# biopython v1.71.0 Bio.LogisticRegression

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.

# Link to this section Summary

## Functions

Calculate the probability for each class

Classify an observation into a class

Train a logistic regression classifier on a training set

# Link to this section Functions

Link to this function
calculate()

Calculate the probability for each class.

Arguments:

- lr is a LogisticRegression object.
- x is the observed data.

Returns a list of the probability that it fits each class.

Link to this function
classify()

Classify an observation into a class.

Link to this function
train()

Train a logistic regression classifier on a training set.

Argument 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.