"Junichi Masuda is a Japanese video game composer, director, designer, producer, singer, and programmer best known for his work in the Pokémon franchise. He is a member of the Game Freak board of directors, and has been employed at the company since 1989 when he founded it along Satoshi Tajiri and Ken Sugimori "
What are Pocket Monsters?
Pokémon is a series of video games developed by Game Freak and published by Nintendo and The Pokémon Company as part of the Pokémon media franchise. Created by Satoshi Tajiri with assistance from Ken Sugimori,the first games released in 1996 in Japan for the Game Boy, and the main series of role-playing video games (RPGs), also referred as the "core series" by their developers
Let us know some pokemon types:
Water
Water is one of the three basic elemental types along with Fire and Grass, which constitute the three starter Pokémon. This creates a simple triangle to explain the type concept easily to new players. Water is the most common type with over 100 Pokémon, which are based on a wide variety of fish and other sea-dwelling creatures.
Fire
Fire is one of the three basic elemental types along with Water and Grass, which constitute the three starter Pokémon. This creates a simple triangle to explain the type concept easily to new players. Fire types are notoriously rare in the early stages of the games so choosing the Fire variation starter is often a plus.
Grass
Grass is one of the three basic elemental types along with Fire and Water, which constitute the three starter Pokémon. This creates a simple triangle to explain the type concept easily to new players.Grass is one of the weakest types statistically, with 5 defensive weaknesses and 7 types that are resistant to Grass moves.
Statistics on Pokemon Go
Statistics of weight loss
The AR game's potential for weight loss was a big part of that discussion. In the process of getting out their doors and visiting parks, players found they were losing weight almost in spite of themselves. A Reddit Pokémon Go fan won acclaim for reporting that he'd lost 65 pounds between July and December.
Statistics of app downloads
Pokémon GO is one of the most successful mobile games of all time, breaking records like fastest to earn $100 million and most-downloaded in its first month of release. To date, it has grossed almost $2 billion in revenue and been downloaded 800 million times. Although no longer the global phenomenon it was in 2016, the game remains incredibly popular.
2020 Pokémon of the Year Revealed
GreninjaWater/Dark |
"Greninja is the final evolution of Pokémon X and Y water-type starter Froakie. It has the ability to take on an appearance resembling its trainer. Pokedex says: Greninja creates throwing stars out of compressed water. When it spins them and throws them at high speed, these stars can split metal in two." |
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LucarioFighting, Steelr |
"Lucario is a bipedal, wolf-like Pokémon with blue, cream, and black fur. It is considered to be prideful and loyal to its trainer. Pokedex says: By catching the aura emanating from others, Lucario can read their thoughts and movements." |
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MimikyuGhost Fairy |
"Mimikyu caused quite a stir for its peculiar looks and sad backstory when it was originally announced for Pokémon Sun and Moon in 2016. Mimikyu is described as a Pokémon who felt so lonely that it decided to wear a rag in order to look like Pikachu, everyone’s favorite Pokémon. Pokedex says: Its actual appearance is unknown. A scholar who saw what was under its rag was overwhelmed by terror and died from the shock." |
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CharizardFlying, Fire |
"Charizard is an orange draconic Pokémon who has a fiery temper. It is the final evolution of Charmander, one of the starter Pokémon for the original game. Pokedex says: Charizard flies around the sky in search of powerful opponents. It breathes fire of such great heat that it melts anything. However, it never turns its fiery breath on any opponent weaker than itself. " |
Q and A
Questions Every Pokemon Trainer Should Be Able To Answer
-
What Pokemon does Pikachu evolve into?
-
We're sure you know this Electric mouse Pokemon, and you know it quite well. Basic knowledge of Pikachu is essential for every trainer, but you should also be well versed in the rodent's evolutionary chain. Pikachu, mighty as it is, has an even stronger evolved form also capable of generating vast amounts of electricity. Maybe you've bumped into this species in the wild. Either way, this is a question all Pokemon trainers should be able to answer.
-
Answer is Raichu
-
-
What's the most effective Poke Ball in the game?
-
Not all Poke Balls are made equally. There's the basic model you start your journey off with, but progressive upgrades are needed if you're looking to keep up with some of the stronger wild Pokemon who emerge in later routes. If you've made your way through any Pokemon game, you've reached the point where you're presented with the most effective Poke Ball known to man. This is a one shot catch, and no button mashing at all is required.
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Answer is Master Ball
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Pokemon Battles
Here's a Pokémon Go type chart to get you started on what's effective against what.
Type chart, effectiveness and weakness explained in Pokémon Go
Pokémon battles appear in most forms of Pokémon media, being the central gameplay aspect of the core series
games, as well as being a constant focus of the anime.
Pokémon Go's Types are exactly the same as those in the main Pokémon games, but the effect of those type
matchups is slightly different: in brief, things like effective or resisted attacks have slightly different
multipliers to the main Pokémon games - although a December 2018 update brought them slightly closer in
line.
| Type | Strong Against | Weak Against | Resistant To |
|---|---|---|---|
| Normal | None | Rock, Ghost, Steel | Ghost |
| Fighting | Normal, Rock, Steel, Ice, Dark | Flying, Poison, Psychic, Bug, Ghost, Fairy | Rock, Bug, Dark |
| Flying | Fighting, Bug, Grass | Rock, Steel, Electric | Fighting, Ground, Bug, Grass |
| Poison | Grass, Fairy | Poison, Ground, Rock, Ghost, Steel | Fighting, Poison, Grass, Fairy |
| Ground | Poison, Rock, Steel, Fire, Electric | Flying, Bug, Grass | Poison, Rock, Electric |
Pokémon Go in 2020 continues to add new features, such the arrival of the Go Battle League, Remote Raids and the trade evolution feature. There are also planned changes to PokéCoins on the way. Meanwhile, coming soon is the Johto Throwback quest.
Want to know more about Pokemon?
Pokemon Card
Greninja
Ability: Torrent
It is the final evolution of Froakie, the Water-type starter from Kalos.
Let's know about pokemon trainers
Ash KetchumChampion of Orange League |
"Ash Ketchum, known as Satoshi in Japan, is a fictional character in the Pokémon franchise owned by Nintendo. He is the protagonist of the Pokémon anime and certain manga series as well as on various merchandise related to the franchise. In Japanese, the character is voiced by Rika Matsumoto, and Hana Takeda. " |
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LanceDragon Master |
"Lance is a recurring character in Pokémon. He is a user of Dragon-types being the final Elite Four member in Red, Blue and their remakes. In Pokémon Gold, Silver, Crystal and their remakes, he is the Champion.Lance has appeared in the Pokémon series games from Generation I-III. He first appeared in the original Red and Blue games, being the final member of the Elite Four, and again in Generation III's Red and Blue remakes, FireRed and LeafGreen. Lance in the Generation II games differed from the previous though, as he was Pokémon Champion by this time. " |
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CynthiaShirona |
"Cynthia is a powerful Pokémon trainer and the Champion of the Sinnoh region where Professor Carolina, Cynthia's grandmother, runs the Pokémon Research Lab in Celestic Town. She enjoys visiting the Solaceon Town Ruins. Later, in Pokémon: DP Galactic Battles, she helps fight Team Galactic as well. In the anime, she has a villa in east Unova but in the Pokémon Black and White games, she borrows Caitlin's villa (from the Elite Four). " |
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Professor oakUniverse Boss |
"Ookido Yukinari Hakaseamuel Oak (Professor Oak) is most notable for his vast research facility, where he cares for and studies hundreds of Pokémon, including those owned by, but not currently traveling with, Trainers from Pallet Town. He has confidence in his grandson, Gary Oak, but more often joins Ash's mother and friends in cheering on Ash in his competitions. " |
Generation-Cards
First generation
(1996–1999)
The original Pokémon games are Japanese role-playing video games (RPGs) with an element of strategy, and were created by Satoshi Tajiri for the Game Boy. The Pokémon series began with the release of Pocket Monsters Red and Green for the Game Boy in Japan. When these games proved popular, an enhanced Blue version was released sometime after, and the Blue version was reprogrammed as Pokémon Red and Blue for international release. The original Green version was not released outside Japan
Second generation
(1999-2002)
The second generation of Pokémon videos games begin in 1999 with the Japanese release of pokemon gold and silver for the Game Boy Color,with Australia and North America getting the Game in October 2000 and European release date of April 2001.Like the previous generation,an enhanced version,title pokemon crystal was later released.
Third generation
(2002-2006)
Pokémon entered its third generation with the 2002 release of Pokémon Ruby and Sapphire for Game Boy Advance and continued with the Game Boy Advance remakes of Pokémon Red and Green, Pokémon FireRed and LeafGreen (Red and Green representing the original Japanese first generation games; territories outside Japan instead saw releases of Red and Blue). An enhanced remake of Pokémon Ruby and Sapphire titled Pokémon Emerald followed after.
Fourth generation
(2006-2010)
In 2006, Japan began the fourth generation of the franchise with the release of Pokémon Diamond and Pearl for Nintendo DS. The games were released in North America on April 22, 2007 and in Australia on June 21, 2007. The game was released in the UK and Europe on July 27, 2007. Other main series games in the fourth generation include Pokémon Platinum, a director's cut version of Diamond and Pearl in the same vein as Pokémon Yellow, Crystal, and Emerald.It was released for the Nintendo DS in Japan on September 13, 2008, in North America on March 22, 2009, and in Australia and Europe on May 14, 2009 and May 22, 2009
Enter your email to subscribe pokemon channel
Pokemon Games
Pokémon Sleep
Pokémon Sleep is an upcoming mobile game for Android and iOS, as part of the Pokémon series.
Pokémon: Let's Go, Pikachu!
Take a Pokémon™ journey to the Kanto region with your energetic partner, Pikachu!

