<?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 — Returns an copy of a subset of the train data
Descrizione
Returns an copy of a subset of the train data resource, starting at position
pos and length elements forward.
The fann_subset_train_data(train_data, 0, fann_length_train_data(train_data)) do the same as
fann_duplicate_train_data()
Elenco dei parametri
-
data -
Neural network training data resource.
-
pos -
Starting position.
-
length -
The number of copied elements.
Valori restituiti
Returns a train data resource on success, or false on error.
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geekgirl dot joy at gmail dot com ¶
5 years ago
