Company profile - Canadian Company Capabilities
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Some of the information on this Web page has been provided by external sources. The Government of Canada is not responsible for the accuracy, reliability or currency of the information supplied by external sources. Users wishing to rely upon this information should consult directly with the source of the information. Content provided by external sources is not subject to official languages, privacy and accessibility requirements.
Skyservice Business Aviation
Legal/Operating Name:
Skyservice Business Aviation
Mailing Address:
PO Box 160Toronto AMF
MISSISSAUGA, Ontario
L5P 1B1
Location Address:
6120 Midfield RdMISSISSAUGA, Ontario
L5P 1B1
Tel.:<PHONE_NUMBER>
Tel.:<PHONE_NUMBER>
Fax:<PHONE_NUMBER>
Logo
Company Profile
Skyservice delivers a full range of business aviation services from its modern facilities in Montreal, Calgary and Toronto.
Whether you fly for business or pleasure, to a neighbouring city or half a world away, Skyservice has the personnel, equipment, expertise and award-winning Fixed Base Operation facilities to fulfill your needs both in the air and on the ground.
Safety, security, privacy, comfort, flexibility and increased productivity are only some of the benefits you will enjoy when you become acquainted with Skyservice Business Aviation Services.
Ensuring your experience is flawless inspires our people every day, whether they work in Charter Services, Fixed Base Operations (FBOs), Aircraft Maintenance, or Aircraft Management. From the simplest of requirements to the most complex, Skyservice Business Aviation provides the right solution every time - to meet your individual needs.
Full profile
Full profile
Contact information
Company description
481110 - Scheduled Air Transportation
481214 - Non-Scheduled Chartered Air Transportation
488119 - Other Airport Operations
Product / Service / Licensing
Whether you fly for business or pleasure, to a neighbouring city or half a world away, Skyservice has the personnel, equipment, expertise and award-winning Fixed Base Operation facilities to fulfill your needs both in the air and on the ground.
Safety, security, privacy, comfort, flexibility and increased productivity are only some of the benefits you will enjoy when you become acquainted with Skyservice Business Aviation Services.
Ensuring your experience is flawless inspires our people every day, whether they work in Charter Services, Fixed Base Operations (FBOs), Aircraft Maintenance, or Aircraft Management. From the simplest of requirements to the most complex, Skyservice Business Aviation provides the right solution every time - to meet your individual needs.
Montreal
Toronto
Calgary
For seven years in a row, Toronto, Montreal and Calgary FBOs have been voted the most popular in Canada by Professional Pilot magazine. Skyservice Business Aviation has also been voted one of the top FBOs in North America by Aviation International News.
So why is Skyservice Business Aviation considered among the best in the business?
Clean, contemporary environment
First-class passenger and pilot amenities
Fitness facilities (Toronto)
Ample, convenient hangar space
Fuel 24 hours a day, 7 days a week
And premier maintenance capabilities
Of course, you can also expect friendly and efficient line crew and customer service representatives who pride themselves on offering the highest level of service, regardless of the request.
Expect only the very best. Skyservice Business Aviation - recognized as Canadas number one Fixed Base Operation.
At Skyservice Business Aviation, we keep things simple. You never have to worry about missed connections, lost baggage, overbooking, or airport security. As our client, enjoy our VIP service while you wait in our first class FBO. Youll then be escorted to your chartered aircraft and be on your way in no time.
Greater Flexibility
Skyservice Business Aviation is your answer to your urgent and immediate travel needs. Our charter services are available 24 hours a day, 7 days a week. We guarantee your trip will be arranged within 2 hours from the time you confirm.
 Skyservice Business Aviation has the experience to take you anywhere in the world - the Americas, Europe, Africa, Asia, and the Middle East.
Change your itinerary instantly and all it takes is one phone call to arrange the catering you want on the aircraft, your car rentals, and your hotels.
Highest Level of Safety
Skyservice Business Aviation is one of the only charter companies in Canada to be ranked the highest safety rating, ARG/US Platinum. According to ARG/US, a Platinum rating is awarded to an operator who has demonstrated the implementation of industry best practices including a Safety Management System, a workable Emergency Response Plan, and appropriate written standards, training, and adequate historical records for all major aspects of Operations and Maintenance within the company. (copied from ARG/US website)
Uncompromising personalized service. Unparalleled safety and security. These truly are the pillars upon which Skyservice Business Aviation was built and its why our clients return. We look forward to serving you soon.
Skyservice Business Aviation offers a full complement of aircraft management whether youre a corporate client or a private one. You can count on complete operational support and specific support services for a single airplane or an entire fleet just as you might expect from Skyservice Business Aviation, Canadas largest Aircraft Management service provider with a wide range of aircraft under management.
Of course, flexible programs are available and always delivered with the Skyservice Business Aviation guarantee of efficiency, security and above all, confidentiality.
Our complete turnkey or tailored packages to suit your every need include:
Regulatory oversight
Staffing
Aircraft Maintenance
Flight co-ordination
Security
Fueling
Grooming
Catering
Aircraft Management Services
Aircraft Insurance Coverage
Aircraft Hangarage
Flight Operations
Flight Crew Training
Dispatch & Reservation Services
Invoice Management
Aircraft Maintenance including management of the various engine and fuselage programs
Maintenance Planning
Technical Services
Aircraft Pre-Purchase Inspection
Through our affiliation with Imperial Oil, Skyservice has been providing aircraft owners with an outstanding level of service that includes state of the art facilities, complete range of professional support services, competitive prices and full accounting transparency. Skyservice has also focused on employing quality team-oriented personnel, by training them to the highest standards and empowering them to take responsibilities and proactively finding solutions. In short, we have succeeded in becoming the aircraft management company of choice for many of Canadas leading corporations by providing the highest quality / price ratio in the industry.
With maintenance facilities in Montreal, Toronto and Calgary, efficiency, safety and security are at the basis of all aircraft-related activities. Skyservice has created various quality control systems such as the Safety Management System well in advance of Transport Canada's mandatory requirements. We are confident that you will appreciate the value-added approach we are offering and sincerely hope to have the pleasure of counting you amongst the Skyservice family of clients.
We encourage you to try the Skyservice experience for your next inspection, repair or modification on your business or regional aircraft.
Third-Party Information Liability Disclaimer
Some of the information on this Web page has been provided by external sources. The Government of Canada is not responsible for the accuracy, reliability or currency of the information supplied by external sources. Users wishing to rely upon this information should consult directly with the source of the information. Content provided by external sources is not subject to official languages, privacy and accessibility requirements.
Contacts
Contact information
Description
Company description
481110 - Scheduled Air Transportation
481214 - Non-Scheduled Chartered Air Transportation
488119 - Other Airport Operations
Products, services and licensing
Product / Service / Licensing
Whether you fly for business or pleasure, to a neighbouring city or half a world away, Skyservice has the personnel, equipment, expertise and award-winning Fixed Base Operation facilities to fulfill your needs both in the air and on the ground.
Safety, security, privacy, comfort, flexibility and increased productivity are only some of the benefits you will enjoy when you become acquainted with Skyservice Business Aviation Services.
Ensuring your experience is flawless inspires our people every day, whether they work in Charter Services, Fixed Base Operations (FBOs), Aircraft Maintenance, or Aircraft Management. From the simplest of requirements to the most complex, Skyservice Business Aviation provides the right solution every time - to meet your individual needs.
Montreal
Toronto
Calgary
For seven years in a row, Toronto, Montreal and Calgary FBOs have been voted the most popular in Canada by Professional Pilot magazine. Skyservice Business Aviation has also been voted one of the top FBOs in North America by Aviation International News.
So why is Skyservice Business Aviation considered among the best in the business?
Clean, contemporary environment
First-class passenger and pilot amenities
Fitness facilities (Toronto)
Ample, convenient hangar space
Fuel 24 hours a day, 7 days a week
And premier maintenance capabilities
Of course, you can also expect friendly and efficient line crew and customer service representatives who pride themselves on offering the highest level of service, regardless of the request.
Expect only the very best. Skyservice Business Aviation - recognized as Canadas number one Fixed Base Operation.
At Skyservice Business Aviation, we keep things simple. You never have to worry about missed connections, lost baggage, overbooking, or airport security. As our client, enjoy our VIP service while you wait in our first class FBO. Youll then be escorted to your chartered aircraft and be on your way in no time.
Greater Flexibility
Skyservice Business Aviation is your answer to your urgent and immediate travel needs. Our charter services are available 24 hours a day, 7 days a week. We guarantee your trip will be arranged within 2 hours from the time you confirm.
 Skyservice Business Aviation has the experience to take you anywhere in the world - the Americas, Europe, Africa, Asia, and the Middle East.
Change your itinerary instantly and all it takes is one phone call to arrange the catering you want on the aircraft, your car rentals, and your hotels.
Highest Level of Safety
Skyservice Business Aviation is one of the only charter companies in Canada to be ranked the highest safety rating, ARG/US Platinum. According to ARG/US, a Platinum rating is awarded to an operator who has demonstrated the implementation of industry best practices including a Safety Management System, a workable Emergency Response Plan, and appropriate written standards, training, and adequate historical records for all major aspects of Operations and Maintenance within the company. (copied from ARG/US website)
Uncompromising personalized service. Unparalleled safety and security. These truly are the pillars upon which Skyservice Business Aviation was built and its why our clients return. We look forward to serving you soon.
Skyservice Business Aviation offers a full complement of aircraft management whether youre a corporate client or a private one. You can count on complete operational support and specific support services for a single airplane or an entire fleet just as you might expect from Skyservice Business Aviation, Canadas largest Aircraft Management service provider with a wide range of aircraft under management.
Of course, flexible programs are available and always delivered with the Skyservice Business Aviation guarantee of efficiency, security and above all, confidentiality.
Our complete turnkey or tailored packages to suit your every need include:
Regulatory oversight
Staffing
Aircraft Maintenance
Flight co-ordination
Security
Fueling
Grooming
Catering
Aircraft Management Services
Aircraft Insurance Coverage
Aircraft Hangarage
Flight Operations
Flight Crew Training
Dispatch & Reservation Services
Invoice Management
Aircraft Maintenance including management of the various engine and fuselage programs
Maintenance Planning
Technical Services
Aircraft Pre-Purchase Inspection
Through our affiliation with Imperial Oil, Skyservice has been providing aircraft owners with an outstanding level of service that includes state of the art facilities, complete range of professional support services, competitive prices and full accounting transparency. Skyservice has also focused on employing quality team-oriented personnel, by training them to the highest standards and empowering them to take responsibilities and proactively finding solutions. In short, we have succeeded in becoming the aircraft management company of choice for many of Canadas leading corporations by providing the highest quality / price ratio in the industry.
With maintenance facilities in Montreal, Toronto and Calgary, efficiency, safety and security are at the basis of all aircraft-related activities. Skyservice has created various quality control systems such as the Safety Management System well in advance of Transport Canada's mandatory requirements. We are confident that you will appreciate the value-added approach we are offering and sincerely hope to have the pleasure of counting you amongst the Skyservice family of clients.
We encourage you to try the Skyservice experience for your next inspection, repair or modification on your business or regional aircraft.


