Package mvpa :: Package clfs :: Module smlr

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# Module smlr

source code

Sparse Multinomial Logistic Regression classifier.

Classes | [hide private]

| SMLR Sparse Multinomial Logistic Regression `Classifier`.
| SMLRWeights `SensitivityAnalyzer` that reports the weights SMLR trained on a given Dataset.

Functions | [hide private]

_label2oneofm(labels, ulabels) Convert labels to one-of-M form. | source code

Variables | [hide private]

| _DEFAULT_IMPLEMENTATION = `"C"`
| _cStepwiseRegression = `None` hash(x)

Imports: N, warning, externals, Classifier, Sensitivity, ConvergenceError, Parameter, StateVariable, SecondAxisMaxOfAbs, debug

Function Details | [hide private]

### _label2oneofm(labels, ulabels)

source code

Convert labels to one-of-M form.

TODO: Might be useful elsewhere so could migrate into misc/