Bio.LogisticRegression

Package Bio :: Module LogisticRegression

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Module Bio.LogisticRegression

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.

Classes
`LogisticRegression`	Holds information necessary to do logistic regression classification.

Function Summary
	`calculate(lr, x)` calculate(lr, x) -> list of probabilities
	`classify(lr, x)` classify(lr, x) -> 1 or 0
	`train(xs, ys, update_fn, typecode)` train(xs, ys[, update_fn]) -> LogisticRegression

Function Details

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.

classify(lr, x)

classify(lr, x) -> 1 or 0

Classify an observation into a class.

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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