fann_get_cascade_candidate_change_fraction

fann_get_cascade_candidate_change_fraction

Returns the cascade candidate change fraction

float **fann_get_cascade_candidate_change_fraction** resource $ann

The cascade candidate change fraction is a number between 0 and 1 determining how large a fraction the value should change within during training of the candidate neurons, in order for the training not to stagnate. If the training stagnates, the training of the candidate neurons will be ended and the best candidate will be selected. fann_get_MSE``fann_get_cascade_candidate_stagnation_epochs

It means that if the MSE does not change by a fraction of during a period of , the training of the candidate neurons is stopped because the training has stagnated. fann_get_cascade_candidate_change_fraction``fann_get_cascade_candidate_stagnation_epochs

If the cascade candidate change fraction is low, the candidate neurons will be trained more and if the fraction is high they will be trained less.

The default cascade candidate change fraction is 0.01, which is equalent to a 1% change in MSE.

annThe cascade candidate change fraction, or false on error.

fann_set_cascade_candidate_change_fraction``fann_get_MSE``fann_get_cascade_candidate_stagnation_epochs