pyhull package¶
Subpackages¶
Submodules¶
pyhull.convex_hull module¶
This module implements a ConvexHull class.
-
class
ConvexHull
(points, joggle=False)[source]¶ Bases:
object
Convex hull for a set of points.
Initializes a ConvexHull from points.
- Args:
- points ([[float]]): All the points as a sequence of sequences.
- e.g., [[-0.5, -0.5], [-0.5, 0.5], [0.5, -0.5], [0.5, 0.5]]
- joggle (bool): Use qhull option to joggle inputs until simplical
- result is obtained instead of merging facets.
-
simplices
¶ Returns the simplices of the convex hull.
pyhull.delaunay module¶
This module implements a DelaunayTri class representing a Delaunay triangulation of a set of points.
-
class
DelaunayTri
(points, joggle=False)[source]¶ Bases:
object
Delaunay triangulation for a set of points.
Initializes a DelaunayTri from points.
- Args:
- points ([[float]]): All the points as a sequence of sequences.
- e.g., [[-0.5, -0.5], [-0.5, 0.5], [0.5, -0.5], [0.5, 0.5]]
- joggle (bool): Use qhull option to joggle inputs until simplical
- result is obtained instead of merging facets.
-
simplices
¶ Returns the simplices of the triangulation.
pyhull.halfspace module¶
This module defines classes for computing halfspace intersections
-
class
Halfspace
(normal, offset)[source]¶ Bases:
object
A halfspace defined by dot(normal, coords) + offset <= 0
Initializes a Halfspace.
- Args:
- normal: vector normal to hyperplane offset: offset of hyperplane from origin
-
static
from_hyperplane
(basis, origin, point, internal=True)[source]¶ Returns a Halfspace defined by a list of vectors parallel to the bounding hyperplane.
- Args:
- basis: basis for the hyperplane (array with vector rows) origin: point on the hyperplane point: point not on the hyperplane internal: whether point is inside the halfspace
-
class
HalfspaceIntersection
(halfspaces, interior_point)[source]¶ Bases:
object
Uses qhalf to calculate the vertex representation of the intersection of a set of halfspaces
-
facets_by_halfspace
¶ Returns a list of vertex indices for each halfspace e.g: facets_by_halfspace[0] is the list of indices ov vertices incident to halfspace 0
-
facets_by_vertex
¶ Returns a list of non-redundant halfspace indices for each vertex e.g: facets_by_vertex[0] is the list of indices of halfspaces incident to vertex 0
-
vertices
¶ Returns the vertices of the halfspace intersection
-
pyhull.simplex module¶
This module defines a class representing an arbitrary Simplex in arbitrary dimensional space.
-
class
Simplex
(coords)[source]¶ Bases:
object
A generalized simplex object. See http://en.wikipedia.org/wiki/Simplex.
Initializes a Simplex from coordinates.
- Args:
- coords ([[float]]): Coords of the vertices of the simplex. E.g.,
- [[1, 2, 3], [2, 4, 5], [6, 7, 8]].
-
coords
¶ Returns a copy of the vertex coordinates in the simplex.
-
in_simplex
(point, tolerance=1e-08)[source]¶ Checks if a point is in the simplex using the standard barycentric coordinate system algorithm.
Taking an arbitrary vertex as an origin, we compute the basis for the simplex from this origin by subtracting all other vertices from the origin. We then project the point into this coordinate system and determine the linear decomposition coefficients in this coordinate system. If the coeffs satisfy that all coeffs >= 0, the composition is in the facet.
- Args:
- point ([float]): Point to test tolerance (float): Tolerance to test if point is in simplex.
pyhull.voronoi module¶
This module implements a VoronoiTess class representing a Voronoi tessellation of a set of points.
-
class
VoronoiTess
(points, add_bounding_box=False)[source]¶ Bases:
object
Voronoi tessellation for a set of points.
Initializes a VoronoiTess from points.
- Args:
- points ([[float]]): All the points as a sequence of sequences.
- e.g., [[-0.5, -0.5], [-0.5, 0.5], [0.5, -0.5], [0.5, 0.5]]
- add_bounding_box (bool): If True, a hypercube corresponding to
- the extremes of each coordinate will be added to the list of points.
Module contents¶
pyhull is a Python wrapper to Qhull (http://www.qhull.org/) for the computation of the convex hull, Delaunay triangulation and Voronoi diagram.
Useful low-level functions are implemented for direct import in the base package and can be called as pyhull.qconvex, pyhull.qdelauany, etc.
-
qconvex
(options, points)[source]¶ Similar to qconvex command in command-line qhull.
- Args:
- options:
- An option string. Up to two options separated by spaces are supported. See Qhull’s qconvex help for info. Typically used options are: s - summary of results (default) i - vertices incident to each facet n - normals with offsets p - vertex coordinates (includes coplanar points if ‘Qc’)
- points:
- Sequence of points as input.
- Returns:
- Output as a list of strings. E.g., [‘4’, ‘0 2’, ‘1 0’, ‘2 3’, ‘3 1’]
-
qdelaunay
(options, points)[source]¶ Similar to qdelaunay command in command-line qhull.
- Args:
- options:
- An options string. Up to two options separated by spaces are supported. See Qhull’s qdelaunay help for info. Typically used options are: s - summary of results (default) i - vertices incident to each Delaunay region o - OFF format (shows the points lifted to a paraboloid)
- points:
- Sequence of points as input.
- Returns:
- Output as a list of strings. E.g., [‘4’, ‘2 4 0’, ‘4 1 0’, ‘3 4 2’, ‘4 3 1’]
-
qhalf
(options, halfspaces, interior_point)[source]¶ Similar to qvoronoi command in command-line qhull.
- Args:
- option:
- An options string. Up to two options separated by spaces are supported. See Qhull’s qhalf help for info. Typically used options are: Fp
- halfspaces:
- List of Halfspaces as input.
- interior_point:
- An interior point (see qhalf documentation)
- Returns:
- Output as a list of strings. E.g., [‘3’, ‘4’, ‘ 1 1 0 ‘, ‘ 1 -1 2 ‘, ‘ -1 1 2 ‘, ‘ 1 1 2 ‘]
-
qhull_cmd
(cmd, options, points)[source]¶ Generalized helper method to perform a qhull based command.
- Args:
- cmd:
- Command to perform. Supported commands are qconvex, qdelaunay and qvoronoi.
- options:
- Options to be provided for qhull command. See specific methods for info on supported options. Up to two options separated by spaces are supported.
- points:
- Sequence of points as input to qhull command.
- Returns:
- Output as a list of strings. E.g., [‘4’, ‘0 2’, ‘1 0’, ‘2 3 ‘, ‘3 1’]
-
qvoronoi
(options, points)[source]¶ Similar to qvoronoi command in command-line qhull.
- Args:
- option:
- An options string. Up to two options separated by spaces are supported. See Qhull’s qvoronoi help for info. Typically used options are: s - summary of results p - Voronoi vertices o - OFF file format (dim, Voronoi vertices, and Voronoi regions)
- points:
- Sequence of points as input.
- Returns:
- Output as a list of strings. E.g., [‘2’, ‘5 5 1’, ‘-10.101 -10.101’, ‘0 -0.5’, ‘-0.5 0’, ‘0.5 0’, ‘0 0.5’, ‘3 2 0 1’, ‘3 4 0 2’, ‘3 3 0 1’, ‘3 4 0 3’, ‘4 4 2 1 3’]


Fourth Evangelion Film Gets Release Date
by Jason GuisaoThe rebooted theatrical saga to one of anime's most illustrious series is finally coming to an end.
As reported by The Asahi Shimbun, the fourth and final Evangelion movie will debut in summer 2020. Titled Evangelion 3.0+1.0, the film was first unveiled at the Japan Expo in Paris on July 16. Fans who attended the event got an exclusive chance to view the first 10 minutes and 40 seconds of the movie. Recently, however, a second teaser trailer (in addition to some new posters and artwork) was showcased at a plethora of Japanese theaters.
Click the button below to start this article in quick view.
Previous films in the reboot series included Evangelion 1.0: You Are (Not) Alone, Evangelion 2.0: You Can (Not) Advance and Evangelion 3.0: You Can (Not) Redo. Much like the original critically acclaimed television show, Neon Genesis Evangelion, the film saga follows young Eva pilot Shinji Ikari as he battles supernatural entities called Angels. In addition to partaking in bombastic mecha fights, Shinji must learn to successfully navigate social interactions with his superiors and peers, while coping with the psychological trauma of combat.
Evangelion 3.0+1.0 is directed by the legendary Hideaki Anno, and, like past installments, Studio Khara is returning to produce the film. The movie comes to theaters in summer 2020.
https://schema.orgBreadcrumbListListItem1Homehttps://www.cbr.com/ListItem2Anime Newshttps://www.cbr.com/category/anime-news/ListItem3Fourth Evangelion Film Gets Release Datehttps://www.cbr.com/fourth-evangelion-film-release-date/


€ 265
still needed for this project
Only 5 days left
to found this project
Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed di
Back now
More information
CTA
CTA


Play Tic-Tac-Toe with
Friends and Bots.
Developed By Suraj Abubakar Dulah
Play with Bots
Play with Friends


Just For Fun: The Story of an Accidental RevolutionaryLinus Torvalds
A humorous autobiography of Linus Torvalds, the creator of the Linux
kernel, co-written with David Diamond. The book primarily theorizes
the Law of Linus that all evolution contributed by humanity starts
for survival, sustains socially and entertains at last. As well as
this the book explains Torvalds' view of himself, the free software
movement and the development of Linux.


--- layout: default title: 404 - Page Not Found ---
Try using the search or going back home.
Photo by J.D. Hancock.