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This grid is using only CSS Grid Layout and is using sass mixins to prefix the -ms- flags. It will look the same in all major browsers including IE11 and Edge.


My name is Vicki and this is my story.
Find Out MoreHi there and welcome from Sydney. My name is Vicki Zhong and this website is a bit of a summer project of mine.
I am currently an engineering student at the University of New South Wales. But apart from getting my head around all my lecture material, I also love to go for walks and to visit places around Sydney (esp. cafes because who doesn't love food). Check out some of my photos of the state library, Sydney Harbour from Mrs Macquarie's Chair, food, and heaps more snaps I have taken here and there.
I love to learn about Asian cultures. I am a true believer that we should never stop learning.
I just have this natural draw to the little slices of information I can learn about the past and take special interest in Chinese history. I love to try Asian food, watch Chinese television series, read classical texts and understand important figures. At the end of 2016, I had the opportunity to spend three months at Tsinghua University in Beijing as part of a research exchange program and finally got to visit the Forbidden City and Great Wall and experience so much. I also took a little trip to Xi'an, the ancient capital city and enjoyed that a lot as well.
I love computers, especially information systems and databases. I've been working on my web development skills but have to admit that when it comes to the digital arena, I am absolutely hopeless with games.
Education
I am a student at the University of New South Wales (UNSW) undertaking a Bachelor of Engineering (Materials Engineering )/ Masters of Biomedical Engineering combined degree.
I enjoyed small success whilst at Sydney Girls High School, where I graduated with an ATAR of 99.65. I am proud to call myself a Sydney High 'Old Girl' and have so many beautiful memories of the six years there. I then decided that I was more suited to the technically-oriented career paths so I endeavoured on my journey through an engineering degree. With a small scholarship, some online searching and heavy convincing from a PhD student, I found myself in a Materialx Engineering prgram. I have always had a passion for the health and disease area so I picked a combined degree that allowed me to be enrolled in biomedical engineering as well.
So far I have had courses spanning areas of Engineering Mechanics, Microscopy and Materials Characterisation, Thermodynamics, Fluid Flow and Heat Transfer, Phase Equilibria, Polymers, Ceramic Processing, just to name a few. On the biomedical engineering side, I have taken courses on Engineering in Medicine, Clinical Laboratory Science, Clinical Information Systems, Physiology and will go into biomechanics, imaging and more in the upcoming year.
This paragraph probably doesn't make much sense to people outside of the degree but the bottom line is
I am learning lots and enjoying it.
I am going into my thesis year in 2018. My project will be on computational modelling of Cochlear implants — I am quite excited to be working on biomedical technologies. I also intend on doing a Masters project in biomedical engineering the year after.
For a twenty year old, I have tried quite a few things! I'll take you through what it was like to be a McDonald's Crew Trainer to my research experiences at UNSW and abroad.
ViewI am most proud of my Dean's List awards and my perfect scores, but more so about enrolling myself in the harder course streams. I really like to push myself to new heights.
ViewFrom languages to the sciences, I pride myself in being an all-rounder.
HTML, CSS, JavaScript, PHP are amongst some of my front-end web skills. I also have working knowledge in MATLAB, MS VBA, and specialised software like Prism, Origin & ANSYS.
Besides university studies, I am involved with societies and research.
I am part of the UNSW Engineering Society as their Director of Projects in the Information Technology team. I am also a tutor/mentor. I help in research in ferroelectric thin films and currently work on Metal Organic Frameworks.
Send me an email


Read an SGF game with unequal sides, a comment and initially added stones from the text in the top 'input' box. Show the game on a board (note that no IP[] was given, so a default was used.) Display a reformatted SGF representation of the game in the bottom 'output' box.
Input:
(;AP[Some Hex App]SZ[7:4]FF[4]GM[11] AB[f1][f2][f3][f4]AW[g1][g2][g3][g4] ;B[c3] ;W[b4]C[a comment with \[brackets\]!] (; B[a1]) (;B[a2] ;W[a3]) )
The Hex board:
The output is:


Comments
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If yes, put check on checkbox.
1.) Do you like your smile? If no, why not?
2.) Do your gums bleed when you brush?
3.) Have you ever had experienced tooth extraction?
4.) Have you bled too much after tooth extraction?
5.) Have you ever had orthodomic treatment?
6.) Are your teeth sensitive to cold, hot, sweets and pressure?
7.) Have you had any periodental (gum) problems?
8.) Do your gums bleed?
9.) Do you wear any denture? If yes, what type of denture?
10.) Do you experience jaw pain? If yes, when?
11.) Does food catch in your teeth? If yes, where?
Last update: {{ dateTimeAdded }}


Graph is the collection of distinct verticesand distinct edge.
A graph is said to be connected if every pair of vertices have the path between each of them.
• The new vertex s is added in the graph G to find the minimum path between.
• The vertex of graph represents the individual object.
• A vertex v said to be adjacent to another vertex S if the graph contain an edge
Therefore, the purpose of adding the new vertex s to V that yields V’ is to find the all pairs shortest path.
Consider a graph V. A new vertex s is added to graph V. After adding the vertex, the new set of edges is V’.
• In the graph, the vertices are represented with label and edge is represented by line between the vertices.
• A path in a graph represents a way from source to destination by traversing the edge.
The new vertex s is addition helps to find the all pairs shortest path of the graph .
Weight with Non-Negative Edge
In order to understand relationship between w and, it is necessary to understand Johnson’s algorithm. Johnson algorithm uses concept of Dijkstra’s and Bellman-Ford algorithm for finding the shortest path for all set of vertices. This algorithm works on the methods of reweighting, if the graph has negative weight cycle.
Methods of reweighting are as follows:
1. Dijkstra’s algorithm is used for finding the shortest path, if weight of all the edges in the graph is non-negative. For each vertex Fibonacci heap priority queue is used for finding the shortest path.
2. Bellman-Ford algorithm is used for finding the shortest path, if weight of any edge in the graph is negative. Calculate new non negative edges from the set of negative weights by using the weight function. For each vertex Fibonacci heap priority queue is used for finding the shortest path.
Difference between w and :
1. For all the set of vertices weight function can-be derived from the weight function w by using reweighting method. Reweighting method is applied on the graph G, if and only if graph contains negative weight cycle.
So, weight function w cannot be derived from weight function.
2. Weight function w can be positive as well as negative but is always positive.
Here, weight function is shortest path from initial vertex u to final vertex v.
Relationship between w and :
Weight function can be derived from weight function w:
d is used for representing weight of the shortest path which is calculated from weight function w. d’ is used for representing weight of the shortest path which is calculated from weight function.
After that, show the newly derived weight which is derived from negative weight cycles is non-negative. According to the lemma,
A weighted directed graph G (V, E) is given such that
w:E?R and
h:V?RFor every edge which is connected between vertex u and vertex v define new weight function such as:
1. Assume that p is any shortest path from the vertex v0 to the vertex vk where weight function is w if and only if p is also the shortest path where weight function is .
2. if only
3. Assume that a graph G contains a negative weight cycle from weight function w only when the G also contains negative weight cycle from weight function
Proving the first condition of the Lemma:
Show that, a path p from the vertex to vertex has
… … (1)
Now,
Proving the third condition of the Lemma:
Assume a cycle c which contains set of vertices from initial vertex to final vertex , where the last vertex is equal to the first vertex .
Now, weight function is as shown:
… … (2)
It is known that
So, from equation (2),
Hence, all the conditions of the Lemma have been proved.
Weight function is always positive:
Assume a directed weighted graph G = (V, E) such that weight function w: ER.
Now, create a new graph G`= (V’, E’), where a new vertex x which does not belong to previous set of vertices V.
Now new set of vertices V’ and edges E’ are denoted as:
Forfor all vertices v which are belonging to the previous set of vertices V, extend weight function.
From the third condition which had been proved earlier that G’ contains no cycle of negative weight, but the condition is that G should also not contain negative weight cycle.
Now assume that the Graph G and G’ contains no cycle of negative weight
By using property of triangle inequality (sum of any two side of the triangle is greater than or equals to the third side)
… … (3)
By using the using equation (3) prove is always greater than or equal to the final vertex.
Thus, is always greater than or equal to the h(v). So, the weight function is always comes to be positive.
Hence, it is proved that is always positive.
A weighted directed graph G(V, E) is given such that W:E?R and h:V?RFor every edge which is connected between vertex u and vertex v define new weight function.
Johnson’s algorithm uses steps as:
1. Add a new node a to the graph, each of the node in the graph is connected to the edges of weight zero.
2. In the second step, use the bellman-ford algorithm which determines the minimum weight along the path from the new vertex a to v. If during the process if negative weight cycle is found, then the algorithm is terminated.
3. Then in the next step the reweighting is done for the edge from u to v having length (original) and the new length is (after reweighting).
4. Finally the added node a is removed from the graph and the Dijkstra’s algorithm is used to find the shortest path.Illustration to prove that is always positive:
Consider the following graph G:
In the below graph, one new vertex, which is of orange color, is added into the above Graph G.
Next, assign the weight 0 to all the vertices which are connected with the new (source) vertex.
By using the Bellman-Ford algorithm, weights of vertices is calculated.
New non-negative weights of all the edges are calculated by using the weight function:
By using the reweighting technique, weights of edges can be calculated.
Thus from the above example, it is clear that weight function always contain positive value.
Using Johnson’s algorithm, weights of a directed and weighted graph can be rewritten without changing the shortest paths.
The flaw in the Professor Greenstreet claims:
Professor Greenstreet claims doesn’t guarantee that the shortest paths remain same, even after the graph is rewritten.
Counter example to Professor Greenstreet claims:
Consider the following graph with 4 edges and add minimum weight (-10) to every weight to re calculate .
The shortest path from is with weight 4 in the original graph.
After rewriting the graph using Professor Greenstreet’s claim, the shortest path from s to b, is changed. That is, with weight 15.
Therefore, Professor Greenstreet’s claim changes shortest paths.
Consider a 0-weight cycle a-b-c in a directed graph G. That is, Now, add a new vertex s to the graph G such that there is an edge between s to every vertex in the graph G. Then, compute the new weights for each edge in the graph.
Particularly,
Since the a-b-c is a 0-weight cycle,
Hence,
Similarly,
Therefore, if any graph G has a 0-wieghted cycle, then the new weights of every edge in the cycle is 0.
Example:
Observe that the cycle 1-3-4, where w(1,3) + w(3,4)+w(4,1) = 0
Add the new vertex s and compute the new weights.
After rewriting the graph, the new weights are as follows:
Observe that,


