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class OnlineLearner(object):
def __init__(self, **kwargs):
self.last_misses = 0.
self.iratio = 0.
self.it = 1.
self.l = kwargs["l"]
self.max_ratio = -np.inf
self.threshold = 500.
def hinge_loss(self, vector, cls, weight):
"""
Author: Oliver Mitevski
References:
A Generalized Linear Model for Principal Component Analysis of Binary Data,
Andrew I. Schein; Lawrence K. Saul; Lyle H. Ungar
The code was translated and adapted from Jakob Verbeek's
"Hidden Markov models and mixtures for Binary PCA" implementation in MATLAB
City of Chicago
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