Results of 1 - 10 of about 10 for classification (0.006 sec.)
- The SVM class 13336
- « 例 SVM::__construct » PHP Manual SVM The SVM class 検索 The SVM class (PECL svm >= 0.1.0) はじめに クラス概要 class SVM { /* 定数 */ const int C_SVC = 0 ; const int NU_SVC = 1 ; const int ONE_CLASS = 2 ; const int EPSILON_SVR = 3 ; const
... class) SVM::NU_SVR A NU style SVM regression type SVM::KERNEL_LINEAR A very simple kernel, can work well on large document classification problems SVM::KERNEL_POLY A polynomial kernel SVM::KERNEL_RBF The common Gaussian RBD kernel. Handles non-linear problems ... well and is a good default for classification SVM::KERNEL_SIGMOID A kernel based on the sigmoid function. Using this makes the SVM very similar to a two layer sigmoid b ... oid Training option used 定数 crossvalidate problem getOptions setOptions params train SVMModel default good examples well classification problems ...
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https://man.mtool.work/php/8.3/class.svm.html
- The SVM class 10440
- « 例 SVM::__construct » PHP Manual SVM The SVM class 検索 The SVM class (PECL svm >= 0.1.0) はじめに クラス概要 class SVM { /* 定数 */ const int C_SVC = 0 ; const int NU_SVC = 1 ; const int ONE_CLASS = 2 ; const int EPSILON_SVR = 3 ; const
... class) SVM::NU_SVR A NU style SVM regression type SVM::KERNEL_LINEAR A very simple kernel, can work well on large document classification problems SVM::KERNEL_POLY A polynomial kernel SVM::KERNEL_RBF The common Gaussian RBD kernel. Handles non-linear problems ... well and is a good default for classification SVM::KERNEL_SIGMOID A kernel based on the sigmoid function. Using this makes the SVM very similar to a two layer sigmoid b ...
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https://man.mtool.work/php/8.3/class.svm.html
- Predict a value for previously unseen data 9367
- « SVMModel::load SVMModel::predict_probability » PHP Manual SVMModel Predict a value for previously unseen data 検索 SVMModel::predict (PECL svm >= 0.1.0) SVMModel::predict — Predict a value for previously unseen data 説明 public function S
... ing key order, but not necessarily continuous. 戻り値 Float the predicted value. This will be a class label in the case of classification, a real value in the case of regression. Throws SVMException on error 参考 SVM::train() - Create a SVMModel based on train ...
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https://man.mtool.work/php/8.3/svmmodel.predict.html
- Predict a value for previously unseen data 9367
- « SVMModel::load SVMModel::predict_probability » PHP Manual SVMModel Predict a value for previously unseen data 検索 SVMModel::predict (PECL svm >= 0.1.0) SVMModel::predict — Predict a value for previously unseen data 説明 public function S
... ing key order, but not necessarily continuous. 戻り値 Float the predicted value. This will be a class label in the case of classification, a real value in the case of regression. Throws SVMException on error 参考 SVM::train() - Create a SVMModel based on train ...
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https://man.mtool.work/php/8.3/svmmodel.predict.html
- Return class probabilities for previous unseen data 8634
- « SVMModel::predict SVMModel::save » PHP Manual SVMModel Return class probabilities for previous unseen data 検索 SVMModel::predict_probability (PECL svm >= 0.1.4) SVMModel::predict_probability — Return class probabilities for previous unse
... name and the value the predicted probability. 戻り値 Float the predicted value. This will be a class label in the case of classification, a real value in the case of regression. Throws SVMException on error 参考 SVM::predict() 関連キーワード: class data predi ...
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https://man.mtool.work/php/8.3/svmmodel.predict-probability.html
- Return class probabilities for previous unseen data 8634
- « SVMModel::predict SVMModel::save » PHP Manual SVMModel Return class probabilities for previous unseen data 検索 SVMModel::predict_probability (PECL svm >= 0.1.4) SVMModel::predict_probability — Return class probabilities for previous unse
... name and the value the predicted probability. 戻り値 Float the predicted value. This will be a class label in the case of classification, a real value in the case of regression. Throws SVMException on error 参考 SVM::predict() 関連キーワード: predict probabil ...
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https://man.mtool.work/php/8.3/svmmodel.predict-probability.html
- 例 7562
- « インストール手順 SVM » PHP Manual SVM 例 検索 例 The basic process is to define parameters, supply training data to generate a model on, then make predictions based on the model. There are a default set of parameters that should get some
... er. The features are integers, the values floats, usually scaled 0-1. For example: -1 1:0.43 3:0.12 9284:0.2 In a document classification problem, say a spam checker, each line would represent a document. There would be two classes, -1 for spam, 1 for ham. Eac ...
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https://man.mtool.work/php/8.3/svm.examples.html
- 例 7562
- « インストール手順 SVM » PHP Manual SVM 例 検索 例 The basic process is to define parameters, supply training data to generate a model on, then make predictions based on the model. There are a default set of parameters that should get some
... er. The features are integers, the values floats, usually scaled 0-1. For example: -1 1:0.43 3:0.12 9284:0.2 In a document classification problem, say a spam checker, each line would represent a document. There would be two classes, -1 for spam, 1 for ham. Eac ...
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https://man.mtool.work/php/8.3/svm.examples.html
- Seaslog 7204
- « Random\RandomException インストール/設定 » PHP Manual その他の基本モジュール Seaslog 検索 Seaslog はじめに The Seaslog is an effective,fast,stable log extension for PHP. The log journal,which is usually the operate record of the system, s
... ons in the project development of the log class). So is there a log of libraries meet the following requirements: Modules, classification Simple configuration (preferably without configuration) Clear log format and easy understanding Simple application and wel ...
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https://man.mtool.work/php/8.3/book.seaslog.html
- Seaslog 7204
- « Random\RandomException インストール/設定 » PHP Manual その他の基本モジュール Seaslog 検索 Seaslog はじめに The Seaslog is an effective,fast,stable log extension for PHP. The log journal,which is usually the operate record of the system, s
... ons in the project development of the log class). So is there a log of libraries meet the following requirements: Modules, classification Simple configuration (preferably without configuration) Clear log format and easy understanding Simple application and wel ...
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https://man.mtool.work/php/8.3/book.seaslog.html
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