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Package Bio :: Module LogisticRegression |
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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 | |
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LogisticRegression |
Holds information necessary to do logistic regression classification. |
Function Summary | |
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calculate(lr, x) -> list of probabilities | |
classify(lr, x) -> 1 or 0 | |
train(xs, ys[, update_fn]) -> LogisticRegression |
Function Details |
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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. |
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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