I am a 25 years web developer, graduated in Computer Science by the University Nove de Julho (Brazil - São Paulo). I've been working with IT for eight years now. Of those, my first three years in the IT area was working with network infrastructure and servers. For the last five years I've been working focused on software development.
During these 8 years in the Information Technology career the firsts four years I had the oportunity to preside with Network Infrastructure and Servers/Mainframes. Working directly in Linux, Windows and Solaris operating systems. Installing, Configuring and customizing network Routers and Switchers. Dealing with development enviroment, DBMS, backup routines, and scripting server specific functions.
After all the experience I gathered working with Network Infrastructure I realized that what I loved doing the most was creating scripts to automate specific tasks, and by realizing that I decided to start working with Software Development, and ended up finding my passion. In my professional development career I had the oportunity to work with the most diverses and currents technologies adequated to corporative enviroment. I had the chance to work with back from .NET to Java, and Python 3 and front end, working with Angular 2, Jquery, Knockout, React and others libraries. I had lucky in always been working with companies leader's that encouraged me to develop my solutions Outside the Box, getting to know better about all technologies avaiable for the specific problem to be solved and improving my coding skills. After these years of experience, these are my currently qualifications:
• Languages/Libraries (Python, C#, .NET Full, .NET Core).
• Web Application (Angular JS 2, Web API 2,MVC 5, Web Forms, HTML5, JavaScript, CSS3, Knockout JS, Bootstrap, Underscore.js, JQuery).
• Data manipulation (Entity Framework 6, Oracle 11g, ADO.NET, MS SQL, XML).
• Architectures (MVC, MVVM, IoC, DI).
• Software Engineering (GOF, GRASP, SOLID, TDD).
• Distributed Applications (Web API 2, WCF).
• Mobile Development (Ionic2/Angularjs2).
• Desktop Development (Windows Forms) (multi-threading).
• Application Lifecycle Management (VSTS, automatic builds, powerShell)
• Coding Version Controls (TFS, GitHub, SVN).
Company: Self Employed. My Startup and own Projects.
Role: Co-Founder / Software Developer
Main Projects:
TwoForOneApp (Ionic2 + AngularJs 2) - Hybrid Mobile application developed for Android and IOS with the goal to manage and show discount offers available by a third party company.
For this application I decided to create a .NET Web Api 2 integrated with ORM Entity Framework 6.0 and SQL Server Middleware layer, that is responsible to supply all data related to my Mobile Application. On the front-end I've opted to develop the User Interface with Ionic 2 and AngularJS 2 along with Native Google Maps API, which showed to be a really robust and simple hybrid mobile development environment.
Startup Rankeia - Startup idealized by two of my friends, where I've joined with those to aggregate values to the Startup. The product is a data-driven comparing platform with the objective to help costumers in theirs purchasing decisions.
I can say a lot about this one, but I'll try to keep it short and technical. When we came up with this idea. We've decided doing the gathering data part with a crawling intelligence that would look into many websites containing our main product type. So, we've developed a this crawling intelligence service to to gather the products from different sources and normalize all the data gathered so we could use it in our web platform. This service was made using C#, applying dictionary patterns to normalize all the data we obtained to transform it into actual information to our platform.
After that, we've developed the B2C web platform using .NET Web Api architecture integrated with Entity Framework 6.0 and SQL Server as a Middleware in order to extend this layer into a B2B product later, and a AngularJs UI project to act as the costumer's access platform.
Besides the technical knowledge on this project, it worth mentioning all the business-corporative related matters that I had learned in order to keep our startup alive and running. Since the idea gathering and validation, finding the team and building awareness about the market, until developing a Minimum Valuable Product and a business planning, all those corporative knowledge is important and definitely matters for my career.
Company: Planner Software Consulting and Development - Consulting enterprise focused in terrain logistic vehicles software development
Role: Full Software Developer
Geoloction and Vehicle Manager system (.NET C#) – System developed to manage, analyse and visualize vehicles equiped with GPS tracking providers.
The software was developed in two parts: The first one was a web application, which we’ve used a N layer architecture to decouple domain logic from User Interface and Database, along with the up to date ORM Entity Framework 6.0 acting as a facilitator to database (Microsoft SQL Server) access. On the front-end it was used MVC Framework 5 along with JQuery library to manage all user interface information related to administration business rules and Google Maps Geolocation API for visualizing vehicles tracking positions on maps. The second part of this system is a Windows Services created using C++, so it could be the most robust as possible, and could processes a huge amount of GPS data generated by vehicles without interfering the UI application.
Company: Fcamara - IT Formation and Consulting, IT Software Development Consultancy focused on e-commerce, port and critical operations and critical operations
Role: Full Stack Developer
Main Projects:
Internal ERP (. NET) – Internal Enterprise Resource Planning.
Developed in AngularJS on the Front End Layer, integrated with a Web API (.NET) Middleware Layer responsible for management of ERP's all modules. MSSQL was used as application database along with Enity Framework 5 as ORM. The architecture used for this system was focused in decoupling the front-end from the back-end, generating specific view/application layers for each ERP modules and domain centralized layers in the Web Api, so that any maintenance, change or deployment in the application could be completely doable due to the independent layers.
Services (.NET) – Webservices/WCF's
Web and Desktop Services developed in C# such as Windows Services, Web Serves and Windows Communication Foundation Services.
High disponibility services focused on high performance and flexibility so it's able to communicate with different communications protocols such as FIX, TCP, UDP, etc. Using MSSQL as Database and Team Foundation Server as Version Control.
Integration System (Python) – System made to act as a intermediate between two endpoints, handling any kind of data from any data source such as SQL, SOAP and Rest Services.
For this system, I’ve used python 3 as mains development technology integrated with Flask Web Framework for users sessions management and security control. For communication between the different kinds of data sources I decided to go with the native module Requests from Python 3. For the database application, MySQL was integrated with ORM Peewee, an specific fast and lightweight ORM library for Python 3. On the front end application, AngularJs 2 showed itself really useful, considering the amount of cruds necessary for this application. JWT Security Module was used in the authentication to generate user-session based tokens, along with interceptors to validate all requests made to server.
BI Systems (BI MSQL) – Development of OLAP (Online Analytical Processing) with pre-indexed MDX queries to filtering e viewing of huge amount of data in specific client's dashboards. Reporting Solutions through complex and dynamics Reporting Service's reports contemplating MDX queries applicable in the Data Cube. Creation Of Integration Services Packages as ETL Solutions to crawling, consolidation and load of data supporting different types of format.
Search Engines – Implementation, Maintenance and Customization of High Scalable and Available Search Engines such as Apache Solr, Elastic Search, FAST Search for Sharepoint, being in charge of Crawling Data Strategies, Creation of specific Search Indexers, scalability and high availability strategies through multiple instances integrated with load balancers.
Company: Fiorde International Logistic, Logistic Services Provider in the importation and exportation areas.
Role: Network Infrastructure Analyst
Worked in the administration and implantation of Microsoft Active Directory, DNS Servers, WSUS, DHCP, Backup Routines, Microsoft and Linux environments. Analysis and implantation of structed cabling , wireless networks 802.11x. Linux firewall implementations and Networks configuration. Helpdesk levels 3 and 4.
Company: PRODESP - Eletronic Government Services
Role: Network Infrastructure Junior Analist
I acted in the Processing Data Center (PCD) of São Paulo's Government Public Services Branch. Having to handle with administration and Helpdesk Calls support to software and hardware repairs, Servers/Mainframes backup routines and Helpdesk general related issues levels 3 and 4.
Co-Founder & Desenvolvedor
I can say a lot about this one, but I'll try to keep it short and technical. When we came up with this idea. We've decided doing the gathering data part with a crawling intelligence that would look into many websites containing our main product type. So, we've developed a this crawling intelligence service to to gather the products from different sources and normalize all the data gathered so we could use it in our web plataform. This service was made using C#, applying dictionary patterns to normalize all the data we obtained to transform it into actual information to our plataform.
After that, we've developed the B2C web plataform using .NET Web Api archtecture integrated with Entity Framework 6.0 and SQL Server as a MiddleWare layer in order to extend this layer into a B2B product later, and a AngularJs UI project to act as the costumer's access plataform.
Besides the technical knowledge on this project, it worth mentioning all the business-corporative related matters that I had learned in order to keep our startup alive and running. Since the idea gathering and validation, finding the team and building awareness about the market, until developing a Minimum Valuable Product and a business planning, all those corporative knowledge is important and definitly matters for my carreer.
Analista Desenvolvedor
TwoForOneApp (Ionic2 + AngularJs 2) -
Hibrid Mobile application developed for Android and IOS with the goal to manage and show discount offers available by a third party company.
For this application I decided to create a .NET Web Api 2 integrated with ORM Entity Framework 6.0 and SQL Server MiddleWare layer, that is responsible to supply all data related to my Mobile Application, so if necessary, I could reuse the same data in other future projects. On the front-end I've oppted to develop the User Interface with Ionic 2 and AngularJS 2 along with Native Google Maps API, wich showed to be a really robust and simple hibrid mobile development enviroment.
2015/2016
Full Software Developer
System developed to manage, analyse and visualize vehicles equiped with GPS tracking providers.
The software was developed in two parts: The first one was the web application, wich used a N layer archtecture to decouple domain logic from User Interface and Database, along with the up to date ORM Entity Framework 6.0 acting as a facilitator to database (Microsoft SQL Server) access. On the front-end it was used MVC Framework 5 along with Jquery library to manage all user interface information related to administration businesss rules and Google Maps Geolocation API for visualizing vehicles tracking positions on maps. The second part of this system is a Windows Services created using C++, so it could be the most robust as possible, and could processes a huge ammount of GPS data generated by vehicles without interfering the UI application.
2012/2015
Full Software Developer
Developed in AngularJS on the Front End Layer, integrated with a Web API (.NET) Middleware Layer responsable for management of ERP's all modules. MSSQL was used as application database along with Enity Framework 5 as ORM. The archtechture used for this system was focused in decoupling the front-end from the back-end, generating specific view/application layers for each ERP modules and domain centralized layers in the Web Api, so that any maintenance, change or deployment in the application could be completely doable and due to the independent layers.
Full Software Developer
System made to act as a intermetiate between two endpoints, handling any kind of data from any datasource such as SQL, SOAP and Rest Services.
For this system, i've used python 3 as mains development technology integrated with Flask Web Framework for users sessions management and security control. For comunication between the different kinds of datasources, I used the native module Requests from Python 3. For the database application, Mysql was integrated with ORM Peewee, an specific fast and lightweigth ORM library for Python 3. On the front end application, AngularJs showed itself really useful, considering the ammount of cruds necessary for this application JWT Security Module was used in the authentication to generate user-session based tokens, along with interceptors to validate all requests made to server.
BI Consultant
Development of OLAP (Online Analytical Processing) with pre-indexed MDX queries to filtering e viewing of huge ammount of data in specific client's dashboards.
Reporting Solutions through complex and dynamics Reporting Service's reports contemplating MDX queries applicable in the Data Cube. Creation Of Integration Services Packages as ETL Solutions to crawling, consolidation and load of huge ammount of data supporting different types of format.
Corporate Search Specialist
Implementation, Maintenance and Customization of High Scalable and Avaiable Search Engines such as Apache Solr, Elastic Search, FAST Search for Sharepoint, beign in charge of Crawling Data Strategies, Creation of specific Search Indexers, scalability and high avaiability strategies through multiple instances integrated with load balancers
2010/2011
Network Infrastructure Trainee
Worked in the admnistration and implatation of Microsoft Active Directory, DNS Servers, WSUS, DHCP, Backup Routines, Microsoft and Linux enviroments. Analysis and implantation of structed cabling , wireless networks 802.11x. Linux firewall implementations and Networks configuration. Helpdesk levels 3 and 4.
2009
Network Infrastructure Trainee
I acted in the Processing Data Center (PCD) of São Paulo's Government Public Services Branch. Hading to handle with administration and Helpdesk Calls support to software and hardware repairs, Servers/Mainframes backup routines and Helpdesk general related issues levels 3 and 4.


