Regularizing with respect to the l1 norm causes more coefficients to be zero, using the l2 norm forces the magnitudes of all coefficients towards zero. Example: "l1" replacement optional Boolean,default is false Whether sampling should be performed with or without replacement. The minimum between that number and the total number of input rows will be used. Example: 1000 tags optional Array of Strings A list of strings that help classify and index your logistic regression.
By default, they are "one-hot" coded. That is, one numeric variable is created per categorical value, plus one for missing values. For a given instance, the variable corresponding to the instance's categorical value has its value set to 1, while the other variables are set to 0.
Using the iris dataset as an example, we can express this coding scheme as the following table:The parameter value is an array where each element is a map describing the coding scheme to apply to a particular field, and containing the following keys:The value for coding determines which of the following methods is used to code the field: If multiple coding schemes are listed for a single field, then the coding closest to the end of the list is used.
Codings given for non-categorical variables are ignored. The dummy class will be the first by alphabetical order. This is because the default one-hot encoding produces collinearity effects which result in an ill-formed covariance matrix. You can also use curl to customize a new logistic regression.
Once a logistic regression has been successfully created it will have the following properties. The coefficients output field is an array of pairs, one pair per class. The first element in the pair is a class value, and the second element is a nested array of coefficients for the logistic model that gives the probability of that class.
Each inner array within the nested array contains the group of coefficients that pertain to a single input field. The class-coefficient pairs are listed in the same order as the class values in the objective field summary. If the model was trained with missing values in the objective field, then a vector of coefficients will also be created for the missing class value, labeled with "", and listed last. These are found under a field named stats. It is possible for null to appear among the values contained in stats.
Wald test statistics cannot be computed for zero-value coefficients, and so their corresponding entries are null. Moreover, if the coefficients' information matrix is ill-conditioned, e. Creating a logistic regression 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 logistic regression goes through a number of states until its fully completed. Through the status field in the logistic regression you can determine when the logistic regression has been fully processed and ready to be used to create predictions.
Thus when retrieving a logisticregression, 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 logistic regression, you need to PUT an object containing the fields that you want to update to the logistic regression' s base URL.We carefully analyse football matches Provide expert picks for our users Affordable to all serious players We provide at least over 800 well analysed games per month Sportpesa Mid week and Mega jackpot analysis Tips for Sportpesa, Betway, Betin, Dafabet, Supabet, Elitebet, Mcheza, Betpawa etc Thousands of smart Kenyans use our Tips daily!!.
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Article - McKinsey Quarterly - October 2016 Chinese consumers: Revisiting our predictions By Yuval Atsmon and Max Magni Chinese consumers: Revisiting our predictions Article Actions Share this article on LinkedIn Share this article on Twitter Share this article on Facebook Email this article Download this article As their incomes rise, Chinese consumers are trading up and going beyond necessities.
In 2011, we tried our hand at predicting the ways in which, in the decade to come, Chinese consumers would change their preferences and behaviors. This article takes stock of those predictions.
Why check in now. Another is a comprehensive new McKinsey survey, which follows nearly ten years of previous research that includes interviews with more than 60,000 people in upward of 60 cities in China. Deeper and more nuanced understanding of Chinese consumers can help reveal fresh opportunitiesfor new entrants and incumbents alikeand signal those areas where established players may need to be more wary.
While geographic differences persist, Chinese consumers are, on the whole, more individualistic, more willing to pay for nonnecessities and discretionary items, more brand loyal, and more willing to trade up to more expensive purchaseseven as their hallmark pragmatism endures. Just as it was then, generalizing about Chinese consumers continues to be almost as difficult (and maybe as foolish) as it is to generalize about European consumers. We predicted these differences would remainand even grow more significant, especially in the consumption patterns and tastes that relate to discretionary items.
To help companies better tailor their go-to-market approach, we grouped most cities in China into clusters based on their similarities, including their geographic proximity and the transportation infrastructure that connects them. Furthermore, when our latest survey compared the consumers in the Shanghai area to those around Beijing and Hangzhou, certain spending attitudes also showed marked differences.
