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fann_train_on_data

(PECL fann >= 1.0.0)

fann_train_on_data — Trains on an entire dataset for a period of time

Description

fann_train_on_data(
    resource $ann,
    resource $data,
    int $max_epochs,
    int $epochs_between_reports,
    float $desired_error
): bool

Trains on an entire dataset for a period of time.

This training uses the training algorithm chosen by fann_set_training_algorithm() and the parameters set for these training algorithms.

Parameters

ann: Neural network resource.
data: Neural network training data resource.
max_epochs: The maximum number of epochs the training should continue
epochs_between_reports: The number of epochs between calling a callback function. A value of zero means that user function is not called.
desired_error: The desired fann_get_MSE() or fann_get_bit_fail(), depending on the stop function chosen by fann_set_train_stop_function()

Return Values

Returns true on success, or false otherwise.

See Also

fann_train_on_file() - Trains on an entire dataset, which is read from file, for a period of time
fann_train_epoch() - Train one epoch with a set of training data
fann_get_bit_fail() - The number of fail bits
fann_get_MSE() - Reads the mean square error from the network
fann_set_train_stop_function() - Sets the stop function used during training
fann_set_training_algorithm() - Sets the training algorithm
fann_set_callback() - Sets the callback function for use during training

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