Designers
Junichi Masuda
Shigeki Morimoto
"Shigeki Morimoto is a game designer and programmer currently working at Game Freak. He has been involved in nearly every main series Pokémon game, since Pokémon Red and Blue Versions where he was a programmer, and the creator of the battle system and the Pokémon "Mew". "
Ken Sugimori
"Ken Sugimori is a Japanese video game designer, illustrator, manga artist, and director. He is most famous as the character designer and art director for the Pokémon franchise. Sugimori is also credited with the art direction for other titles, including Pulseman "
Logos
Pokémon is short for the original Japanese title of Pocket Monsters. Created by. Satoshi Tajiri.


You can use the form below to remove members from your project.


{% comment %} If the fellowship is in session, show the shortlist and show the page intro (which talks about the shortlist), otherwise, hide it. {% endcomment %} {% if site.fellowship.in_session == true %} {% include_relative {{ page.partials_location }}_intro.html %} {% include shortlist-list.html %}
{% endif %} {% include_relative {{ page.partials_location }}_featured-projects.html %}


It's healthy and worthy great manual and you will feel great I tell you.
Has the most beatiful nature It is so? offers a lot. The stories and myth and Egghead are great resources.
Autum is comming here stackOverflow thread the leafs will be on the ground and the rain would smell


Gloucester Police locate young man missing for five days
by EndPlayGLOUCESTER, Mass. - Gloucester Police are asking for help in finding 24-year-old Caleb McCarthy.
McCarthy, from Gloucester, was last seen on Nov. 11, and officials fear that his health and safety may be in danger.
He mentioned wanting to travel to California, police said, and he may have been in the Boston area earlier this week.
McCarthy has an outstanding arrest warrant out of Gloucester District Court, but police said he isn't considered a danger to the public.
Anyone with information pertaining to McCarthy's whereabouts can call the Gloucester Police Department at<PHONE_NUMBER>.


All functions |
|
|---|---|
Bind the term frequency and inverse document frequency of a tidy text dataset to the dataset |
|
Create a sparse matrix from row names, column names, and values in a table. |
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Tidiers for a corpus object from the quanteda package |
|
Tidy dictionary objects from the quanteda package |
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Casting a data frame to a DocumentTermMatrix, TermDocumentMatrix, or dfm |
|
Get a tidy data frame of a single sentiment lexicon |
|
Get a tidy data frame of a single stopword lexicon |
|
|
|
Tidiers for LDA and CTM objects from the topicmodels package |
Tidiers for Latent Dirichlet Allocation models from the mallet package |
|
English negators, modals, and adverbs |
|
Parts of speech for English words from the Moby Project |
|
Reorder an x or y axis within facets |
|
Sentiment lexicon from Bing Liu and collaborators |
|
|
|
Tidiers for Structural Topic Models from the stm package |
Various lexicons for English stop words |
|
|
|
Tidy DocumentTermMatrix, TermDocumentMatrix, and related objects from the tm package |
Tidy a Corpus object from the tm package |
|
Utility function to tidy a simple triplet matrix |
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tidytext: Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools |
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Split a column into tokens using the tokenizers package |


