<?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
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
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。
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User Contributed Notes 1 note
geekgirl dot joy at gmail dot com ¶
5 years ago
