Package Bio :: Module LogisticRegression

Module 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

[hide private]

LogisticRegression
Holds information necessary to do logistic regression classification.

Functions

[hide private]

LogisticRegression

train(xs, ys, update_fn=...)
Train a logistic regression classifier on a training set.

source code

list of probabilities

calculate(lr, x)
Calculate the probability for each class.

source code

1 or 0

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

source code

Function Details

[hide private]

train(xs, ys, update_fn=...)

source code

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.

Returns: LogisticRegression

calculate(lr, x)

source code

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.

Returns: list of probabilities