Authored article
In his second monthly commentary Sir Michael Wilshaw looks at the role that governance plays in an increasingly autonomous education system.
Five hundred failing governing boards identified by Ofsted this year – time for a re-think?
Following on from my commentary last month on the progress that has been made by primary schools in recent years, I want to turn my attention this month to the issue of governance.
The role that governance plays in ensuring that every child receives the best possible education has never been more important.
The huge changes to our increasingly autonomous education system over the past 5 years, including the rapid growth of academies and free schools, has placed more power into the hands of governing boards than ever before.
Governors and trustees are there to set the school’s vision, ethos and strategic direction. They are also expected to hold the headteacher to account for the performance of teachers and pupils, and to ensure that public money is being well spent.
Governors have to be perceptive people who can challenge and support the headteacher in equal measure and know when and how to do this. They must never overstep the mark and try and run the school themselves. As the Chief Executive of the National Governors Association succinctly puts it, governors and trustees should be: “Eyes on, hands off!” They also have to understand the complexities of school organisation and be able to analyse the wealth of data that now exists on school performance.
We should not underestimate just how vital the role of governors and trustees has become in helping to raise standards. It is also why Ofsted now shines a brighter spotlight on the effectiveness of governing boards, and reports on their performance and their impact in greater detail. In every Ofsted report, inspectors are expected to write a discrete paragraph on the effectiveness of governance and whether it is influencing school performance.
In short, the role is so important that amateurish governance will no longer do. Good will and good intentions will only go so far. Governing boards made up of people who are not properly trained and who do not understand the importance of their role are not fit for purpose in the modern and complex educational landscape.
That is why, last year, I recommended to government that it should give serious consideration to mandatory training for all governors and trustees. I am disappointed that there has been such little progress on this recommendation. High-quality training for all governors, but particularly the chair and vice-chair, is vital to the success of our schools. I have, therefore, asked Her Majesty’s Inspectors, when they make a judgement on governance, to focus particularly on training and the arrangements schools are making to source expertise in this vital work.
We know what can happen when things go badly wrong with the governance of a school.
We have all heard about the governors in Birmingham who abused their position to try to alter the character of a number of schools in line with their own personal ideology – both ‘eyes on and hands on’! We have also read the stories about governing boards nodding through wildly excessive remuneration packages for headteachers and lacking proper oversight of school finances.
These are, of course, mercifully rare cases, but they do serve to illustrate the influential role that governing boards play in modern schools.
There are thousands of people across the country who give up their time to serve on governing boards. We know that the majority take their duties very seriously and act responsibly and in the interests of the whole-school community.
Inspectors find that in many schools, governors and trustees are making an important contribution to raising standards and lifting aspiration. The best of these champion the school in the local community and take great pride in the success of their pupils.
Take, for example, these 2 extracts from recently published inspection reports of primary schools in Berkshire and the West Midlands respectively.
Governors work very effectively with school leaders to ensure the school is a successful learning community. They hold the leaders robustly to account for the school’s performance. The range of governors’ expertise and their knowledge of the school are excellent. Governors are fully tuned into pupils’ current and future needs.
and
Governance is outstanding. Governors hold the headteacher to account very well. They use their deep understanding of the school’s performance to ask challenging questions such as, ‘Why are standards in mathematics not improving as quickly as those in reading, and what is being done about it?’
Unfortunately, such strong, dynamic and cohesive governance is far from universal. Ofsted comes across too many schools where oversight is weak and the governing board is struggling to have the necessary impact.
In the last academic year alone, there were nearly 500 schools where inspectors were so concerned about the performance of the governing board that they called for outside experts to be drafted in to carry out an urgent external review of governance.
In a speech I made nearly 3 years ago, I argued that we needed a more professional approach to school governance, especially in our most challenging schools serving the most deprived communities.
I also said that the first sign that a school was in decline or in difficulty should trigger intervention by the local authority, academy sponsor or the Department for Education, with additional professional appointees being parachuted onto the board.
Finally, I expressed my belief that we should not rule out payment to governors with the necessary expertise to challenge and support schools with a long legacy of underachievement.
Aside from a relatively small number of interim executive boards that have been put in place in some of the worst cases, nothing I have seen or learned in the intervening period has altered my view on these matters. Indeed, if anything, the need for decisive action in this area has become even more pressing, especially when it comes to underperforming secondary schools in certain parts of the country.
I therefore pose the question once again: has the time not come to consider paying chairs and vice-chairs in order to recruit the most able people to schools in the most difficult circumstances?
When leadership and management of a school are judged to be ineffective, entrenched weak governance is invariably one of the underlying reasons. Time and again in these cases, inspectors come across the same type of issues:
Depressingly, we often find the weakest governance operating in the most challenging schools in the poorest areas of the country – the very schools that stand to gain most from strong, professional and forensic governance and are least able to muddle through when this is absent.
That does not mean that our inspectors do not come across the type of weaknesses I’ve highlighted above in more affluent parts of the country. We also know there are schools where governors and trustees are aware of the overall attainment of pupils at the end of the key stages but do not realise these figures mask inequalities among different groups of pupils. They are also unaware that children further down the school are making less progress than they should be from high starting points.
Schools are now complex institutions subject to far greater external accountability than they were in the past.
In this context, being a governor is far more demanding and carries huge levels of responsibility.
It would be unrealistic to expect every member of the governing board to have a deep knowledge of educational issues. However, for the 2 or 3 people who hold the most senior roles on the board, and who could be responsible for ‘cascading’ training to other members, I believe this is essential.
In addition, these senior governors need to be able to ask the probing questions and hold the difficult conversations when necessary. That can be harder if governors lack confidence in their own knowledge of school organisation and performance. Indeed, lack of confidence can easily lead to a ‘cosy’ relationship with the headteacher and far too great a reliance on the latter’s viewpoint.
Undoubtedly the most important task that will ever fall to a governing board is to appoint a new headteacher.
I suspect nearly all of us who have spent our careers in schools can cite examples of the wrong person being handed the top job. I think it is, therefore, legitimate to ask whether senior governors who lack the professional credentials can be relied on to make the right appointment that serves the interests of children. This is particularly pertinent when it comes to standalone academies that have opted out of local authority control but are not part of any multi-academy trust. In such cases, the governing board may have no-one to turn to for professional advice and support when deciding on a new head to lead the school. It is surely no coincidence that in last year’s Annual Report , Ofsted identified standalone academies as the most vulnerable to decline and failure.
I believe we also need to look seriously at how some governing boards are constituted and in particular at the role played by what are known as representative governors, in particular parent governors. As the latest Department for Education guidance rightly makes clear, good governance is predicated on having the right range of skills and experience needed to do the job effectively. It should not be about how many people represent particular interest groups but about the level of knowledge and expertise that can be brought to the table.
That is not to say that simply having the right people with the right professional qualifications guarantees an effective governing board. The role demands commitment. There can be no place for those who have signed up to become a governor because they think it will boost the credentials on their CV and are content to sit passively through meetings where important aspects of the school’s performance are being put under scrutiny.
The issue of governance is fundamental to the success of our education system in England and to whether we can sustain and build on the improvements in school standards of recent years.
For this reason, I have commissioned inspectors to carry out an in-depth and far-reaching survey into the effectiveness of governance in our schools. We will publish a report next year.
Today I am launching a call for evidence to inform this piece of work from anyone who has views and experience to contribute.
This thematic survey will explore in detail the issues I have raised in this commentary.
Specifically, it will:
Governance is an issue that does not always get the attention that it merits. I hope this commentary and the survey that will follow will go some way to changing this. I look forward to hearing from serving governors and trustees, headteachers, teachers, parents and others whose view will help determine the way forward.
Published: 19 November 2015
From: Ofsted Sir Michael Wilshaw
Part of: HMCI's monthly commentaries


Group 1
- group 1 field 1 stuff
- group 1 field 2 stuff
- group 1 field 3 stuff
- group 1 field 4 stuff
- group 1 field 5 stuff
- group 1 field 6 stuff
Group 2
- group 2 field 1 stuff
- group 2 field 2 stuff
- group 2 field 3 stuff
- group 2 field 4 stuff
- group 2 field 5 stuff
- group 2 field 6 stuff
Group 3
- group 3 field 1 stuff
- group 3 field 2 stuff
- group 3 field 3 stuff
- group 3 field 4 stuff
- group 3 field 5 stuff
- group 3 field 6 stuff
Group 4
- group 4 field 1 stuff
- group 4 field 2 stuff
- group 4 field 3 stuff
- group 4 field 4 stuff
- group 4 field 5 stuff
- group 4 field 6 stuff
Group 5
- group 5 field 1 stuff
- group 5 field 2 stuff
- group 5 field 3 stuff
- group 5 field 4 stuff
- group 5 field 5 stuff
- group 5 field 6 stuff
Group 6
- group 6 field 1 stuff
- group 6 field 2 stuff
- group 6 field 3 stuff
- group 6 field 4 stuff
- group 6 field 5 stuff
- group 6 field 6 stuff


MANUFACTURING & DESIGN OF
• PACKAGING MACHINES SPARE PART – FEEDING SCREW
• ALL TYPE SEALLING JAWS & CUTTERS
• DEVLOPMENTS OF “IMPORT SUBSTITUTE ITEMS” from provided photographs/sketch/sample
• JIGS & FIXTURES – PRESS TOOLS – PRECISION PARTS
• CUTTING TOOLS – IMPORT SUBSTITUTE ITEMS
• ALL KINDS OF FABRICATION WORKS. (S.S., Aluminium & MS)
• MATERIAL HANDLING EQUIPMENTS LIKE TROLLEY, PALLETS
• CONVEYOR SYSTEMS FOR ASSEMBLY & TRANSPORT
• All equipments manufacturing in PTFE, Delrin, Nylon, Brass, SS & Aluminium
• Job work Items develop and supply with CNC Machine
We develop new products according to customer's request along with this we develop 'import substitute items' from the photograph/sketch/sample of the product.
As per customer's requirement we can reverse engineer different items
All kinds of packaging machine spares, fabrication SS and Aluminium and Material Handling equipment.
We are sure we will be able to fulfill our commitments at right time and competitive cost to your satisfaction.
CEO
Website Developer


Over the past year, I've become increasingly interested in simulated animations. There's a very clear link between this kind of programming and choreography; much of my choreographic work is created via improvised responses to contained conditions. The added, exciting layer with 3d animation is that you can warp and/or ignore physics in embodied simulations.
To this end, I worked on animations in relation to bodies and containers. One track focused on soft bodies falling in and out of a container, and another focused on the body as a container for moving objects.
The image at left is the one with the soft bodies falling into the container. Once the soft body looked right falling in, I duplicated it several times and rendered it out. Then, I flipped the bodies and repeated the animation. You can see the sloshing is a little bit faked, but the loop is complete. Given more time, I would have made that loop a little cleaner, and kept the soft bodies a little more floppy on their way out.
Rather than using Blender's soft body physics simulator, I used cloth physics for these with some fluid pressure inside. This sped up rendering time immensely.
The two above were my first experiments animating objects with the body as container. In these, the human shape of body is fully recognizable. I was interested in the ways the inside spheres would more dramatically move the body from place to place, and playing with perceptions of tension and control.
The animation at left used perlin noise effects on the x, y and z axes to randomize the motion of the inner particles. The one at right I keyframed manually, which was more dynamic but caused issues with tearing of the body mesh.
The two above ended up being my favorite versions. In this case, letting go of the image in my head and embracing the weirder options that the technology allowed was important. Abstracting the body actually led to a more interesting and organic motion pattern, and more interpretive possibilites.
Both of these use perlin noise to generate the motion of the interior spheres. The video below demonstrates editing these via a noise modifier, and how it changes the animation of the interior objects.