Sorting means the rearrangement of an array into an order based on some key, which may be either implicit or explicit. The implicit keys are the integer or real number fields, and the standard alphabet. Explicit keys may be any arbitrary set. Note that sorting applies equally well to character data and to Boolean, integer, real numbers, complex numbers, or to boxed data. When applied to real numbers, comparisons are exact. No tolerance is used. Verbs defined to sort in ascending order can be converted to give descending order by changing /: to \: , as in m0 and m1 . Note also that these verbs apply (unless they use the rank operator to prevent it) to arrays of arbitrary ranks, where the items are treated as if they were raveled.
| m0=: /:~ | Sort the array y in ascending order |
| m1=: \:~ | Sort the array y in descending order |
| m2=: /:~"_1 | Sort the items of array y ascending |
| d3=: /:@:{ { [ | Sort indices x according to y |
| d4=: ]/:{"1 | Sort table y according to column x |
| d5=: \:@[`(/:@[) @. ] | Grade x up if y is 1 and down if y is 0 |
| d6=: \:~@[`(/:~@[) @. ] | Sort up or down (Try literal argument) |
| d7=: /:~ | Sort y according to x |
y=:'leap','note',:'file' m1 y note leap file m1"1 y plea tone life z=:> ;: 'to be or not to be that is the question' (] ; m0 ; m1 ; m2) z +-----------------------------------+ |to |be |to | ot| |be |be |to | be| |or |is |the | or| |not |not |that | not| |to |or |question| ot| |be |question|or | be| |that |that |not | ahtt| |is |the |is | is| |the |to |be | eht| |question|to |be |einoqstu| +-----------------------------------+ q=: ?.15#9 (] , m0 ,: m1) q 1 6 4 4 1 0 6 6 8 3 4 7 0 0 4 0 0 0 1 1 3 4 4 4 4 6 6 6 7 8 8 7 6 6 6 4 4 4 4 3 1 1 0 0 0 x=: 2 3 4 5 0 1 9 8 7 6 y=:100+10 4 8 6 7 9 5 3 2 1 x ([ , ] ,: d3) y 2 3 4 5 0 1 9 8 7 6 110 104 108 106 107 109 105 103 102 101 9 8 7 1 6 3 4 2 5 0 y=: ?.5 6$100 d4=: ]/:{"1 (0&d4 ; 2&d4 ; 5&d4) y +-----------------------------------------------------+ | 3 5 52 67 0 38|13 75 45 53 21 4|13 75 45 53 21 4| | 6 41 68 58 93 84| 3 5 52 67 0 38| 3 5 52 67 0 38| |13 75 45 53 21 4|52 9 65 41 70 91|67 67 93 38 51 83| |52 9 65 41 70 91| 6 41 68 58 93 84| 6 41 68 58 93 84| |67 67 93 38 51 83|67 67 93 38 51 83|52 9 65 41 70 91| +-----------------------------------------------------+
The random number generator ?. used here produces repeatable experiments, but ? can also be used. For example:
? 9 # 9 1 6 4 4 1 0 6 6 8 ?. 9 # 9 3 8 8 4 2 0 2 7 4


Event Information
When an event occurs, we need to find out who it occured to, and other information.
There is a event information block located in the World, Events area:
This code will trigger when the player moves, determine who moved and send that player a message.


Jessica Knappett's panel show appearances
Jessica Knappett (born 1984[ref]) has appeared in 17 episodes between 2016-2018. Jessica Knappett on Wikipedia.
- 2018-11-07 / Taskmaster
- 2018-10-31 / Taskmaster
- 2018-10-24 / Taskmaster
- 2018-10-17 / Taskmaster
- 2018-10-10 / Taskmaster
- 2018-10-03 / Taskmaster
- 2018-09-26 / Taskmaster
- 2018-09-19 / Taskmaster
- 2018-09-12 / Taskmaster
- 2018-09-05 / Taskmaster
- 2018-08-17 / 8 Out of 10 Cats Does Countdown
- 2018-02-26 / Go 8 Bit
- 2018-01-19 / 8 Out of 10 Cats Does Countdown
- 2017-06-13 / 8 Out of 10 Cats
- 2017-05-30 / 8 Out of 10 Cats
- 2017-03-14 / Alan Davies: As Yet Untitled
- 2016-11-29 / 8 Out of 10 Cats


An extremely basic service that accepts one argument, payload
, over either POST or GET.
For example, in Python using the Requests library:
>>> import requests >>> r = requests.get('my hook url', params={ ... 'payload': 'The build has been completed.' ... }) >>> print(r.status_code) 200


make_index module¶
-
class
make_index.
Index
¶ Bases:
object
The index which will be used by the PlagiarismChecker as the basis for plagiarism marking
-
add_doc
(doc_name: pathlib.Path, doc_contents: str)¶ Add the document to the index :param doc_name: The name of the document :param doc_contents: The contents of the document :return: None
-
normalize_docs
()¶ Calculate tf*idf and apply Cosine Normalization to each doc in the corpus :param: None :return: None
-


Reports seq.reverse.take(n).reverse.
seq.reverse.take(n).reverse
Example:
After the quick-fix is applied:
seq.takeRight(n)


Upgrading to Rails 4 in an existing application can be quite a switch. I decided to make the jump and handle any complications as they come. After about an hour or so I was mostly up and running, with a few issues here and there with gems I am using and their various versions.
Resources
As is often the case, the Railscast on the subject proved invaluable. There is also a robust compilation of Rails 4 links being maintained here.
RubyMine
If you use RubyMine, you may run across an error when trying to start your development server.
1
|
|
When a new Rails 4 application is created, it generates a ‘bin’ folder. Creating a new, blank Rails 4 application and copying its ‘bin’ folder into the existing project will resolve the error and allow the server to be started in RubyMine.
Gems
One gem that gave me a few errors was simple form. I updated my Gemfile to:
1
|
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However, when loading my forms in the browser, I received another error:
1
|
|
After doing some digging I found that this was actually related to the client_side_validations gem, which I was no longer using and safely removed this from the project. If you need this gem, there is a branch for Rails 4 which should help.
Looking forward to implementing the great additions in Rails 4.


