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Results of 31 - 40 of about 73 for training (0.028 sec.)

Create a SVMModel based on training data 7252: « SVM::setOptions SVMModel » PHP Manual SVM Create a SVMModel based on training data SVM::train ... >= 0.1.0) SVM::train — Create a SVMModel based on training data 説明 public svm::train ( array $problem , arr ... ain a support vector machine based on the supplied training data. パラメータ problem The problem can be provid ... formatted problem, with the each line being a new training example, the start of each line containing the cla ... different classes, to help account for unbalanced training sets. For example, if the classes were 1 and -1, a ...; https://man.plustar.jp/php/svm.train.html - [similar]

Reads a file that stores training data 7154: « fann_randomize_weights fann_reset_errno » PHP Manual Fann 関数 Reads a file that stores training ... nn_read_train_from_file — Reads a file that stores training data 説明 fann_read_train_from_file ( string $file ... name ): resource Reads a file that stores training data. パラメータ filename The input file in the fo ... eriod of time fann_destroy_train() - Destructs the training data fann_save_train() - Save the training structu ...; https://man.plustar.jp/php/function.fann-read-train-from-file.html - [similar]

Returns the error function used during training 7084: « fann_get_total_neurons fann_get_train_stop_function » PHP Manual Fann 関数 Returns the error f ... unction used during training fann_get_train_error_function (PECL fann >= 1.0.0) ... _function — Returns the error function used during training 説明 fann_get_train_error_function ( resource $ann ... ): int Returns the error function used during training. The error functions are described further in erro ... r_function() - Sets the error function used during training 関連キーワード: function , during , Returns , fann ...; https://man.plustar.jp/php/function.fann-get-train-error-function.html - [similar]

Set the bit fail limit used during training 7084: « fann_set_activation_steepness fann_set_callback » PHP Manual Fann 関数 Set the bit fail limit ... used during training fann_set_bit_fail_limit (PECL fann >= 1.0.0) fann_ ... it_fail_limit — Set the bit fail limit used during training 説明 fann_set_bit_fail_limit ( resource $ann , flo ... l_limit ): bool Set the bit fail limit used during training. パラメータ ann ニューラルネットワークリソース。 b ... l_limit() - Returns the bit fail limit used during training 関連キーワード: bit , fail , limit , during , Set ...; https://man.plustar.jp/php/function.fann-set-bit-fail-limit.html - [similar]

Calculate input and output scaling parameters for future use based on training d... 7042: « fann_set_sarprop_weight_decay_shift fann_set_train_error_function » PHP Manual Fann 関数 Calcu ... output scaling parameters for future use based on training data fann_set_scaling_params (PECL fann >= 1.0.0) ... output scaling parameters for future use based on training data 説明 fann_set_scaling_params ( resource $ann ... output scaling parameters for future use based on training data. パラメータ ann ニューラルネットワークリソース ... e input scaling parameters for future use based on training data fann_set_output_scaling_params() - Calculate ...; https://man.plustar.jp/php/function.fann-set-scaling-params.html - [similar]

Sets the error function used during training 7042: « fann_set_scaling_params fann_set_train_stop_function » PHP Manual Fann 関数 Sets the error fun ... ction used during training fann_set_train_error_function (PECL fann >= 1.0.0) ... ror_function — Sets the error function used during training 説明 fann_set_train_error_function ( resource $ann ... nction ): bool Sets the error function used during training. The error functions are described further in erro ... unction() - Returns the error function used during training 関連キーワード: function , during , Sets , fann , ...; https://man.plustar.jp/php/function.fann-set-train-error-function.html - [similar]

Returns the cascade candidate change fraction 6972: « fann_get_cascade_activation_steepnesses fann_get_cascade_candidate_limit » PHP Manual Fann 関数 ... n_get_cascade_candidate_stagnation_epochs() during training of the candidate neurons, in order for the trainin ... g not to stagnate. If the training stagnates, the training of the candidate neurons w ... nn_get_cascade_candidate_stagnation_epochs() , the training of the candidate neurons is stopped because the tr ...; https://man.plustar.jp/php/function.fann-get-cascade-candidate-change-fraction.h... - [similar]

Returns the cascade output change fraction 6972: « fann_get_cascade_num_candidates fann_get_cascade_output_stagnation_epochs » PHP Manual Fann 関 ... fann_get_cascade_output_stagnation_epochs() during training of the output connections, in order for the traini ... ng not to stagnate. If the training stagnates, the training of the output connections ... fann_get_cascade_output_stagnation_epochs() , the training of the output connections is stopped because the t ...; https://man.plustar.jp/php/function.fann-get-cascade-output-change-fraction.html - [similar]

Returns the decay which is a factor that weights should decrease in each iterati... 6972: « fann_get_num_output fann_get_quickprop_mu » PHP Manual Fann 関数 Returns the decay which is a ... should decrease in each iteration during quickprop training fann_get_quickprop_decay (PECL fann >= 1.0.0) fann ... should decrease in each iteration during quickprop training 説明 fann_get_quickprop_decay ( resource $ann ): f ... should decrease in each iteration during quickprop training. This is used to make sure that the weights do not ... become too high during training. The default decay is -0.0001. パラメータ ann ニュ ...; https://man.plustar.jp/php/function.fann-get-quickprop-decay.html - [similar]

Calculate input scaling parameters for future use based on training data 6833: « fann_set_error_log fann_set_learning_momentum » PHP Manual Fann 関数 Calculate input scaling p ... arameters for future use based on training data fann_set_input_scaling_params (PECL fann >= 1 ... e input scaling parameters for future use based on training data 説明 fann_set_input_scaling_params ( resource ... e input scaling parameters for future use based on training data. パラメータ ann ニューラルネットワークリソース ... output scaling parameters for future use based on training data 関連キーワード: input , scaling , fann , data ...; https://man.plustar.jp/php/function.fann-set-input-scaling-params.html - [similar]