The Southern California Machine Learning Symposium is intended to bring together students and faculty to promote machine learning in the southern california region. The workshop serves as a forum for researchers from a variety of fields working on machine learning to share and discuss their latest findings.
Topics to be covered at the symposium include but are not limited to:
Although the symposium will include talks from expert faculty in the above areas, most of the workshop will primarily be focused on student contributions, in the form of contributed talks and posters.
The 2016 SoCal ML symposium is sponsored by Google Research, who will provide a $750 prize for the best presentation
We invite contributions in the form of extended abstracts, which will be lightly reviewed prior to selection for inclusion in the workshop.
Contributions that are selected for inclusion will be presented during a poster session, with some contributions being selected for oral presentation.
We invite 2-page submissions in NIPS format. Contributions should be submitted by October 1 on the workshop's easychair page.
October 1: Paper submission
October 14: Notification
November 18: Workshop
| Morning Sessions | |
|---|---|
| 9:00am | Opening Remarks |
| 9:10am | Keynote Speaker |
| 9:50am | Student Speaker |
| 10:10am | Student Speaker |
| 10:30am | Coffee Break |
| 11:00am | Keynote Speaker |
| 11:40am | Student Speaker |
| 12:00pm | Lunch Break |
| Afternoon Sessions | |
|---|---|
| 1:30pm | Keynote Speaker |
| 2:10pm | Student Speaker |
| 2:30pm | Student Speaker |
| 2:30pm | Student Speaker |
| 2:50pm | Student Speaker |
| 3:10pm | Poster Session |
| 5:00pm | Announcement of Best Presentation Award - Sponsored by Google |
Link to an eventbrite page.
Directions to the Caltech campus can be found here.
We will be offering a number of travel awards to cover the cost of transportation and accommodation at the workshop. Please check here for further details closer to the date.
University of California
San Diego
Caltech
Pasadena
Please send questions and enquiries to yyue@caltech.edu.


Already have an account
Or


One Page site
$400
1 page site (or redesign)
Content Redesign
Basic SEO
Contact Form
Fully Functional Site
$800
5 page site (or redesign)
Content Redesign
Basic SEO
Basic Website Functionality
Contact Forms
Custom Functionality
Site + E-commerce + SEO
$1500
Deluxe Package plus...
SEO Optimization
E-commerce integration
Basic Online Marketing Consulting
Custom Functionality
No Hands $75/mo.
Starter $25/mo.
** No Hands - We manage everything for you
** Starter - We send you a collection of basic training videos each month until you are ready to spread your wings
SEO Boost $50 per page
We go through each page on your site and make sure vital SEO capabilities are optimized on your pages. We will help provide you with content (depending on the size of the page) and images. Also optimize your meta data and connect you to other SEO services to help increase online traffic.
Custom Integration $75-$100
Depending on what kind of integrations or additional functionality, it can vary on price. The complexity of the issue and the set up will vary. With so many different things out there, it is hard to give a firm price, but we will work with you.
CRM Integration $50-$200
We know how important it is to keep everything organized. We work with Deluxe Hubspot and Infusionsoft integration and if you want something else we can totally look into it.
Content Refresh $15 per page
Content is vital to survival. Your online presence depends on the value you can give to your visitors. All the pages That have 300 words or less we will help you with your content. For more extensive content work we can customize our pricing to help you.
Custom Bootstrap Site (not a CMS like Wordpress or Wix) $1000 - $2000
With a custom bootstrap site, you get to have all the design customization you want. Keep in mind that the functionality for a lot of the custom code has to be coded by hand and certain plug-ins are not available or more expensive. This is for you only if you have a very specific design in mind or if you are looking for something more complex and are wanting to build on it afterwards with a developer.
Let me tell you why lil stunna.  Sure you're in the business world to make money and help other people(hopefully that's how you feel...) ,but we don't want to rip you off, we want to help you. Therefore, we take our time with our "No BS Pricing" and tell you every step of the way what is happening and what we are doing to ensure you get a good looking site. We are flexible as far as payments, designing, and services, so if you are unsure about paying all at once, or are wanting more serivces, let us know.
Some businesses can get away with one page sites, depending on who your audience is and the amount of content you should provide for your clients. Either way we will let you know what your best options are. We will design it and make sure it is something you are happy with and help you develop/fiind content and put your site up live with your own domain and a year of hosting. Along with a month of consulting.
We use Wordpress as our default tool for building out websites, mostly because it is easy enough to use on your own. We build it then teach you the basics of what you need to know to run it yourself. We offer a starter and no hands maintenance kits, but ultimately we want you to feel free to move on with your life after the site. We will give you your own domain (unless you already have one) and a year of hosting.
We can use Wix or Wordpress for the design of your site and pair it with another service to include e-commerce abilities. We use our law of SEO to increase sales and make your site easier to read for search engines. We also take a look at content and meta data to optimize keywords and target the audience you are searching for. We also will supply you with a domain and a year of hosting. Usually with e-commerce, there are monthly fees that do apply, but we take it into account with our maintanence packages.
No Hands
No hands is exactly what it sounds like, it means you don't have to worry about it at all. You sleep while we work. We will manage your pages, fix bugs, add specific content or pages to your site, manage e-commerce if you got it, roll with the updates and offer consulting and basic SEO maintenance.
Starter
Starter means that you want to eventually taper off the maintenance and run your site on your own. We send you (depending on your plan) a number of training videos. They will allow you to do all the normal functionality of upkeeping on your site.
That's totally fine, but we do want to let you know ahead of time, that a website is a lot like a house. You essentially buy property (domain/website URL name), the actual house (files/hosting), and then the things inside the house (SEO/content/functionality). Just like a house you have maintainence costs no matter what so if you want to take it on yourself, you can. The only thing we try and make sure of is that if something breaks or you want to do more, not everyone is a plumber or electrician and things can get sticky really fast so if you don't feel comfortable with that, we'll do it no sweat.


Past Conferences Below are the links to view previous conferences hosted by ACM-W. May 10, 2019 - CUNY CELEBRATES WOMEN IN COMPUTING (CUNYCWiC), An ACM Event View ACM-W 2019 Conference Highlights View ACM-W 2019 Conference Program


Sydney NSW
|
|
| Enclosed By |
|
|
| Place Encloses |
References
-
Taber, Deborah
(1800-01-18)
-
Taber, George
(1800-11-21)
-
Taber, Baby Girl
(1803-05-16)
-
Taber, Charlotte
(1804-10-17)
-
Taber, Charlotte
(1804-11-27)
-
Taber, Maria
(1806-08-09)
-
Taber, Ann
(1809-07-20)
-
Taber, Ann
(1809-07-21)
-
Taber, John
(1812-05-05)
-
Taber, John
(1812-05-07)
-
Taber, Maria
(1820-08-29)
-
Taber, Frances
(1829-02-10)
-
Melville, Harding Ernest
(1846)
-
Medhurst, Frances Sarah
(1849-10-25)
-
Lakin, William Henry
(1855)
-
Pamplin, Elizabeth (nee Lloyd)
(1855)
-
Family of Lakin, William Henry and Pamplin, Elizabeth (nee Lloyd)
-
Lakin, William Henry
-
Pamplin, Elizabeth (nee Lloyd)
-
Cook, Rose Alice "Alice"
(1856-02-28)
-
Goddard, Ellen "Nellie"
(1859)
-
Goddard, Frances
(1865)
-
Bryan, Sarah
(1869)
-
Family of Gazzard, Simeon and Bryan, Sarah
-
Gazzard, Simeon
-
Bryan, Sarah
-
Gazzard, Simeon
(1869)
-
Taber, Thomas
(1869-11-21)
-
Taber, Selina
(1876)
-
Family of Lakin, Sydney Herbert and Fisher, Susan
-
Lakin, Sydney Herbert
-
Fisher, Susan
-
Lakin, Sydney Herbert
(1882)
-
Fisher, Susan
(1882)
-
Wenholz, George Henry
(1883)
-
Shettle, Patience G.
(1883)
-
Family of Wenholz, George Henry and Shettle, Patience G.
-
Wenholz, George Henry
-
Shettle, Patience G.
-
Smith, Alice May
(1883-08-25)
-
Lakin, Sydney Herbert
(1888)
-
Cambourn, Hubert married Madeline
(1891-07-06)
-
Parsons, Henry Thomas
(1892-05-18)
-
Family of Parsons, Henry Thomas and Forrester, Isabella Jane
-
Forrester, Isabella Jane
-
Parsons, Henry Thomas
-
Forrester, Isabella Jane
(1892-05-18)
-
Ashcroft, Frances Rachael M.
(1898)
-
Cocks, Harold S.
(1898)
-
Family of Cocks, Harold S. and Ashcroft, Frances Rachael M.
-
Ashcroft, Frances Rachael M.
-
Cocks, Harold S.
-
Cambourn, Cecil
(1899-09-19)
-
Newling, Leslie Morton of Dalley St, P'matta
(1901)
-
Crea, Elizabeth Jane Mc
(1901)
-
Family of Newling, Leslie Morton of Dalley St, P'matta and Crea, Elizabeth Jane Mc
-
Crea, Elizabeth Jane Mc
-
Newling, Leslie Morton of Dalley St, P'matta
-
Aherne, Dermot Patrick
(1907-02-14)
-
Taber, Thomas (Farmer)
(1907-09-26)
-
Mills, Charlie Henry
(1919)
-
Family of Mills, Charlie Henry
-
Mills, Charlie Henry
-
Ashcroft, Margaret Jane
(1924-04-11)
-
Magrin, Neville (Peter)
(1927)
-
Cambourn, Frank William
(1927-05-24)
-
Kent, Ralph Kenneth "Ken"
(1928-02-24)
-
McGowan, John Colin
(1928-06-25)
-
Stammers, Charlotte
(1944-09-06)
-
Combe, Richard Arthur
(1947-02-13)
-
Gilchrist, Arthur Gilbert
(1950-04-22)
-
Mills, Arthur Leslie
(1960)
-
Pickford, Deborah Dorothy
(2004-02-00)
-
Goddard, George
(about 1856)