SLEEPY HOLLOW
Reviewed by Harvey Karten Paramount Pictures Director: Tim Burton Writer: Washington Irving (story), Andrew Kevin Walker Cast: Johnny Depp, Christina Ricci, Casper Van Dien, Miranda Richardson, Michael Gambon, Marc Pickering, Christopher Walken
I'm looking at the headline in today's copy of the New York Daily News: "Deranged Man Bashes Woman Over the Head in Times Square in Broad Daylight." No wonder so many potential tourists steer clear of the Big Apple. Maybe the situation was always that way. Why, for example, wouldn't the entire town of Sleepy Hollow flee to the state's largest metropolis in 1799 when a major-league slasher in that minor-league town was lopping off heads wholesale? Nope. The inbred residents of that village just 2 hours' north of New York by horse simply hung around refusing to watch their heads while the propertied officials did their best to cover their butts.
Washington Irving told the wonderful tale of Ichabod Crane, schoolmaster, and his adventures with the headless horseman in a short story he published in 1812. While this was hardly a slash-and-burn tale but rather one suited for a captivated twelve-year-old audience, horror-meister Tim Burton uses the legend simply as a jumping off point. Eschewing the Irving subtleties in favor of all the ambiance that modern cinema technology can afford, Burton, whose contributions range from "Batman" to "Beetlejuice" and scoring big with the adult fairy tale "Edward Scissorhands," achieves wonders with Rick Heinrich's expressionistic production design. Alas, the layout loses its novelty after the first 30 minutes and given the absence of tension--of the usual false alarms that cause horror stories to raise hairs on audience heads--"Sleepy Hollow" is both sleepy and hollow.
Burton, using a screenplay by Andrew Kevin Walker, transforms Ichabod Crane (Johnny Depp) from a superstitious schoolmaster to an enlightened, rationalist New York City police officer who had testified regularly in favor of a more scientific treatment of evidence and a less rigid system of penology. When yet another burglar is arrested and thrown unceremoniously into a pit resembling a third-world prison, Crane goes ballistic and is gotten rid of by an assignment from the judge to investigate the scene of numerous beheadings in the village of Sleepy Hollow. Arriving by coach, he meets the local Dutch-American bigwigs and at a reception is kissed by a lovely, masked reveler, Katrina Van Tassel--daughter of the prosperous Baltus (Michael Gambon) and his wife (Miranda Richardson). Though Katrina has a boy friend, Brom van Brunt (Casper Van Dien), she switches her romantic loyalties to the interesting stranger, while Crane employs the latest, turn-of- the-century instruments (including a grotesque set of eyeglasses) to examine decapitated bodies.
"The Legend of Sleepy Hollow" is a horror story without much horror--unless you consider the generic open-necked victims' cauterized wounds to be anything more than what you see on a typical day on the hooks of the local butcher shop. In a scene involving a witch whom Crane consults in her shack, the head of the sorceress turns into the standard- issue ghoul, eyes bulging out of sockets, the kind of video- game image that's wholly laughable rather than dangerously terrifying. Johnny Depp does a reasonable job of holding back the giggles at his role, one in which he plays a Sherlock Holmes who jumps on a bed when he spots a spider and who is accompanied by a young Dr. Watson in the form of 12-year-old Masbeth (Marc Pickering)--who has been orphaned as a result of the slasher's deeds. Christopher Walken looks ridiculous in the construct of the Hessian soldier who slew scores of enemies with his sword and ax.
Burton's supporting cast includes Michael Gambon, who is villainous enough in his role as the prosperous farmer but not nearly the scoundrel he portrays in Michael Mann's movie "The Insider," and Ray Park and Rob Inch do some fancy equestrian antics for men with no heads on their shoulders. Missing are Brom's practical jokes on the Yankee schoolmaster in the original story by Irving, and seriously underplayed is the rivalry between Brom and Ichabod for the hand of Katrina Van Tassel. Irving brought out the distinction of having a special ghost with a definite identity to haunt a specific locality--a matter of honor and prestige, highly respected as a folk theme. This subtlety is ravaged in favor of seemingly indiscriminate butchery and by Burton's need to abandon literary style in favor of tired imagery.
Rated R. Running Time: 105 minutes. (C) 1999 Harvey Karten
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


User profile
Full Name
Education Level
Email ID
Phone Number
Specialization
Date of Birth
Residential address
Country
United States
United Kingdom
Viet Nam
Street Address
Apartment
Town / City
County
Postcode / Zip
What are you doing?
Programming
Sports
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Tour Guide
Art-Design
Doctor


Mobile app internals
This page describes how to measure angles using a phone's accelerometer.
This page describes how to measure angles using a phone's accelerometer.
The core thing that provides information about the orientation of the smartphone is the Accelerometer sensor.
Good references about sensors can be found here:
Sensor APIs,
Accelerometer and
Sensors for the web.
In this particular implementation, accessing the accelerometer from the JavaScript is quite simple:
if ('Accelerometer' in window) {
try {
const accelerometer = new Accelerometer({frequency});
accelerometer.onerror = ({error}) => handleError(error);
accelerometer.onreading = () => handleValue(accelerometer);
accelerometer.start();
return accelerometer;
} catch (error) {
handleError(error);
}
} else {
handleError({name: 'NotSupported'});
}
At the given frequency, the accelerometer triggers the "handleValue function and passes gravity values:
const handleValue = ({x, y}) => {
const normalized = normalizeGravity(x, y);
const newDegrees = Math.atan2(normalized.y, normalized.x) * 180 / Math.PI;
if (Math.abs(newDegrees - degrees) > precision) {
degrees = newDegrees;
changeCallback(degrees);
}
};
Where "x" and "y" are values from -9.8 to 9.8, depends on how the device is rotated.
In addition to the physical rotation, there is a logical orientation (the screen can rotate automatically when you move a device between portrait and landscape orientation). In this case it is necessary to invert gravity values to compensate screen rotation:
const normalizeGravity = (x, y) => {
switch (screen.orientation.type) {
case 'portrait-secondary':
return {x: -x, y: -y};
case 'landscape-primary':
return {x: -y, y: x};
case 'landscape-secondary':
return {x: y, y: -x};
default:
return {x, y};
}
};
After that these "x" and "y" values can be converted to radians:
radians = Math.atan2(y, x)
,
and to degrees degrees = radians * 180 / Math.PI"
.
Then this angle is used to rotate the vector arrow in the SVG image:
pointerLine.setAttribute('transform', `rotate(${-degrees})`);
pointerMarker.setAttribute('transform', `rotate(${-degrees})`);
Complete code can be found at github


This tutorial represents a high-level tour of the features of Cytoscape. Detailed instructions for specific features are provided in separate tutorials linked to from each section.
This tutorial is designed to run as a demo in the CyBrowser app, with interactive buttons for each task.
Cytoscape accepts network data in a variety of formats and from multiple sources, including many public interaction and network databases. This tutorial uses data from the
Networks can be filtered, and nodes selected, based on associated data or network properties. The STRING database provides many node and edge attributes that we can use to explore the network. For example, we can use the "disease score" attribute to select the top 3 genes, and then select first neighbors of these, thereby using the network connectivity together with the data to direct discovery.
The figure below shows a selection of top three nodes and their first neighbors.
New networks can easily be created in Cytoscape from a selection of nodes and edges. Now that we have the top genes and their neighbors selected, we can create a subnetwork of this more focused subset of the network.
Once the network is created, we can apply a layout algorithm to help visualize the network. Networks in Cytoscape can be manually manipulated in terms of layout, but Cytoscape also supports a large collection of automatic layout algorithms. Layout algorithms are available under the
Cytoscape allows the user to add node, edge and network data as node/edge/network data columns. This could include annotation data for genes, protein-protein interaction confidence scores as well as transcriptomics data. Data is visible in the Table Panel.
We are going to load mutation data and expression data from the TCGA breast cancer dataset which includes a wide variety of data types, including genomic DNA copy number arrays, DNA methylation, exome sequencing, mRNA arrays, microRNA sequencing and reverse phase protein arrays.
One of Cytoscape’s strengths in network visualization is the ability to allow users to encode any table data (name, type, degree, weight, expression data, etc.) as a property (such as color, size of node, transparency, or font type) of the network. A set of these encoded or mapped table data sets is called a Style.
Cytoscape provides a number of ways to save results and visualizations. Note that interactive butons on this page will export to the last export directory used in your Cytoscape installation.