For example, brand loyalty increased much faster in Shanghai (24 percent increase in three years versus just 7 percent in Beijing and 9 percent in Hangzhou), as did the willingness to pay for better or healthier products.
Despite geographic differences, there are broad similarities among Chinese consumers. These mirror the general trends economists have found among consumers around the world as economies develop. The general tendency is for consumers, as they earn more, to spend a lower percentage of their income on food, a little more on healthcare, and even more on travel and transportation, as well as on recreational activities.
It was no great stretch then, in our report five years ago, to predict a significant shift in consumption from necessities and seminecessities into discretionary categories.
Sure enough, our new survey shows Chinese consumers following the anticipated pattern. When we asked how they plan to increase spending as their income increases, dramatically fewer consumers said they will increase it on food (46 percent in the latest survey, compared to the 76 percent who said they would do so three years earlier).Main Card Results WinnerLoserMethod Conor McGregorJose AldoKnockout Luke RockholdChris WeidmanTKO Yoel RomeroRonaldo "Jacare" SouzaSplit Decision Demian MaiaGunnar NelsonUnanimous Decision Max HollowayJeremy StephensUnanimous Decision DateEventHeadlining MatchLocation October 7 UFC 216 Tony Ferguson vs.
Kevin Lee Las Vegas: T-Mobile Arena October 19 Golden Boy Boxing on ESPN Gabriel Rosado vs. Glen Tapia Las Vegas: Park Theater October 21 UFC Fight Night 118 Donald Cerrone vs. Darren Till Gdansk, Poland October 28 UFC Fight Night 119 Lyoto Machida vs. Derek Brunson Sao Paulo November 4 UFC 217 Michael Bisping vs.
McGregor fight Written by Nikhil Sonnad August 26, 2017 We're both gonna be rich anyway. But how much they win or lose depends on the betting odds for the fight between Floyd Mayweather and Conor McGregor, which have changed dramatically since they were first recorded. Mayweather has an inhuman 49-0 record in boxing matches, while McGregora mixed martial arts and UFC fighterhas not fought any pure boxing matches professionally. That imbalance has made Mayweather a massive favorite, but since the fight date was announced in June, the odds have tightened.
Those numbers require some explanation of the weird betting odds system used in the United States, called moneylines. So the more negative the moneyline for an outcome, the more likely betting markets think that outcome is. The biggest winners, of course, will be Mayweather and McGregor, who, win or lose, stand to earn hundreds of millions of dollars.
McGregor: The latest odds and how the betting moneyline has changed over time","facebookTitle":"How the odds have changed for the Mayweather vs. McGregor fight","facebookDescription":"The moneylines for the match are getting closer and closer. We'll be back soon. Vegas reveals the betting odds Contributed by Jordan Zakarin Sep 6, 2017 Share This Post Shared 2 Comments Once again, Lucasfilm has removed a director from a Star Wars film.
After booting Chris Miller and Phil Lord from the Han Solo spinoff this summer, and sidelining Gareth Edwards for big reshoots and edits on last winter's Rogue One, the latest forsaken filmmaker is Colin Trevorrow, who will no longer be at the helm of the untitled Episode IX. By now we know the drill: Lucasfilm releases a statement (or not, in the case of Edwards), fans speculate as trade reporters scramble for insight, and then a few days later, a new director is named.
Now there's a new wrinkle in the process: During that speculating phase, people can put their money where their fan theories are by placing bets on who will fill the biggest job opening in the galaxy.
Raphael Esparza works for Doc Sports and My Bookie, and lays out lines on not only sports, but pop culture events as well. He's put odds on various Game of Thrones twists, and even Rey's parentage. Abrams boy, and has great experience with visual effects. She would add a female influence that I think Star Wars IX will have. Shana O'Neil Sep 12, 2017 Star Wars: Episode IX opinion Star Wars: Dissecting the director changes in a galaxy far, far away Lucas Siegel Sep 5, 2017 Star Wars Star Wars: Episode IX Star Wars: Episode IX lands new writer Matthew Jackson Aug 1, 2017 J.En Suite (11) Scratched 5.
