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。

User Contributed Notes

geekgirl dot joy at gmail dot com 01-Aug-2019 04:54


<?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