reservoirpy.activationsfunc.softmax# reservoirpy.activationsfunc.softmax(x, beta=1.0)[source]# Softmax activation function. \[y_k = \frac{e^{\beta x_k}}{\sum_{i=1}^{n} e^{\beta x_i}}\] Parameters: x (array) – Input array. beta (float, default to 1.0) – Beta parameter of softmax. Returns: Activated vector. Return type: array