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Predict a value for previously unseen data 0
« SVMModel::predict_probability SVMModel::save » PHP Manual SVMModel Predict a value for previously unseen data SVMModel::predict (PECL svm >= 0.1.0) SVMModel::predict — Predict a value for previously unseen data 説明 public SVMModel::predict ( array $data ): float This function accepts ...
https://man.plustar.jp/php/svmmodel.predict.html - [similar]
The FANNConnection class 0
« fann_train FANNConnection::__construct » PHP Manual FANN The FANNConnection class The FANNConnection class (No version information available, might only be in Git) はじめに FANNConnection is used for the neural network connection. The objects of this class are used in fann_get_connecti ...
https://man.plustar.jp/php/class.fannconnection.html - [similar]
Scale data in input vector after get it from ann based on previously calculated ... 0
« fann_create_train fann_descale_output » PHP Manual Fann 関数 Scale data in input vector after get it from ann based on previously calculated parameters fann_descale_input (PECL fann >= 1.0.0) fann_descale_input — Scale data in input vector after get it from ann based on previously calc ...
https://man.plustar.jp/php/function.fann-descale-input.html - [similar]
Scale data in output vector after get it from ann based on previously calculated... 0
« fann_descale_input fann_descale_train » PHP Manual Fann 関数 Scale data in output vector after get it from ann based on previously calculated parameters fann_descale_output (PECL fann >= 1.0.0) fann_descale_output — Scale data in output vector after get it from ann based on previously ...
https://man.plustar.jp/php/function.fann-descale-output.html - [similar]
Returns the learning momentum 0
« fann_get_layer_array fann_get_learning_rate » PHP Manual Fann 関数 Returns the learning momentum fann_get_learning_momentum (PECL fann >= 1.0.0) fann_get_learning_momentum — Returns the learning momentum 説明 fann_get_learning_momentum ( resource $ann ): float The learning momentum can ...
https://man.plustar.jp/php/function.fann-get-learning-momentum.html - [similar]
Give each connection a random weight between min_weight and max_weight 0
« fann_print_error fann_read_train_from_file » PHP Manual Fann 関数 Give each connection a random weight between min_weight and max_weight fann_randomize_weights (PECL fann >= 1.0.0) fann_randomize_weights — Give each connection a random weight between min_weight and max_weight 説明 fann ...
https://man.plustar.jp/php/function.fann-randomize-weights.html - [similar]
SVMModel を新規構築 0
« SVMModel::checkProbabilityModel SVMModel::getLabels » PHP Manual SVMModel SVMModel を新規構築 SVMModel::__construct (PECL svm >= 0.1.0) SVMModel::__construct — SVMModel を新規構築 説明 public SVMModel::__construct ( string $filename = ? ) SVMModel を新規構築します。 モデルは、通常は SV ...
https://man.plustar.jp/php/svmmodel.construct.html - [similar]
Creates a standard fully connected backpropagation neural network 0
« fann_create_standard_array fann_create_train_from_callback » PHP Manual Fann 関数 Creates a standard fully connected backpropagation neural network fann_create_standard (PECL fann >= 1.0.0) fann_create_standard — Creates a standard fully connected backpropagation neural network 説明 fa ...
https://man.plustar.jp/php/function.fann-create-standard.html - [similar]
Sets the activation function for all of the hidden layers 0
« fann_scale_train fann_set_activation_function_layer » PHP Manual Fann 関数 Sets the activation function for all of the hidden layers fann_set_activation_function_hidden (PECL fann >= 1.0.0) fann_set_activation_function_hidden — Sets the activation function for all of the hidden layers ...
https://man.plustar.jp/php/function.fann-set-activation-function-hidden.html - [similar]
Test training params on subsets of the training data 0
« SVM::__construct SVM::getOptions » PHP Manual SVM Test training params on subsets of the training data SVM::crossvalidate (PECL svm >= 0.1.0) SVM::crossvalidate — Test training params on subsets of the training data 説明 public svm::crossvalidate ( array $problem , int $number_of_folds ...
https://man.plustar.jp/php/svm.crossvalidate.html - [similar]
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