fann_subset_train_data

(PECL fann >= 1.0.0)

fann_subset_train_data — 返回一个训练数据子集的副本。

说明

fann_subset_train_data(resource $data, int $pos, int $length): resource

返回一个训练数据子集的副本 resource, 从 pos 位置开始向前步进 length 个元素。

fann_subset_train_data(train_data, 0, fann_length_train_data(train_data)) 和 fann_duplicate_train_data()函数的效果是一样的。

参数

data: 神经网络训练数据资源。
pos: 起始位置。
length: 复制元素的数量。

返回值

成功时返回训练数据资源，发生错误返回 false。

参见

fann_duplicate_train_data() - 返回 fann 训练数据精确的副本。

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geekgirl dot joy at gmail dot com ¶

5 years ago

<?php
// Use this code to split your data into smaller sets.
// Useful for splitting your training data into training and testing groups

// Load Data
$data_file = "MyTrainingData.data";
$train_data = fann_read_train_from_file(dirname(__FILE__)  .  DIRECTORY_SEPARATOR  .  $data_file);

// Calculate how many examples are in the first group
$total_length = fann_length_train_data($train_data);
$a_length = floor($total_length / 10);

// Split the subsets
$training_data_a  = fann_subset_train_data($train_data, 0, $a_length);
$training_data_b  = fann_subset_train_data($train_data, $a_length, $total_length-$a_length);

// Save the training data to separate files
fann_save_train ($training_data_a, 'MyTrainingData_Subset_A.data'); // 1/10 of the training data
fann_save_train ($training_data_b, 'MyTrainingData_Subset_B.data'); // 9/10 of the training data