The Annotation Scene Library provides classes to represent the annotations on a
Java program and read and write those annotations in various formats.
Structure
- An {@link annotations.el.AScene} holds annotations for a set of classes
and packages.
- A {@link annotations.el.AElement} represents one particular element of a
Java program within an
AScene
.
- Package {@link annotations.io} provides routines to read and write
{@link annotations.el.AScene}s in various formats.
- An {@link annotations.Annotation} represents an annotation (which might be a
field of another annotation). It can be attached to an {@link annotations.el.AElement}.
- An {@link annotations.el.AnnotationDef} represents an annotation definition,
consisting of a definition name and field names and types
({@link annotations.field.AnnotationFieldType}s). It also indicates the
annotation's retention policy.
Example
The example program annotations.tests.Example
demonstrates the
library's annotation-processing capabilities. Its source code (and also
example input and output) are distributed with the Annotation Scene Library.


It easily becomes automatic to check for notifications/new messages/new emails etc. To give my rational self some time to intercept compulsive behaviour I have made this elisp snippet.
(defun sarg/otp-for-confirm ()
"Generates random hex string"
(format "%06x%06x%06x"
(random (expt 16 6))
(random (expt 16 6))
(random (expt 16 6))))
(defun confirm-advice (proc &rest args)
"Asks to enter random string as confirmation before executing PROC."
(interactive)
(let* ((pass (sarg/otp-for-confirm))
(input (read-string (format "Enter %s if you wish to proceed: " pass))))
(if (string= input pass)
(apply proc args))))
;; Apply the advice.
(advice-add 'ivy-telega-chat-with :around #'confirm-advice)


MAYDAY
.US
Help End Big Money Politics
Help us elect candidates committed to fundamental reform in 2016
Pledge Now


{{/* A modified version of the version-banner.html partial in Docsy. */}} {{ $color := "primary" }} {{ $status := .Site.Params.version.status }} {{ $latest_version := .Site.Params.version.current_version_url }} {{ if eq $status "unstable"}}
You're looking at an unstable version of this specification. Unstable specifications may change at any time without notice.


The variables of a component of this library can be accessed in the usual way. However, since most of these variables are basically elements of vectors, i.e., have a direction, the question arises how the signs of variables shall be interpreted. The basic idea is explained at hand of the following figure:
First, one has to define a positive direction
of this line, called axis of movement. In the top
part of the figure this is characterized by an arrow defined as
axis of movement
. The simple rule is now: If a
variable of a component is positive and can be interpreted as the
element of a vector (e.g., force or velocity vector), the
corresponding vector is directed into the positive direction of the
axis of movement. In the following figure, the right-most mass of
the figure above is displayed with the positive vector direction
displayed according to this rule:
The cut-force m2.flange_a.f
of the right mass is
directed into the direction of movement if the values are positive.
Similarly, the velocity m2.v
of the right mass is also
directed into the direction of movement if the values are
positive


Elikem's Coding Exercise
Elikem R .Des-Amekudi
Bio
Hobbies
Social media
Elikem's Social Media
Elikem's Instagram
Elikem's Linked in


Hip fractures account for an estimated £1.1 billion in the UK’s annual hospital costs.
Due to an ageing population, the incidences of hip fracture are estimated to rise from
1.66 million in 1990 to 6.26 million by 2050, which will cause the cost to increase dramatically.
This cost is due to recurrent hospitalizations and orthopaedic complications related to the delay
in post-operative physiotherapy following fragility hip fracture surgery.
The bad quality of the physiotherapy service is the problem we want to solve.
Hygie (also Hygieia) was one of the Asclepiadae, the sons and daughters of the god of medicine, Asclepius, and his wife Epione.
Hygieia was the goddess/personification of health, which is why we decided to go for that name.
My name is Héloïse Rozès. I am a Final Year Biomedical Engineering student in the M.Eng. program of Imperial College London (UK).
After suffering from a partial hip fracture in June 2018, I decided to use positively my experience as a patient and work on the flaws of the physiotherapy system.
I am currently building & testing an app which will help physiotherapists deliver premium care to their patients and accompany them on their journey.
Next year, as I start the HEC Master in Management program, I will strive to continue building my app and develop it into a start-up with the help of Ariel Fedida.
Ariel Fedida is Hygie's co-founder. He graduated from BSc Biochemistry in 2019 and is currently at the ESSEC Business School.


Naomi Parker Fraley, above right, and the poster she inspired.
Here is a short biography of Naomi Parker Fraley's and her life surrounding the poster controversary:
- Naomi Fern Parker was born in Tulsa, Okla., on Aug. 26, 1921.
- Parker was the third of eight children to Joseph Parker and Esther Leis.
- Her father's job caused the family to move a lot, and they were living in Alameda at the time of the Pearl Harbor attack.
- Fraley and her younger sister went to work at the Naval Air station, where they were assigned to the machine shop for aircraft assembling duties.
- In 1942, her photograph was taken at a shaper and it appeared in the Pittsburgh Press.
- The following year Howard Miller's "We Can Do It!" poster appeared in factories as part of a series intended to boost morale.
- Miller could have seen the picture of Fraley and it is presumed that the newspaper photo was the source of his image.
- In 2011, Fraley was at a reunion held at a historical park when she spotted the photo. “I did think it looked like me,” she told People Magazine. She was surprised to see the caption stated the woman was Geraldine Hoff Doyle. (Doyle had felt she recognized herself in both the photograph and the poster. The misidentification spread.)
- Fraley wrote to the park to inform them of their mistake and they thanked her.
- Seton Hall University professor James J. Kimble had become interested in the poster which was now an icon of the feminist movement.
He tracked down the original picture and saw it was the original caption that showed the woman pictured was "Naomi Parker".
- He then found Parker and was certain she was the woman in the photo. However, Miller, the poster creator, left behind no writings to indicate who the woman might be.
- In her personal life, Fraley was married three times. She acquired the name Fraley from her third husband, who died in 1988.
- She died on January 20, 2018, in Longview, Washington at the age of 96.
- In 2016, the World-Herald interviewed Fraley and asked her how it felt to be identified as the real life Rosie the Riviter. Her response? "“Victory! Victory! Victory!”
To read more about Fraley's life, visit her Wikipedia page here.
To read Fraley's obiturary from the New York Times, click here.
“The women of this country these days need some icons. If they think I’m one, I’m happy.”


Sam Esidem
Full Stack Android Developer
Community manager
forLoopUyo Organizer
GDG UYO Co-Organizer
Associate Android Developer (Certified by Google)
@samesidem
I love trying new things. Proudly from Akwa Ibom State.
I love Coding, football and travelling.


AWS Post-Event Summaries
AWS Post-Event Summaries
The following is a list of post-event summaries from major service events that impacted AWS service availability:
- Summary of the Amazon EC2 and Amazon EBS Service Event in the Tokyo (AP-NORTHEAST-1) Region, August 23, 2019
- Summary of the Amazon EC2 DNS Resolution Issues in the Asia Pacific (Seoul) Region (AP-NORTHEAST-2), November 24, 2018.
- Summary of the Amazon S3 Service Disruption in the Northern Virginia (US-EAST-1) Region, February 28, 2017.
- Summary of the Amazon DynamoDB Service Disruption and Related Impacts in the US-East Region, September 20, 2015.
- Summary of the Amazon EC2, Amazon EBS, and Amazon RDS Service Event in the EU West Region, August 7, 2014.
- Summary of the Amazon SimpleDB Service Disruption, June 13, 2014.
- Summary of the December 17th event in the South America Region (SA-EAST-1), December 20, 2013.
- Summary of the December 24, 2012 Amazon ELB Service Event in the US-East Region, December 24, 2012.
- Summary of the October 22, 2012 AWS Service Event in the US-East Region, October 22, 2012.
- Summary of the AWS Service Event in the US East Region, July 2, 2012.
- Summary of the Amazon EC2 and Amazon RDS Service Disruption in the US East Region, April 29, 2011.
- Summary of the AWS Service Event in the Sydney Region, June 8, 2011.


Luxury sailing yacht sank in Indonesian waters, crew rescued
by Mikhail VoytenkoLuxury sailing yacht ASIA with 4 crew on board, including two Brits, sank on Nov 22 in Indonesian waters, most probably in Banda sea, after hitting an unidentified object. All crew went into RHIB and shortly after were picked up by marine police, no injures reported. Yacht was en route from Kalabahi, Alor Island, Indonesia, Banda sea, to Phuket Island, Thailand.
Luxury sailing yacht ASIA, MMSI 533110251, length 29 meters, 10 guests, 4 crew, flag Malaysia, owners Paul and Debbie Johnson (skipper and chief officer), for charter. For more details and photos visit https://www.boat-yacht-charters.com/yacht-charter-asia-index.php


 We
use them to:
- Remember your preferences.
- Tailor our sites to your interests.
What kind of cookies does this website use?
- First party cookies
- These are set by the website when you login. Only that website can read them.
- Session cookies
-
These are stored while you’re browsing. They get deleted from your device when you close your browser
e.g. Internet Explorer or Safari.
- Third party cookies (Google Analytics)
-
These are set by someone other than the owner of the
website you’re visiting. Google Analytics is the tool which helps website and the owners of
applications to understand the way in which their visitors interact with them. GA can use some
cookies to collect statistical information regarding the user behaviour without personally
identifying the users.
More
information.
Rejection or elimination of cookies
You can allow, block or delete the cookies installed on your computer through your browser’s
settings options, in which case you may not be able to access certain areas of the website. If you
wish to know how to manage your browser’s cookies, please access the following links:
More information
If you wish to have more information regarding the use of cookies on this site, you can request it here.
{% endblock %}