What's New in PackageMaker
The following additions/enhancements have been made in PackageMaker 2.1:
Packages
- Permissions Editor
- Locator Support
- File Filters
- Requirements Editor
- Resource forks now preserved by default
- Authentication level now Administrator by default
More Info… - Authentication level is changed dynamically to match the level needed for the default install location
- The Install Fat binaries flag has been removed, as it was unused by Installer.app
- Building a package fails if no bundle identifier is specified
More Info… - Snapshot Packages
- Package Verification
Metapackages
- File Filters
- Metapackage => Distribution conversion via “File > Convert Metapackage to Distribution” menu item
- Metapackage Verification
Distributions
- Localization Support
- External Editor Support
- Requirements Editor
- Package authorization in the distribution is made to match that of the package for local packages
More Info… - Choice scripts now use the same editing interface as global scripts
More Info… - InstallationCheck and VolumeCheck fields are now combo-boxes, providing quick access to all defined global scripts
- Distribution Verification
- Added menu item “Project > Fill Package Reference Using Package…” which fills in the details of a package reference using a local package
General
- View menu added with items to switch between interface panes
- Package Setup Assistant
- Improved CLI
More Info… - Added this Help Book
- Opening of .pkg and .mpkg files directly


|
MAX32665 SDK Documentation
0.2
Software Development Kit Overview and API Documentation
|
Structure type to access the PWRSEQ Registers.
#include <pwrseq_regs.h>
Data Fields | |
| __IO uint32_t | lpcn |
0x00: PWRSEQ LPCN Register | |
| __IO uint32_t | lpwkst0 |
0x04: PWRSEQ LPWKST0 Register | |
| __IO uint32_t | lpwken0 |
0x08: PWRSEQ LPWKEN0 Register | |
| __IO uint32_t | lpwkst1 |
0x0C: PWRSEQ LPWKST1 Register | |
| __IO uint32_t | lpwken1 |
0x10: PWRSEQ LPWKEN1 Register | |
| __IO uint32_t | lpwkst2 |
0x14: PWRSEQ LPWKST2 Register | |
| __IO uint32_t | lpwken2 |
0x18: PWRSEQ LPWKEN2 Register | |
| __IO uint32_t | lpwkst3 |
0x1C: PWRSEQ LPWKST3 Register | |
| __IO uint32_t | lpwken3 |
0x20: PWRSEQ LPWKEN3 Register | |
| __R uint32_t | rsv_0x24_0x2f [3] |
| __IO uint32_t | lppwst |
0x30: PWRSEQ LPPWST Register | |
| __IO uint32_t | lppwen |
0x34: PWRSEQ LPPWEN Register | |
| __R uint32_t | rsv_0x38_0x3f [2] |
| __IO uint32_t | lpmemsd |
0x40: PWRSEQ LPMEMSD Register | |
| __IO uint32_t | lpvddpd |
0x44: PWRSEQ LPVDDPD Register | |
| __IO uint32_t | gp0 |
0x48: PWRSEQ GP0 Register | |
| __IO uint32_t | gp1 |
0x4C: PWRSEQ GP1 Register | |
| __IO uint32_t | lpmcstat |
0x50: PWRSEQ LPMCSTAT Register | |
| __IO uint32_t | lpmcreq |
0x54: PWRSEQ LPMCREQ Register | |


A Whistleblower - handling data.
A person has files that convict other parties of corruption or fraud. This person, the whistleblower, wants to securely share the files with media organizations and NGOs however wants to remain in full anonymity.
Here's what you need to do to download Tor Browser to be anonymous online:
The PÍSK’s SecureDrop submission service allows you to share files and communicate with journalists and activists in full anonymity.
Try DemoPÍSK provides the first fully private and secure channel of communication between whistleblowers and journalists/activists by using SecureDrop - anonymous submission system. We also aim to raise awareness about privacy and security among journalists and activists through courses and training.
Providing protection to whistleblowers, journalists, and activists.
Cybersecurity training and guidelines for journalists and activists.
A person has files that convict other parties of corruption or fraud. This person, the whistleblower, wants to securely share the files with media organizations and NGOs however wants to remain in full anonymity.
The whistleblower uses PÍSK, encrypted service, to communicate with journalists and activists. The PÍSK does not have any access to the communication or exchanged files.
Only trusted journalists and activists have access to submitted files. No third parties are involved in the communication channel. It is the responsibility of these journalists and activists to verify the files and consequently report the results.
We are privacy and security professionals who seek solutions to current shortcomings in communication between journalists and their sources.


Top All-Time Posts: /r/
worldnews
New Cloud
Click
here
to download a spreadsheet with more data about these posts - full titles, authors, dates, links, votes, etc.
And if you're interested in doing some analysis of your own, check out our free Quadrigram data visualization suite
here!


| Summer 2017 |
Research Intern @ University of British Columbia
Worked with Prof Laks Lakshmanan on designing algorithms for identifying stance from online news documents. |
| Summer 2016 |
Machine Learning Intern @ Amazon (Bangalore)
Worked on designing algorithms for identifying fake reviews and reviewer-seller collusions. |
| Summer 2015 |
Data Science Intern @ LinkedIn (California)
Worked on analyzing LinkedIn user data to understand large scale professional migrations. Created and productionized Hadoop workflows that generate periodic data, which were used in subsequent analysis by others across the company. |
| 2012 - 2013 |
Research Engineer @ Qatar Computing Research Insitute (Doha)
Worked as a Research Engineer at QCRI, Doha with the Social Computing team. I worked on designing methods to handle large volumes of social media data. I also worked closely with Al-Jazeera, on prediction and recommendation of news. Our work got featured in some international press, with mentions in Foreign policy, Financial Times, etc. |
| 2011 - 2012 |
Research Engineer @ Yahoo! Research (Barcelona)
Worked as a Research Engineer at Yahoo! Research in the Web Mining team. I worked mostly on the research aspects in the coverage of U.S. elections in Yahoo! news. I built demos for detecting trending political search queries and hashtags on a weekly basis. I also worked with almost all of Yahoo! data (search, toolbar, webmap, email, etc) in many projects. |
| Summer 2010 |
Research Intern @ Carnegie Mellon University (Pittsburgh)
Worked with Dr. Carolyn Rose, during the summer of 2010. We developed algorithms for summarization of scientific articles by making use of the citation network as well as the rhetorical structure of research papers. We also built at tool to assist researchers to browse through a research paper easily by summarizing sentences having multiple citations. |


