Package pyvision :: Package ml :: Module regression :: Class LogisticRegression

Class LogisticRegression

object --+
         |
        LogisticRegression

This object implements a logistic regression model.

For the house-votes-84.data.txt data set this learned a model that was consistant with R.

Instance Methods

[hide private]

__init__(self)
Create and initialize the model.

source code

train(self, obs, data, method='ml')
Train a logistic regression model. source code

predict(self, data)
Predict the results for a dataset.

source code

Inherited from object: __delattr__, __format__, __getattribute__, __hash__, __new__, __reduce__, __reduce_ex__, __repr__, __setattr__, __sizeof__, __str__, __subclasshook__

Properties

[hide private]

Inherited from object: __class__

Method Details

[hide private]

init(self)
(Constructor)

source code

Create and initialize the model.

Overrides: object.__init__

train(self, obs, data, method=`'ml'`)

source code

Train a logistic regression model.

Parameters:

obs (float in [0.0:1.0]) - these are the observations.
data (list of data points in rows) - floating point matrix of data
method (can be 'ml' (maximum likelihood) or 'fast' (least sqaures estimate)) - determines the optimization criteria.

predict(self, data)

source code

Predict the results for a dataset.

Parameters:

data (list of data points in rows) - floating point matrix of data

Returns:

a probibility for each data point.

Class LogisticRegression

__init__(self) (Constructor)

train(self, obs, data, method='ml')

predict(self, data)

init(self)
(Constructor)

train(self, obs, data, method=`'ml'`)