fann_train_on_data
(PECL fann >= 1.0.0)
fann_train_on_data — Trains on an entire dataset for a period of time
Description
$ann
, resource $data
, int $max_epochs
, int $epochs_between_reports
, float $desired_error
) : boolTrains 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()
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
English translation
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Document created the 30/01/2003, last modified the 26/10/2018
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