Properties
-
Class : ikube.model.IndexableSvn
-
Field name : username
-
Lucene field : true
-
Field description : The user name for the login to the repository
-
-
Field name : password
-
Lucene field : true
-
Field description : The password for the login to the repository
-
-
Field name : url
-
Lucene field : true
-
Field description : The url to the svn repository
-
-
Field name : filePath
-
Lucene field : true
-
Field description : The initial file path in the repository
-
-
Field name : excludedPattern
-
Lucene field : true
-
Field description : The resources that should be ignored, could be part of the path
-
-
Field name : relativeFilePath
-
Lucene field : true
-
Field description :
-
-
Field name : author
-
Lucene field : true
-
Field description :
-
-
Field name : commitComment
-
Lucene field : true
-
Field description :
-
-
Field name : revisionDate
-
Lucene field : true
-
Field description :
-
-
Field name : resourceName
-
Lucene field : true
-
Field description :
-
-
Field name : revision
-
Lucene field : true
-
Field description :
-
-
Field name : size
-
Lucene field : true
-
Field description :
-
-
Field name : contents
-
Lucene field : true
-
Field description :
-
-
Field name : name
-
Lucene field : false
-
Field description : The name of this indexable
-
-
Field name : address
-
Lucene field : false
-
Field description : Whether this is a geospatial address field
-
-
Field name : stored
-
Lucene field : false
-
Field description : Whether this value should be stored in the index
-
-
Field name : analyzed
-
Lucene field : false
-
Field description : Whether this field should be analyzed for stemming and so on
-
-
Field name : vectored
-
Lucene field : false
-
Field description : Whether this field should be vectored in the index
-
-
Field name : omitNorms
-
Lucene field : false
-
Field description : Whether this field should have the normalization omitted, i.e. the tf-idf omitted, meaning that longer documents will score higher if the norms are omitted(i.e. they are not written to the index)
-
-
Field name : tokenized
-
Lucene field : false
-
Field description : Whether this field should have the terms tokenized
-
-
Field name : boost
-
Lucene field : false
-
Field description : The boost to give the field at index time
-
-
Field name : maxExceptions
-
Lucene field : false
-
Field description : This is the maximum exceptions during indexing before the indexing is stopped
-
-
Field name : threads
-
Lucene field : false
-
Field description : This is the number of threads that should be spawned for this indexable
-
-
-
Class : ikube.model.Snapshot
-
Class : ikube.model.IndexableFileSystemLog
-
Field name : path
-
Lucene field : false
-
Field description : This is the path to the log folder
-
-
Field name : fileFieldName
-
Lucene field : false
-
Field description : This is the file name field in the Lucene index
-
-
Field name : pathFieldName
-
Lucene field : false
-
Field description : This is the path name field in the Lucene index
-
-
Field name : lineFieldName
-
Lucene field : false
-
Field description : This is the line number field in the Lucene index
-
-
Field name : contentFieldName
-
Lucene field : false
-
Field description : This is the content field in the Lucene index
-
-
Field name : name
-
Lucene field : false
-
Field description : The name of this indexable
-
-
Field name : address
-
Lucene field : false
-
Field description : Whether this is a geospatial address field
-
-
Field name : stored
-
Lucene field : false
-
Field description : Whether this value should be stored in the index
-
-
Field name : analyzed
-
Lucene field : false
-
Field description : Whether this field should be analyzed for stemming and so on
-
-
Field name : vectored
-
Lucene field : false
-
Field description : Whether this field should be vectored in the index
-
-
Field name : omitNorms
-
Lucene field : false
-
Field description : Whether this field should have the normalization omitted, i.e. the tf-idf omitted, meaning that longer documents will score higher if the norms are omitted(i.e. they are not written to the index)
-
-
Field name : tokenized
-
Lucene field : false
-
Field description : Whether this field should have the terms tokenized
-
-
Field name : boost
-
Lucene field : false
-
Field description : The boost to give the field at index time
-
-
Field name : maxExceptions
-
Lucene field : false
-
Field description : This is the maximum exceptions during indexing before the indexing is stopped
-
-
Field name : threads
-
Lucene field : false
-
Field description : This is the number of threads that should be spawned for this indexable
-
-
-
Class : ikube.model.geospatial.GeoZone
-
Class : ikube.model.IndexContext
-
Field name : open
-
Lucene field : false
-
Field description : Whether this index is opened, for transport in the grid as the writers and searchers are not serializable
-
-
Field name : indexWriters
-
Lucene field : false
-
Field description : The currently opened index writers, which can be null of course
-
-
Field name : multiSearcher
-
Lucene field : false
-
Field description : The index searcher for the index, opened with the correct parameters and analyzer
-
-
Field name : analyzer
-
Lucene field : false
-
Field description : The analyzer that was used for indexing this document set and is consequently used for searching
-
-
Field name : hashes
-
Lucene field : false
-
Field description : An arbitrary collection of hashes for currently indexed documents, for disarding duplicates and delta indexing
-
-
Field name : maxAge
-
Lucene field : false
-
Field description : This is the maximum age that the index can become before it is re-indexed
-
-
Field name : throttle
-
Lucene field : false
-
Field description : This is the throttle in mili seconds that will slow down the indexing
-
-
Field name : mergeFactor
-
Lucene field : false
-
Field description : The number of documents to keep in the segments before they are merged to the main file during indexing
-
-
Field name : bufferedDocs
-
Lucene field : false
-
Field description : The number of documents to keep in memory before writing to the file
-
-
Field name : bufferSize
-
Lucene field : false
-
Field description : The size of the memory Lucene can occupy before the documents are written to the file
-
-
Field name : maxFieldLength
-
Lucene field : false
-
Field description : The maximum length of a field in the Lucene index
-
-
Field name : compoundFile
-
Lucene field : false
-
Field description : Whether this index should be in a compound file format
-
-
Field name : batchSize
-
Lucene field : false
-
Field description : The batch size of the category set for database indexing
-
-
Field name : internetBatchSize
-
Lucene field : false
-
Field description : The batch size of urls for the crawler
-
-
Field name : maxReadLength
-
Lucene field : false
-
Field description : The maximum read length for a document
-
-
Field name : indexDirectoryPath
-
Lucene field : false
-
Field description : The absolute or relative path to the directory where the index will be written
-
-
Field name : indexDirectoryPathBackup
-
Lucene field : false
-
Field description : The absolute or relative path to the directory where the index will be backed up
-
-
Field name : indexing
-
Lucene field : false
-
Field description : This flag indicates whether the index is being generated currently
-
-
Field name : delta
-
Lucene field : false
-
Field description : This flag indicates whether the index should be delta indexed, i.e. no new index just the changes n the resources
-
-
Field name : numDocsForSearchers
-
Lucene field : false
-
Field description : The number of documents in the currently opened searcher
-
-
Field name : snapshot
-
Lucene field : false
-
Field description : The latest snapshot for the index with static details for it, like size on disk etc.
-
-
Field name : snapshots
-
Lucene field : false
-
Field description : The snapshot for this index, in reverse chronological order
-
-
Field name : name
-
Lucene field : false
-
Field description : The name of this indexable
-
-
Field name : address
-
Lucene field : false
-
Field description : Whether this is a geospatial address field
-
-
Field name : stored
-
Lucene field : false
-
Field description : Whether this value should be stored in the index
-
-
Field name : analyzed
-
Lucene field : false
-
Field description : Whether this field should be analyzed for stemming and so on
-
-
Field name : vectored
-
Lucene field : false
-
Field description : Whether this field should be vectored in the index
-
-
Field name : omitNorms
-
Lucene field : false
-
Field description : Whether this field should have the normalization omitted, i.e. the tf-idf omitted, meaning that longer documents will score higher if the norms are omitted(i.e. they are not written to the index)
-
-
Field name : tokenized
-
Lucene field : false
-
Field description : Whether this field should have the terms tokenized
-
-
Field name : boost
-
Lucene field : false
-
Field description : The boost to give the field at index time
-
-
Field name : maxExceptions
-
Lucene field : false
-
Field description : This is the maximum exceptions during indexing before the indexing is stopped
-
-
Field name : threads
-
Lucene field : false
-
Field description : This is the number of threads that should be spawned for this indexable
-
-
-
Class : ikube.model.IndexableDataSource
-
Field name : allColumns
-
Lucene field : false
-
Field description : This flag is whether to index all the columns in the database, default is true
-
-
Field name : excludedTablePatterns
-
Lucene field : false
-
Field description : This is a delimiter seperated list of patterns that will exclude tables from being indexed
-
-
Field name : name
-
Lucene field : false
-
Field description : The name of this indexable
-
-
Field name : address
-
Lucene field : false
-
Field description : Whether this is a geospatial address field
-
-
Field name : stored
-
Lucene field : false
-
Field description : Whether this value should be stored in the index
-
-
Field name : analyzed
-
Lucene field : false
-
Field description : Whether this field should be analyzed for stemming and so on
-
-
Field name : vectored
-
Lucene field : false
-
Field description : Whether this field should be vectored in the index
-
-
Field name : omitNorms
-
Lucene field : false
-
Field description : Whether this field should have the normalization omitted, i.e. the tf-idf omitted, meaning that longer documents will score higher if the norms are omitted(i.e. they are not written to the index)
-
-
Field name : tokenized
-
Lucene field : false
-
Field description : Whether this field should have the terms tokenized
-
-
Field name : boost
-
Lucene field : false
-
Field description : The boost to give the field at index time
-
-
Field name : maxExceptions
-
Lucene field : false
-
Field description : This is the maximum exceptions during indexing before the indexing is stopped
-
-
Field name : threads
-
Lucene field : false
-
Field description : This is the number of threads that should be spawned for this indexable
-
-
-
Class : ikube.model.Url
-
Class : ikube.model.geospatial.GeoCountry
-
Class : ikube.model.Context
-
Class : ikube.model.IndexableInternet
-
Field name : url
-
Lucene field : false
-
Field description : This is the primary url that will be crawled
-
-
Field name : loginUrl
-
Lucene field : false
-
Field description : This is the url to the login page if it is a protected site
-
-
Field name : userid
-
Lucene field : false
-
Field description : This is the userid to login to the site
-
-
Field name : password
-
Lucene field : false
-
Field description : This is the password to login to the site
-
-
Field name : internetBatchSize
-
Lucene field : false
-
Field description : This is the size that the batches of urls will be per thread
-
-
Field name : excludedPattern
-
Lucene field : false
-
Field description : This is is a pattern that will be appled to exclude any urls, i.e. urls that should not be crawled, like confidential pages etc.
-
-
Field name : timeout
-
Lucene field : false
-
Field description : This is the length of time that the crawler will wait for a particular page to be delivered
-
-
Field name : titleFieldName
-
Lucene field : false
-
Field description : This is the name of the title field in the Lucene index
-
-
Field name : idFieldName
-
Lucene field : false
-
Field description : This is the name of the id field in the Lucene index
-
-
Field name : contentFieldName
-
Lucene field : false
-
Field description : This is the name of the content field int he Lucene index
-
-
Field name : maxReadLength
-
Lucene field : false
-
Field description : This is the maximum length of bytes that will be read from the input stream
-
-
Field name : name
-
Lucene field : false
-
Field description : The name of this indexable
-
-
Field name : address
-
Lucene field : false
-
Field description : Whether this is a geospatial address field
-
-
Field name : stored
-
Lucene field : false
-
Field description : Whether this value should be stored in the index
-
-
Field name : analyzed
-
Lucene field : false
-
Field description : Whether this field should be analyzed for stemming and so on
-
-
Field name : vectored
-
Lucene field : false
-
Field description : Whether this field should be vectored in the index
-
-
Field name : omitNorms
-
Lucene field : false
-
Field description : Whether this field should have the normalization omitted, i.e. the tf-idf omitted, meaning that longer documents will score higher if the norms are omitted(i.e. they are not written to the index)
-
-
Field name : tokenized
-
Lucene field : false
-
Field description : Whether this field should have the terms tokenized
-
-
Field name : boost
-
Lucene field : false
-
Field description : The boost to give the field at index time
-
-
Field name : maxExceptions
-
Lucene field : false
-
Field description : This is the maximum exceptions during indexing before the indexing is stopped
-
-
Field name : threads
-
Lucene field : false
-
Field description : This is the number of threads that should be spawned for this indexable
-
-
-
Class : ikube.model.geospatial.GeoCity
-
Class : ikube.model.File
-
Class : ikube.model.IndexableFileSystemCsv
-
Field name : path
-
Lucene field : false
-
Field description : This is the path to the folder where the files to be indexed are
-
-
Field name : excludedPattern
-
Lucene field : false
-
Field description : This is a pattern that will be applied to the file name and path to exclude resources that are not to be indexed
-
-
Field name : includedPattern
-
Lucene field : false
-
Field description : This is a pattern that will be applied to the name and path to specifically include resources that are to be included in the index
-
-
Field name : maxReadLength
-
Lucene field : false
-
Field description : This is the maximum read length that will be read from a file. This is required where files are very large and need to be read into memory completely
-
-
Field name : nameFieldName
-
Lucene field : true
-
Field description : This is the file name field in the Lucene index
-
-
Field name : pathFieldName
-
Lucene field : true
-
Field description : This is the name of the path field in the Lucene index
-
-
Field name : lastModifiedFieldName
-
Lucene field : true
-
Field description : This is the name of the last modified field in the Lucene index
-
-
Field name : contentFieldName
-
Lucene field : true
-
Field description : This is the name of the content field in the Lucene index
-
-
Field name : lengthFieldName
-
Lucene field : true
-
Field description : This is the name of the length field in the Lucene index
-
-
Field name : batchSize
-
Lucene field : true
-
Field description : This is the name of the batch size for files, i.e. how many files each thread will batch, not read in one shot, typical would be 1000
-
-
Field name : unpackZips
-
Lucene field : true
-
Field description : Whether to unpack the zip files found, this is deprecated and done automatically by reading in the zips and jars
-
-
Field name : name
-
Lucene field : false
-
Field description : The name of this indexable
-
-
Field name : address
-
Lucene field : false
-
Field description : Whether this is a geospatial address field
-
-
Field name : stored
-
Lucene field : false
-
Field description : Whether this value should be stored in the index
-
-
Field name : analyzed
-
Lucene field : false
-
Field description : Whether this field should be analyzed for stemming and so on
-
-
Field name : vectored
-
Lucene field : false
-
Field description : Whether this field should be vectored in the index
-
-
Field name : omitNorms
-
Lucene field : false
-
Field description : Whether this field should have the normalization omitted, i.e. the tf-idf omitted, meaning that longer documents will score higher if the norms are omitted(i.e. they are not written to the index)
-
-
Field name : tokenized
-
Lucene field : false
-
Field description : Whether this field should have the terms tokenized
-
-
Field name : boost
-
Lucene field : false
-
Field description : The boost to give the field at index time
-
-
Field name : maxExceptions
-
Lucene field : false
-
Field description : This is the maximum exceptions during indexing before the indexing is stopped
-
-
Field name : threads
-
Lucene field : false
-
Field description : This is the number of threads that should be spawned for this indexable
-
-
-
Class : ikube.model.IndexableAudio
-
Field name : name
-
Lucene field : false
-
Field description : The name of this indexable
-
-
Field name : address
-
Lucene field : false
-
Field description : Whether this is a geospatial address field
-
-
Field name : stored
-
Lucene field : false
-
Field description : Whether this value should be stored in the index
-
-
Field name : analyzed
-
Lucene field : false
-
Field description : Whether this field should be analyzed for stemming and so on
-
-
Field name : vectored
-
Lucene field : false
-
Field description : Whether this field should be vectored in the index
-
-
Field name : omitNorms
-
Lucene field : false
-
Field description : Whether this field should have the normalization omitted, i.e. the tf-idf omitted, meaning that longer documents will score higher if the norms are omitted(i.e. they are not written to the index)