Travelling is the best part of my life. I have been to lot of places in Sri Lanka and few other countries. I feel blessed when I travel and feel the real fascination of nature. One day I will go around the world and visit the world wonders!
I am a huge Cricket fan
Cricket is the most populur game in Sri Lanka.I played cricket for my School, High School and University teams.I have played primier leauge level as a club member in division II from 2010.
Cricket is not just a sport. It is a part of my life!


{% extends "base.html" %} {% block title %}About | Spoj User Tool by nims11{% endblock %} {% block content %}
Spoj User Tool is an open source Spoj User Stats and comparision tool written in python using Django. This hobby project is my first Django based project aimed to furnish my basic Django skills.
The Github project link can be found in the page footer. Feel free to contribute through pull requests, suggestions and feedbacks (good or bad, I Love them!) and bug reports.
Contact Me:
Email: nimeshghelani[at]gmail[dot]com


Before Change
for veh_id in self.sorted_ids]
// divide the values by the maximum attainable speed
normalized_vel = np.array(vel) / max_speed
normalized_pos = []
for i in range(len(pos)):
if edge[i] == 0:
// positions of vehicles in the ring are divided by the length
// of the ring
normalized_pos.append(pos[i])
elif edge[i] == 1:
// positions of vehicles in the merge are divided by the length
// of the merge
normalized_pos.append(pos[i])
state = np.array([normalized_vel, normalized_pos, edge, is_rl]).T
return state
def sort_by_position(self):
See parent class
After Change
positions on the edge, for each vehicle.
vel = self.vehicles.get_speed(self.sorted_ids)
pos = [self.get_x_by_id(veh_id) for veh_id in self.sorted_ids]
// is_rl = [int(veh_id in self.rl_ids) for veh_id in self.sorted_ids]
// // normalize the speed


Fun With C# and HP Laserjets I was studying the C# language one day and thought back to earlier in my career. Back then I was learning the assembly language for a little 8 bit Hitachi CPU (the 6303) in order to control a small thermal printer. With the right control codes you could g...
Entity Framework Core: Getting Started This course helps those with experience in earlier versions of EF and EF Core, and developers completely new to Entity Framework. Learn how to build data models with EF Core 3.1, use EF Core to let your software interact with data in your databases and in...
View K. Allen's Obituary on standardspeaker.com and share memories K. Scott Allen, 50, of Hagerstown, Md., passed away at his home on Friday. Born June 11, 1969, he was the son of the late Frank Bowman and Jane Eilee
Endpoint Debugging in ASP.NET Core 3 Applications Nothing can be more frustrating than going into a situation “thinking” you know how a framework works, only to spend the next several hours pulling your hair out and stewing in a pot of unhealthy feelings. I like to consider myself an ASP.NET routing expe...
HTML attributes to improve your users' two factor authentication experience Learn how to use the HTML autocomplete, inputmode and pattern attributes to improve the user experience of logging in.
Craft Classic Seattle The Craft Classic Seattle is on Sunday June 28, 2020. It includes the following events: Half Marathon and 5K.
Sessions - Developer! Developer! Developer! North Session voting is now closed and the votes are being counted, analysed and speakers will be contacted. This page will show confirmed sessions later this week and our Agenda will be published on Friday!
dotnet/project-system The C#, F# and Visual Basic project system for Visual Studio - dotnet/project-system
microsoft/MSBuildSdks MSBuild project SDKs. Contribute to microsoft/MSBuildSdks development by creating an account on GitHub.
Ozzy Man Reviews: Australian Bushfires Wanted to share some of me raw thoughts with you legends, plus compile footage of what's going on down here. Below is a list of links with mintox places to donate to if ya keen to help. DONATION LINKS: FB fundraiser by Aussie comedian Celeste Barber: ...


IntroductionThe idea behind this site is to give myself and other programmers a high-level easy-to-understand overview of common architectural patterns in software. It is meant as a source of inspiration for those who are asked to create some program and have really no idea what it should look like or where to start. I hope you enjoy it. Architectural patternsEach architecture is unique. However, some patterns are common in the history of software development. These are called architectural patterns. At least some of them will be familiar to you.
Books
|


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/.60leanpkg.20upgrade.60.20no.20longer.20working.3F.html ---
Since I've switched all my repositories to have lean_version = "3.4.1"
in the leanpkg.toml
file, it seems that leanpkg upgrade
no longer has any effect: that is, commits to downstream repositories aren't pulled.
Did something change?
Can anyone guess what I'm doing wrong? I just want my leanpkg.toml
file to be automatically updated to the latest commit of the downstream repos.
leanpkg is looking for a branch lean-3.4.1
. You should switch to that from master
if you only want to support that version. You should not set stable Lean versions on the master
branch.
Okay --- I'm a bit confused. The leanpkg.toml
file in mathlib
currently says: lean_version = "3.4.1"
, so I'd copied that over into my little chain of dependencies. What should the lean_version
in my leanpkg.toml
files be?
mathlib now keeps the master
and a new lean-3.4.1
branch in sync, but I'd recommend just moving to the latter altogether https://leanprover.zulipchat.com/#narrow/stream/113488-general/subject/lean-3.2E4.2E1.20branch/near/127075441
I'm sorry, I still don't understand. What am I meant to do in my repos, so that leanpkg upgrade
actually upgrades? Should I set all the lean_version
lines back to master
?
You should keep lean_version = "3.4.1"
but push that as a new branch lean-3.4.1
to your repo(s) and use that branch for development against Lean 3.4.1.
ooooh. That hadn't even occurred to me. For lame git-newbs like me, it's so much easier to just do everything in the master branch. (Okay, I think I could cope, but I'm not sure @Kevin Buzzard could. :-)
You can set the default branch on Github to the new branch, then there shouldn't be all that much difference
In his book "Lean for the working mathematician", I think Kevin will have to spend the first 30 pages on "Git for the working mathematician".
Is there any possibility of changing the tooling so people can continue developing their repositories on master
branches, and still have leanpkg upgrade
work?
(Sorry to restart a two week old thread --- for quick context, apparently the advice was that if you want to be able to use leanpkg upgrade
, you need to work in a branch called lean-3.4.1
.)
Well, Lean 3 is frozen. We can add a branch
config field to leanpkg.toml dependencies in Lean 4 so that users can stay on non-canonical branches.
Last updated: Apr 24 2020 at 19:02 UTC


IMM Team Members
- Cornell Wright, iOS Developer
- Alpana Barua, Scrum Master & part-time iOS Developer
- Jeffry Pincus, Android Developer
- Frederick Jansen, Android & Hybrid Developer
- Manoj Shenoy, iOS Developer
- Justin Sanford, Android & Hybrid Developer
- Evan Borysko, Product Owner & part-time iOS Developer
Product owner: Evan Borysko
Scrum Master: Alpana Barua


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!!! New Batch for GATE !!!
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From:Lamadrid Victor To:Alvarado Kevin Sent:2017-01-11T04:40:08.0000000Z Subject:FW: CAPACITY ALLOC-TIMELY NOMINATION CYCLE FOR JUNE 9-11, 2001
-----Original Message-----
From: navigator@nisource.com@ENRON <EMAIL_ADDRESS>Sent: Friday, June 08, 2001 10:03 AM
To<EMAIL_ADDRESS>Subject: CAPACITY ALLOC-TIMELY NOMINATION CYCLE FOR JUNE 9-11, 2001
COLUMBIA GAS TRANSMISSION CORPORATION
NOTICE TO ALL INTERESTED PARTIES
JUNE 08, 2001
Notice ID: 2790
5 - NO RESPONSE REQUIRED
SUBJECT: CAPACITY ALLOCATION-TIMELY NOMINATION CYCLE FOR JUNE 9-11, 2001
PLEASE NOTE THAT ALL ALLOCATIONS ARE SUBJECT TO CHANGE BASED ON THE
RECEIPT OF ANY NEW NOMINATIONS OR INTRADAY NOMINATIONS.
RECEIPT:
LEBANON AGGREGATE:
JUNE 9, 2001: There is no capacity for new IPP customers. IPP customers
nominating increases received 107.493% of their June 8, 2001 flowing volumes or
their June 9, 2001 nominated quantities, whichever was less.
JUNE 10, 2001: There is no capacity for new IPP customers. IPP customers
nominating increases received 101.034% of their June 9, 2001 flowing volumes or
their June 10, 2001 nominated quantities, whichever was less.
JUNE 11, 2001: There is no capacity for new IPP customers. IPP customers
nominting increases received 108.29% of their June 10, 2001 flowing volumes or
their June 11, 2001 nominated quantities, whichever was less.
Excess MDWQ Available +
ISS Withdrawals Available
SIT Withdrawals Available
Imbalance Drawdowns Available
PAL Lends/Unparks Available
Excess MDIQ Available +
ISS Injections Available
SIT Injections Available
Imbalance Paybacks Available
PAL Parks/Loan Paybacks Available
+ Call Gas Control 24 hours in advance at<PHONE_NUMBER> to request approval.
Columbia Gas Transmission has completed allocating all of its receipt and
delivery points for the gas days of June 9-11, 2001. You may now view the
quantities you are authorized to flow on June 9-11, 2001. On the Internet
NAVIGATOR, view Nominations, Scheduled Quantity, Scheduled Quantity for Service
Requestor-Summary, Nominations to be Viewed, and select Reduced Nominations.
The quantities confirmed to flow for your account are available on the Internet
NAVIGATOR after 5:30 p.m. Eastern Time on Friday, June 8, 2001.
If you have any questions, please contact your Account Representative.
***********
EDRM Enron Email Data Set has been produced in EML, PST and NSF format by ZL Technologies, Inc. This Data Set is licensed under a Creative Commons Attribution 3.0 United States License <http://creativecommons.org/licenses/by/3.0/us/> . To provide attribution, please cite to "ZL Technologies, Inc. (http://www.zlti.com)."
***********
California