Royal Ruby (9) 8. Chic (3) TAUTU looked the part at Awapuni and appears to have scope for further improvement. EN SUITE and ROYAL RUBY deserve to be respected and CHIC is inconsistent but a serious chance if she brings her best.
Star Of Greenbeel (3) 2. Kamanda Lincoln (2) 5. High Quality (6) Small but open affair with 5 of the 6 appearing to have winning chances.
STAR OF GREENBEEL looks well placed over the distance and will run it out better than most if not all of them. KAMANDA LINCOLN was very poor last start but he's better than that. KELIB and HUNTA PENCE have to be respected. Heineken Rocks (4) 4.
Fishermans Blues (3) 8. Elegant D'Oro (2) 9. Will I Be (8) 5. WILL I BE finished strongly to end up midfield last start at Sale and placed once this prep at Traralgon, sneaky chance. CAVALERO back from six week let-up and generally races near the speed. FONTEIN FLYER placed once this prep at Yarra Valley and should race on the speed, place only.
Tan Tat Tan Trum (1) 8. Streets of Avalon (8) 15. Poolside Hamilton (4) TRISCILLA back from 20 week spell and racing back from the city, major contender. TAN TAT TAN TRUM trial win in the 37 days since last race adds confidence and drawn ideally, could threaten.
STREETS OF AVALON only just missed last start, finishing half a length back from the winner at Pakenham Park and has three placings from three runs this prep, each-way claims. POOLSIDE HAMILTON ran fifth last start at Yarra Valley on a soft track when first up and likely to get a nice run behind the speed, strong place chance. Mamzelle Murdoch (10) 1. Another McCloud (4) 16. Moonlight Ruby (3) MAMZELLE MURDOCH has shown early speed in races to date and drops in weight, the testing material.
ANOTHER MCCLOUD let-up for six weeks and placed at only start at Swan Hill, could upset.RELATED: Climate disaster map shows Georgia as second most apocalyptic state"This study undermines that logic," Dr. Brown told MIT Technology Review.
Cadeira's study also comes on the heels of a dire warning issued by more than 15,000 scientists from around the world last month. The scientists warned that quick and drastic actions should be undertaken by society to address the threat to Earth. President Donald Trump said in June that he would pull the U. Since then, Nicaragua agreed to sign the agreement in October, and Syria followed in November.
Instead of addressing greenhouse gas emissions as the Paris accord requires, the White House said it "will promote coal, natural gas and nuclear energy as an answer to climate change," a decision scientists around the globe have warned against. RELATED: California wildfires force thousands to evacuate: Live updates Sign up for free e-newsletters to get more of AJC delivered to your inbox. Learn about careers at Cox Media Group.
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Explore these products from The Atlanta Journal-Constitution. RELATED: Climate disaster map shows Georgia as second most apocalyptic state "This study undermines that logic," Dr.
By scrapping it at the same time as axing tax credits, the banking trade association says it's 'inevitable' that more of the families who fall behind on their mortgages will be evicted. Savers in their 20s can now stash money away for retirement in funds that automatically chop and change their investments as they grow older. As you get closer to retirement, it's generally accepted that the most sensible thing to do is gradually move money out of shares and into bonds, which are considered safer.
The new DS7 Crossback is aimed as a Gallic riposte to the dominant German, Japanese and British upmarket luxury off-roaders. The biggest four High Street lenders got rid of 1,956 ATMs in the year to October to boost profits, with critics accusing them of abandoning customers in towns and villages and wrecking shops. Experts say the high-tech activity is consuming a higher level of power than in 159 countries across the globe - amid fears it will use more than the world by 2020.
The offer, at 620p per share, is a 38.Decimal odds of 2. Types of bets - 1, X, 2 are your primary and most common bets. Our goal is to be informative, objective and reliable. But there is no guarantee that, even with the best advice available, you will become a successful punter because not everyone has what it takes to be a successful punter.
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