-
-
Field name : tokenized
-
Lucene field : false
-
Field description : Whether this field should have the terms tokenized
-
-
Field name : boost
-
Lucene field : false
-
Field description : The boost to give the field at index time
-
-
Field name : maxExceptions
-
Lucene field : false
-
Field description : This is the maximum exceptions during indexing before the indexing is stopped
-
-
Field name : threads
-
Lucene field : false
-
Field description : This is the number of threads that should be spawned for this indexable
-
-
-
Class : ikube.model.IndexableTweets
-
Field name : consumerKey
-
Lucene field : false
-
Field description : This is the consumer key for the OAuth security
-
-
Field name : consumerSecret
-
Lucene field : false
-
Field description : This is the consumer secret key for the OAuth security
-
-
Field name : token
-
Lucene field : false
-
Field description : This is the token for the OAuth security
-
-
Field name : tokenSecret
-
Lucene field : false
-
Field description : This is the token secret for the OAuth security
-
-
Field name : textField
-
Lucene field : false
-
Field description : This is the text field name of the tweet in the Lucene index
-
-
Field name : createdAtField
-
Lucene field : false
-
Field description : This is the date created field name of the tweet in the Lucene index
-
-
Field name : fromUserField
-
Lucene field : false
-
Field description : This is the user name field name of the tweet in the Lucene index
-
-
Field name : locationField
-
Lucene field : false
-
Field description : This is the location/address field name of the tweet in the Lucene index when tweeted, could be different from the users actual location when registering
-
-
Field name : userLocationField
-
Lucene field : false
-
Field description : ?
-
-
Field name : userNameField
-
Lucene field : false
-
Field description : ?
-
-
Field name : userScreenNameField
-
Lucene field : false
-
Field description : ?
-
-
Field name : userTimeZoneField
-
Lucene field : false
-
Field description : ?
-
-
Field name : userUtcOffsetField
-
Lucene field : false
-
Field description : ?
-
-
Field name : userLanguageField
-
Lucene field : false
-
Field description : ?
-
-
Field name : persistTweets
-
Lucene field : false
-
Field description : ?
-
-
Field name : clones
-
Lucene field : false
-
Field description : The number of times to clone the tweets for volume simulation
-
-
Field name : name
-
Lucene field : false
-
Field description : The name of this indexable
-
-
Field name : address
-
Lucene field : false
-
Field description : Whether this is a geospatial address field
-
-
Field name : stored
-
Lucene field : false
-
Field description : Whether this value should be stored in the index
-
-
Field name : analyzed
-
Lucene field : false
-
Field description : Whether this field should be analyzed for stemming and so on
-
-
Field name : vectored
-
Lucene field : false
-
Field description : Whether this field should be vectored in the index
-
-
Field name : omitNorms
-
Lucene field : false
-
Field description : Whether this field should have the normalization omitted, i.e. the tf-idf omitted, meaning that longer documents will score higher if the norms are omitted(i.e. they are not written to the index)
-
-
Field name : tokenized
-
Lucene field : false
-
Field description : Whether this field should have the terms tokenized
-
-
Field name : boost
-
Lucene field : false
-
Field description : The boost to give the field at index time
-
-
Field name : maxExceptions
-
Lucene field : false
-
Field description : This is the maximum exceptions during indexing before the indexing is stopped
-
-
Field name : threads
-
Lucene field : false
-
Field description : This is the number of threads that should be spawned for this indexable
-
-
-
Class : ikube.model.IndexableFileSystem
-
Field name : path
-
Lucene field : false
-
Field description : This is the path to the folder where the files to be indexed are
-
-
Field name : excludedPattern
-
Lucene field : false
-
Field description : This is a pattern that will be applied to the file name and path to exclude resources that are not to be indexed
-
-
Field name : includedPattern
-
Lucene field : false
-
Field description : This is a pattern that will be applied to the name and path to specifically include resources that are to be included in the index
-
-
Field name : maxReadLength
-
Lucene field : false
-
Field description : This is the maximum read length that will be read from a file. This is required where files are very large and need to be read into memory completely
-
-
Field name : nameFieldName
-
Lucene field : true
-
Field description : This is the file name field in the Lucene index
-
-
Field name : pathFieldName
-
Lucene field : true
-
Field description : This is the name of the path field in the Lucene index
-
-
Field name : lastModifiedFieldName
-
Lucene field : true
-
Field description : This is the name of the last modified field in the Lucene index
-
-
Field name : contentFieldName
-
Lucene field : true
-
Field description : This is the name of the content field in the Lucene index
-
-
Field name : lengthFieldName
-
Lucene field : true
-
Field description : This is the name of the length field in the Lucene index
-
-
Field name : batchSize
-
Lucene field : true
-
Field description : This is the name of the batch size for files, i.e. how many files each thread will batch, not read in one shot, typical would be 1000
-
-
Field name : unpackZips
-
Lucene field : true
-
Field description : Whether to unpack the zip files found, this is deprecated and done automatically by reading in the zips and jars
-
-
Field name : name
-
Lucene field : false
-
Field description : The name of this indexable
-
-
Field name : address
-
Lucene field : false
-
Field description : Whether this is a geospatial address field
-
-
Field name : stored
-
Lucene field : false
-
Field description : Whether this value should be stored in the index
-
-
Field name : analyzed
-
Lucene field : false
-
Field description : Whether this field should be analyzed for stemming and so on
-
-
Field name : vectored
-
Lucene field : false
-
Field description : Whether this field should be vectored in the index
-
-
Field name : omitNorms
-
Lucene field : false
-
Field description : Whether this field should have the normalization omitted, i.e. the tf-idf omitted, meaning that longer documents will score higher if the norms are omitted(i.e. they are not written to the index)
-
-
Field name : tokenized
-
Lucene field : false
-
Field description : Whether this field should have the terms tokenized
-
-
Field name : boost
-
Lucene field : false
-
Field description : The boost to give the field at index time
-
-
Field name : maxExceptions
-
Lucene field : false
-
Field description : This is the maximum exceptions during indexing before the indexing is stopped
-
-
Field name : threads
-
Lucene field : false
-
Field description : This is the number of threads that should be spawned for this indexable
-
-
-
Class : ikube.model.IndexableEmail
-
Field name : idField
-
Lucene field : false
-
Field description : This is the name of the id field in the Lucene index
-
-
Field name : titleField
-
Lucene field : false
-
Field description : This is the name of the title field in the Lucene index
-
-
Field name : contentField
-
Lucene field : false
-
Field description : This is the namd of the content field in the Lucene index
-
-
Field name : mailHost
-
Lucene field : false
-
Field description : The url where the mail is hosted, i.e. the Imap or Pop server
-
-
Field name : username
-
Lucene field : false
-
Field description : The user name of the mail account
-
-
Field name : password
-
Lucene field : false
-
Field description : The password for the mail account
-
-
Field name : port
-
Lucene field : false
-
Field description : The port number of the mail account
-
-
Field name : protocol
-
Lucene field : false
-
Field description : The protocol of the account, Imap or Pop3 for example
-
-
Field name : secureSocketLayer
-
Lucene field : false
-
Field description : Whether to use SSL for the mail access
-
-
Field name : name
-
Lucene field : false
-
Field description : The name of this indexable
-
-
Field name : address
-
Lucene field : false
-
Field description : Whether this is a geospatial address field
-
-
Field name : stored
-
Lucene field : false
-
Field description : Whether this value should be stored in the index
-
-
Field name : analyzed
-
Lucene field : false
-
Field description : Whether this field should be analyzed for stemming and so on
-
-
Field name : vectored
-
Lucene field : false
-
Field description : Whether this field should be vectored in the index
-
-
Field name : omitNorms
-
Lucene field : false
-
Field description : Whether this field should have the normalization omitted, i.e. the tf-idf omitted, meaning that longer documents will score higher if the norms are omitted(i.e. they are not written to the index)
-
-
Field name : tokenized
-
Lucene field : false
-
Field description : Whether this field should have the terms tokenized
-
-
Field name : boost
-
Lucene field : false
-
Field description : The boost to give the field at index time
-
-
Field name : maxExceptions
-
Lucene field : false
-
Field description : This is the maximum exceptions during indexing before the indexing is stopped
-
-
Field name : threads
-
Lucene field : false
-
Field description : This is the number of threads that should be spawned for this indexable
-
-
-
Class : ikube.model.geospatial.GeoAltName
-
Class : ikube.model.IndexableColumn
-
Field name : fieldName
-
Lucene field : true
-
Field description : This is the name of the field in the Lucene index
-
-
Field name : hashed
-
Lucene field : true
-
Field description : Whether the data from the column is hashed before adding to the document. Typically this is when the data should be numeric, or at least searchable numerically but is actually a string or alphanumeric.
-
-
Field name : name
-
Lucene field : false
-
Field description : The name of this indexable
-
-
Field name : address
-
Lucene field : false
-
Field description : Whether this is a geospatial address field
-
-
Field name : stored
-
Lucene field : false
-
Field description : Whether this value should be stored in the index
-
-
Field name : analyzed
-
Lucene field : false
-
Field description : Whether this field should be analyzed for stemming and so on
-
-
Field name : vectored
-
Lucene field : false
-
Field description : Whether this field should be vectored in the index
-
-
Field name : omitNorms
-
Lucene field : false
-
Field description : Whether this field should have the normalization omitted, i.e. the tf-idf omitted, meaning that longer documents will score higher if the norms are omitted(i.e. they are not written to the index)
-
-
Field name : tokenized
-
Lucene field : false
-
Field description : Whether this field should have the terms tokenized
-
-
Field name : boost
-
Lucene field : false
-
Field description : The boost to give the field at index time
-
-
Field name : maxExceptions
-
Lucene field : false
-
Field description : This is the maximum exceptions during indexing before the indexing is stopped
-
-
Field name : threads
-
Lucene field : false
-
Field description : This is the number of threads that should be spawned for this indexable
-
-
-
Class : ikube.model.Search
-
Class : ikube.model.Indexable
-
Field name : name
-
Lucene field : false
-
Field description : The name of this indexable
-
-
Field name : address
-
Lucene field : false
-
Field description : Whether this is a geospatial address field
-
-
Field name : stored
-
Lucene field : false
-
Field description : Whether this value should be stored in the index
-
-
Field name : analyzed
-
Lucene field : false
-
Field description : Whether this field should be analyzed for stemming and so on
-
-
Field name : vectored
-
Lucene field : false
-
Field description : Whether this field should be vectored in the index
-
-
Field name : omitNorms
-
Lucene field : false
-
Field description : Whether this field should have the normalization omitted, i.e. the tf-idf omitted, meaning that longer documents will score higher if the norms are omitted(i.e. they are not written to the index)
-
-
Field name : tokenized
-
Lucene field : false
-
Field description : Whether this field should have the terms tokenized
-
-
Field name : boost
-
Lucene field : false
-
Field description : The boost to give the field at index time
-
-
Field name : maxExceptions
-
Lucene field : false
-
Field description : This is the maximum exceptions during indexing before the indexing is stopped
-
-
Field name : threads
-
Lucene field : false
-
Field description : This is the number of threads that should be spawned for this indexable
-
-
-
Class : ikube.model.AnalyzerInfo
-
Class : ikube.model.geospatial.GeoName
-
Class : ikube.model.IndexableFileSystemWiki
-
Field name : maxRevisions
-
Lucene field : false
-
Field description : This is the maximum documents that will be read from the source before the indexing terminates
-
-
Field name : path
-
Lucene field : false
-
Field description : This is the path to the folder where the files to be indexed are
-
-
Field name : excludedPattern
-
Lucene field : false
-
Field description : This is a pattern that will be applied to the file name and path to exclude resources that are not to be indexed
-
-
Field name : includedPattern
-
Lucene field : false
-
Field description : This is a pattern that will be applied to the name and path to specifically include resources that are to be included in the index
-
-
Field name : maxReadLength
-
Lucene field : false
-
Field description : This is the maximum read length that will be read from a file. This is required where files are very large and need to be read into memory completely
-
-
Field name : nameFieldName
-
Lucene field : true
-
Field description : This is the file name field in the Lucene index
-
-
Field name : pathFieldName
-
Lucene field : true
-
Field description : This is the name of the path field in the Lucene index
-
-
Field name : lastModifiedFieldName
-
Lucene field : true
-
Field description : This is the name of the last modified field in the Lucene index
-
-
Field name : contentFieldName
-
Lucene field : true
-
Field description : This is the name of the content field in the Lucene index
-
-
Field name : lengthFieldName
-
Lucene field : true
-
Field description : This is the name of the length field in the Lucene index
-
-
Field name : batchSize
-
Lucene field : true
-
Field description : This is the name of the batch size for files, i.e. how many files each thread will batch, not read in one shot, typical would be 1000
-
-
Field name : unpackZips
-
Lucene field : true
-
Field description : Whether to unpack the zip files found, this is deprecated and done automatically by reading in the zips and jars
-
-
Field name : name
-
Lucene field : false
-
Field description : The name of this indexable
-
-
Field name : address
-
Lucene field : false
-
Field description : Whether this is a geospatial address field
-
-
Field name : stored
-
Lucene field : false
-
Field description : Whether this value should be stored in the index
-
-
Field name : analyzed
-
Lucene field : false
-
Field description : Whether this field should be analyzed for stemming and so on
-
-
Field name : vectored
-
Lucene field : false
-
Field description : Whether this field should be vectored in the index
-
-
Field name : omitNorms
-
Lucene field : false
-
Field description : Whether this field should have the normalization omitted, i.e. the tf-idf omitted, meaning that longer documents will score higher if the norms are omitted(i.e. they are not written to the index)
-
-
Field name : tokenized
-
Lucene field : false
-
Field description : Whether this field should have the terms tokenized
-
-
Field name : boost
-
Lucene field : false
-
Field description : The boost to give the field at index time
-
-
Field name : maxExceptions
-
Lucene field : false
-
Field description : This is the maximum exceptions during indexing before the indexing is stopped
-
-
Field name : threads
-
Lucene field : false
-
Field description : This is the number of threads that should be spawned for this indexable
-
-
-
Class : ikube.model.Distributed
-
Class : ikube.model.IndexableTable
-
Field name : predicate
-
Lucene field : false
-
Field description : This is a sql predicate, like where id > 1000
-
-
Field name : allColumns
-
Lucene field : false
-
Field description : This flag is whether to index all the columns in the database, default is false
-
-
Field name : name
-
Lucene field : false
-
Field description : The name of this indexable
-
-
Field name : address
-
Lucene field : false
-
Field description : Whether this is a geospatial address field
-
-
Field name : stored
-
Lucene field : false
-
Field description : Whether this value should be stored in the index
-
-
Field name : analyzed
-
Lucene field : false
-
Field description : Whether this field should be analyzed for stemming and so on
-
-
Field name : vectored
-
Lucene field : false
-
Field description : Whether this field should be vectored in the index
-
-
Field name : omitNorms
-
Lucene field : false
-
Field description : Whether this field should have the normalization omitted, i.e. the tf-idf omitted, meaning that longer documents will score higher if the norms are omitted(i.e. they are not written to the index)
-
-
Field name : tokenized
-
Lucene field : false
-
Field description : Whether this field should have the terms tokenized
-
-
Field name : boost
-
Lucene field : false
-
Field description : The boost to give the field at index time
-
-
Field name : maxExceptions
-
Lucene field : false
-
Field description : This is the maximum exceptions during indexing before the indexing is stopped
-
-
Field name : threads
-
Lucene field : false
-
Field description : This is the number of threads that should be spawned for this indexable
-
-
-
Class : ikube.model.Coordinate
-
Class : ikube.model.Action
-
Class : ikube.model.Task
-
Class : ikube.model.Server
-
Class : ikube.model.Analysis


