RegressionPredictorFactory Class Reference

Factory class for regression predictors. More...

Inherits PredictorFactoryBaseEx.

Public Member Functions
None	use_settings_from_predictor (self, cvb.polimago.RegressionPredictor clf)
	Copy the predictor generation settings from a predictor.
None	use_settings_from_test_result (self, cvb.polimago.RegressionTestResult res)
	Copy the predictor generation settings from a test result.
Public Member Functions inherited from PredictorFactoryBaseEx
int	interpolation_default ()
	Default value for interpolation.
Public Member Functions inherited from PredictorFactoryBase
int	feature_resolution_default ()
	Default value for feature resolution.
cvb.NumberRange	feature_resolution_range ()
	Valid range of feature resolution value.
str	format_preprocessing_code (str input)
	Correct a preprocessing code to make sure that no invalid characters are in the code and the code does not exceed the maximum length.
float	lambda_default ()
	Default value for lambda.
cvb.NumberRange	lambda_range ()
	Acceptable scale factor range for search classifier training.
int	preprocessing_max_length ()
	Maximum length of a preprocessing code (excluding the terminating zero).
List[str]	preprocessing_valid_characters ()
	Characters that a preprocessing string may contain.

Additional Inherited Members
Properties inherited from PredictorFactoryBaseEx
	feature_resolution = property
	int: The feature resolution (determines the size of the classification retina).
	interpolation = property
	int: The interpolation setting to be used for generating this object (see cvb.polimago.InterpolationType).
Properties inherited from PredictorFactoryBase
	lambda_ = property
	float: The regularization value to be used for generating the object.
	preprocessing = property
	str: Preprocessing code with which the object is to be generated.

Detailed Description

Factory class for regression predictors.

Instantiates a RegressionPredictorFactory object.

Member Function Documentation

use_settings_from_predictor()

None use_settings_from_predictor	(		self,
		cvb.polimago.RegressionPredictor	clf )

Copy the predictor generation settings from a predictor.

Parameters

clf : cvb.polimago.RegressionPredictor Predictor to take the settings from.

use_settings_from_test_result()

None use_settings_from_test_result	(		self,
		cvb.polimago.RegressionTestResult	res )

Copy the predictor generation settings from a test result.

Parameters

res : cvb.polimago.RegressionTestResult Test result object from which to adopt the training settings.