Northern Lights trip in Norway with Hurtigruten aboard MS Nordnorge
The scenery is astounding on the journey from Kirkenes to Bergen - as you can see from these photographs - and changes dramatically as you travel South
17 Nov 2019, 06:00 by Lesley Oldfield
The Northern Lights seen on deck at Tromso in Norway(Image: Jan Holthe)
Our ship MS Nordnorge seen from Trondenes Historical Centre. We rejoined it at the next port(Image: Chroniclelive)
Another amazing view on the last day of our voyage to Bergen(Image: Chroniclelive)
A dramatic sunset after leaving Trondheim aboard Hurtigruten's MS Nordnorge(Image: Chroniclelive)
Harstad in Vesteralen where Hurtigruten's MS Nordnorge calls in(Image: Chroniclelive)
View from Torghatten in Bronnoysund, a steep 20-25 minute walk and scramble offered as an excursion by Hurtigruten, weather permitting(Image: Chroniclelive)
The King Crab banquet in the Kysten fine dining area aboard MS Nordnorge(Image: Chroniclelive)
The MS Nordnorge crew negotiate the narrow Trollfjord in a dramatic side trip from our route(Image: Chroniclelive)
One of the many lighthouses en route to Bergen aboard Hurtigruten's MS Nordnorge(Image: Chroniclelive)
Passing Floro on the last day of our journey from Kirkenes to Bergen in Norway on Hurtigruten's Classic Voyage South(Image: Chroniclelive)
A spoonful of cod liver oil marks the ship's departure from the Arctic Circle in memorable fashion(Image: Chroniclelive)
The Christmas lights in Stokmarknes' tiny high street have a stunning backdrop. This is also the home of the Hurtigruten Museum(Image: Chroniclelive)
A comfy Artic Superior cabin aboard Hurtigruten's MS Nordnorge(Image: Agurtxane Concellon / Hurtigruten)
Hurtigruten's MS Nordnorge docks briefly at snowy Vardo - some stops for post or cargo are just 15 minutes so passengers stay aboard(Image: Chroniclelive)


public class TuringTransitionOutput<T>
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
private Direction[] |
directions |
private MultiTapeReadWriteData<T> |
rwData |
| Constructor and Description |
|---|
TuringTransitionOutput(MultiTapeReadWriteData<T> toWrite,
Direction... directions)
Creates a new instance.
|
| Modifier and Type | Method and Description |
|---|---|
Direction[] |
getDirections() |
MultiTapeReadWriteData<T> |
getToWrite() |
private MultiTapeReadWriteData<T> rwData
private Direction[] directions
public TuringTransitionOutput(MultiTapeReadWriteData<T> toWrite, Direction... directions)
java.lang.IllegalArgumentException
- if the amount of directions given doesn't match
the amount of ReadWriteDatapublic MultiTapeReadWriteData<T> getToWrite()
public Direction[] getDirections()


GPU Allocations 2020
[No canvas support]
Reserve GPU
K20
K40
1080
TRTX
P40
T4
V100
Start Date
End Date
Project


|
| | __construct (Element $element, Tag $target, array $config=array()) |
| | Create element. More...
|
| |
| | getConfig (&$config) |
| | Add properties to the given $config array to allow reconstruction of this widget via its constructor. More...
|
| |
| OOUI\ElementMixin::__construct |
( |
Element |
$element, |
|
|
Tag |
$target, |
|
|
array |
$config = array() |
|
) |
| |
Create element.
- Parameters
-
| OOUI\ElementMixin::getConfig |
( |
& |
$config | ) |
|
Add properties to the given $config
array to allow reconstruction of this widget via its constructor.
This method is meant to be overridden by subclasses of ElementMixin
.
- Returns
- array A configuration array.
- See also
- Element::getConfig()
The documentation for this class was generated from the following file:


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ofSoundStream
ofSoundStream methods
setup(...)
bool ofSoundStream::setup(ofBaseApp *app, int outChannels, int inChannels, int sampleRate, int bufferSize, int nBuffers)
setup(...)
bool ofSoundStream::setup(int outChannels, int inChannels, int sampleRate, int bufferSize, int nBuffers)
ofSoundStream functions
ofSoundStreamSetup(...)
void ofSoundStreamSetup(int nOutputs, int nInputs, ofSimpleApp * OFSA)
Sets up the audio, with nOutputs channels of audio out, nInputs channels of audio in. You also must pass in a pointer to the ofSimpleApp, so you can just use the word "this". For example, for 2 channel output, call in the setup function:
ofSoundStreamSetup(2,0,this);
In this simplified call, the bufferSize, sampleRate, and number of buffers (for latency) are all set to defaults.
ofSoundStreamSetup(...)
void ofSoundStreamSetup(int nOutputs, int nInputs, ofSimpleApp * OFSA, int sampleRate, int bufferSize, int nBuffers)
Sets up the audio, but allows you to control more precise details of the audio system.
ofSoundStreamSetup(...)
void ofSoundStreamSetup(int nOutputChannels, int nInputChannels, ofBaseApp *appPtr=NULL)
ofSoundStreamSetup(...)
void ofSoundStreamSetup(int nOutputChannels, int nInputChannels, int sampleRate, int bufferSize, int nBuffers)
ofSoundStreamSetup(...)
void ofSoundStreamSetup(int nOutputChannels, int nInputChannels, ofBaseApp *appPtr, int sampleRate, int bufferSize, int nBuffers)


Lewis Hamilton on racing in 2021: "I see no reason to stop"
by Louis ShawWith a new set of rules announced for 2021, drivers nearing the end of their careers need to make a decision. Lewis Hamilton is one of those drivers and he is hoping to continue driving although nothing is certain yet.
"Of course there is nothing definitive for the future yet, but I am clearly still enjoying what I am doing. I see no reason to stop doing that since I love doing it," said Hamilton.
“And yes, if a challenge is created due to new rule changes, then that is also a challenge for me as a driver. I have to use my skills and knowledge of the previous seasons to push the team in the right direction in order to achieve consistent, good performances again."
There has been much speculation about Hamilton moving team for the final years of his career but the Mercedes driver is happy where he is.
“I don't necessarily see myself driving anywhere else. I love driving at Mercedes and being part of the brand. Be a part of history. I have been driving here since I was 13, so the idea of staying with them, even after Formula 1, is something that appeals to me. Logically, I will continue to race for a few years and I want to win in those years."
Hamilton will like the challenge of a new set of regulations and will hope that 2021 is the season where he can beat Michael Schumacher's record.


A powerhouse to be reckoned with in the intellectual space of Kerala, Balakrishnan was an author par excellence, a committed and daring journalist, a fiery orator and above all a great human being. He authored one of best and most widely read novels of the language,a controversial and original history of the state ,and a series of studies unparalleled in their depth, understanding and originality of vision. He never took the beaten tracks in whatever he did. His vision and learning took him through unchartered territories which he conquered with his characteristic mastery.
Know MoreSend us an email and we will get back to you as soon as possible!


---
layout: post
title: What camera?
tags: []
status: publish
type: post
published: true
meta: {}
---
I am in the market for a new Digital camera and I do quite like the idea of getting DLSR of some sorts. The current favourite it the Canon eos 300d. Mainly because of the guys around the office have been saying so, but also because a few comments on Slashdot and the firmware hacks that are out there. However there is so much new information to absorb and I was quite pleased to stumble across this series of articles: Beyond Megapixels, which had some useful information as to what to look out for. Again well worth a read.


HLA-A*6817, identified in the Kolla Amerindians of North-West Argentina possesses a novel nucleotide substitution.
Analysis of HLA polymorphism of the indigenous populations of Central and South America has identified many alleles not seen previously in other populations. We have described a novel allele, B*5113, previously in a Kolla Amerindian individual from North-West Argentina. Here we present a second novel allele from this population: A*6817, which differs from its closest neighbour A*68012 by a single substitution at nucleotide 419. This substitution of adenosine 419 A*68012 for thymidine in A*6817 results in a novel amino acid change (aspartate to valine) at residue 116.