THE CUP A film review by Mark R. Leeper
Capsule: The first film from Bhutan will win no prizes for inventive plotting. In a Tibetan monastery in exile in India the mischievous young monks want to break with centuries of tradition and to see the World Cup Championship. The plot is new packaging for old plot elements. Not all of the messages of this film were necessarily intended. Rating: 6 (0 to 10), +1 (-4 to +4)
Typically the first film from a filmmaker or from a country is a simple one. One starts with baby steps and learns to walk before one can run.
The film opens showing the daily life in a Tibetan monastery. It may not be intended but the primary message of these scenes is that the life of a monk is one of monotony that would drive the rest of us crazy. At least there are interesting characters to flesh out the tedium like a monastery soothsayer who gets little respect from anyone. In the daily routine there is cooking and prayer and occasional exercise. Nothing drives home the monotony better than a scene in which visitors have arrived. The abbot and some high monks talk to them. The monks are in the traditional yellow and maroon robes. The curtains are in the same yellow as the robes, the luggage is in the same maroon. One's eye searches in vain for a break in the color scheme.
The young monks like to play football with anything available. The quality of life would seem to be stultifyingly dull if it were not for the young monks' interest in football. In the case we see it is a Coke can. The monks paste on their walls pictures of their football heroes. Four of the young monks even sneak into town to watch the semi-finals on TV. This is all done under the stern but loving eye of Geko (Orgyen Tobgyal), sort of the vice-principal or house-father of the monastery. One of the new arrivals gets an idea that perhaps they can rent a TV and an antenna and see the World Cup Finals from the monastery. The question is taken to the old abbot who does not seem to quite understand the concept of a game. (He must indeed be and old man to have forgotten games. The young monks play them all the time.)
When the abbot agrees there are but ten hours until the game will be on. In that time there are several obstacles to be overcome. First of all there is the question of how to pay for the rental. The must figure how to move the dish. Once they have it they must set it up with no technical experience. There are come complications as the greed of the TV dealer almost ruins the night for the young monk who planned it. He scalps what money he can from the young monks and misdirects them. Norbu seems less than respectful toward Indians.
The plot of kids sneaking out of boarding school and getting into trouble has been a staple of films going back at least to silent film. So have head masters who seemed gruff disciplinarians but at heart love their charges and are old softies. Certainly the revelation that holy people can be interested in something as mundane as sports is not original either. In a film from any other origins with this plot would seem cliched. Norbu does not give us any new slant beyond the setting. This is a film that is moderately entertaining but not very original at all.
It is, however, the very first feature film from Bhutan. It might be fairer to say that it is a Bhutan-Australia co-production. To paraphrase Dr. Johnson, it is not Norbu has made a great film, it is just interesting that Bhutan has made a film at all. Here Norbu has given us enough of a look into the daily life of a Tibetan monk to convince us that that life is not for most of us. And he has told us a small, simple, likable story. The story is based on a real incident we are told, though the copyright notice at the end denies it. Still as a film from Bhutan, it is a good start. Welcome to the majors. I rate it a 6 on the 0 to 10 scale and a +1 on the -4 to +4 scale.
Mark R. Leeper<EMAIL_ADDRESS>Copyright 2000 Mark R. Leeper
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Preparation time
less than 30 mins
Cooking time
over 2 hours
Serves
Serves 6-8
Put the beef and the tongue in a very large pan and cover with cold water.
Add the chopped vegetables to the pan along with the salt and freshly ground black pepper and the bouquet garni. Simmer, covered, for two hours over a low heat.
After two hours, add the chicken and sausages to the pan. Simmer for a further two hours until all of the meat is tender and cooked through. Take the pan off the heat.
Carefully remove the meat and vegetables from the pan and keep warm.
Put the pan back on the heat, and, when simmering, add the spaghetti. Cook for a further 7-10 minutes until the pasta is cooked through.
Serve the broth first and then the warmed meat on the side, along with some mustard and gherkins.


--- layout: page weight: 0 title: Outlook 2007 navigation: show: true ---
These instructions will walk you through how to add an SMTP server to an existing Outlook setup, but you can also add these settings at the account creation stage.
First, go to: 'Tools' > 'Account Settings'
The 'Account Settings' window should appear as below; please select the account you receive e-mail through and click the 'Change' button.
The following 'Change E-mail Account' window will appear. This setting (in the red rectangle below) needs to be set for our SMTP address.
After you are finished, click the 'More Settings' button. The following 'Internet E-mail Settings' window will appear. Click on the 'Outgoing Server' tab and input the settings shown (username and password are your SendGrid credentials).
{% info %} Your SendGrid username may not necessarily be an email address. If your SendGrid username is example_user, enter example_user in the User Name field, not<EMAIL_ADDRESS>{% endinfo %}
Next, click on the 'Advanced' tab and enter the information as shown below. (Keep in mind you can also use port 25 with no security or 587 with TLS security.)
Click 'OK' and you should return to the 'Change E-mail Account' window. Click the 'Test Account Settings' to verify you are able to receive and send mail successfully.
You should see the results below; if you do not, verify your settings are correct. Click the 'Close' button.
Click 'Next' and then 'Finish' to complete the setup.
You are all set to send mail through us.
{% info %} Unfortunately, there is not an easy way to add SMTP API headers to a message in Outlook 2007. {% endinfo %}


{% extends 'layout/base_email.html' %} {% load i18n %} {% block title %}{{ title }}{% endblock %} {% block content %}
{% trans 'Company owner membership has been transfered to you by' %} {{ notification.created_by }}.


ADMM
30 Oct 2016Introduction
- Common characteristics of big data:
- large (billions of examples)
- high dimensional
- stored and/or collected in a distributed fashion
- need for rich, scalable algorithms
- a decomposition-coordination procedure: solutions to local subproblems are coordinated to find solution to global problem
Spiritual Predecessors
Dual ascent is gradient descent on the dual problem. For example, for an equality constrained optimization problem, the Lagrangian is
Then we set , (note that the second step is exactly gradient ascent on the dual variable ). Dual decomposition is the same thing for when can be decomposed into , where the are subvectors of . The dual ascent algorithm then consists of broadcast (broadcast iterate) and gather (gather iterates) steps.
Augmented Lagrangian methods add a term to the objective function of the original problem, which often times makes the objective “nicer” and never changes the optimal solution to the problem (if it is subject to ). The problem with augmented Lagrangian methods, however, is that they are not amenable to parallelization, even if the original is separable.
(Why shift to the dual perspective at all? Optimizing the Lagrangian leads to algorithms that naturally satisfy the equality constraints imposed upon us.)
ADMM
ADMM is structurally similar to the method of multipliers for the augmented Lagrangian. It is applied to problems with separable objective functions and separable constraints. For an optimization problem of the form
we form the augmented Lagrangian
and our updates are of the form
Note that the third step is exactly gradient ascent on the dual variable . There are other ways of writing the ADMM steps (e.g., there is a variant called scaled ADMM), but these other ways are equivalent to the formulation given above. With ADMM, we have the best of both worlds: we’ve got the distributed nature of dual decomposition, and we have the smoothness of the augmented Lagrangian.
Scaled ADMM
Let be the residual. Then we can write the Lagrangian as
The Lagrangian becomes
and the ADMM update steps become
where the scaled dual update is analogous to the original dual update, multiplied through by . Note that is the running sum of residuals .
Convex Feasibility
ADMM for finding a point in the intersection of two sets.
Say we are searching for any . If and are the indicator functions for and , respectively, then the ADMM formulation of the problem is
The ADMM update steps become
The interpretation of is an upper bound on .
In order to project onto , we can apply ADMM with
Then
Equivalently, noting that ,


Christians joining the mission of God in Searcy, AR. Join us in spreading the Kingdom of God to our neighborhood through relationships, tutoring, and community gardening.
Find Out MoreThe Maple House Community is a group of neighbors around S. Maple Street in Searcy, AR. We meet at the Maple House for games, worship, after-school tutoring, and gardening with the community.
Kids come for homework help and just to hang out.
Planting, tending, and harvesting together.
Meet together for worship and meals.
✏🎒👩🏾🏫🎓🏫🎉
The Maple House hosts after-school tutoring during the school year.
Your child can experience about the love of Jesus through
So we can get to know you and your child, please contact us or register your child in-person at the Maple House!
🌽🌶🥕🥒🍅🥔
Have you ever wanted your own plot of garden space? Have you ever wished for fresh tomatoes from the garden?
The Maple House Community Garden is open to all! We plant an assortment of vegetables each year, and anyone is welcome to tend and eat from the garden!
Lunch, Singing, Praying, and Learning from the Bible Together. 🙏
Dinner & Bible Stories for all ages. 📖
Tutoring
School year only
Tutoring
School year only
Maple House totally relies on donations to keep serving.
If you live in Searcy, AR, join us for a community event in the Maple Street neighborhood or visit a worship service on Sunday or Wednesday.


|
Elektra
0.9.5
|
Contract constructors for kdbOpen() More...
Functions | |
| int | elektraGOptsContract (KeySet *contract, int argc, const char *const *argv, const char *const *envp, const Key *parentKey, KeySet *goptsConfig) |
| Sets up a contract for use with kdbOpen() that configures the gopts plugin. More... | |
| int | elektraGOptsContractFromStrings (KeySet *contract, size_t argsSize, const char *args, size_t envSize, const char *env, const Key *parentKey, KeySet *goptsConfig) |
| Sets up a contract for use with kdbOpen() that configures the gopts plugin. More... | |
Contract constructors for kdbOpen()
| int elektraGOptsContract | ( | KeySet * | contract, |
| int | argc, | ||
| const char *const * | argv, | ||
| const char *const * | envp, | ||
| const Key * | parentKey, | ||
| KeySet * | goptsConfig | ||
| ) |
Sets up a contract for use with kdbOpen() that configures the gopts plugin.
You can pass 0 for argc
and NULL
for argv
to let gopts lookup command line options internally. You can also pass NULL
for envp
to do the same for environment variables.
| contract | The KeySet into which the contract will be written. |
| argc | The argc value that should be used by gopts. |
| argv | The argv value that should be used by gopts. IMPORTANT: The pointer and data behind must be valid until after kdbClose() is called. |
| envp | The envp value that should be used by gopts. IMPORTANT: The pointer and data behind must be valid until after kdbClose() is called. |
| parentKey | The parent key that should be used by gopts. Only the key name is copied. The key can be deleted immediately after calling this function. |
| goptsConfig | The config that used to mount the gopts plugin. This value can be NULL. Only keys in the user:/ namespace will be used. |
| -1 | if contract or parentKey is NULL |
| -1 | if argc is 0 and argv is not NULL or if argc is not 0 and argv is NULL |
| 0 | on success |
| int elektraGOptsContractFromStrings | ( | KeySet * | contract, |
| size_t | argsSize, | ||
| const char * | args, | ||
| size_t | envSize, | ||
| const char * | env, | ||
| const Key * | parentKey, | ||
| KeySet * | goptsConfig | ||
| ) |
Sets up a contract for use with kdbOpen() that configures the gopts plugin.
NOTE: prefer to use elektraGOptsContract() if possible
You can pass NULL
for args
to let gopts lookup command line options internally. You can also pass NULL
for env
to do the same for environment variables.
| contract | The KeySet into which the contract will be written. |
| argsSize | The size of the args data |
| args | Continuous buffer containing all argv arguments separated (and terminated) by zero bytes. The whole buffer is copied, so the pointer only has to be valid for this function call. |
| envSize | The size of the env data |
| env | Continuous buffer containing all environment variables separated (and terminated) by zero bytes The whole buffer is copied, so the pointer only has to be valid for this function call. |
| parentKey | The parent key that should be used by gopts. Only the key name is copied. The key can be deleted immediately after calling this function. |
| goptsConfig | The config that used to mount the gopts plugin. This value can be NULL. Only keys in the user:/ namespace will be used. |
| -1 | if any of contract or parentKey is NULL |
| 0 | on success |


