Code for doing logistic regressions.
LogisticRegression Holds information for a LogisticRegression classifier.
train Train a new classifier.
calculate Calculate the probabilities of each class, given an observation.
classify Classify an observation into a class.
- class Bio.LogisticRegression.LogisticRegression
Holds information necessary to do logistic regression classification.
beta - List of the weights for each dimension.
Initialize the class.
- Bio.LogisticRegression.train(xs, ys, update_fn=None, typecode=None)
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.
- Bio.LogisticRegression.calculate(lr, x)
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.
- Bio.LogisticRegression.classify(lr, x)
Classify an observation into a class.