Ploror688.github.io
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2 Column Regular Dashboard
3 Column Multifocused Dashboard
2 Column Overview Dashboard
3 Column Regular Dashboard
3 Column Focused Dashboard
2 Column Multifocused Dashboard
2 Column Regular Dashboard
2 Column Multifocused Dashboard
3 Column Multifocused Dashboard
1 Column Overview Dashboard
3 Column Multiview Dashboard
2 Column Superview Dashboard
2 Column Megaview Dashboard


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You're just a few clicks away from accessing interest free credit and helping to kick-start a new economy!
This form is to make an application to become a full Trading Member of the alpha-phase of the UK Open Credit Network. Becoming a Trading Member has a few legal and financial implications so please make sure that you are happy with the Membership Agreement before you fill in this form.
{{ end }}


-
Mvf_End()
- Ends the mvf package.
-
Mvf_FunctionAddMintermsToComponent()
- Adds a set of minterms to the ith component of a function.
-
Mvf_FunctionAlloc()
- Allocates a multi-valued function of n components.
-
Mvf_FunctionArrayComputeNumBddNodes()
- Returns the number of BDD nodes of an array of multi-valued
functions.
-
Mvf_FunctionArrayFree()
- Frees an array of multi-valued output functions.
-
Mvf_FunctionBuildRelationWithVariable()
- Returns the MDD representation of the relation (var == function).
-
Mvf_FunctionCofactor()
- Calls bdd_cofactor on each component of a multi-valued function.
-
Mvf_FunctionComposeWithFunctionArray()
- Substitutes a set of variables by a set of functions in a function.
-
Mvf_FunctionComposeWithFunction()
- Substitutes a variable by a function in a function.
-
Mvf_FunctionComputeAddition()
- Returns the mvf for the modulo addition of the two
multi-valued functions.
-
Mvf_FunctionComputeDomain()
- Computes the domain of a multi-valued function.
-
Mvf_FunctionComputeHashValue()
- Hashes A multi-valued function.
-
Mvf_FunctionComputeITE()
- Returns the if then else of two mvfs.
-
Mvf_FunctionComputeNumBddNodes()
- Returns the number of BDD nodes of a multi-valued function.
-
Mvf_FunctionComputeSubtraction()
- Returns the mvf for the modulo subtraction of the two
multi-valued functions.
-
Mvf_FunctionComputeSupport()
- Computes the variables in the true support of a function.
-
Mvf_FunctionCreateFromVariable()
- Creates the multi-output function for a variable.
-
Mvf_FunctionDuplicate()
- Duplicates a multi-valued output function.
-
Mvf_FunctionFindFirstTrueComponent()
- Returns the index of the first component of a multi-valued
function that is equal to the tautology.
-
Mvf_FunctionFree()
- Frees a multi-valued output function.
-
Mvf_FunctionMinimize()
- Calls bdd_minimize on each component of a multi-valued function.
-
Mvf_FunctionObtainComponent()
- Returns a copy of the MDD giving the minterms for which a
multi-valued function evaluates to its ith value.
-
Mvf_FunctionReadComponent()
- Returns the MDD giving the minterms for which a
multi-valued function evaluates to its ith value. The user should not free
this MDD.
-
Mvf_FunctionReadMddManager()
- Returns the MDD manager of a multi-valued function.
-
Mvf_FunctionReadNumComponents()
- Returns the number of components of a multi-valued function.
-
Mvf_FunctionTestIsCompletelySpecified()
- Returns true if a multi-valued function is completely specified, else
false.
-
Mvf_FunctionTestIsConstant()
- Returns true if a multi-valued function is constant, else
false.
-
Mvf_FunctionTestIsDeterministic()
- Returns true if a multi-valued function is deterministic, else
false.
-
Mvf_FunctionTestIsEqualToFunction()
- Returns true if two multi-valued functions are equal, else false.
-
Mvf_FunctionTestIsNonDeterministicConstant()
- Returns true if a multi-valued function is a non-deterministic
constant, else false.
-
Mvf_FunctionTestIsWellFormed()
- Returns true if a function is deterministic and completely
specified, else false.
-
Mvf_FunctionsComputeEquivalentSet()
- Returns the set of minterms on which two functions agree.
-
Mvf_Init()
- Initializes the mvf package.
-
Mvf_MddComposeWithFunction()
- Substitutes a variable by a function in an mdd_t *.
-
()
- Iterates over the components of a multi-valued function.
Last updated on 1031104 18h39


In the beginning of this HTML course, I remember saying that CSS is using for styling webpages which includes giving it colors but HTML also has a way of applying colors to its elements. HTML uses hexadecimal values to create its colors. These hexadecimal values include 0,1,2,3,4,5,6,7,8,9,A,B,C,D,E,F. Now a combination of these characters create colors with which HTML uses to give its elements colors. The hexadecimal values of HTML colors could be researched and a hash sign is used to start the color value e.g white is #ffffff or #fff while black is #000000 or #000.


LCC run active ladders in all tennis disciplines throughout the year. Doubles and Singles box leagues are held each Spring, Summer, and Autumn.
These internal competitions are a great way to practice and meet new members.
LCC Tennis are proud to host the first Dublin Tennis Open Week of the summer every year. This is a very popular graded tournament with singles, doubles and mixed doubles events and tennis players from all over Ireland are welcome.
As well as great tennis on display there’s always great craic throughout the week.
LCC women’s and men’s teams take part in all of the Dublin Lawn Tennis Committee’s Leagues throughout the year. The competitions vary with singles, doubles and mixed double action. Leagues are a great way to compete with players from other clubs with each league comprising of home and away matches.
Talk to our Mens’ and Ladies’ Captains if you’re interested in taking part.
The Club Championships is an annual event which runs every summer for LCC members to compete for the prestigious Men’s and Ladies’ Singles, Doubles and Mixed Doubles perpetual trophies.
Additional events coincide so players of all levels can have great games with the chance of taking home a prize.
The Finals Afternoon for all events is the same day as our annual At Home Dinner. The evening is favourite of our members as we get to enjoy the prize-giving, nice food and lots of fun which usually goes on into the small hours.
LCC is a fabulous complex with access to 5 different sports.
The complex includes six all-weather floodlit tennis courts, a tennis practice wall, a floodlit all-weather bowling green, two squash courts, top class table tennis facilities and one of Ireland’s premier cricket grounds.
The LCC Gym room comprises mainly of aerobic equipment, allowing you to stay fit or stretch and warm up for your matches. It contains treadmills, exercise bikes, cross trainers, mats and a medicine ball. All adult members can avail of this facility.
The men’s and ladies’ changing rooms each have a sauna – the perfect place to ease your tired muscles after a great game of tennis. Tokens for the Saunas are available from the bar.
The LCC bar is run by Ronnie. It is serviced by a full time barman. Our bar opens each day from 5pm until closing, and often opens earlier at the weekend if there is something on. All of the big sporting events are shown live and food can be ordered from the bar and delivered from two wonderful local restaurants.
The Function Room with adjoining kitchen has direct access to the bar and is a great space for gigs, parties, meals, meetings and is also a popular rehearsal space. Contact the office for information regarding hiring the function room for your event, LCC members get a generous discount. Smaller rooms are also available for hire.
Adult private sessions are available for members Monday to Thursday mornings booking through Dave O’Grady -<PHONE_NUMBER>. Sessions are 50mins and a great way to ease yourself back to tennis or learn the right technique if you're new to tennis
Adult group training is now available Saturday mornings with Dave bookable through SportyHq. A good way to practice drills and meet others looking to improve technique and skills for better play.
| Session | Day/Time |
|---|---|
| Improver | Sat 10:15am - 11:15am |
| Advanced | Sat 11:30am - 12:30pm |
Ways To Play
Thursday Night Social Tennis
Social night runs every Thursday night from 7:30pm. All members of the club are welcome to come down for organised friendly play followed by drinks and chats in the bar.
There’s no pre-arranging required so making sure you get your weekly game couldn’t be easier.
If you’re thinking of joining LCC, come along on a Thursday night to see what the club is like.
WhatsApp Groups
Looking for somebody to play? Try one of our WhatsApp hitting groups, for an easy way to find somebody to practice with.
To be added to a group, please send an email to info@lcctennis.com.


prtRvMvn Multivariate normal random variable
RV = prtRvMvn creates a prtRvMvn object with empty mean and
covariance matrices. The mean and covariance matrices must be set
either directly, or by calling the MLE method.
RV = prtRvMvn('covarianceStructure', VALUE) enforces a covariance
structure, which may be either 'full', 'spherical', or 'diagonal'.
Setting this property to 'spherical' or 'diagonal' will enforce
this structure onto the existing covariance matrix, or one
estimated by calling the MLE method.
RV = prtRvMvn(PROPERTY1, VALUE1,...) creates a prtRvMv object RV
with properties as specified by PROPERTY/VALUE pairs.
A prtRvMvn object inherits all properties from the prtRv class. In
addition, it has the following properties:
covarianceStructure - A string specifying the structure of the
covariance matrix to estimate or enforce.
Valid values are 'full','spherical', or
'diagonal'
mu - The mean of the distribution, which is
a 1 x nDimensions vector.
sigma - The covariance matrix of the distribution,
which is a nDimensions x nDimensions
matrix.
A prtRvMvn object inherits all methods from the prtRv class. The MLE
method can be used to estimate the distribution parameters from
data.
Example:
dataSet = prtDataGenUnimodal; % Load a dataset consisting of 2
% classes
% Extract one of the classes from the dataSet
dataSetOneClass = prtDataSetClass(dataSet.getObservationsByClass(1));
RV = prtRvMvn; % Create a prtRvMvn object
RV = RV.mle(dataSetOneClass.getX); % Compute the maximum
% likelihood estimate from the
% data
RV.plotPdf % Plot the pdf
RVspec = prtRvMvn; % Create another prtRvMvn
% object
RVspec.mu = [1 2]; % Specify the mean
RVspec.sigma = [2 -1; -1 2] % Specify the covariance
figure;
RVspec.plotPdf % Plot the pdf
sample = RVspec.draw(1) % Draw 1 random sample from the
% Distribution
|
|
cdf |
Output the cdf of the random variable evaluated at the points specified |
|
|
crossValidate |
Cross validate prtAction using prtDataSet and cross validation keys. |
|
|
draw |
Draw random samples from the distribution described by the prtRv object |
|
|
get |
get the object properties |
| protected
|
getNumDimensions |
|
|
|
kfolds |
Perform K-folds cross validation of prtAction |
|
|
logPdf |
Output the log pdf of the random variable evaluated at the points specified |
|
|
mle |
Compute the maximum likelihood estimate |
|
|
optimize |
Optimize action parameter by exhaustive function maximization. |
|
|
pdf |
Output the pdf of the random variable evaluated at the points specified |
|
|
plotCdf |
Plots the CDF of the prtRv |
|
|
plotPdf |
Plot the pdf of the prtRv |
|
|
run |
Run a prtAction object on a prtDataSet object. |
|
|
set |
set the object properties |
|
|
train |
Train a prtAction object using training a prtDataSet object. |