---
layout: page
weight: 0
title: Invoice Retrieval
navigation:
show: true
---
Retrieve your invoice information.
{% anchor h2 %}
Retrieve Invoice Numbers
{% endanchor %}
Return an array of invoice numbers to your account.
| Parameter |
Required |
Description |
| start_date |
No |
Must be in YYYY-mm-dd format. This is the
start date to begin your invoice search from. |
| end_date |
No |
Must be in YYYY-mm-dd format and also include
a start_date in the API call. This is the end date you wish to end
your invoice search from. |
| status |
No |
Must be either paid, unpaid, refunded,
deferred, canceled. This is used to specify what kind of invoice you
would like returned. |
{% apiexample get POST https://api.sendgrid.com/api/billing.list api_user=your_sendgrid_username&api_key=your_sendgrid_password&status=pai %}
{% response json %}
[
{
"number": "2010010001"
},
{
"number": "2010010002"
}
]
{% endresponse %}
{% response xml %}
2010010001
2010010002
{% endresponse %}
{% endapiexample %}
{% anchor h2 %}
Retrieve Invoices
{% endanchor %}
Return an array of invoices.
| Parameter |
Required |
Description |
| start_date |
No |
Must be in YYYY-mm-dd format. This is the
start date to begin your invoice search from. |
| end_date |
No |
Must be in YYYY-mm-dd format and also include
a start_date in the API call. This is the end date you wish to end
your invoice search from. |
| status |
No |
Must be either paid, unpaid, refunded,
deferred, canceled. This is used to specify what kind of invoice you
would like returned. |
{% apiexample invoices POST https://api.sendgrid.com/api/billing.get api_user=your_sendgrid_username&api_key=your_sendgrid_password&status=pai %}
{% response json %}
{
"number": "2010010001",
"package": "Basic Package",
"credits": 10000000,
"date_invoiced": "2010-01-01 00:00:00",
"status": "Paid",
"amount": 100,
"additional_charges": 0,
"overage": 10,
"type": "Recurring Bill",
"prorated": 0,
"start_date": "2009-12-01",
"end_date": "2009-12-31",
"final_amount": 110
}
{% endresponse %}
{% response xml %}
2010010001
Basic Package
10000000
2010-01-01 00:00:00
Paid
100
0
10
Recurring Bill
0
2009-12-01
2009-12-31
110
{% endresponse %}
{% endapiexample %}


I'm a full-stack web developer
specializing in front-end
I have experience with
HTML / CSSJavascript (front-end, tooling)Back-endDatabases3rd-party APIsVersion controlProject managementTestingVarious
- Bootstrap
- Foundation
- SASS + Compass
- LESS
- PostCSS
- Jade (Pug)
- Handlebars
- BackboneJS
- AngularJS
- ReactJS
- jQuery / Zepto
- Underscore/Lo-Dash
- RequireJS
- Grunt
- ES2015
- Webpack
- Apache
- PHP
- NodeJS
- Slim (PHP)
- CodeIgniter (PHP)
- Express (Node)
- Sails (Node)
- Sphinx
- MySQL
- MS SQL
- MongoDB
- Facebook API
- Flickr
- Rdio
- SoundCloud
- hasOffers
- Cake API
- SalesForce
- SVN
- Git
- Redmine
- Jira
- Agile
- Trello
- Jasmine
- Mocha
- Chai
- Selenium / WebDriver
- A/B (VWO)
- Command line
- Amazon Web Services
Language / framework / tool agnostic. Choice of tools depends on the given job.
Web development is my passion. I enjoy translating user-centric design into web applications that users love while developing, testing and deploying production-quality code.


{% load staticfiles %} {% include 'hackathon/base.html' %}
The password reset link was invalid, possibly because it has already been used. Please request a new password reset.


Hibs manager favourites profiled as Paul Kane gives his verdict on the top candidates
The Hibs legend gives his thoughts on the men who could be king at Easter Road.
by Scott Burns, https://www.dailyrecord.co.uk/authors/scott-burns/Hibs have upped their search for a new head coach this week with Jack Ross and John Kennedy at the forefront of Easter Road thoughts.
A lot of big names from Pep Guardiola to Neil Lennon have had their say on the Hibs managerial search in recent days.
The legendary Manchester City boss rang Easter Road sporting director Graeme Mathie to recommend Spanish coach Raul Caneda Perez for the vacant position.
Celtic boss Neil Lennon also issued a firm hands-off message to his former club when they were linked with a move for his No. 2 John Kennedy.
So Record Sport has asked Hibs legend and life-long supporter Paul Kane to give his thoughts on some of the main runners and riders who are in the mix to succeed Paul Heckingbottom.
JACK ROSS
“Jack knows the Scottish game.
“He has played up here and managed St Mirren before he went down to Sunderland.
“Jack will know what you need to be successful up here and that is what we need.
“We can’t afford to appoint another Heckingbottom who comes up and misjudges the standard of the Scottish game.
“We don’t have time to do that again because we need to get this team up and running quickly so we can start pulling away from danger.
“Jack has come back up from Sunderland where it didn’t really work out the way he had hoped and he be looking to get back on track.”
NEIL WARNOCK
“For me, the way Neil Warnock’s teams play football would work against him.
“His football is pretty direct and defensive and he is not going to change his style football now he is coming to the end of his car
“Right or wrong, the Hibs fans demand their team play in a certain style and that comes from the 1960 and 70s.
“There is a demand to entertainment and that was shown when we won the Scottish Cup under Alan Stubbs or came back into the Premiership with Neil Lennon.
“We had good attacking teams that not only excited but were also successful!”
DANIEL STENDEL
“The suggestion is that they have already interviewed the former Barnsley manager, Stendel.

“You have to listen and talk to all the main candidates but the position we are in at the minute I think we need to go with someone who is experienced in the Scottish game.”
RAUL CANEDA PEREZ
“He doesn’t have any real experience of the British game.
“I know Pep Guardiola has put him forward but it would be too much of a step into the unknown for me.
“He might be an experienced coach but it is too much of a risk for me.”
JOHN KENNEDY
“John has been at Celtic for a lot of years as a player, coach and assistant manager.
“Does he always want to be classed as a No.2 or does he want to become his own man?
“Maybe he is at that stage just now. “He has had 10 years coaching and has a lot of experience.
“I would imagine that if he has an ambition to become a future Celtic manager then he will need to cut his teeth somewhere else to become that manager down the line.
“I don’t know John at all.
“I can only go with what other people say.
“I am friendly with Scott Brown and he can’t speak any more highly of him.
“I have never heard anyone say a bad word about John.
“We all saw the winning mentality that Neil Lennon brought to Hibs and I would think Kennedy will instil something similar if Hibs were able to get him.”
STATEMENT OF INTENT
“I had initially put my hat on John Hughes but he is not even getting an interview, so what do I know I about football!
“I would say that from all the guys that have been mentioned it is a two-horse race between John Kennedy and Jack Ross.
“I would probably edge towards Kennedy. “If you were able to get Kennedy away from Celtic I think that would show some ambition.
“It is also the first big appointment of the new owner and I am sure he will want to put his stamp on things.
“People outside and the Hibs fans will be looking for some statement of intent and if they could get Kennedy then I think that would make everybody sit up and take notice.
“Unless the board pull a rabbit out of the hat and make another appointment that has gone under the radar!”


The home of wonderful skin products like no other. Our products are specially made for your skin in mind with 100% organic materials so that your skin can radiate and glow with gracefulness and appear natural as it should be, with a long lasting effect.
Atrakion body spray is formulated with seasonal herbs and aromatic flowers, designed and concocted to last longer on your body while maintaining a substle but intelligent smell on your body, therefore shielding your from smell from perspiration and otherwise.
These are a range of products from medicated soap, ointment, creams and lotions formulated in our labouratory by world class experts in natural products. These products are fully tested and trusted by millions of people worldwide who use it on a daily basis.
This product is ready to be launched on the 4th of Feb 2020. It will be available in the market worldwide from March 2020 and should hit your local stores by the same month. Equeenox is the smoothness and comfort you've been waiting for.
This product is ready to be launched on the 4th of Feb 2020. It will be available in the market worldwide from March 2020 and should hit your local stores by the same month. BloomSpell is the dream cream, a wonderful feeling product made for you.
These are a range of products from medicated soap, ointment, creams and lotions formulated in our labouratory by world class experts in natural products. These products are fully tested and trusted by millions of people worldwide who use it on a daily basis.


