immuneML.ml_methods.dim_reduction package¶

Submodules¶

immuneML.ml_methods.dim_reduction.DimRedMethod module¶

class immuneML.ml_methods.dim_reduction.DimRedMethod.DimRedMethod(name: str = None)[source]¶

Bases: object

Dimensionality reduction methods are algorithms which can be used to reduce the dimensionality of encoded datasets, in order to uncover and analyze patterns present in the data.

These methods can be used in the ExploratoryAnalysis and Clustering instructions.

DOCS_TITLE = 'Dimensionality reduction methods'¶

abstract fit(dataset: Dataset = None, design_matrix: ndarray = None)[source]¶

fit_transform(dataset: Dataset = None, design_matrix: ndarray = None)[source]¶

abstract get_dimension_names() → List[str][source]¶

classmethod get_title()[source]¶

abstract transform(dataset: Dataset = None, design_matrix: ndarray = None)[source]¶

immuneML.ml_methods.dim_reduction.KernelPCA module¶

immuneML.ml_methods.dim_reduction.PCA module¶

immuneML.ml_methods.dim_reduction.TSNE module¶

immuneML.ml_methods.dim_reduction.UMAP module¶

Module contents¶