RadarAddress
Objective-C
@interface RadarAddress : NSObject
Swift
class RadarAddress : NSObject
Represents an address.
-
The location coordinate of the address.
Declaration
Objective-C
@property (nonatomic, readonly) CLLocationCoordinate2D coordinate;
Swift
var coordinate: CLLocationCoordinate2D { get }
-
The formatted string representation of the address.
Declaration
Objective-C
@property (nonatomic, copy, readonly, nullable) NSString *formattedAddress;
Swift
var formattedAddress: String? { get }
-
The name of the country of the address.
Declaration
Objective-C
@property (nonatomic, copy, readonly, nullable) NSString *country;
Swift
var country: String? { get }
-
The unique code of the country of the address.
Declaration
Objective-C
@property (nonatomic, copy, readonly, nullable) NSString *countryCode;
Swift
var countryCode: String? { get }
-
The flag of the country of the address.
Declaration
Objective-C
@property (nonatomic, copy, readonly, nullable) NSString *countryFlag;
Swift
var countryFlag: String? { get }
-
The name of the DMA of the address.
Declaration
Objective-C
@property (nonatomic, copy, readonly, nullable) NSString *dma;
Swift
var dma: String? { get }
-
The unique code of the DMA of the address.
Declaration
Objective-C
@property (nonatomic, copy, readonly, nullable) NSString *dmaCode;
Swift
var dmaCode: String? { get }
-
The name of the state of the address.
Declaration
Objective-C
@property (nonatomic, copy, readonly, nullable) NSString *state;
Swift
var state: String? { get }
-
The unique code of the state of the address.
Declaration
Objective-C
@property (nonatomic, copy, readonly, nullable) NSString *stateCode;
Swift
var stateCode: String? { get }
-
The postal code of the address.
Declaration
Objective-C
@property (nonatomic, copy, readonly, nullable) NSString *postalCode;
Swift
var postalCode: String? { get }
-
The city of the address.
Declaration
Objective-C
@property (nonatomic, copy, readonly, nullable) NSString *city;
Swift
var city: String? { get }
-
The borough of the address.
Declaration
Objective-C
@property (nonatomic, copy, readonly, nullable) NSString *borough;
Swift
var borough: String? { get }
-
The county of the address.
Declaration
Objective-C
@property (nonatomic, copy, readonly, nullable) NSString *county;
Swift
var county: String? { get }
-
The neighborhood of the address.
Declaration
Objective-C
@property (nonatomic, copy, readonly, nullable) NSString *neighborhood;
Swift
var neighborhood: String? { get }
-
The street number of the address.
Declaration
Objective-C
@property (nonatomic, copy, readonly, nullable) NSString *number;
Swift
var number: String? { get }
-
The label of the address.
Declaration
Objective-C
@property (nonatomic, copy, readonly, nullable) NSString *addressLabel;
Swift
var addressLabel: String? { get }
-
The label of the place.
Declaration
Objective-C
@property (nonatomic, copy, readonly, nullable) NSString *placeLabel;
Swift
var placeLabel: String? { get }
-
The confidence level of the geocoding result.
Declaration
Objective-C
@property (nonatomic) enum RadarAddressConfidence confidence;
Swift
var confidence: RadarAddressConfidence { get set }


Clients
Fenza Legal Services is a small lawfirm based out of New Jersey that specializes in family law.
Astute Medical Legal Nurse Consulting is a legal consulting business in north Jersey.
Certification and Badges
This is a relatively accurare representation of which languages I'm familiar with, and where I have knowledge of best practices.
View My Code School Profile
View My Treehouse Profile


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:
object
Auth
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:
AuthClient
= AuthClient
Cluster
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:
ClusterClient
= ClusterClient
KV
KV
:
KVClient
= KVClient
Lease
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:
LeaseClient
= LeaseClient
Maintenance
Maintenance
:
MaintenanceClient
= MaintenanceClient
Watch
Watch
:
WatchClient
= WatchClient
Globals
"auth"
"backoff/backoff"
"backoff/exponential"
"builder"
"connection-
pool"
"errors"
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TypeDoc


Welcome to Smeetsa Hoot!
Notarealtown's #1 ranked pizza parlor for 20+ years is dedicated to bringing you only the finest ingredients.
Let's make your pizza dream come true!
Choose a size:
$10 Medium
$15 Large
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All Pizzas come with cheese. Additional toppings $2 each:
Extra Cheese
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↑ Instructions
The admin interface offers functionality normally not available to the end user.
x = 0, y = 0, z = 0, a = 0
Save Settings Preview Camera
The date-time is shown in the time zone of the system/browser.
Reset Blocks


Color a surface on one side only.
| in | Mesh+Node_Data | A surface with node data. |
| Back Surface Color | color chooser | Select the surface color. |
| Reverse side | toggle | Reverse the side that has to be colored. |
| obj | DefaultObject | The renderable version of in. One of its surfaces is colored according to the parameter. |


Duis vulputate porttitor urna sit amet pretium. Phasellus sed pulvinar eros, condimentum consequat ex. Suspendisse potenti.
Pellentesque maximus lorem sed elit imperdiet mattis. Duis posuere mauris ut eros rutrum sodales. Aliquam erat volutpat.
Learn Introductory German Concepts
Klarebot teaches you the concepts you need to build a strong foundation in german by teaching you how to use grammar concepts, tips that german speakers use, creative writing guides and so much more!


Description
The Direct Manipulation Sample 1 demonstrates dragging and dropping text from entryfields. By typing data into one entryfield, you can drag the text and drop into the other entryfield. Classes used include IDMEFItem, and IDMHandler.
Concept
Sample program demonstrates direct manipulation between entryfields.
Task
Highlight text in the source entryfield and drag to the target entryfield.
Supported
Supported
Supported


| void CxImage::Enable | ( | bool | enable = true |
) | [inherited] |
Enables/disables the image.
| BYTE * CxImage::GetBits | ( | DWORD | row = 0 |
) | [inherited] |
| WORD CxImage::GetBpp | ( | ) | const [inherited] |
| DWORD CxImage::GetClrImportant | ( | ) | const [inherited] |
| DWORD CxImage::GetCodecOption | ( | DWORD | imagetype = 0 |
) | [inherited] |
| BYTE CxImage::GetColorType | ( | ) | [inherited] |
| void * CxImage::GetDIB | ( | ) | const [inherited] |
| BYTE CxImage::GetDisposalMethod | ( | ) | const [inherited] |
Gets the method for drawing the frame related to others Values : 0 - No disposal specified. The decoder is not required to take any action. 1 - Do not dispose. The graphic is to be left in place. 2 - Restore to background color. The area used by the graphic must be restored to the background color. 3 - Restore to previous. The decoder is required to restore the area overwritten by the graphic with what was there prior to rendering the graphic. 4-7 - To be defined.
| DWORD CxImage::GetEffWidth | ( | ) | const [inherited] |
| long CxImage::GetEscape | ( | ) | const [inherited] |
| DWORD CxImage::GetFlags | ( | ) | const [inherited] |
| long CxImage::GetFrame | ( | ) | const [inherited] |
| CxImage * CxImage::GetFrame | ( | long | nFrame | ) | const [inherited] |
| DWORD CxImage::GetFrameDelay | ( | ) | const [inherited] |
| DWORD CxImage::GetHeight | ( | ) | const [inherited] |
| BYTE CxImage::GetJpegQuality | ( | ) | const [inherited] |
| float CxImage::GetJpegQualityF | ( | ) | const [inherited] |
| BYTE CxImage::GetJpegScale | ( | ) | const [inherited] |
| const char * CxImage::GetLastError | ( | ) | [inherited] |
Returns the last reported error.
| DWORD CxImage::GetNumColors | ( | ) | const [inherited] |
| long CxImage::GetNumFrames | ( | ) | const [inherited] |
This function must be used after a Decode() / Load() call. Use the sequence SetFrame(-1); Load(...); GetNumFrames(); to get the number of images without loading the first image.
| DWORD CxImage::GetNumTypes | ( | ) | [static, inherited] |
| void CxImage::GetOffset | ( | long * | x, | |
| long * | y | |||
| ) | [inherited] |
| long CxImage::GetProgress | ( | ) | const [inherited] |
| bool CxImage::GetRetreiveAllFrames | ( | ) | const [inherited] |
| long CxImage::GetSize | ( | ) | [inherited] |
| RGBQUAD CxImage::GetTransColor | ( | ) | [inherited] |
| long CxImage::GetTransIndex | ( | ) | const [inherited] |
Gets the index used for transparency. Returns -1 for no transparancy.
| DWORD CxImage::GetType | ( | ) | const [inherited] |
| DWORD CxImage::GetTypeIdFromIndex | ( | const DWORD | index | ) | [static, inherited] |
| DWORD CxImage::GetTypeIdFromName | ( | const TCHAR * | ext | ) | [static, inherited] |
| DWORD CxImage::GetTypeIndexFromId | ( | const DWORD | id | ) | [static, inherited] |
| const TCHAR * CxImage::GetVersion | ( | ) | [static, inherited] |
| const float CxImage::GetVersionNumber | ( | ) | [static, inherited] |
| DWORD CxImage::GetWidth | ( | ) | const [inherited] |
| long CxImage::GetXDPI | ( | ) | const [inherited] |
| long CxImage::GetYDPI | ( | ) | const [inherited] |
| bool CxImage::IsEnabled | ( | ) | const [inherited] |
True if the image is enabled for painting.
| bool CxImage::IsTransparent | ( | ) | const [inherited] |
| bool CxImage::IsValid | ( | ) | const [inherited] |
Checks if the image is correctly initializated.
| void CxImage::SetClrImportant | ( | DWORD | ncolors = 0 |
) | [inherited] |
sets the maximum number of colors that some functions like DecreaseBpp() or GetNearestIndex() will use on indexed images
| ncolors | should be less than 2^bpp, or 0 if all the colors are important. |
| bool CxImage::SetCodecOption | ( | DWORD | opt, | |
| DWORD | imagetype = 0 | |||
| ) | [inherited] |
Encode option for GIF, TIF and JPG.
| void CxImage::SetDisposalMethod | ( | BYTE | dm | ) | [inherited] |
Sets the method for drawing the frame related to others
| void CxImage::SetEscape | ( | long | i | ) | [inherited] |
Used to quit the slow loops or the codecs.
| void CxImage::SetFlags | ( | DWORD | flags, | |
| bool | bLockReservedFlags = true | |||
| ) | [inherited] |
Image flags, for future use
| flags |
| |
| bLockReservedFlags | protects the "reserved" and "blend modes" flags |
| void CxImage::SetFrame | ( | long | nFrame | ) | [inherited] |
| void CxImage::SetFrameDelay | ( | DWORD | d | ) | [inherited] |
Sets current frame delay. Only for GIF format.
| d | = delay in milliseconds |
| void CxImage::SetJpegQuality | ( | BYTE | q | ) | [inherited] |
quality level for JPEG and JPEG2000
| q,: | can be from 0 to 100 |
| void CxImage::SetJpegQualityF | ( | float | q | ) | [inherited] |
quality level for JPEG and JPEG2000 necessary for JPEG2000 when quality is between 0.0 and 1.0
| q,: | can be from 0.0 to 100.0 |
| void CxImage::SetJpegScale | ( | BYTE | q | ) | [inherited] |
scaling down during JPEG decoding valid numbers are 1, 2, 4, 8
| void CxImage::SetOffset | ( | long | x, | |
| long | y | |||
| ) | [inherited] |
| void CxImage::SetProgress | ( | long | p | ) | [inherited] |
Forces the value of the internal progress variable.
| p | should be from 0 to 100. |
| void CxImage::SetRetreiveAllFrames | ( | bool | flag | ) | [inherited] |
| void CxImage::SetTransColor | ( | RGBQUAD | rgb | ) | [inherited] |
Sets the color used for transparency with 24 bpp images. You must call SetTransIndex(0) to enable the effect, SetTransIndex(-1) to disable it.
| void CxImage::SetTransIndex | ( | long | idx | ) | [inherited] |
Sets the index used for transparency with 1, 4 and 8 bpp images. Set to -1 to remove the effect.
| bool CxImage::SetType | ( | DWORD | type | ) | [inherited] |
change image format identifier
| void CxImage::SetXDPI | ( | long | dpi | ) | [inherited] |
Set resolution for TIFF, JPEG, PNG and BMP formats.
| void CxImage::SetYDPI | ( | long | dpi | ) | [inherited] |
Set resolution for TIFF, JPEG, PNG and BMP formats.