DETAILS
Toggle
Play a song here
Current Track
search
Search image here
Chinese
Traditional Chinese
English
Japanese
Thai
Sample Image
Snap Photo


|
mxnet
|
This is the complete list of members for mxnet::cpp::Shape, including all inherited members.
| CopyFrom(RandomAccessIterator begin, RandomAccessIterator end) | mxnet::cpp::Shape | inline |
| data() const | mxnet::cpp::Shape | inline |
| data() | mxnet::cpp::Shape | inline |
| ndim(void) const | mxnet::cpp::Shape | inline |
| operator!=(const Shape &s) const | mxnet::cpp::Shape | inline |
| operator<<(std::ostream &os, const Shape &shape) | mxnet::cpp::Shape | friend |
| operator=(const Shape &shape) | mxnet::cpp::Shape | inline |
| operator=(const std::vector< index_t > &shape) | mxnet::cpp::Shape | inline |
| operator==(const Shape &s) const | mxnet::cpp::Shape | inline |
| operator>>(std::istream &is, Shape &shape) | mxnet::cpp::Shape | friend |
| operator[](index_t i) | mxnet::cpp::Shape | inline |
| operator[](index_t i) const | mxnet::cpp::Shape | inline |
| Shape() | mxnet::cpp::Shape | inline |
| Shape(const std::vector< index_t > &v) | mxnet::cpp::Shape | inlineexplicit |
| Shape(index_t s1) | mxnet::cpp::Shape | inlineexplicit |
| Shape(index_t s1, index_t s2) | mxnet::cpp::Shape | inline |
| Shape(index_t s1, index_t s2, index_t s3) | mxnet::cpp::Shape | inline |
| Shape(index_t s1, index_t s2, index_t s3, index_t s4) | mxnet::cpp::Shape | inline |
| Shape(index_t s1, index_t s2, index_t s3, index_t s4, index_t s5) | mxnet::cpp::Shape | inline |
| Shape(const Shape &s) | mxnet::cpp::Shape | inline |
| Size(void) const | mxnet::cpp::Shape | inline |
| ~Shape() | mxnet::cpp::Shape | inline |


