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The size of the subset will be the square root of the total number of input fields. So if there are 100 input fields, each split will only consider 10 fields randomly chosen from the 100. Every split will choose a new subset of fields.

Although randomize could be used for other purposes, it's intended for growing random decision forests. To grow tree models for a random forest, set randomize to true and select a sample from the dataset. Traditionally this is a 1.

Once a model has been successfully created it will have the following properties.

This will be 201 upon successful creation of the model and 200 afterwards. Make sure that you check the code that comes with the status attribute to make sure that the model creation has been completed without errors.

This is the date and time in which the model was created with microsecond precision. It has an entry per each field type (categorical, datetime, numeric, and text), an entry for preferred fields, and an entry for the total number of fields. It includes a very intuitive description of the tree-like structure that makes the model up and the field's dictionary describing the fields and their summaries.

In a future version, you will be able to share models with other co-workers or, if desired, make them publicly available. This is the date and time in which the model was updated with microsecond precision.

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A Model Object has the following properties: Creating a model is a process that can take just a few seconds or a few days depending on the size of the dataset used as input and on the workload of BigML's systems. The model goes through a number of states until its fully completed. Through the status field in the model you can determine when the model has been fully processed and ready to be used to create predictions.

Support is a number from 0 to 1 that specifies the minimum fraction of the total number of instances that a given branch must cover to be retained in the resulting tree. If you repeat the support parameter in the query string, the last one is used.

Non-parseable support values are ignored. Value is a concrete value or interval of values (for regression trees) that a leaf must predict to be kept in the returning tree. Intervals can be closed or open in either end. Confidence is a concrete value or interval of values that a leaf must have to be kept in the returning tree. The specification of intervals follows the same conventions as those of value. Since confidences are a continuous value, the most common case will be asking for a range, but the service will accept also individual values.

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It's also possible to specify both a value and a confidence. Finally, note that it is also possible to specify support, value, and confidence parameters in the same query.

Filtering and Paginating Fields from a Model A model might be composed of hundreds or even thousands of fields.

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Thus when retrieving a model, it's possible to specify that only a subset of fields be retrieved, by using any combination of the following parameters in the query string (unrecognized parameters are ignored): Fields Filter Parameters Parameter TypeDescription fields optional Comma-separated list A comma-separated list of field IDs to retrieve.

To update a model, you need to PUT an object containing the fields that you want to update to the model' s base URL. Once you delete a model, it is permanently deleted. If you try to delete a model a second time, or a model that does not exist, you will receive a "404 not found" response.The Critical Assessment of protein Structure Prediction (CASP) experiments aim at establishing the current state of the art in protein structure prediction, identifying what progress has been made, and highlighting where future effort may be most productively focused.

There have been eleven previous CASP experiments. The twelfth experiment is planned to start in May 2016. Welcome to the Protein Structure Prediction Center.

In November 2011 we have opened a new rolling CASP experiment for all-year-round testing of ab initio modeling methods: CASP ROLL Details of the experiments have been published in a scientific journal Proteins: Structure, Function and Bioinformatics. CASP proceedings include papers describing the structure and conduct of the experiments, the numerical evaluation measures, reports from the assessment teams highlighting state of the art in different prediction categories, methods from some of the most successful prediction teams, and progress in various aspects of the modeling.

Summary of numerical evaluation of the methods tested in the latest CASP experiment can be found on this web page. The latter paper also contains explanations of data handling procedures and guidelines for navigating the data presented on this website. Some of the best performing methods are implemented as fully automated servers and therefore can be used by public for protein structure modeling. Conference in memory of Anna Tramontano, University of Rome, July 14, 2017Dear CASP Community: We are writing to share the announcement of the upcoming Conference dedicated to the memory of Anna Tramontano.

The Conference will be hosted by the University of Rome on July 14. Anna Tramontano Dear members of the CASP community, We write with the very very sad news that Anna Tramontano died last night.

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As you probably know, Anna was a mainstay of CASP from almost the beginning, first. The arrival of Donald Trump in the White House and elections in France and Germany will highlight the increasing power of new communication channels as traditional media continues to lose both influence and money. Artificial Intelligence (AI) takes over from mobile as the hottest topic in technology, though the practical and ethical dilemmas around how it will be used become ever more apparent through the year.

Sign up for the Snopes. Know of a rumor you want investigated. Lonely and just want to chat. Select from one of these options to get in touch with us: A video documents that The Simpsons anticipated in 2000 how Donald Trump would announce his presidential candidacy in 2015. See Example( s )In August 2015, a video claiming that episodes of the Fox animated series The Simpsons had made some eerily accurate predictions about future events began circulating via social media.

Most notable among those predictions was a clip purportedly taken from a 2000 episode that showed business magnate Donald Trump announcing his candidacy for President of the United States:I want people to realize the synchronicity here and all the connections.

This was put out in 2000. Now this is happening. While the above-displayed video touches on a wide variety of Simpsons related conspiracy theories, the main issue was highlighted in September 2015 with a photograph one that not only documented that The Simpsons had depicted Donald Trump running for President back in 2000, but that they did so by showing him in a setting and pose (riding an escalator while waving to supporters and onlookers) identical to one he would assume fifteen years later:The images from The Simpsons shown on the left-hand side of the above-displayed graphic did not originate in 2000, however.

