6.10. Transformers

Classes .. currentmodule:: julearn.transformers

DropColumns(apply_to[, row_select_col_type, ...])	Drop columns of a DataFrame.
ChangeColumnTypes(X_types_renamer, apply_to)	Transformer to change the column types.
SetColumnTypes([X_types, ...])	Transformer to set the column types.
FilterColumns([keep, row_select_col_type, ...])	Filter columns of a DataFrame.
CBPM([significance_threshold, corr_method, ...])	Transformer that aggregates together all features significantly correlated to the target.
JuColumnTransformer(name, transformer, apply_to)	Column transformer that can be used in a Junifer pipeline.
confound_remover.ConfoundRemover([apply_to, ...])	Remove confounds from specific features.

Functions

list_transformers()	List all the available transformers.
get_transformer(name, **params)	Get a transformer.
register_transformer(transformer_name, ...)	Register a transformer to julearn.
reset_transformer_register()	Reset the transformer register to its initial state.

6.11. Target Transformers

Classes .. currentmodule:: julearn.transformers.target

JuTransformedTargetModel(model, transformer)	Class that provides a model that supports transforming the target.
JuTargetTransformer()	Base class for target transformers.
TargetConfoundRemover([model_confound, ...])	Remove confounds from the target.
TransformedTargetWarning	Warning used to notify the user that the target has been transformed.

Functions

get_target_transformer(name, **params)	Get a target transformer by name.
list_target_transformers()	List all the available target transformers.
register_target_transformer(...[, overwrite])	Register a target transformer to julearn.
reset_target_transformer_register()	Reset the target transformer register to its initial state.