Ethos Login Form
Login Form
Username
Password
© 2015 Ethos Login Form. All Rights Reserved | Powered by
小贝壳网站模板


Cars "R" Us
Customers
Orders
Products
Cart
Filter By
Action
Another action
Something else here
Separated link
CustomerID
CartID
Email
Address
1
9321
<EMAIL_ADDRESS>3452 Cherry Street
2
9322
<EMAIL_ADDRESS>4256 Cricket Court
3
9323
<EMAIL_ADDRESS>4523 Street Way
CustomerID
CartID
Email
Address
CustomerID
CartID
Email
Address
Row
Cell
Replace with
Update Products
Delete Products


Wedding Home
Wedding Reception
Wedding Party
Wedding Story
Wedding Info
Wedding Guestbook
Wedding Story
Prequels
Amanda's Story
Damien's Story
"Now-quel"
Together
Sequel
Plans and Aspirations


--- extends: root.j2 title: devilesk.com description: devilesk's personal website and Dota 2 content. --- {% block head %} {{ super() }} {% endblock head %} {% block body %}


29$ for players to coach you to get the tournament wins
$29 per month
full access to chat to our players and they will coach you, (you can cancel at anytime!)
Sign UpPlease Send money here then email<EMAIL_ADDRESS>We have pro players
to help you win tournaments
fortnite?
Call Of Duty
Valorant
Or even Fifa


|
Fling Engine
0.00.1
Fling Engine is a game engine written in Vulkan
|
A simple first person camera. More...
#include <FirstPersonCamera.h>
Inherits Fling::Camera.
Public Member Functions | |
| FirstPersonCamera (float aspectRatio, float t_MoveSpeed=10.0f, float t_RotSpeed=40.f) | |
| FirstPersonCamera (glm::vec3 position, glm::vec3 rotation, float speed, float aspectRatio) | |
| FirstPersonCamera (glm::vec3 front, glm::vec3 up, glm::vec3 position, glm::vec3 rotation, float speed, float nearPlane, float farPlane, float fov, float aspectRatio) | |
| void | Update (float dt) override |
| float | GetRotationSpeed () const |
| void | SetRotationSpeed (float t_NewSpeed) |
| bool | IsRotating () const |
| Public Member Functions inherited from Fling::Camera | |
| Camera () | |
| virtual | ~Camera ()=default |
| const float | GetNearPlane () const |
| Gets the near plane of the view frustrum. More... | |
| void | SetNearPlane (const float &nearPlane) |
| const float | GetFarPlane () const |
| Gets the far plane of the view frustrum. More... | |
| void | SetFarPlane (const float &farPlane) |
| const float | GetFieldOfView () const |
| Gets the field of view angle from the view frustrum. More... | |
| void | SetFieldOfView (const float &fieldOfView) |
| const glm::vec3 & | GetPosition () const |
| const glm::vec3 & | GetRotation () const |
| const float | GetSpeed () const |
| const float | GetAspectRatio () const |
| const glm::mat4 & | GetViewMatrix () const |
| Gets the view matrix created by the current camera position and rotation. More... | |
| const glm::mat4 & | GetProjectionMatrix () const |
| Gets the projection matrix used by camera. More... | |
Private Member Functions | |
| void | UpdateViewMatrix () |
| void | UpdateProjectionMatrix () |
| void | UpdateCameraVectors () |
Private Attributes | |
| glm::vec3 | m_front |
| glm::vec3 | m_up |
| glm::vec3 | m_right |
| glm::vec3 | m_worldUp |
| float | m_RotationSpeed = 20.0f |
| bool | m_IsRotating = false |
| MousePos | m_PrevMousePos |
Additional Inherited Members | |
| Protected Attributes inherited from Fling::Camera | |
| glm::mat4 | m_viewMatrix |
| glm::mat4 | m_projectionMatrix |
| glm::vec3 | m_position |
| float | m_speed |
| glm::vec3 | m_rotation |
| float | m_aspectRatio |
| float | m_nearPlane |
| float | m_farPlane |
| float | m_fieldOfView |
A simple first person camera.
Moves with WASD and rotates with right click + drag
| Fling::FirstPersonCamera::FirstPersonCamera | ( | float | aspectRatio, |
| float | t_MoveSpeed = 10.0f , |
||
| float | t_RotSpeed = 40.f |
||
| ) |
| Fling::FirstPersonCamera::FirstPersonCamera | ( | glm::vec3 | position, |
| glm::vec3 | rotation, | ||
| float | speed, | ||
| float | aspectRatio | ||
| ) |
| Fling::FirstPersonCamera::FirstPersonCamera | ( | glm::vec3 | front, |
| glm::vec3 | up, | ||
| glm::vec3 | position, | ||
| glm::vec3 | rotation, | ||
| float | speed, | ||
| float | nearPlane, | ||
| float | farPlane, | ||
| float | fov, | ||
| float | aspectRatio | ||
| ) |
|
inline |
|
inline |
|
inline |
|
overridevirtual |
Implements Fling::Camera.
|
private |
|
private |
|
private |
|
private |
|
private |
|
private |
|
private |
|
private |
|
private |
|
private |