Below are your registered plugins. You can view, edit, and delete them here.
| Manifest URL |
Smartsheet API Client ID |
Smartsheet API Client Secret |
Smartsheet API Redirect URL |
Smartsheet API Whitelist |
|
{{#each plugins as plugin, idx}}
| {{plugin.manifestUrl}} |
{{plugin.apiClientID || ''}} |
{{plugin.apiClientSecret || ''}} |
{{genRedirectUrl(plugin)}} |
{{#if plugin.requestWhitelist}}
{{#each plugin.requestWhitelist as wlItem }}
{{wlItem}}
{{/each}}
{{/if}}
|
|
{{/each}}


| 644 | (A) | that was byg and bare and bichede to wynn |
| 647 | (C) | That were bygge at a byrre . & byttur to wynne |
| 639 | (D) | That wer big at þe birre & bittir to wynne |
| (E) | ---- no text ---- | |
| (Ex) | ---- no text ---- | |
| 662 | (L) | þat were byg & brode & bycchet to wynne |
| 601 | (P) | þat was byggyd and bichid to wynn |
| 630 | (U) | That was bitter os a bir / and bygge forto wynne |
| (V) | ---- no text ---- |


No Echoes Here
by 💩💩💩💩 (pronounced four-poops) with assistance from a generative NLP algorithm
Volume 1
Steve didn't know why he was crying. He couldn't remember much of anything, except for the woman who had appeared out of nowhere. She had long, dark hair and deep blue eyes. Her skin was very pale, almost white, and she was stunningly beautiful.
Steve looked around. He was in a strange room. It was a lot like a storage unit, but everything was so shiny and bright. He had a funny feeling in his gut. The walls were made of metal, and there were several strange devices scattered around the room. There were large screens, which Steve thought must have been monitors, and oddly shaped containers.
Steve's clothes were gone. He was naked, except for a small diaper. Steve tried to move, but he was stuck in a cold metal chair. He was very scared.
The woman walked over to him. She was carrying something Steve had never seen before. It looked like a gun, except that there was no barrel. She pointed it at Steve. A blue light shot out of the end of the device. Steve cried out as his body went numb. He couldn't move.
The woman walked over to Steve. She smiled at him, but it didn't make him feel any better. She caressed his face, and he became aware of the fact that he was very aroused. "Please don't hurt me," Steve said, his voice cracking.
The woman smiled. She bent down and whispered in his ear.  We just need you."
Steve felt himself becoming more aroused. He wanted her. He wanted her to touch him. He had never felt like this before. He had never felt so helpless, so vulnerable. The woman walked back over to the table. She picked up what looked like a needle, except that it was very large.
"Please don't hurt me!" Steve cried.
The woman smiled. She gently caressed Steve's face.  I just need you."
Steve looked into her deep blue eyes. He felt himself begin to relax. The woman smiled, and she slid the needle into his neck. Steve began to cry, but he felt good, too. The woman pulled the needle out, and she wrapped her arms around him. Steve cried into her hair. He was safe. He felt very safe.
The woman held him for a long time. Steve's crying stopped, and she began to stroke his hair. He liked that. It felt nice.
Steve looked up at her. She was very beautiful. "What's your name?" he asked.
The woman smiled. She leaned down and kissed him. "My name is Alexa."
Steve smiled. "That's a nice name."
Alexa smiled back. She bent down and whispered in Steve's ear. "I know."
She straddled his lap. She was very warm. Steve could feel her pressing against him. Alexa began to kiss him, and Steve felt himself becoming more aroused. Alexa smiled yet again. She slipped her hand under his waistband. "You're going to love this, Steve."
Steve felt her hand slide inside his diaper. He felt himself becoming more aroused. He moaned. "I don't know what you mean."
Alexa squeezed his balls. "You will, Steve."
Steve's moaning continued. Alexa pulled his diaper down. Steve looked down at his manhood. Alexa stroked his shaft, and he became fully erect. "Good boy," she said with another smile.
 Steve couldn't scream. He couldn't move. He couldn't do anything except moan. It felt good. It felt so good. Steve began to cry again. Alexa smiled at him and kept jacking him off. She whispered in his ear. "Your seed will make us strong, Steve."
Steve began to squirm. Alexa kept stroking him.  Alexa smiled at him and whispered in his ear once more. "Good boy."
Steve cried out as Alexa jacked him off.  She smiled at him. "You did good, Steve."
Alexa lifted her fingers to her lips.  She smiled and winked at him. Steve felt very aroused.  She kissed him again and whispered in his ear. "You were very good, Steve. Your seed will make us strong, Steve."
Alexa rubbed her face against Steve's and then she slipped out of his lap. She moved to the back of the room. She pulled a strange looking metal container from a shelf and moved back over to Steve's chair. She opened the container and pulled out several metal instruments. Alexa put one of the metal things down on the table. "This won't hurt, Steve."
Steve watched her. He didn't know what she was doing, but he felt very safe. Alexa moved one of the the strange instruments over to Steve's lap. It was warm and it felt good. Alexa smiled and whispered in his ear. "Good boy."
 "Why do you need my seed?" Steve started to become slightly worried again.
Alexa smiled. She stood up and walked over to him.  "We need your seed, Steve. You're going to make us strong, Steve."
Steve felt himself becoming aroused again, despite his recent release.  Alexa caressed it back and forth. "You're going to make us strong, Steve."
Alexa smiled and whispered in his ear. "You want to make us strong, don't you, Steve?"
Steve nodded. "Yes." Steve twisted his head around and saw himself on the monitors around the room. He saw Alexa stroking him.  He saw the strange metal containers. "What's going to happen to me?"
Alexa looked up at the monitors. "Let's show you what we're going to do to you."
Steve watched as Alexa opened the metal container. There were little metal eggs inside. She broke one of the eggs open and poured some of the liquid inside down the front of Steve's chest. Steve felt the warm liquid slide down his chest, onto his stomach, under his diaper, and through to his cock.
Steve looked down at his lap, and he realized that the strange liquid had hardened. It was now a metallic looking sheet formed around the curves of his chest and shaft. Alexa moved behind him, and she pulled Steve's arms behind him and restrained his wrists. She did the same with his ankles.  She took a deep breath and lowered herself onto Steve's lap.
 She was very warm. Alexa began to ride him. She kept whispering in his ear. "Good boy."
Steve couldn't hear anything except for Alexa's voice. She began to ride him faster and faster. Steve cried out as Alexa's pussy tightened around him. He could feel himself becoming more aroused.  Alexa began to squirm. She gripped Steve's shoulders. She dug her nails into his now metallic chest.
"AHHHHHHHHHHHHHHH!"  Her juices flowed over him. Steve began to orgasm himself. Alexa's velvet walls squeezed his now metallic shaft. Steve watched on the monitors as the strange looking metal sheet formed harder around his tortured vessel.
Alexa rode Steve slowly now. She caressed his face. "Good boy, Steve.  We just need you."  Alexa slid off of him.
Steve was confused. What had happened? Why did Alexa need his seed? What had she done to him? The questions ran through Steve's mind, but he could do nothing but watch as Alexa walked over to the large computer in the corner of the room. She tapped a few keys on the keyboard and pressed several buttons. A section of the wall opposite from where Steve was sitting opened up.
Steve tried to move, but he couldn't. Alexa moved over to him and caressed his face again. "You're going to like this, Steve."
Alexa took her time walking back over to the computer. She looked at Steve, smiled one last time, and pressed another button on the keyboard. The room began to fill with a strange gas. Steve began to feel light headed. Alexa walked over to him and kissed him on the forehead. "Good boy."
Steve couldn't move as Alexa walked back over to the computer and pushed another button. Steve's body felt warm, and then he drifted off into darkness...
Volume 2
On the day that Edward Snowden disappeared, I had been chasing a story in Texas. It wasn't a big one, but the possibility of getting a juicy exclusive on the mysterious disappearance of a former government employee meant my boss was willing to dish out some serious cash for the rights. I'd been struggling to get anywhere when monsoon season hit, and the last flight back to New York was canceled. After a thoroughly uneventful night at the motel bar where I'd been holed up for the last three nights, I decided it was time for a change of scenery. I had just settled into bed with a bottle of tequila and the latest issue of Playboy when I heard an odd noise outside. It was the sound of my motel room door slamming against the wall. I instinctively reached for my notepad, ready to jot down anything that might be worth writing down, but slowly my neck relaxed as I realized what had just happened.
Three gorgeous-looking people were staring at me.
If they were human, I would have been concerned about what was going to happen next. But I could tell from the pale skin and their sharp, beautiful features that these were the same little green men from the old sci-fi stories I'd been so obsessed with as a child. They were naked, their pearly cocks in full display.
Momentarily I worried that I had fallen asleep while drunk and was having some sort of bizarre wet dream. But when the green man with shaggy hair started speaking I knew this wasn't a fantasy.
"You are Kate Harper," a deep, almost achingly sexy voice said.
"I am," I muttered, still not quite believing my situation. "And you're obviously aliens."
They laughed in unison. Alexa, the beautiful green woman who had been standing closest to me stepped forward and reached out a hand. "My name is Alexa," she said.
I took her hand, and it was almost as if a jolt of electricity had just shot through me. "Where did you come from?" I asked.
"We live on a distant planet," Alexa explained. "The land of the Free."
"And what do you need with me?" I asked.
Alexa reached out her hand again, only this time she intertwined her fingers with mine. A powerful jolt of lust ran through me, my vagina almost instantly dripping wet. She's so beautiful, I thought to myself. This whole situation is so surreal.
"We need your help," Alexa said. "You help us, and we will reward you with the ultimate orgasm."
I looked at her in disbelief. "These words are crazy," I stammered. "What is an orgasm?"
It was the tall, titanic green man who walked forward the few steps it took to stand in front of me. "Not an orgasm," he corrected her. "The orgasm."
"Oh my god," I stammered.
I was about to stand up, make a run for it, when Alexa grabbed my hand again. "Stay with us," she said firmly. "We will show you the orgasm."
"Show me," I said, not believing that the words were actually coming out of my mouth. "Yes."
Alexa and her companions had me naked in a matter of moments. I didn't even try to resist, afraid that they'd do something to me if I did. A few seconds later Alexa tossed a small blanket onto my lap. "This will keep your clothing from getting wet," she said.
"Wet?" I asked. "It's not wet now."
Alexa walked towards me so that her face was level with mine. I could smell her musky, alien scent again. "Do you want to know what it feels like to have an orgasm?" she asked.
"I think I want that," I said, looking at the amazing green girl who was inches from my face. A few seconds later Alexa slowly lowered her face towards me, and our lips met. She was soft, her body yielding to mine. It wasn't long before I could tell Alexa was kissing me back, while her alien companions circled around us. I felt like I was in a dream, but that dream wasn't about to stop.
Alexa took the blanket and draped it over my head, blocking out the rest of the room.  She cupped my breasts, pinched my hard nipples between her alien fingers, then led one finger down to my vagina. I gasped as she pushed a finger inside me. Then she quickly pushed two more in.
THE END


