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LogisticRegression.py
This module provides 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.
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Imported modules
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from Bio.Tools import listfns
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Functions
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calculate
classify
train
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calculate
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calculate ( lr, x )
calculate(lr, x) -> list of probabilities
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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classify
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classify ( lr, x )
classify(lr, x) -> 1 or 0
Classify an observation into a class.
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train
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train (
xs,
ys,
update_fn=None,
typecode=None,
)
train(xs, ys[, update_fn]) -> LogisticRegression
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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Exceptions
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AssertionError, "Didn't converge."
ValueError, "Classes should be 0's and 1's"
ValueError, "No observations or observation of 0 dimension."
ValueError, "xs and ys should be the same length."
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Classes
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