Drink Healthy
Drink Sustainably
Drink Ethically
Taste and Terroir
Store Locator
Contact
Store
Blog
Water Donated
Liters


Stupid Ideas
Noose
- Just another brilliant idea.
Truth Tables
- A truth table generator that doesn't do enough validation.
Grayscale
- A bookmarklet that makes things gray.
Green Field
- A low-poly Shadertoy thing that's a rip-off of
eddieqiii/four
.
Word Generator
- The dumbest Markov-chain word generator ever.
LOVE ME
- A DMCA takedown waiting to happen.

My GitHub Profile


Bug tracker
Description
Submitted by: Author
Open | 5
Description
Submitted by: Author
Open | 5
Description
Submitted by: Author
Open | 5


Macro Morning
by Chris BeckerBy Chris Becker
US stocks lost ground as Trump fumbled around comments regarding Chinese tariffs, pushing industrials down while tech stocks had a slight tick upwards, as the USD lost ground against the undollars. Pound Sterling was the exception as the Tories continue to par back in the polls while Bitcoin cracked below the $8000 level.
There are 2127 words left in this subscriber-only article.


|
Context
|
|
Entries
|
|
Entry
|
|
EntryFactory
|
|
Factories
|
|
Factory
|
|
ImageSaver
|
|
Iterables
|
|
Iterables.FilterIterable
|
|
Iterables.FilterIterator
|
|
Leaf
|
|
LeafFactory
|
|
Node
|
|
NodePosition
|
|
NonLeaf
|
|
NonLeafFactory
|
|
RTree
|
|
RTree.Builder
|
|
RTree.Builder.MidComparator
|
|
RectangleDepth
|
|
Search
|
|
Search.SearchIterable
|
|
Search.SearchIterator
|
|
Selector
|
|
SelectorMinimalAreaIncrease
|
|
SelectorMinimalOverlapArea
|
|
SelectorRStar
|
|
Splitter
|
|
SplitterQuadratic
|
|
SplitterRStar
|
|
SplitterRStar.SortType
|
|
Visualizer
|


Pierre-Emerick Aubameyang sends message to Granit Xhaka in Arsenal programme notes
The Gabonese forward has taken over from Xhaka as the new club captain following the reaction to the Swiss midfielder's substitution against Crystal Palace last month
by Irishmirror.iePierre-Emerick Aubameyang had words for Granit Xhaka in his captain's programme notes for Arsenal's clash with Southampton on Saturday.
The forward has taken over the armband from the Swiss midfielder following the reaction to the latter's substitution against Crystal Palace last month.
Xhaka was jeered by home fans when he was replaced after an hour of the 2-2 draw, and was seen mouthing "f*** off" to the fans as he left the pitch.
The subsequent reaction eventually lead to Xhaka issuing a statement apologising if he had caused any offence, but the row had already turned toxic and eventually led to him losing the club captaincy.
Xhaka hasn't played for the club since the incident, but is set to return to the squad for Saturday's clash with the Saints.
And Aubameyang's captain's column called for support for both Xhaka and the rest of the team.
"I took over from Granit in tough circumstances but I am very proud to be wearing the armband," said Aubameyang.
"It is an honour. It comes with a lot of responsibilities but I feel I can do a great job.
"I would like to also say a word for Granit.
"I understand that sometimes one can make mistakes. It happens to all of us. Granit is one of us. We are all here for him and I know how strong he is.
"It was tough to see all of this happening but we need to move forward together."
"This is my message for you Arsenal fans. We need you. You are amazing, your support is amazing and we need to all pull in the same direction.
"I really hope you will be massively behind us today and for the rest of the season."


We are a group of software developers/programmers in Malaysia. Most of the time, we do discussion in a Telegram group (contact @k4ml for invite).
Join our Telegram Channel telegram.me/devkini or Twitter @devkini for latest update.
--- layout: default ---
We are a group of software developers/programmers in Malaysia. Most of the time, we do discussion in a Telegram group (contact @k4ml for invite).
Join our Telegram Channel telegram.me/devkini or Twitter @devkini for latest update.


WITNESS LIST State Affairs Committee (Subcommittee on Cable & Broadband) May 2, 2000-10:00A Regulatory Authority On: Arnold, Bill (Texas Cable & Telecommunications Association) Florsheim, Henry (KTRK-TV Houston) Glist, Paul (Texas Cable & Telecommunications Association) Guthrie, Darrel (Public Utility Commission of Texas) Lopez, Dave (Southwestern Bell) Raposa, John (GTE) Rutan, Edwin P. (AT&T) Wood, Pat (Public Utility Commission of Texas)


Arrays vs. Hashes
When you want to store information you can use arrays or hashes. Using arrays has the most sense when you want to put your elements in certain order. Using hashes makes the most sense when you want to access elements using certain, unique label called key. Array Array indexing starts with 0. A negative index is assumed relative to the end of the array. That is, an index of -1 indicates the last element of the array, -2 is the next element and so on. animals = [‘cat’, ‘frog’, ‘dog’] Array Indices >> animals = [0] => ‘cat' You can create empty arrays by new class method: months =Array.new or months = [] Hash A hash is a collection of key-value pairs like this “pet” => “cat”. It is similar to array, expect that indexing is made by keys name, not integers. animals = { :mammals => 'horse’, :carnivore => ‘dinosaur’ :pet => [‘cat’,’dog’] } Getting the value from hashes >> animals[:pet] => [‘cat’,’dog’] You can create empty hash by new class method: months = Hash.new or months = {} You can see all keys names by: keys = months.keys You can see values name by: hash.key
>> animals< span style="color: #f92672">[:pet]


Tests for viewport-units-buggyfill.js
-
vw test: with buggyfill and without.
Without buggyfill, iOS Safari will fail when rotating the device.
-
vh test: with buggyfill and without.
Without buggyfill, iOS Safari will fail when rotating the device.
-
vmin test: with buggyfill and without.
Without buggyfill, iOS Safari will fail when rotating the device and IE9 will just fail.
-
vmax test: with buggyfill and without.
Without buggyfill, iOS Safari will fail when rotating the device and IE9 and 10 will just fail.
-
viewport units in calc() statement: with buggyfill and without.
Without buggyfill, fails in iOS Safari.
-
vmax units in calc() statement: with buggyfill and without.
Without buggyfill, fails in iOS Safari and IE9 and 10.
-
viewport units in IE Visual Filters: with buggyfill and without.
Without buggyfill, text shadows do not grow with the viewport height in IE9.
-
viewport units used inside an iframe: with buggyfill and
without.
Without buggyfill, IE9 will assume the 100vw and 100vh to be the width and height of
the parent document’s viewport, while Safari for iOS will choose 1px (!!!!) for both..
Note: When testing examples without buggyfill in iOS Safari,
you should rotate the device several times to see the
bugs. The IE Visual Filters example does not call out a bug, just an
extra feature that some developers may find useful.


My Turing Metamorphosis
Mike Schutte, 4/20/17
music,running,reading,writing,nature
mod1: brain strain pt 1. helpless.
mod2: 100.times { rails new... }
mod3: APIs! I'm a developer!
mod4: brain strain pt 2. confident && annoyed.
think differently, see differently
On the first day of Turing...
On the last day of Turing...
we can do neat things (that people will pay us for)!
Thank you all for going through turing_transform
with me.


{{ extends "/default.html" }} {{ define "body"}}
Site URL
Site Title
Site Subtitle
Meta Keyword
Meta Description
Save
Posts per page
Posts in the popular list
Recent commented posts
Rendering Markdown by Go?


opendrr_db_documentation (v1.4.4)
-
Goal of this GitHub Page / Read the Docs Page is to provide user a breakdown of the sql workflow, schemas, and all related information on the opendrr-db.
-
Breakdown of each schema and all the tables,table columns etc can be found in opendrr.drawio diagram.
-
2_risk-profile-indicators
- Excel spreadsheet containing indicators for each Physical Exposure, Social Fabric, Earthquake Scenarios (DSRA), and Seismic Risk Model (PSRA).


