投稿時間:2022-07-16 15:15:46 RSSフィード2022-07-16 15:00 分まとめ(15件)

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IT 気になる、記になる… Amazonとビックカメラで「AirPods Pro」が24%オフに(7月19日まで) https://taisy0.com/2022/07/16/159202.html airpodspro 2022-07-16 05:30:54
Docker dockerタグが付けられた新着投稿 - Qiita 19.6.4.4 Comparisons [stacktrace.basic.cmp] C++N4910:2022 (416) p576.cpp https://qiita.com/kaizen_nagoya/items/ea3e6e13032b9572a61e basic 2022-07-16 14:52:12
Docker dockerタグが付けられた新着投稿 - Qiita 19.6.4.3 Observers [stacktrace.basic.obs] C++N4910:2022 (415) p575.cpp https://qiita.com/kaizen_nagoya/items/b6bdebda32a94211bcaa basic 2022-07-16 14:45:54
Docker dockerタグが付けられた新着投稿 - Qiita RaspberryPiPicoSDKのビルド環境をDocker+Jenkinsで構築する https://qiita.com/ryot0/items/0990489fd0d27f43667a docker 2022-07-16 14:24:45
海外TECH DEV Community A foray into SVM w/ Scikit-Learn https://dev.to/omhaisoj/a-foray-into-svm-w-scikit-learn-32oh A foray into SVM w Scikit LearnHey Josiah here Today I ll be discussing the concept of SVMs Support Vector Machine a subset of Machine Learning used commonly for classification and regression analysis First off we must discuss how SVM works from a theoretical standpoint A simple example of an SVM classifying dataSuppose some given data points each belong to one of two classes Black amp “White and the goal is to decide which class a new data point will be in The three lines seen H H and H are known as “Hyperplanes which divide our data into classes To define a hyperplane one must follow a simple procedure Draw a line between the two classes such that the closest data point from each class known as the support vector are equidistant from the line Thus we have defined a Hyperplane However it soon becomes apparent that an infinite number of hyperplanes can be derived The obvious question arises “How do we determine which hyperplane to use The answer is we use the hyperplane which maximizes the distance to the support vectors This maximized gap between the two classes is known as the maximum margin hyperplane and is the ideal hyperplane to predict the class of future data points Now that we have discussed the basic theoretical concepts of SVM classification let us get into a simple example involving the breast cancer dataset from Scikit learn Relatively trivial code snippets will be captioned import sklearnfrom sklearn import metricsfrom sklearn import svmcn sklearn datasets load breast cancer load data setx cn data set x to the entriesy cn target set y to the labelsHere we set two variables x and y equal to our data s entries and labels respectively We will need this in the next snippet to separate the data further x train x test y train y test sklearn model selection train test split x y test size We use Scikit learn s model selection train test split method to take our entries and labels and split them into training and testing subcomponents By setting test size to we allocate of our data for testing purposes and the other for training purposes Note that it s not recommended to set test size to be greater than Create an SVCclf svm SVC train the training setclf fit x train y train Here we create the Support Vector Machine along with the SVC Support Vector Classifier and assign it to the variable clf Next we train the model on the training entries and labels of the dataset as defined by test size previously Predict the labels for the training datay predict clf predict x test compare the predicted labels to the actual labels and conver to percentage to outputacc metrics accuracy score y test y predict print f acc accuracy We set a variable y predict equal to the results of the classifier predicting the labels of the testing entries We then use the sklearn metrics accuracy score method to compare the actual testing labels to that of y predict which was the machine s attempt at classifying them We then convert this to a percentage by multiplying by a factor of and printing this result The accuracy you should get is which is a very good accuracy If you enjoy articles like this and find it useful or have any feedback message me on Discord Necloremius 2022-07-16 05:40:14
海外TECH CodeProject Latest Articles The Ways to Make Pre-aggregation in Multi-dimensional Analysis Effective https://www.codeproject.com/Articles/5337178/The-Ways-to-Make-Pre-aggregation-in-Multi-dimensio The Ways to Make Pre aggregation in Multi dimensional Analysis EffectiveFor a large number of other common requirements we need to use a computing engine to implement efficient hard traversal to meet 2022-07-16 05:26:00
海外ニュース Japan Times latest articles U.S. Navy sends warship near disputed South China Sea islands for second time in a week https://www.japantimes.co.jp/news/2022/07/16/asia-pacific/us-navy-benfold-south-china-sea/ U S Navy sends warship near disputed South China Sea islands for second time in a weekThe U S destroyer sailed near the contested Spratly Islands days after China claimed to have expelled the same vessel from waters near the disputed Paracel 2022-07-16 14:23:50
海外ニュース Japan Times latest articles Japan aims to maintain stakes in Russia’s Sakhalin-2 energy project https://www.japantimes.co.jp/news/2022/07/16/business/russia-japan-sakhalin-lng/ Japan aims to maintain stakes in Russia s Sakhalin energy projectUnder the plan Mitsui Co and Mitsubishi Corp would keep and stakes respectively despite Russian President Vladimir Putin s order that tightens Moscow s 2022-07-16 14:20:57
ニュース BBC News - Home Tory leadership rivals trade blows over tax and spending https://www.bbc.co.uk/news/uk-politics-62186878?at_medium=RSS&at_campaign=KARANGA blows 2022-07-16 05:04:02
ニュース BBC News - Home Heatwave: National emergency declared after UK's first red extreme heat warning https://www.bbc.co.uk/news/uk-62177458?at_medium=RSS&at_campaign=KARANGA emergency 2022-07-16 05:37:06
ニュース BBC News - Home World Athletics Championships: Laura Muir progresses as US great Allyson Felix bows out https://www.bbc.co.uk/sport/athletics/62188084?at_medium=RSS&at_campaign=KARANGA World Athletics Championships Laura Muir progresses as US great Allyson Felix bows outAllyson Felix bows out from her career with one last medal as Laura Muir and Katie Snowden progress in the m on day one of the World Championships 2022-07-16 05:27:57
ニュース BBC News - Home Kalidou Koulibaly: Chelsea sign Senegal defender from Napoli on four-year deal https://www.bbc.co.uk/sport/football/62168549?at_medium=RSS&at_campaign=KARANGA napoli 2022-07-16 05:38:13
北海道 北海道新聞 パドレスのダルは7回3失点 ダイヤモンドバックス戦 https://www.hokkaido-np.co.jp/article/706602/ 失点 2022-07-16 14:32:00
北海道 北海道新聞 スーパーに車突っ込む、愛知 店員けが、80歳女性運転 https://www.hokkaido-np.co.jp/article/706600/ 愛知県豊田市志賀町 2022-07-16 14:21:00
北海道 北海道新聞 「『メニー』と呼んで」 日本ハム・メネズが入団会見 https://www.hokkaido-np.co.jp/article/706596/ 入団会見 2022-07-16 14:13:04

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