Austin via OSCON, A City Analysis
Alright, I’m gonna have some extremely blunt things in this article, with the loaded context that I’ve done extensive studies, analysis, and related research into urban spaces, planning, roadway design, cycling as a mode of transportation, transit, etc. Some of you probably know me well enough to know that, so these comments won’t come as a surprise. It’s all mixed in the tech topics however, and suggestions on how to get more out of a conference like OSCON.
This blog entry should and could be used for informing decisions when traveling for tech events besides just OSCON, but it’s the conference I’m using as a reference point. Some of the suggestions might be a no-brainer, others might add to your notions of what to do and how to travel to these events. Toward the end of this blog entry I’ve broken down these suggestions into: Speaker Adventures, Attendee Adventures, and Staffing Adventures. Before that I’ll cover the low down on things in Austin.
OSCON 2017 Austin - An Attendance Guide and Review
Another OSCON. I think this makes 6 years I’ve attended OSCON. Each having it’s own unique characteristics while maintaining what makes OSCON, OSCON. But before even diving in I’ll add a few specific observations I’ve made at the Austin OSCON 2017:
- OSCON is still one of the largest, if not the largest open source conference in the world. It still appears to have some seriously concrete influence in the industry.
- Even with its size, OSCON seems to be missing a few key elements to bridge connections within the open source world, which I’ll add detail to in a moment.
- OSCON is a great conference to attend for a deluge of great presentations and related material to advance your knowledge on a wide range of topics.
- The Expo Pass, albeit it’s sold for X amount sometimes, is generally worth a solid $0-$50 bucks in my opinion. One can easily get $50 bucks worth out of the Expo Pass even if its just to attend one session (I believe that’s included) and to get into the conference area to mingle and discuss topics of interest with fellow conference goers.
Four Quick Git Tips (AKA Things I Always Forget and Have to Look Up)
Are you ever working in git, then all of a sudden you do a pull or push and boom, you’ve got a request to make a merge text file. Often this pops up as VI or Nano on Linux. But it can depend based on what editor is actually set. Did you know you could set the editor? Obviously you can right? Here’s the details on getting that done in git.
Riding in the Peloton
Over the past few months I’ve been working, somewhat on the down low, as I get settled into Seattle, the daily flow, and life slightly north of Portland. I’ve gotten a solid footing on things now and am ready to announce what exactly I’m up to. Nothing is hugely surprising to anyone I’ve shared a beer or bike ride with in the last half a year, but for those I haven’t had the pleasure, here’s the details.
Thrashing Code Metal Monday for Week of March 13th 2017
Some completely new tunes I’ve been enjoying.
 It’s likely you’ll need one sometime. Well here’s a short code snippet and a review of one of the available UUID libraries available.
The library is avaliable at https://github.com/satori/go.uuid.
With test coverage this library supports the following UUID types. I’ll elaborate on what each of these types are after a code snippet or two.
- Version 1, based on timestamp and MAC address (RFC 4122)
- Version 2, based on timestamp, MAC address and POSIX UID/GID (DCE 1.1)
- Version 3, based on MD5 hashing (RFC 4122)
- Version 4, based on random numbers (RFC 4122)
- Version 5, based on SHA-1 hashing (RFC 4122)
First step. Get the library.
go get github.com/satori/go.uuid
Thrashing Code Metal Monday for Week of March 6th 2017, on Tuesday the 7th!
Obviously it isn’t Monday. But sometimes you go to a show on Sunday and you’re recovering on Monday and writing a blog entry just isn’t a priority. But in that vein, here’s the line up for the Bound by the Road Tour I dived into the pit for this last Sunday!
K’atun > https://www.facebook.com/pg/katunband
Golang Execution on OS-X vs. Linux
Recently I was dorking about with some Go code on OS-X. Just working with it via iTerm 2 and using some basic go run whateverthefile.go
commands and displaying results out the the shell. All was well, and then I dived into some code that used so Go Routines. The code looked something like this.
package main
import (
"time"
"fmt"
)
func say(s string) {
for i := 0; i<5; i++ {
time.Sleep(2 * time.Second)
fmt.Println(s)
}
}
func main() {
go say("1. First thread is running.")
go say(" 2. Second thread is running.")
say(" 3. Thread is running in main.")
fmt.Println("Ended.")
}
Thrashing Code Metal Monday for Week of February 20th, 2017
It’s a holiday, but the thrashing never stops. Here’s some tunes that I’ve had on during my recent #golang experiments.


@(page: String, isLoggedIn: Boolean, userInfo: UserInfo,contactForm: Form[views.formdata.SearchFormData], urlInfo : List[UrlInfo], isSearchResult: Boolean, noEntryForUser: Boolean ) @import views.html.bootstrap3._ @import views.html.helper._ @Main(page, isLoggedIn, userInfo) {
@userInfo.getFirstName, you have not added any entries yet.
Get started now:
@{contactForm("queryData").error.map {error => error.messages}}
Results
| @urlInfo.getUrl() |
Sorry, no entry associated with the entered keyword was found.


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I had need for a timer. I didn't like any of the timers that were available to me, so I wrote one. I wrote it using Vanilla Javascript, location.hash, and a few interesting parts of CSS and HTML5.
All controls are via
location.hash
, also known as the anchor tag.
Created by Dave Jacoby


Co-founded vzaar limited, took the company from initial concept and inception through to acquisition by DaCast Inc. Grew from zero staff and pre-revenue to 20 people and profitability. Led and executed exit process.
Ex ‘big 4’ management consultant with experience across all business and technology lifecycles.


Destiny RPG
Character Sheet
v1.0
Profile
Name
School
Mentor
Destiny
Vision
Quest
Traits
Condition
Body
Spirit
Abilities
Special
Prana
Karma
Gear
Coin


Maritime Bulletin Daily Nov 18 – 19
by Mikhail VoytenkoAccidents
• Yemeni rebels seized Saudi tug, South Korean rig, Red sea
• Three crew in possession of fake certificates, ship detained, Greece
• Aground and Not Under Command vessels Worldwide Alerts (2 ships)
Details only for subscribers.
Annual subscription $750. For annual subscription, contact<EMAIL_ADDRESS>Subscribe if you want to receive accidents news ASAP and in full.


COVID-19
Home
(current)
COVID-19 Tajikistan - Italy REPORT
Novel Coronavirus (COVID-19) cases data provided by JHU CSSE
Italy - 228006
Infections - Tajikistan - 2350
Italy - 32486
Deaths - Tajikistan - 44
Italy - 134560
Recovery - Tajikistan - 470
Back to Tajikistan
Compare To China
Compare to Italy
Compare to Spain


Draw Route
How to?
Click on the map to create vertex point.
Right-Click on the vertex point to remove it.
Use Drag and Drop to move vertex point.