Ed Sheeran surprise performance at Gordon Ramsay's daughter’s 18th birthday
Gordon Ramsay definitely earned dad brownie points after hiring Ed Sheeran to perform at his daughter’s 18th birthday party over the weekend – and while it was claimed he ‘spared no expense’, it’s since been confirmed that Ed generously performed ‘as a favour’.
The TV chef celebrated the milestone birthday of his daughter Tilly, who actually turned 18 on 8 November, with friends and family on Saturday night including Brooklyn and Romeo Beckham.
According to The Sun, Gordon hired out London’s Cuckoo Club in Mayfair on Saturday night with a black tie James Bond theme, making for quite the plush affair.
While the birthday girl was no doubt the centre of attention, Tilly likely had to share the spotlight with one of the world’s biggest popstars.
Ed, 28, popped up on the stage to perform a five-song set of his hit singles before leading the party into a rendition of Happy Birthday. Oh, and the singer rocked up with a neat new haircut too.
Advertisement Advertisement
A rep has since confirmed to Metro.co.uk that Ed performed as a ‘favour’ and that ‘no payment’ was made.
It was previously said Gordon could have shelled out up to £500,000 for the Thinking Out Loud singer to perform, as it’s allegedly the amount Ed reportedly typically commands for private gigs.
An insider had told the newspaper: ‘Tilly’s bash was next level. It was clear Gordon had spared no expense in making sure it really was a night to remember.
‘Ed is Tilly’s favourite singer so it meant the world to her that he was there, even though his set didn’t come cheap.’
 There was even a 007 ice sculpture which you could drink shots out of.’
We’ll assume our invite was lost in the post.
Earlier in the evening, Gordon and Tilly filmed a Tik Tok video together dressed in their casual clothes before waving their magic wand and suddenly being transformed into their black tie evening outfits.
Advertisement Advertisement
Tilly literally shone for the gods in a gold sequin strapless dress while Gordon, 53, looked dapper in a black tuxedo.
Very 007.
One person who was also likely in attendance was Tilly’s new boyfriend, Seth Mack, whom she celebrated her birthday with earlier in the month with a romantic trip abroad.
It was previously reported that Tilly was dating Gina D’Acampo’s son Luciano but the real identity of her boyfriend was revealed when she shared a cosy snap from their getaway.
Metro.co.uk have reached out to Gordon’s reps for comment.
Got a showbiz story?
If you've got a story, video or pictures get in touch with the Metro.co.uk Entertainment team by emailing us<EMAIL_ADDRESS>calling 020 3615 2145 or by visiting our Submit Stuff page - we'd love to hear from you.


--- layout: post authors: ["Mike Jackson"] title: "Feedback from Cranfield" date: 2014-07-28 time: "15:00:00" tags: ["Bootcamps"] ---
On 21-23 July, EPCC's ARCHER training team visited a sun-drenched Cranfield University to run a Software Carpentry bootcamp and Introduction to Scientific Programming in Python. The 3 days combined a traditional bootcamp with a new day course providing an Introduction to Scientific Programming in Python.
We covered shell hints and tips, version control and Git, and end-to-end and unit testing in Python. Our Introduction to Scientific Programming in Python included NumPy, SciPy, matplotlib, Cython and mpi4py, using a computational fluid dynamics code as an example.
We had 28 attendees, mostly from Cranfield itself, with few attendees from further afield including Heriot Watt, Queen Mary University of London, Greenwich, Sheffield, the National Oceanography Centre and even Berkeley. And, as is traditional on bootcamps, we gathered feedback on the good points and bad points of the bootcamp:
| Good points | Bad points |
|---|---|
| Shell refresher and version control | Shell refresher was on too introductory level - might be expanded with frequently used tools like grep or sed etc. |
| Git (for version control) | |
| Good coverage of Git including the use of remote repositories | |
| Revision control with Git = :-) | |
| The use of Git was really interesting | |
| Enjoyed "make" in the first day very much | Would like more basic introduction to Make |
| Make | |
| Make | |
| Makefiles | |
| Give a good overview of the possibilities of using Python and Bash shells | Basics of Python (as well as more complex features) could have been covered |
| Introduction to Python was exactly what I was looking for | numpy terminology = :-( |
| Increased my knowledge of Python!! | Exercise on day 2 [Python] lost me a little |
| Especially liked interfacing Python with Fortran/C | The second day's Python session could be made easier to follow |
| The course presented the potential of Python and some of its libraries (especially numpy and matplotlib) and it might be useful for my research | Perhaps use an easier example than CFD |
| Matplotlib for LaTeX - making combined *.eps and *.tex is easy in gnuplot - I can't find how to do it in Python | |
| This material needs to explain slice syntax visually | |
| Unit testing | Testing very specific to example, difficult to link it in to practical use |
| Test driven development | More test cases would be beneficial to feel more comfortable with the most important commands |
| Intro to unit testing especially valuable for me | |
| Software installation aspects/issues | |
| The use of different operating systems in the lectures made the process a bit difficult | |
| The preparation of uni desktop PC with all the libraries would have been useful | |
| The general pace was very reasonable | Pace a little fast for beginners |
| Well-presented at a good pace | Pace of teaching too fast sometimes |
| The follow-along-with-me style of teaching works well for this material | Sometimes it was going fast |
| Step-by-step walkthrough and EtherPad | Sometimes went a bit too fast |
| Pace was slightly too fast | |
| Python day felt a little rushed in lecture segments | |
| Assistants are around to guide | Should use microphone |
| Teachers are very approachable and explained code very well | |
| Everyone really helpful and friendly | |
| The lecturers: prepared, available and patient | |
| The demonstrators were easy to talk to and gave clear explanations | |
| Teaching room was too hot at first | |
| Lack of air conditioning on days 1 + 2 | |
| Hot room on Monday and Tuesday | |
| Heat! | |
| Air con | |
| Organisation of the course | Programming practice instructions could be clearer |
| Course content | Easier examples with step-by-step instructions, before the main example |
| Presentations | Examples should be more relevant to industry use |
| Practical exercise | The contents are general and not enough practical examples were provided |
| A lot of useful links | Crib sheet of commands |
| It's really useful | |
| Great intro to tools required for open science | |
| This wisdom should be given to every PhD student on day 1!! | |
| Very clear material | |
| Free training | The location is probably not convenient for people not from Cranfield Uni |
As an instructor, asides from my low tolerance to extreme heat, the main challenge was screen real estate - and a tension between font size and what is visible at any time. As a result, attendees sometimes missed what I was typing at my command prompt as I'd switch to my editor. In later sessions, I tried to paste everything to the EtherPad as I went, which both gave time for attendees to catch up and helped me not go so fast!
Due to the unexpectedly heat of our room, our local hosts, Mark Stillwell and Robert Sawko, did a great job in getting us another room for some of our sessions, and we relocated to the cooler climes of the second when it was free.
ARCHER's training team will be running more bootcamps in the coming months, and members of our team will be attending the Software Carpentry: Instructor Training at TGAC this October. We look forward to reporting on our experiences.


Barcelona begin preparations for Wednesday's game against Cartagena
The benefit match in the south of Spain will feature several B team players
by SPORT.esBarcelona returned to training on Monday without 12 of their internationals but with one eye on Wednesday's friendly against Cartagena (7pm CET).
Ernesto Valverde's side will have two training sessions ahead of the fixture, which is a benefit match for victims of the flooding in the south of Spain earlier this year.
Monday's session included nine B team players: Sergi Puig, Van Beijnen, Chumi, Óscar Mingueza, Jandro, Monchu, Collado, Marqués and Carles Pérez.
Perez is, of course, a regular with the first team this season, but for all the others, with the exception of Chumi, Wednesday could see them play for the first team for the first time.


npm publish [<tarball>|<folder>] [--tag <tag>] [--access <public|restricted>] [--otp otpcode] [--dry-run]
Publishes '.' if no argument supplied
Sets tag 'latest' if
no --tag specified
Publishes a package to the registry so that it can be installed by name.
By default npm will publish to the public registry. This can be overridden by specifying a different default
registry or using a scope
in the name (see package.json
).
<folder>
: A folder containing a package.json file
<tarball>
: A url or file path to a gzipped tar archive containing a single folder with
a package.json file inside.
[--tag <tag>]
: Registers the published package with the given tag, such that npm
install <name>@<tag>
will install this version. By default, npm
publish
updates and npm install
installs the latest
tag. See npm-dist-tag
for details about tags.
[--access <public|restricted>]
: Tells the registry whether this package should be
published as public or restricted. Only applies to scoped packages, which default to
restricted
. If you don’t have a paid account, you must publish with --access
public
to publish scoped packages.
[--otp <otpcode>]
: If you have two-factor authentication enabled in
auth-and-writes
mode then you can provide a code from your authenticator with this. If you
don’t include this and you’re running from a TTY then you’ll be prompted.
[--dry-run]
: As of npm@6
, does everything publish would do except actually
publishing to the registry. Reports the details of what would have been published.
The publish will fail if the package name and version combination already exists in the specified registry.
Once a package is published with a given name and version, that specific name and version combination can never
be used again, even if it is removed with npm unpublish
.
As of npm@5
, both a sha1sum and an integrity field with a sha512sum of the tarball will be submitted
to the registry during publication. Subsequent installs will use the strongest supported algorithm to verify
downloads.
Similar to --dry-run
see npm pack
, which figures out
the files to be included and packs them into a tarball to be uploaded to the registry.
To see what will be included in your package, run npx npm-packlist
. All files are included by
default, with the following exceptions:
Certain files that are relevant to package installation and distribution are always included. For
example, package.json
, README.md
, LICENSE
, and so on.
If there is a "files" list in package.json
, then
only the files specified will be included. (If directories are specified, then they will be walked
recursively and their contents included, subject to the same ignore rules.)
If there is a .gitignore
or .npmignore
file, then ignored files in that and all
child directories will be excluded from the package. If both files exist, then the
.gitignore
is ignored, and only the .npmignore
is used.
.npmignore
files follow the same
pattern rules as .gitignore
files
If the file matches certain patterns, then it will never be included, unless explicitly added to
the "files"
list in package.json
, or un-ignored with a !
rule in
a .npmignore
or .gitignore
file.
Symbolic links are never included in npm packages.
See developers
for full details on what’s included in the
published package, as well as details on how the package is built.


