sklearn_pmml_model.auto_detect.base

Module Contents

Functions

auto_detect_estimator(pmml, **kwargs)	Automatically detect and return the described estimator from PMML file.
auto_detect_classifier(pmml, **kwargs)	Automatically detect and return the described classifier from PMML file.
auto_detect_regressor(pmml, **kwargs)	Automatically detect and return the described regressor from PMML file.
detect_classifier(line)	Detect the type of classifier in line if present.
detect_regressor(line)	Detect the type of regressor in line if present.

sklearn_pmml_model.auto_detect.base.auto_detect_estimator(pmml, **kwargs)

Automatically detect and return the described estimator from PMML file.

Parameters:

pmmlstr, object

Filename or file object containing PMML data.

sklearn_pmml_model.auto_detect.base.auto_detect_classifier(pmml, **kwargs)

Automatically detect and return the described classifier from PMML file.

Parameters:

pmmlstr, object

Filename or file object containing PMML data.

sklearn_pmml_model.auto_detect.base.auto_detect_regressor(pmml, **kwargs)

Automatically detect and return the described regressor from PMML file.

Parameters:

pmmlstr, object

Filename or file object containing PMML data.

sklearn_pmml_model.auto_detect.base.detect_classifier(line)

Detect the type of classifier in line if present.

Parameters:

linestr, bytes

Line of a PMML file as a string.

pmmlstr, object

Filename or file object containing PMML data.

sklearn_pmml_model.auto_detect.base.detect_regressor(line)

Detect the type of regressor in line if present.

Parameters:

linestr, bytes

Line of a PMML file as a string.

pmmlstr, object

Filename or file object containing PMML data.