Burns and a dog kneeling in front of an electoral map is real, but it has little to do with Donald Trump it was taken from a 2012 clip in which the greedy billionaire of Springfield endorsed Republican candidate Mitt Romney:Furthermore, this Simpsons screenshot is being compared to an electoral map that does not match the genuine map of the 2016 presidential election.

Updated Allegations of a "quid pro quo" deal giving Russia ownership of one-fifth of U. Updated A rumor that Starbucks refused free product to Marines serving in Iraq, saying the company didn't support the war or anyone taking part in it, is both old and false. Updated Rumors that service station customers are getting stuck by HIV-loaded syringes affixed to gas pump handles are a hoax. We are experiencing some issues with our feedback form.

We are experiencing some issues with our forms. Our development team is working on a solution. Select from one of these options to get in touch with us: Submit a Rumor Website Feedback Advertising Inquiry cancel 28K Fact Check Entertainment 28K CLAIM A video documents that The Simpsons anticipated in 2000 how Donald Trump would announce his presidential candidacy in 2015.

See Example( s ) EXAMPLES Collected via e-mail, September 2015 Did the Simpsons actually air an episode predicting Donald Trump's presidential campaign kickoff fifteen (15) years ago.

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She has beaten fancied Johanna Konta, Svetlana Kuznetsova and Angelique Kerber in recent months, proving she can still mix it with the big beasts of ladies tennis. She thrashed Konta in Birmingham and is an excellent grass player. She also beat Kerber, the World No1, in straight sets in the Australian Open and her heart-on-the-sleeve style of tennis is always good to watch. Get the latest tips, betting offers and promotions on the go with the Betting Expert app.

Promo content provided courtesy of iTunes. Bet365 Group Ltd (styled as "bet365") is a British online gambling company based in the United Kingdom. Bet365 is one of the world's leading online gambling groups with over 19 million customers in almost two hundred countries. The Group employs over 3,000 people and is the largest private employer in the city of Stoke-on-Trent. Bet365 also offers an on-course bookmaking service. Bet365's casino, games and poker operations are licensed and regulated by the Government of Gibraltar too.

In addition to the company headquarters in Stoke-on-Trent, Bet365 have further offices in Gibraltar and Australia. The Australian business is regulated and licensed by the Northern Territory Government, with one hundred staff employed in Darwin. Jackson represents the company in their Australian TV advertising. Bet365's site supports a variety of payment methods, including bank transfer and Neovia, in 25 currencies. Chairman Peter Coates also has the same position at Stoke City and in May 2012 Bet365 signed a three-year contract with the club to become shirt sponsors.

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The influencer model is now maturing, as more refined methods are put into practice, platforms are becoming more iconic, and agencies realize that they need to jump on the influencer marketing bandwagon or else they will be left behind in the marketing Dark Ages. So, how do we at the Influencer Marketing Hub expect influencer marketing to evolve over the remainder of this year.

Here are our predictions for influencer marketing in 2017. Influencer marketing grew out of celebrity endorsement. It would be like trying to use Madonna to promote your range of heavy duty power tools - or Ronaldo to promote your opera glasses. They are micro-influencers - people who have high engagement and huge followings in a relatively niche area of interest. We believe that 2017 will see a huge increase in the number of brands working with micro-influencers.

Big brands will continue to work with celebrities, although even they will try to better align their brands with celebrities who are more relevant to their product. However, the bulk of brands will focus on working with laser-targeted micro-influencers. Celebrity influencers have always been paid - in many cases extremely well - to promote brands and their products.

Micro-influencers, however, have not always fared so well. To an extent, this is probably because of the organic way that relationships often develop.

This is particularly the case when brands use influencers to amplify their own material. Often this relationship has been built up gradually, perhaps with a few comments on a blog or sharing an influencer's social media posts. Some brands try to speed the process up by providing incentives to influencers to help them out. This has traditionally been through some form of barter. For instance, brands often provide free products to influencers who review their products.

Influencers have become savvier of late, however. Many have signed up to influencer platforms and actively work with brands. As brands can see the worth in this process, they are beginning to pay influencers - with real money, not barter. We believe that this process will accelerate this year. Micro-influencers will always be much cheaper than celebrity influencers, and because they identify so well with their target audience, they will often be more effective for a brand.

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Although agencies have started to add influencer marketing to their mix, they have been comparatively slow to endorse it. This is probably because of the relatively organic way that influencer marketing has evolved. It is often small businesses or teams working company social media accounts in-house who experiment with using influencers to promote their products.

Of course, agencies have always had involvement with celebrity endorsements, so many have dipped into influencer marketing involving celebrity influencers.

A few specialist influencer marketing agencies, such as IMA and Mediakix have lead the way, though, and as influencer marketing evolves more mainstream agencies will include influencer marketing in their full-service offerings.

This will continue through 2017, with agencies working more with platforms to have a roster of influencer talent available for brands to work with.

This is another reason why we expect there to be a movement towards standard pay rates over the coming year rather than simple barter transactions. There seem to be new social media networks built every year. Some thrive, some like Tsu shrink away and eventually die.