NonNegativeLogisticRegression
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 |