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Vtiful\Kernel\Excel setColumn 0: « Vtiful\Kernel\Excel::output Vtiful\Kernel\Excel::setRow » PHP Manual Vtiful\Kernel\Excel Vtiful\Kernel\Excel setColumn Vtiful\Kernel\Excel::setColumn (PECL xlswriter >= 1.2.1) Vtiful\Kernel\Excel::setColumn — Vtiful\Kernel\Excel setColumn 説明 public Vtiful\Kernel\Excel::setColumn ( st ...; https://man.plustar.jp/php/vtiful-kernel-excel.setColumn.html - [similar]

Creates a standard fully connected backpropagation neural network using an array... 0: « fann_create_sparse fann_create_standard » PHP Manual Fann 関数 Creates a standard fully connected backpropagation neural network using an array of layer sizes fann_create_standard_array (PECL fann >= 1.0.0) fann_create_standard_array — Creates a standard fully connected backpropagation ...; https://man.plustar.jp/php/function.fann-create-standard-array.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]

Creates an empty training data struct 0: « fann_create_train_from_callback fann_descale_input » PHP Manual Fann 関数 Creates an empty training data struct fann_create_train (PECL fann >= 1.0.0) fann_create_train — Creates an empty training data struct 説明 fann_create_train ( int $num_data , int $num_input , int $num_output ): ...; https://man.plustar.jp/php/function.fann-create-train.html - [similar]

Returns the activation function 0: « fann_duplicate_train_data fann_get_activation_steepness » PHP Manual Fann 関数 Returns the activation function fann_get_activation_function (PECL fann >= 1.0.0) fann_get_activation_function — Returns the activation function 説明 fann_get_activation_function ( resource $ann , int $layer ...; https://man.plustar.jp/php/function.fann-get-activation-function.html - [similar]

Sets the steepness of the activation steepness for all neurons in the all hidden... 0: « fann_set_activation_function fann_set_activation_steepness_layer » PHP Manual Fann 関数 Sets the steepness of the activation steepness for all neurons in the all hidden layers fann_set_activation_steepness_hidden (PECL fann >= 1.0.0) fann_set_activation_steepness_hidden — Sets the stee ...; https://man.plustar.jp/php/function.fann-set-activation-steepness-hidden.html - [similar]

Calculate input scaling parameters for future use based on training data 0: « fann_set_error_log fann_set_learning_momentum » PHP Manual Fann 関数 Calculate input scaling parameters for future use based on training data fann_set_input_scaling_params (PECL fann >= 1.0.0) fann_set_input_scaling_params — Calculate input scaling parameters for future use based on tr ...; https://man.plustar.jp/php/function.fann-set-input-scaling-params.html - [similar]

MIME 文字設定を文字列で得る 0: « mb_parse_str mb_regex_encoding » PHP Manual マルチバイト文字列関数 MIME 文字設定を文字列で得る mb_preferred_mime_name (PHP 4 >= 4.0.6, PHP 5, PHP 7, PHP 8) mb_preferred_mime_name — MIME 文字設定を文字列で得る説明 mb_preferred_mime_name ( string $encoding ): string | false 指定したエン ...; https://man.plustar.jp/php/function.mb-preferred-mime-name.html - [similar]

Basic usage for LuaSandbox 0: « 例 LuaSandbox » PHP Manual 例 Basic usage for LuaSandbox Basic usage for LuaSandbox Once you've compiled PHP with LuaSandbox support, you can begin using LuaSandbox to safely run user-provided Lua code. 例1 Execute some Lua code <?php $sandbox = new LuaSandbox ; $sandbox -> setMemoryLi ...; https://man.plustar.jp/php/luasandbox.examples-basic.html - [similar]

ReflectionGenerator オブジェクトを構築する 0: « ReflectionGenerator ReflectionGenerator::getExecutingFile » PHP Manual ReflectionGenerator ReflectionGenerator オブジェクトを構築する ReflectionGenerator::__construct (PHP 7, PHP 8) ReflectionGenerator::__construct — ReflectionGenerator オブジェクトを構築する説明 public ReflectionGene ...; https://man.plustar.jp/php/reflectiongenerator.construct.html - [similar]