Module LogisticRegression
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Code for doing logistic regressions.
Classes:
LogisticRegression Holds information for a LogisticRegression classifier.
Functions:
train Train a new classifier.
calculate Calculate the probabilities of each class, given an observation.
classify Classify an observation into a class.
LogisticRegression

train(xs,
ys,
update_fn=...)
Train a logistic regression classifier on a training set. xs is a
list of observations and ys is a list of the class assignments,
which should be 0 or 1. xs and ys should contain the same number
of elements. update_fn is an optional callback function that
takes as parameters that iteration number and log likelihood. 
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list of probabilities

calculate(lr,
x)
Calculate the probability for each class. lr is a
LogisticRegression object. x is the observed data. Returns a
list of the probability that it fits each class. 
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1 or 0

classify(lr,
x)
Classify an observation into a class. 
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