# ----------------------------------------------------------------------
from matplotlib.backends.backend_pdf import PdfPages
import matplotlib.pyplot as plt
import numpy
"""
This script plots different activation and decay functions and saves the
resulting figures to a pdf document "excitation_decay_functions.pdf"
"""
with PdfPages('excitation_decay_functions.pdf') as pdf:
plt.figure()
plt.subplot(2, 2, 1)
from union_temporal_pooling.activation.excite_functions.excite_functions_all import (
LogisticExciteFunction)
self = LogisticExciteFunction()
self.plot()
plt.xlabel('Predicted Input #')
from union_temporal_pooling.activation.decay_functions.decay_functions_all import (
ExponentialDecayFunction)
plt.subplot(2, 2, 2)
self = ExponentialDecayFunction(10.0)
self.plot()
pdf.savefig()
plt.close()
# from union_temporal_pooling.activation.decay_functions.logistic_decay_function import (
# LogisticDecayFunction)
def setUp(self): self.fcn = LogisticExciteFunction(xMidpoint=5, minValue=10, maxValue=20, steepness=1)
