Library "TimeSeriesClassificationActivationFunctions"
Provides some activation functions useful in time series classification.
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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) ...