Subkey

Description

Variance

If True, exclude features which have a variance < 0.01. Based on ` sklearn”s VarianceThreshold <https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.VarianceThreshold.html/>`_.

GroupwiseSearch

Randomly select which feature groups to use. Parameters determined by the SelectFeatGroup config part, see below.

SelectFromModel

Select features by first training a LASSO model. The alpha for the LASSO model is randomly generated. See also sklearn”s SelectFromModel.

UsePCA

If True, Use Principle Component Analysis (PCA) to select features.

PCAType

Method to select number of components using PCA: Either the number of components that explains 95% of the variance, or use a fixed number of components.95variance

StatisticalTestUse

If True, use statistical test to select features.

StatisticalTestMetric

Define the type of statistical test to be used.

StatisticalTestThreshold

Specify a threshold for the p-value threshold used in the statistical test to select features. The first element defines the lower boundary, the other the upper boundary. Random sampling will occur between the boundaries.

ReliefUse

If True, use Relief to select features.

ReliefNN

Min and max of number of nearest neighbors search range in Relief.

ReliefSampleSize

Min and max of sample size search range in Relief.

ReliefDistanceP

Min and max of positive distance search range in Relief.

ReliefNumFeatures

Min and max of number of features that is selected search range in Relief.