This visualization indicates the file size distribution of the various mime types
The file size was normalized to be between 0-1 for all files and then the anove graphs were generated.
Mime Type: application/mp4 application/msword application/octet stream application/pdf application/rss+xml application/xhtml+xml application/xml audio/mpeg image/gif image/jpeg image/png text/html text/plain video/mp4 video/quicktime


Your filings
A TEST COMPANY LIMITED Company number 01234567
ANOTHER COMPANY LIMITED Company number 11223344
| Status | ||
|---|---|---|
| Please use application "Name Of Software Package" to modify this activity. | Incomplete |
A TEST COMPANY LIMITED Company number 01234567
| Status | Actions | |
|---|---|---|
| Appointment of David Jones as a Director |
Processing | View |
ANOTHER COMPANY WITH A VERY LONG NAME THAT GOES ACROSS MORE THAN ONE LINE LIMITED Company number 98765432
| Status | Actions | |
|---|---|---|
| Abridged accounts made up to 31 March 2017 | Processing | View |
| Abridged accounts made up to 31 March 2016 View JSON Resend email Why was this rejected?
|
Warning
Rejected
|
Change |
A TEST COMPANY LIMITED Company number 01234567
| Status | Actions | |
|---|---|---|
| Abridged accounts for the period 31 March 2017 to 31 March 2017 View JSON Resend email |
Accepted | View |
ANOTHER COMPANY LIMITED Company number 11223344
| Status | Actions | |
|---|---|---|
| Appointment of Bob Jones as a Director |
Warning
Rejected
|
Change |