Swagger UI
Connect To SignalR
Connect To SignalR with Token and Auth
Disconnect from SignalR
Auth0 Logout: softwarepioniere-demo.eu.auth0.com


DataFrame is a templatized and heterogeneous C++ container designed for data analysis for statistical, machine-learning, or financial applications.
| Artificial-Intelligence Visitors |
|---|
| struct AffinityPropVisitor{ } |
| struct BiasVisitor{ } |
| struct CubicSplineFitVisitor{ } |
| struct DecomposeVisitor{ } |
| struct EntropyVisitor{ } |
| struct ExponentialFitVisitor{ } |
| struct FastFourierTransVisitor{ } |
| struct ImpurityVisitor{ } |
| struct KMeansVisitor{ } |
| struct LinearFitVisitor{ } |
| struct LogFitVisitor{ } |
| struct LossFunctionVisitor{ } |
| struct LowessVisitor{ } |
| struct NormalizeVisitor{ } |
| struct PolicyLearningLossVisitor{ } |
| struct PolyFitVisitor{ } |
| struct ProbabilityDistVisitor{ } |
| struct RectifyVisitor{ } |
| struct SigmoidVisitor{ } |
| struct SLRegressionVisitor{ } |
| struct StandardizeVisitor{ } |
| Types |
|---|
| enum class box_cox_type{ } |
| enum class bucket_type{ } |
| enum class concat_policy{ } |
| enum class decompose_type{ } |
| enum class drop_policy{ } |
| enum class fill_policy{ } |
| enum class exponential_decay_spec{ } |
| enum class hampel_type{ } |
| enum class impurity_type{ } |
| enum class Index2D{ } |
| enum class io_format{ } |
| enum class join_policy{ } |
| enum class linreg_moving_mean_type{ } |
| enum class loss_function_type{ } |
| enum class mad_type{ } |
| enum class mean_type{ } |
| enum class nan_policy{ } |
| enum class pattern_spec{ } |
| enum prob_dist_type{ } |
| enum class quantile_policy{ } |
| enum class random_policy{ } |
| enum class rank_policy{ } |
| enum class rectify_type{ } |
| enum class remove_dup_spec{ } |
| enum class return_policy{ } |
| enum class roll_policy{ } |
| enum class shift_policy{ } |
| enum class sigmoid_type{ } |
| enum class sort_spec{ } |
| enum class sort_state{ } |
| enum class time_frequency{ } |
| operator df_divides( ) |
| operator df_minus( ) |
| operator df_multiplies( ) |
| operator df_plus( ) |
| struct BadRange{ } |
| struct ColNotFound{ } |
| struct DataFrameError{ } |
| struct InconsistentData{ } |
| struct MemUsage{ } |
| struct NotFeasible{ } |
| struct NotImplemented{ } |
| Stand-alone Numeric Generators |
|---|
| gen_bernoulli_dist{ } |
| gen_binomial_dist( ) |
| gen_cauchy_dist( ) |
| gen_chi_squared_dist( ) |
| gen_dft_sample_freq( ) |
| gen_even_space_nums( ) |
| gen_exponential_dist( ) |
| gen_extreme_value_dist( ) |
| gen_fisher_f_dist( ) |
| gen_gamma_dist( ) |
| gen_geometric_dist( ) |
| gen_log_space_nums( ) |
| gen_lognormal_dist( ) |
| gen_negative_binomial_dist( ) |
| gen_normal_dist( ) |
| gen_poisson_dist( ) |
| gen_student_t_dist( ) |
| gen_sym_triangle( ) |
| gen_triangular_nums( ) |
| gen_uniform_int_dist( ) |
| gen_uniform_real_dist( ) |
| gen_weibull_dist( ) |
Views have useful and practical use-cases. A view is a slice of a DataFrame that is a reference to the original DataFrame. It appears exactly the same as a DataFrame, but if you modify any data in the view, the corresponding data point(s) in the original DataFrame will also be modified and vice versa. There are certain things you cannot do in views. For example, you cannot add or delete columns, extend the index column, ...
In general there are two kinds of views
Visitors are the main mechanism to implement analytical (i.e. statistical, financial, machine-learning) algorithms. You can easily follow the visitor's interface to add your custom algorithm by which you will extend the DataFrame package. Visitors also play several roles that in other packages maybe handled by separate interfaces. Visitors play the role of apply, transformer, and algorithms. For example, a visitor can transform column(s) or it may take the column(s) as read-only and implement an algorithm.
There are two visitor interfaces:
DataFrame gives you the ability to allocate memory on custom alignment boundaries.
You can use this feature to take advantage of SIMD instructions in modern CPU's. Since DataFrame algorithms are all done on vectors of data — columns, this can come handy in conjunction with compiler optimizations. Also, you can use alignment to prevent false cache-line sharing between multiple columns.
There are convenient typedef's that define DataFrames that allocate memory, for example, on 64, 128, 256, ... bytes boundaries. See DataFrame Library Types.
When you get access to columns in a DataFrame, you will get a reference to a StlVecType. StlVecType is just a std::vector with custom allocator for the requested alignment.
Random generators, and a few other numeric generators, were added as a series of convenient stand-alone functions to generate random numbers (it covers all C++ standard distributions). You can seamlessly use these routines to generate random DataFrame columns.
See this document and file RandGen.h and dataframe_tester.cc.
For the definition and defaults of RandGenParams, see this document and file DataFrameTypes.h
The DataFrame library is almost a header-only library. Currently the only library source file is DateTime.cc.
Starting from the root directory:
include directory contains almost all of the code. It includes .h and .tcc files. The latter are C++ template code files (they are mostly located in the Internals subdirectory). The main header file is DataFrame.h. It contains the DataFrame class and its public interface. There are comprehensive comments for each public interface call in that file. The rest of the files will show you how the sausage is made. Include directory also contains subdirectories that contain mostly internal DataFrame implementation. One exception is the Utils subdirectory
src directory contains Linux-only make files and Utils subdirectory.
test directory contains all the test source files, mocked data files, and test output files. The main test source files are dataframe_tester.cc and dataframe_tester_2.cc. It contains test cases for all functionalities of DataFrame. It is not in a very organized structure. I plan to make the test cases more organized.
Using plain make and make-files:
Go to the root of the repository, where license file is, and execute build_all.sh. This will build the library and test executables for Linux/Unix flavors only
Using CMake:
You would be able to build this in Linux, Windows, MacOS, and more — see README
Using Package Managers:
You can also use Conan or VCPKG — see README


My Little Restaurant first opened its doors on October 11, 2019, celebrating its official grand opening just 8 days later. As a Latinx and woman-owned business, we bring authentic Mexican cuisine in Selah, Washington with a Jalisciense taste. Nereyda Alvarez (left) and her 20+ years of experience inspired her homemade recipes to take on the small town restaurant experience, big on flavors with our daily specials and other traditional classics. Breakfast, lunch, or dinner, we are open 6 days a week: burritos, ceviche, tortas, quesadillas, street tacos, and more!
Served with rice, beans, and tortillas (servido con arroz, frijoles, y tortillas).
Finely-sliced grilled ranchera steak with guacamole, grilled onions, and jalapeños.
3 chicken enchiladas topped with onions, sour cream, shredded lettuce, and cheese.
Chicken strips sautéed with veggies and spices.
Carne asada sautéed with onions, jalapeños, tomatoes, and spices.
The perfect food bundle for any social occassion!
Mix and match your traditional favorites with either: 4 Street Tacos -or- 3 Birria Tacos AND a small Asada Fries -or- a small California Burrito; includes chips and salsa.
12 Street Tacos, 2 California burritos, and 1 order of Asada fries.
Your favorite street tacos served with rice, beans, chips and salsa.
A dozen of chicken enchiladas topped with onions, sour cream, lettuce, and cheese; served with rice and beans.
A dozen of rolled, deep-fried taquitos with chicken and topped shredded lettuce, sour cream, guacamole sauce, and cheese; served with rice and beans.
A dozen birria-style tacos, served with consome on the side.
¡Síganos en nuestras últimas actualizaciones!
The Spanish newspaper debuted our 1st publication in November 2019, interviewing the owner's claim to fame.
Our 2nd publication featured in January 2020, revealing details from our grand opening event including our first print ad on page 6.
Our 1st magazine ad is on page 36, which is on their Pride & Politics issue.
Summer 2021¿Listo para ordenar? ¡Póngase en contacto con nosotros hoy!