Click on the map to create vertex point.
Right-Click on the vertex point to remove it.
Use Drag and Drop to move vertex point.
Stroke Color
Fill Color
Get Code
Close


Chapter 5 Evaluation of Models
Once we obtain the model with the training data, we need to evaluate it with some new data (testing data).
No Free Lunch theorem In the absence of any knowledge about the prediction problem, no model can be said to be uniformly better than any other
5.1 Building and Validating a Model
We cannot use the the same data for training and testing (it is like evaluating a student with the exercises previously solved in class, the student’s marks will be “optimistic” and we do not know about student capability to generalise the learned concepts).
Therefore, we should, at a minimum, divide the dataset into training and testing, learn the model with the training data and test it with the rest of data as explained next.
5.1.1 Holdout approach
Holdout approach consists of dividing the dataset into training (typically approx. 2/3 of the data) and testing (approx 1/3 of the data). + Problems: Data can be skewed, missing classes, etc. if randomly divided. Stratification ensures that each class is represented with approximately equal proportions (e.g., if data contains approximately 45% of positive cases, the training and testing datasets should maintain similar proportion of positive cases).
Holdout estimate can be made more reliable by repeating the process with different subsamples (repeated holdout method).
The error rates on the different iterations are averaged (overall error rate).
- Usually, part of the data points are used for building the model and the remaining points are used for validating the model. There are several approaches to this process.
- Validation Set approach: it is the simplest method. It consists of randomly dividing the available set of observations into two parts, a training set and a validation set or hold-out set. Usually 2/3 of the data points are used for training and 1/3 is used for testing purposes.
5.1.2 Cross Validation (CV)
k-fold Cross-Validation involves randomly dividing the set of observations into \(k\) groups, or folds, of approximately equal size. One fold is treated as a validation set and the method is trained on the remaining \(k-1\) folds. This procedure is repeated \(k\) times. If \(k\) is equal to \(n\) we are in the previous method.
1st step: split dataset (\(\cal D\)) into \(k\) subsets of approximately equal size \(C_1, \dots, C_k\)
2nd step: we construct a dataset \(D_i = D-C_i\) used for training and test the accuracy of the classifier \(D_i\) on \(C_i\) subset for testing
Having done this for all \(k\) we estimate the accuracy of the method by averaging the accuracy over the \(k\) cross-validation trials
5.1.3 Leave-One-Out Cross-Validation (LOO-CV)
- Leave-One-Out Cross-Validation (LOO-CV): This is a special case of CV. Instead of creating two subsets for training and testing, a single observation is used for the validation set, and the remaining observations make up the training set. This approach is repeated \(n\) times (the total number of observations) and the estimate for the test mean squared error is the average of the \(n\) test estimates.
5.2 Evaluation of Classification Models
The confusion matrix (which can be extended to multiclass problems) is a table that presents the results of a classification algorithm. The following table shows the possible outcomes for binary classification problems:
| \(Act Pos\) | \(Act Neg\) | |
|---|---|---|
| \(Pred Pos\) | \(TP\) | \(FP\) |
| \(Pred Neg\) | \(FN\) | \(TN\) |
where True Positives (\(TP\)) and True Negatives (\(TN\)) are respectively the number of positive and negative instances correctly classified, False Positives (\(FP\)) is the number of negative instances misclassified as positive (also called Type I errors), and False Negatives (\(FN\)) is the number of positive instances misclassified as negative (Type II errors).
From the confusion matrix, we can calculate:
True positive rate, or recall (\(TP_r = recall = TP/TP+FN\)) is the proportion of positive cases correctly classified as belonging to the positive class.
False negative rate (\(FN_r=FN/TP+FN\)) is the proportion of positive cases misclassified as belonging to the negative class.
False positive rate (\(FP_r=FP/FP+TN\)) is the proportion of negative cases misclassified as belonging to the positive class.
True negative rate (\(TN_r=TN/FP+TN\)) is the proportion of negative cases correctly classified as belonging to the negative class.
There is a trade-off between \(FP_r\) and \(FN_r\) as the objective is minimize both metrics (or conversely, maximize the true negative and positive rates). It is possible to combine both metrics into a single figure, predictive \(accuracy\):
\[accuracy = \frac{TP + TN}{TP + TN + FP + FN}\]
to measure performance of classifiers (or the complementary value, the error rate which is defined as \(1-accuracy\))
Precision, fraction of relevant instances among the retrieved instances, \[\frac{TP}{TP+FP}\]
Recall$ (\(sensitivity\) probability of detection, \(PD\)) is the fraction of relevant instances that have been retrieved over total relevant instances, \(\frac{TP}{TP+FN}\)
f-measure is the harmonic mean of precision and recall, \(2 \cdot \frac{precision \cdot recall}{precision + recall}\)
G-mean: \(\sqrt{PD \times Precision}\)
G-mean2: \(\sqrt{PD \times Specificity}\)
J coefficient, \(j-coeff = sensitivity + specificity - 1 = PD-PF\)
A suitable and interesting performance metric for binary classification when data are imbalanced is the Matthew’s Correlation Coefficient (\(MCC\))~:
\[MCC=\frac{TP\times TN - FP\times FN}{\sqrt{(TP+FP)(TP+FN)(TN+FP)(TN+FN)}}\]
\(MCC\) can also be calculated from the confusion matrix. Its range goes from -1 to +1; the closer to one the better as it indicates perfect prediction whereas a value of 0 means that classification is not better than random prediction and negative values mean that predictions are worst than random.
5.2.1 Prediction in probabilistic classifiers
A probabilistic classifier estimates the probability of each of the posible class values given the attribute values of the instance \(P(c|{x})\). Then, given a new instance, \({x}\), the class value with the highest a posteriori probability will be assigned to that new instance (the winner takes all approach):
\(\psi({x}) = argmax_c (P(c|{x}))\)
5.3 Other Metrics used in Software Engineering with Classification
In the domain of defect prediction and when two classes are considered, it is also customary to refer to the probability of detection, (\(pd\)) which corresponds to the True Positive rate (\(TP_{rate}\) or ) as a measure of the goodness of the model, and probability of false alarm (\(pf\)) as performance measures~.
The objective is to find which techniques that maximise \(pd\) and minimise \(pf\). As stated by Menzies et al., the balance between these two measures depends on the project characteristics (e.g. real-time systems vs. information management systems) it is formulated as the Euclidean distance from the sweet spot \(pf=0\) and \(pd=1\) to a pair of \((pf,pd)\).
\[balance=1-\frac{\sqrt{(0-pf^2)+(1-pd^2)}}{\sqrt{2}}\]
It is normalized by the maximum possible distance across the ROC square (\(\sqrt{2}, 2\)), subtracted this value from 1, and expressed it as a percentage.
5.4 Graphical Evaluation
5.4.1 Receiver Operating Characteristic (ROC)
The Receiver Operating Characteristic (\(ROC\))(Fawcett 2006) curve which provides a graphical visualisation of the results.
The Area Under the ROC Curve (AUC) also provides a quality measure between positive and negative rates with a single value.
A simple way to approximate the AUC is with the following equation: \(AUC=\frac{1+TP_{r}-FP_{r}}{2}\)
5.4.2 Precision-Recall Curve (PRC)
Similarly to ROC, another widely used evaluation technique is the Precision-Recall Curve (PRC), which depicts a trade off between precision and recall and can also be summarised into a single value as the Area Under the Precision-Recall Curve (AUPRC)~.
%AUPCR is more accurate than the ROC for testing performances when dealing with imbalanced datasets as well as optimising ROC values does not necessarily optimises AUPR values, i.e., a good classifier in AUC space may not be so good in PRC space. %The weighted average uses weights proportional to class frequencies in the data. %The weighted average is computed by weighting the measure of class (TP rate, precision, recall …) by the proportion of instances there are in that class. Computing the average can be sometimes be misleading. For instance, if class 1 has 100 instances and you achieve a recall of 30%, and class 2 has 1 instance and you achieve recall of 100% (you predicted the only instance correctly), then when taking the average (65%) you will inflate the recall score because of the one instance you predicted correctly. Taking the weighted average will give you 30.7%, which is much more realistic measure of the performance of the classifier.
5.5 Numeric Prediction Evaluation
In the case of defect prediction, it matters the difference between the predicted value and the actual value. Common performance metrics used for numeric prediction are as follows, where \(\hat{y_n}\) represents the predicted value and \(y_n\) the actual one.
Mean Square Error (\(MSE\))
\(MSE = \frac{(\hat{y_1} - y_1)^2 + \ldots +(\hat{y_n} - y_n)^2}{n} = \frac{1}{n}\sum_{i=1}^n(\hat{y_i} - y_i)^2\)
Root mean-squared error (\(RMSE\))
\({RMSE} = \sqrt{\frac{\sum_{t=1}^n (\hat y_t - y)^2}{n}}\)
Mean Absolute Error (\(MAE\))
\(MAE = \frac{|\hat{y_1} - y_1| + \ldots +|\hat{y_n} - y_n|}{n} = \sqrt{\frac{\sum_{t=1}^n |\hat y_t - y|}{n}}\)
Relative Absolute Error (\(RAE\))
\(RAE = \frac{ \sum^N_{i=1} | \hat{\theta}_i - \theta_i | } { \sum^N_{i=1} | \overline{\theta} - \theta_i |}\)
Root Relative-Squared Error (\(RRSE\))
\(RRSE = \sqrt{ \frac{ \sum^N_{i=1} | \hat{\theta}_i - \theta_i | } { \sum^N_{i=1} | \overline{\theta} - \theta_i | } }\)
where \(\hat{\theta}\) is a mean value of \(\theta\).
Relative-Squared r (\(RSE\))
\(\frac{(p_1-a_1)^2 + \ldots +(p_n-a_n)^2}{(a_1-\hat{a})^2 + \ldots + (a_n-\hat{a})^2}\)
where (\(\hat{a}\) is the mean value over the training data)
Relative Absolute Error (\(RAE\))
Correlation Coefficient
Correlation coefficient between two random variables \(X\) and \(Y\) is defined as \(\rho(X,Y) = \frac{{\bf Cov}(X,Y)}{\sqrt{{\bf Var}(X){\bf Var}(Y)}}\). The sample correlation coefficient} \(r\) between two samples \(x_i\) and \(y_j\) is vvdefined as \(r = S_{xy}/\sqrt{S_{xx}S_{yy}}\)
Example: Is there any linear relationship between the effort estimates (\(p_i\)) and actual effort (\(a_i\))?
\(a\|39,43,21,64,57,47,28,75,34,52\)
\(p\|65,78,52,82,92,89,73,98,56,75\)
<-c(39,43,21,64,57,47,28,75,34,52)
p<-c(65,78,52,82,92,89,73,98,56,75)
a#
cor(p,a)
## [1] 0.84
\(R^2\)