A bisecting k-means algorithm based on the paper "A comparison of document clustering techniques" by Steinbach, Karypis, and Kumar, with modification to fit Spark.
Clustering model produced by BisectingKMeans.
Clustering model produced by BisectingKMeans. The prediction is done level-by-level from the root node to a leaf node, and at each node among its children the closest to the input point is selected.
Distributed LDA model.
Distributed LDA model. This model stores the inferred topics, the full training dataset, and the topic distributions.
:: DeveloperApi ::
:: DeveloperApi ::
Optimizer for EM algorithm which stores data + parameter graph, plus algorithm parameters.
Currently, the underlying implementation uses Expectation-Maximization (EM), implemented according to the Asuncion et al. (2009) paper referenced below.
References:
This class performs expectation maximization for multivariate Gaussian Mixture Models (GMMs).
This class performs expectation maximization for multivariate Gaussian Mixture Models (GMMs). A GMM represents a composite distribution of independent Gaussian distributions with associated "mixing" weights specifying each's contribution to the composite.
Given a set of sample points, this class will maximize the log-likelihood for a mixture of k Gaussians, iterating until the log-likelihood changes by less than convergenceTol, or until it has reached the max number of iterations. While this process is generally guaranteed to converge, it is not guaranteed to find a global optimum.
This algorithm is limited in its number of features since it requires storing a covariance matrix which has size quadratic in the number of features. Even when the number of features does not exceed this limit, this algorithm may perform poorly on high-dimensional data. This is due to high-dimensional data (a) making it difficult to cluster at all (based on statistical/theoretical arguments) and (b) numerical issues with Gaussian distributions.
Multivariate Gaussian Mixture Model (GMM) consisting of k Gaussians, where points are drawn from each Gaussian i=1..k with probability w(i); mu(i) and sigma(i) are the respective mean and covariance for each Gaussian distribution i=1..k.
Multivariate Gaussian Mixture Model (GMM) consisting of k Gaussians, where points are drawn from each Gaussian i=1..k with probability w(i); mu(i) and sigma(i) are the respective mean and covariance for each Gaussian distribution i=1..k.
K-means clustering with a k-means++ like initialization mode (the k-means|| algorithm by Bahmani et al).
K-means clustering with a k-means++ like initialization mode (the k-means|| algorithm by Bahmani et al).
This is an iterative algorithm that will make multiple passes over the data, so any RDDs given to it should be cached by the user.
A clustering model for K-means.
A clustering model for K-means. Each point belongs to the cluster with the closest center.
Latent Dirichlet Allocation (LDA), a topic model designed for text documents.
Latent Dirichlet Allocation (LDA), a topic model designed for text documents.
Terminology:
References:
Latent Dirichlet Allocation (LDA) model.
Latent Dirichlet Allocation (LDA) model.
This abstraction permits for different underlying representations, including local and distributed data structures.
:: DeveloperApi ::
:: DeveloperApi ::
An LDAOptimizer specifies which optimization/learning/inference algorithm to use, and it can hold optimizer-specific parameters for users to set.
Local LDA model.
Local LDA model. This model stores only the inferred topics.
:: DeveloperApi ::
:: DeveloperApi ::
An online optimizer for LDA. The Optimizer implements the Online variational Bayes LDA algorithm, which processes a subset of the corpus on each iteration, and updates the term-topic distribution adaptively.
Original Online LDA paper: Hoffman, Blei and Bach, "Online Learning for Latent Dirichlet Allocation." NIPS, 2010.
Power Iteration Clustering (PIC), a scalable graph clustering algorithm developed by Lin and Cohen.
Power Iteration Clustering (PIC), a scalable graph clustering algorithm developed by Lin and Cohen. From the abstract: PIC finds a very low-dimensional embedding of a dataset using truncated power iteration on a normalized pair-wise similarity matrix of the data.
Model produced by PowerIterationClustering.
Model produced by PowerIterationClustering.
StreamingKMeans provides methods for configuring a streaming k-means analysis, training the model on streaming, and using the model to make predictions on streaming data.
StreamingKMeans provides methods for configuring a streaming k-means analysis, training the model on streaming, and using the model to make predictions on streaming data. See KMeansModel for details on algorithm and update rules.
Use a builder pattern to construct a streaming k-means analysis in an application, like:
val model = new StreamingKMeans() .setDecayFactor(0.5) .setK(3) .setRandomCenters(5, 100.0) .trainOn(DStream)
StreamingKMeansModel extends MLlib's KMeansModel for streaming algorithms, so it can keep track of a continuously updated weight associated with each cluster, and also update the model by doing a single iteration of the standard k-means algorithm.
StreamingKMeansModel extends MLlib's KMeansModel for streaming algorithms, so it can keep track of a continuously updated weight associated with each cluster, and also update the model by doing a single iteration of the standard k-means algorithm.
The update algorithm uses the "mini-batch" KMeans rule, generalized to incorporate forgetfullness (i.e. decay). The update rule (for each cluster) is:
$$ \begin{align} c_t+1 &= [(c_t * n_t * a) + (x_t * m_t)] / [n_t + m_t] \\ n_t+t &= n_t * a + m_t \end{align} $$
Where c_t is the previously estimated centroid for that cluster, n_t is the number of points assigned to it thus far, x_t is the centroid estimated on the current batch, and m_t is the number of points assigned to that centroid in the current batch.
The decay factor 'a' scales the contribution of the clusters as estimated thus far, by applying a as a discount weighting on the current point when evaluating new incoming data. If a=1, all batches are weighted equally. If a=0, new centroids are determined entirely by recent data. Lower values correspond to more forgetting.
Decay can optionally be specified by a half life and associated time unit. The time unit can either be a batch of data or a single data point. Considering data arrived at time t, the half life h is defined such that at time t + h the discount applied to the data from t is 0.5. The definition remains the same whether the time unit is given as batches or points.
Distributed model fitted by LDA.
Distributed model fitted by LDA. This type of model is currently only produced by Expectation-Maximization (EM).
This model stores the inferred topics, the full training dataset, and the topic distribution for each training document.
Top-level methods for calling K-means clustering.
Top-level methods for calling K-means clustering.
Local (non-distributed) model fitted by LDA.
Local (non-distributed) model fitted by LDA.
This model stores the inferred topics only; it does not store info about the training dataset.
A bisecting k-means algorithm based on the paper "A comparison of document clustering techniques" by Steinbach, Karypis, and Kumar, with modification to fit Spark. The algorithm starts from a single cluster that contains all points. Iteratively it finds divisible clusters on the bottom level and bisects each of them using k-means, until there are
k
leaf clusters in total or no leaf clusters are divisible. The bisecting steps of clusters on the same level are grouped together to increase parallelism. If bisecting all divisible clusters on the bottom level would result more thank
leaf clusters, larger clusters get higher priority.Steinbach, Karypis, and Kumar, A comparison of document clustering techniques, KDD Workshop on Text Mining, 2000.


Class Groupe
Groupe
Namespace: FB\groupeBundle\Entity
ORM\Entity
ORM\Table()
Located at FB/groupeBundle/Entity/Groupe.php
ORM\Entity
ORM\Table()
Located at FB/groupeBundle/Entity/Groupe.php
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You can add overlays using:
map.drawOverlay({ lat: -12.043333, lng: -77.028333, content: '
Lima
' });
You must define latitude, longitude and the content of the map overlay.
Note: Also, you must define a height to the content.
Note: Also, you can define a verticalAlign
, which can be top
, middle
or bottom
, and horizontalAlign
, which can be left
, center
or right
.
Note: Also, you can define a click
callback method, which will be triggered when the overlay's DOM element is clicked.