This script enumerates all projects belonging to a specific view and clones them. This is very handy if you created a new branch and need to setup build automation for it. The script has ample opportunity for improvement, error checking, only a single save etc, but it took me a while to make this work and wanted to share the progress so far. So if you have improvements, feel free to add them :-)
This is what the script does in detail:
- enumerate all projects that belong to a view
- clone each project
- give it a new name
- disable the project
- update the custom workspace
Note: the script assumes that you have a custom workspace declared, which all our projects have. If you don't have that, just take out the part of the code.
import hudson.model.* def str_view = "MyProduct_Release_1.0" def str_search = "Rel_1.0" def str_replace = "Rel_1.1" def view = Hudson.instance.getView(str_view) //copy all projects of a view for(item in view.getItems()) { //create the new project name newName = item.getName().replace(str_search, str_replace) // copy the job, disable and save it def job = Hudson.instance.copy(item, newName) job.disabled = true job.save() // update the workspace to avoid having two projects point to the same location AbstractProject project = job def new_workspace = project.getCustomWorkspace().replace(str_search, str_replace) project.setCustomWorkspace(new_workspace) project.save() println(" $item.name copied as $newName") }


Welcome to the XAI docs - eXplainable machine learning¶
Welcome to the xai
documentation. Here you will the installation guide, the quick start guide, and the detailed docstrings code documentation of the xai library.
The documentation is currently under construction - for the meantime you can check out the main Github repository for the code (https://github.com/EthicalML/xai).
About¶
XAI is a Machine Learning library that is designed with AI explainability in its core. XAI contains various tools that enable for analysis and evaluation of data and models. The XAI library is maintained by The Institute for Ethical AI & ML, and it was developed based on the 8 principles for Responsible Machine Learning.
You can find the documentation at https://ethicalml.github.io/xai/index.html. You can also check out our talk at Tensorflow London where the idea was first conceived - the talk also contains an insight on the definitions and principles in this library.
0.0.4 - ALPHA Version¶
This library is currently in early stage developments and hence it will be quite unstable due to the fast updates. It is important to bare this in mind if using it in production.
What do we mean by eXplainable AI?¶
We see the challenge of explainability as more than just an algorithmic challenge, which requires a combination of data science best practices with domain-specific knowledge. The XAI library is designed to empower machine learning engineers and relevant domain experts to analyse the end-to-end solution and identify discrepancies that may result in sub-optimal performance relative to the objectives required. More broadly, the XAI library is designed using the 3-steps of explainable machine learning, which involve 1) data analysis, 2) model evaluation, and 3) production monitoring.
We provide a visual overview of these three steps mentioned above in this diagram:
XAI Quickstart¶
Installation¶
The XAI package is on PyPI. To install you can run:
pip install xai
Alternatively you can install from source by cloning the repo and running:
python setup.py install
Usage¶
You can find example usage in the examples folder.
1) Data Analysis¶
With XAI you can identify imbalances in the data. For this, we will load the census dataset from the XAI library.
import xai.data
df = xai.data.load_census()
df.head()
View class imbalances for protected columns¶
protected_cols = ["gender", "ethnicity", "age"]
ims = xai.show_imbalances(df, protected_cols)
View imbalance of one column¶
im = xai.show_imbalance(df, "gender")
View imbalance of one column intersected with another¶
im = xai.show_imbalance(df, "gender", cross=["loan"])
Balance the class using upsampling and/or downsampling¶
bal_df = xai.balance(df, "gender", cross=["loan"], upsample=1.0)
Create a balanced test-train split (should be done pre-balancing)¶
# Balanced train-test split with minimum 300 examples of
# the cross of the target y and the column gender
x_train, y_train, x_test, y_test = xai.balanced_train_test_split(
x, y, cross=["gender"],
categorical_cols=categorical_cols, min_per_class=300)
# Visualise the imbalances of gender and the target
df_test = x_test.copy()
df_test["loan"] = y_test
_= xai.show_imbalance(df_test, "gender", cross=["loan"], categorical_cols=categorical_cols)
2) Model Evaluation¶
We are able to also analyse the interaction between inference results and input features. For this, we will train a single layer deep learning model.
model = build_model(proc_df.drop("loan", axis=1))
model.fit(f_in(x_train), y_train, epochs=50, batch_size=512)
probabilities = model.predict(f_in(x_test))
predictions = list((probabilities >= 0.5).astype(int).T[0])
Visualise permutation feature importance¶
def get_avg(x, y):
return model.evaluate(f_in(x), y, verbose=0)[1]
imp = xai.feature_importance(x_test, y_test, get_avg)
imp.head()
Identify metric imbalances against all test data¶
_= xai.metrics_imbalance(
x_test,
y_test,
probabilities)
Identify metric imbalances grouped by protected columns¶
_= xai.metrics_imbalances(
x_test,
y_test,
probabilities,
columns=protected,
categorical_cols=categorical_cols)
Visualise the ROC curve against all test data¶
_= xai.roc_imbalance(
x_test,
y_test,
probabilities)
Visualise the ROC curves grouped by protected columns¶
_= xai.roc_imbalances(
x_test,
y_test,
probabilities,
columns=protected,
categorical_cols=categorical_cols)
Visualise the precision-recall curve by protected columns¶
_= xai.pr_imbalances(
x_test,
y_test,
probabilities,
columns=protected,
categorical_cols=categorical_cols)
Visualise accuracy grouped by probability buckets¶
d = xai.smile_imbalance(
y_test,
probabilities)
Visualise statistical metrics grouped by probability buckets¶
d = xai.smile_imbalance(
y_test,
probabilities,
display_breakdown=True)
Visualise benefits of adding manual review on probability thresholds¶
d = xai.smile_imbalance(
y_test,
probabilities,
bins=9,
threshold=0.75,
manual_review=0.375,
display_breakdown=False)
xai Python Docstrings¶
Submodules¶
xai.data module¶
-
xai.data.
load_census
(return_xy=False)¶ Load adult census dataset with column as “loan” instead of “target” to use during examples to “automate a loan approval process”.
- Example
from xai.data import load_census df = load_census()
- Parameters
return_xy (bool) – [default: False] pass True if you would like to return the data as X, y where X are the input columns and y is the target. If nothing (or False) is provided, the default return will be the full dataframe.
- Returns
Dataframe with full contents OR dataframe with inputs and array with targets.
- Return type
(pandas.DataFrame, Optional[numpy.array])
Module contents¶
-
xai.
balance
(df, *cross_cols, upsample=0.5, downsample=1, bins=6, categorical_cols=[], plot=True)¶ - Balances a dataframe based on the columns and cross columns provided.
The results can be upsampled or downsampled. By default, there is no downsample, and the upsample is towards a minimum of 50% of the frequency of the highest class.
- Example
- cat_df = xai.balance(
df, “gender”, “loan”, upsample=0.8, downsample=0.8)
- Parameters
df (pandas.DataFrame) – Pandas Dataframe containing data (inputs and target )
*cross_cols –
One or more positional arguments (passed as *args) that
are used to split the data into the cross product of their values :type cross_cols: List[str] :type upsample:
float
:param upsample: [Default: 0.5] Target upsample for columns lowerthan percentage.
- Parameters
downsample (float) – [Default: 1] Target downsample for columns higher than percentage.
bins (int) – [Default: 6] Number of bins to be used for numerical cols
categorical_cols (List[str]) – [Default: []] Columns within dataframe that are categorical. Columns that are not np.objects and are not part explicitly provided here will be treated as numeric, and bins will be used.
threshold (float) – [Default: 0.5] Threshold to display in the chart.
- Returns
Dataframe with categorical numerical values.
- Return type
pandas.DataFrame
-
xai.
balanced_train_test_split
(x, y, *cross_cols, categorical_cols=[], min_per_group=20, max_per_group=None, fallback_type='upsample', bins=6, random_state=None)¶ Splits the “x” DataFrame and “y” Array into train/test split training sets with a balanced number of examples for each of the categories of the columns provided. For example, if the columns provided are “gender” and “loan”, the resulting splits would contain an equal number of examples for Male with Loan Approved, Male with Loan Rejected, Female with Loan Approved, and Female with Loan Rejected. The “fallback_type” parameter provides the behaviour that is triggered if there are not enough datapoint examples for one of the subcategory groups - the default is “half”
Example
x: pd.DataFrame # Contains the input features y: np.array # Contains the labels for the data categorical_cols: List[str] # Name of columns that are categorical x_train, y_train, x_test, y_test, train_idx, test_idx = \ xai.balanced_train_test_split( x, y, balance_on=["gender"], categorical_cols=categorical_cols, min_per_group=300, fallback_type="half")
- Parameters
x (
DataFrame
) – Pandas dataframe containing all the features in datasety (
Union
[ndarray
,list
]) – Array containing “actual” labels for the dataset*cross_cols – One or more positional arguments (passed as *args) that are used to split the data into the cross product of their values
categorical_cols (
List
[str
]) – [Default: []] Columns within dataframe that are categorical. Columns that are not np.objects and are not part explicitly provided here will be treated as numeric, and bins will be used.min_per_group (
int
) – [Default: 20] This is the number of examples for each of the groups createdmax_per_group (
Optional
[int
]) – [Default: None] This is the maximum number of examples for each group to be provided with.fallback_type (
str
) –[Default: upsample] This is the fallback mechanism for when one of the groups contains less elements than the number provided through min_per_group. The options are “upsample”, “ignore” and “error”.
”upsample”: This will get samples with replacement so will repeat elements
”ignore”: Will just ignore and return all the elements available
”error”: Throw an exception for any groups with less elements
bins (
int
) – [Default: 6] Number of bins to be used for numerical colsrandom_state (
Optional
[int
]) – [Default: None] Random seed for the internal sampling
- Return type
Tuple
[DataFrame
,ndarray
,DataFrame
,ndarray
,ndarray
,ndarray
]- Returns
x_train (pd.DataFrame) – DataFrame containing traning datapoints
y_train (np.ndarray) – Array containing labels for training datapoints
x_test (pd.DataFrame) – DataFrame containing test datapoints
y_test (np.ndarray) – Array containing labels for test datapoints
train_idx (np.ndarray) – Boolean array with True on Training indexes
test_idx (np.ndarray) – Boolean array with True on Testing indexes
-
xai.
confusion_matrix_plot
(y_test, pred, scaled=True, label_x_neg='PREDICTED NEGATIVE', label_x_pos='PREDICTED POSITIVE', label_y_neg='ACTUAL NEGATIVE', label_y_pos='ACTUAL POSITIVE')¶ Plots a confusion matrix for a binary classifier with the expected and predicted values provided.
- Example
- xai.confusion_matrix_plot(
actual_labels, predicted_labels, scaled=True)
- Parameters
y_test (Union[np.array, list]) – Array containing binary “actual” labels for data
pred (Union[np.array, list]) – Array containing binary “predictedd” labels for data
scaled – [Default: True] Whether the values are scaled to 0-1 or
displayed as total number of instances :type scaled: bool :param label_x_neg: [Default: “PREDICTED NEGATIVE”] Plot label for the predicted negative values :type label_x_neg: str :param label_x_pos: [Default: “PREDICTED POSITIVE”] Plot label for the predicted positive values :type label_x_pos: str :param label_y_neg: [Default: “ACTUAL NEGATIVE”] Plot label for the actual negative values :type label_y_neg: str :param label_y_pos: [Default: “ACTUAL POSITIVE”] Plot label for the actual positive values :type label_y_pos: str :returns: Null :rtype: None
-
xai.
convert_categories
(df, categorical_cols=[])¶ - Converts columns to numeric categories. If the categorical_cols
parameter is passed as a list then those columns are converted. Otherwise, all np.object columns are converted.
- Example
import xai cat_df = xai.convert_categories(df)
- Parameters
df (pandas.DataFrame) – Pandas Dataframe containing data (inputs and target)
categorical_cols (str) – List of strings containing categorical cols
- Returns
Dataframe with categorical numerical values.
- Return type
pandas.DataFrame
-
xai.
convert_probs
(probs, threshold=0.5)¶ Converts all the probabilities in the array provided into binary labels as per the threshold provided which is 0.5 by default.
Example
probs = np.array([0.1, 0.2, 0.7, 0.8, 0.6]) labels = xai.convert_probs(probs, threshold=0.65) print(labels) > [0, 0, 1, 1, 0]
- Parameters
probs (
ndarray
) – Numpy array or list containing a list of floats between 0 and 1threshold (
float
) – Float that provides the threshold for which probabilities over the threshold will be converted to 1
- Returns
Numpy array containing the labels based on threshold provided
- Return type
np.ndarray
-
xai.
correlations
(df, include_categorical=False, plot_type='dendogram', plt_kwargs={}, categorical_cols=[])¶ Computes the correlations for the columns provided and plots the relevant image as requested by the parameters.
- Example
- cat_df = xai.balance(
df, “gender”, “loan”, upsample=0.8, downsample=0.8)
- Parameters
df (pandas.DataFrame) – Pandas Dataframe containing data (inputs and target )
*cross_cols –
One or more positional arguments (passed as *args) that
are used to split the data into the cross product of their values :type cross_cols: List[str] :param upsample: [Default: 0.5] Target upsample for columns lower
than percentage.
- Parameters
downsample (float) – [Default: 1] Target downsample for columns higher than percentage.
bins (int) – [Default: 6] Number of bins to be used for numerical cols
categorical_cols (List[str]) – [Default: []] Columns within dataframe that are categorical. Columns that are not np.objects and are not part explicitly provided here will be treated as numeric, and bins will be used.
threshold (float) – [Default: 0.5] Threshold to display in the chart.
- Returns
Returns a dataframe containing the correlation values for the features
- Return type
pandas.DataFrame
-
xai.
evaluation_metrics
(y_valid, y_pred)¶ Calculates model performance metrics (accuracy, precision, recall, etc) from the actual and predicted lables provided.
Example
y_actual: np.ndarray y_predicted: np.ndarray metrics = xai.evaluation_metrics(y_actual, y_predicted) for k,v in metrics.items(): print(f"{k}: {v}") > precision: 0.8, > recall: 0.9, > specificity: 0.7, > accuracy: 0.8, > auc: 0.7, > f1: 0.8
- Parameters
y_valid – Numpy array with the actual labels for the datapoints
y_pred – Numpy array with the predicted labels for the datapoints
- Returns
Dictionary containing the metrics as follows:
return { "precision": precision, "recall": recall, "specificity": specificity, "accuracy": accuracy, "auc": auc, "f1": f1 }
- Return type
Dict[str, float]
-
xai.
feature_importance
(x, y, func, repeat=10, plot=True)¶
-
xai.
group_by_columns
(df, columns, bins=6, categorical_cols=[])¶ - Groups dataframe by the categories (or bucketized values) for all columns provided.
If categorical it uses categories, if numeric, it uses bins. If more than one column is provided, the columns provided are, for example, age and binary_target_label, then the result would be a pandas DataFrame that is grouped by age groups for each of the positive and negative/positive labels.
- Example
columns=[“loan”, “gender”] df_groups = xai.group_by_columns(
df, columns=columns, bins=10, categorical_cols=[“gender”, “loan”])
- for group, df_group in df_groups:
print(group) print(grouped_df.head())
- Parameters
df (pandas.DataFrame) – Pandas Dataframe containing data (inputs and target)
bins (int) – [Default: 6] Number of bins to be used for numerical cols
categorical_cols (List[str]) – [Default: []] Columns within dataframe that are categorical. Columns that are not np.objects or np.bool and are not part explicitly provided here will be treated as numeric, and bins will be used.
- Returns
Dataframe with categorical numerical values.
- Return type
pandas.core.groupby.groupby.DataFrameGroupBy
-
xai.
imbalance_plot
(df, *cross_cols, categorical_cols=[], bins=6, threshold=0.5)¶ - Shows the number of examples provided for each of the values across the
product tuples in the columns provided. If you would like to do processing with the sub-groups created by this class please see the group_by_columns function.
- Example
import xai class_counts = xai.imbalance_plot(
df, “gender”, “loan”, bins=10, threshold=0.8)
- Parameters
df (pandas.DataFrame) – Pandas Dataframe containing data (inputs and target)
*cross_cols –
One or more positional arguments (passed as *args) that are used to split the data into the cross product of their values
categorical_cols (List[str]) – [Default: []] Columns within dataframe that are categorical. Columns that are not np.objects and are not part explicitly provided here will be treated as numeric, and bins will be used.
bins (int) – [Default: 6] Number of bins to be used for numerical cols
threshold (float) – [Default: 0.5] Threshold to display in the chart.
- Returns
Null
- Return type
None
-
xai.
metrics_plot
(target, predicted, df=Empty DataFrame Columns: [] Index: [], cross_cols=[], categorical_cols=[], bins=6, plot=True, exclude_metrics=[], plot_threshold=0.5)¶ Creates a plot that displays statistical metrics including precision, recall, accuracy, auc, f1 and specificity for each of the groups created for the columns provided by cross_cols. For example, if the columns passed are “gender” and “age”, the resulting plot will show the statistical metrics for Male and Female for each binned group.
Example
target: np.ndarray predicted: np.ndarray df_metrics = xai.metrics_plot( target, predicted, df=df_data, cross_cols=["gender", "age"], bins=3
- Parameters
target (
ndarray
) – Numpy array containing the target labels for the datapointspredicted (
ndarray
) – Numpy array containing the predicted labels for the datapointsdf (
DataFrame
) – Pandas dataframe containing all the features for the datapoints. It can be empty if only looking to calculate global metrics, but if you would like to compute for categories across columns, the columns you are grouping by need to be providedcross_cols (
List
[str
]) – Contains the columns that you would like to use to cross the valuesbins (
int
) – [Default: 6] The number of bins in which you’d like numerical columns to be splitplot (
bool
) – [Default: True] If True a plot will be drawn with the resultsexclude_metrics (
List
[str
]) – These are the metrics that you can choose to exclude if you only want specific ones (for example, excluding “f1”, “specificity”, etc)plot_threshold (
float
) – The percentage that will be used to draw the threshold line in the plot which would provide guidance on what is the ideal metrics to achieve.
- Returns
Pandas Dataframe containing all the metrics for the groups provided
- Return type
pd.DataFrame
-
xai.
normalize_numeric
(df, numerical_cols=[])¶ - Normalizes numeric columns by substracting the mean and dividing
by standard deviation. If the parameter numerical_cols is not provided, it will take all the columns of dtype np.number.
- Example
- norm_df = xai.normalize_numeric(
df, normalize_numeric=[“age”, “other_numeric_attribute”])
- Parameters
df (pd.DataFrame) – Pandas Dataframe containing data (inputs and target)
numerical_cols (
List
[str
]) – List of strings containing numercial cols
- Returns
Dataframe with normalized numerical values.
- Return type
pandas.DataFrame
-
xai.
pr_plot
(target, predicted, df=Empty DataFrame Columns: [] Index: [], cross_cols=[], categorical_cols=[], bins=6, plot=True)¶
-
xai.
roc_plot
(target, predicted, df=Empty DataFrame Columns: [] Index: [], cross_cols=[], categorical_cols=[], bins=6, plot=True)¶
-
xai.
smile_imbalance
(y_test, probs, threshold=0.5, manual_review=None, display_breakdown=False, bins=10)¶


