Library "TimeSeriesClassificationActivationFunctions" Provides some activation functions useful in time series classification. ___ reference: github.com method scale(dist, weights) Activate values by a normalized scale. Namespace types: map Parameters: dist (map) : Source distribution map. weights (map) : Weights distribution map. Returns:...
Library "MLActivationFunctions" Activation functions for Neural networks. binary_step(value) Basic threshold output classifier to activate/deactivate neuron. Parameters: value : float, value to process. Returns: float linear(value) Input is the same as output. Parameters: value : float, value to process. Returns: float sigmoid(value) ...