Package

weka.classifiers.functions

Synopsis

Class for learning a logistic regression model that has non-negative coefficients. The first class value is assumed to be the positive class value (i.e. 1.0).

Options

The table below describes the options available for NonNegativeLogisticRegression.

Option	Description
batchSize	The preferred number of instances to process if batch prediction is being performed. More or fewer instances may be provided, but this gives implementations a chance to specify a preferred batch size.
debug	If set to true, classifier may output additional info to the console.
doNotCheckCapabilities	If set, classifier capabilities are not checked before classifier is built (Use with caution to reduce runtime).
numDecimalPlaces	The number of decimal places to be used for the output of numbers in the model.
numThreads	The number of threads to use, which should be >= size of thread pool.
poolSize	The size of the thread pool, for example, the number of cores in the CPU.
seed	The random number seed to be used.

Capabilities

The table below describes the capabilities of NonNegativeLogisticRegression.

Capability	Supported
Class	Binary class, Missing class values
Attributes	Numeric attributes
Min # of instances	1

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