To run the OCSF tester, you must first install ocsf, and make sure ocsf is in your classpath (or is a subdirectory of ocsftester).
Then you must compile the six .java files.
To execute the code, first go to the directory that is the parent directory to ocsftester.
To run the tester you must first start a server. You can either start a manually controlled server: "java ocsftester/ServerFrame", or a server that will periodically and automatically change state in order to exercise the various features of OCSF: "java ocsftester/ServerDriver".
Next you must start one or more clients. You can start an individual client using: "java ocsftester/ClientFrame". Or you can start a test driver that will automatically start clients, kill them, send messages etc.: "java ocsftester/ClientsFrame".
To learn how this code works, consult the book "Object-Oriented Software Engineering: Practical Software Development using UML and Java" by Lethbridge and Laganière.


Ayurveda means “The Science of Life.” Panchakarma in Ayurved is not only for detoxifying the body, but also for rejuvenation — strengthening the immune system, and restoring balance and well-being. It is one of the most effective healing modalities in Ayurvedic Medicine.
Leech therapy helps remove deoxygenated blood and toxins from the target area. This sends fresh oxygenated blood and nutrition to the area. Which in turn triggers natural healing. There are no artifical chemicals involved. Process is safe and in practice since hudreds of years.
Only a litte. Kids below 10 years have easily sustained leech therapy in my clinic. The saliva in leeches is rich with enzymes that can prevent coagulation of blood which leads to blood clots. Once these enzymes have dissolved the blood clots and restored a normal flow of blood into the uterus, toxins are flushed away.
I was suffering from headache and occasional migrane due to stress in life. I consulted with Dr. Rathod. He isi very friendly and listened to my queries. Two sittings of Lecch therapy reduced the migrane to zero.
Sagar Ram
I had vericose vains in my right leg. With helps of Leech therapy I found positive results. I had preiously spend more than 50k on various treatments before coming to Dr. Prashat Rathod. I highly recommend Dr. Rathods clinic.
Varsha Patil
Morbi velit mauris, hendrerit in convallis vel, laoreet et orci. Integer semper, est vel congue suscipit, nisl nibh convallis lorem, sit amet faucibus purus lacus eu nulla. Sed nec blandit ante, sed semper tellus.
Francis Deo
We are specialised in ancient Ayurvedic Treatments... Specially The Leech Therapy (Jalauka awcharanam).. Panchakarma, medi-spa and much more.
This is India's No1 Leech Therapy Clinic.. Many unbelievelable results comming out in challing cases.. With Ayurveda and The Leech Therapy..
Come and experience.. Consultation and Naadi chikitsa is worth Rs 1000/- But we have kept it for free to explore Ayurveda to the root level and all class of society shall be benifitted..
1. Avoiding Surgery
2. Avoiding Steroids &
3. Avoiding Painkillers
This is the Motto of Dr Rathod's Ayurveda.
Feel free to spaek to share your health issues we shall help you to get it cured vigoursly with Ayurvedic Remidies.. & Leech Therapy.
Dr Rathod's Ayurveda
8/ Prachi Sai Shraddha Apartment,
Opp Suraj Water Park,
Waghbil naka,
Ghodbandar Road,
Thane (west) , Mumbai.
Maharashtra, India.


On this screen you can set what events to watch and how to filter the events being watched so that you are only notified about what really interests you.
Make sure to add items one by one, e.g. every account name is a separate item that you add by clicking Add.
DO NOT USE @ WHEN SPECIFYING AN ACCOUNT NAME!