tlc.client.reduce.umap

Dimensionality reduction with the UMAP algorithm.

Module Contents

Classes

Class	Description
UMapTableArgs	Arguments specific to the UMAP reduction method.
UMapReduction	Perform dimensionality reduction on columns of tables using the UMAP algorithm.

API

class tlc.client.reduce.umap.UMapTableArgs

Bases: tlc.client.reduce.reduction_method.ReducerArgs

Arguments specific to the UMAP reduction method.

See UMAPTable for more information.

Initialize self. See help(type(self)) for accurate signature.

n_components: int = None

The number of dimensions in the reduced space (default 2).

standard_scaler_normalize: bool = None

Whether to normalize the data before reducing it (default False).

n_neighbors: int = None

The number of neighbors to use when constructing the nearest neighbor graph (default 15).

metric: str = None

The metric to use when calculating distances between points in the input space (default: euclidean).

min_dist: float = None

The minimum distance between points in the reduced space (default 0.1).

n_jobs: int = None

The number of threads to use for the reduction (default -1).

class tlc.client.reduce.umap.UMapReduction(reducer_args: tlc.client.reduce.reduction_method._ReducerArgsType | None = None)

Bases: tlc.client.reduce.reduction_method.ReductionMethod[tlc.client.reduce.umap.UMapTableArgs]

Perform dimensionality reduction on columns of tables using the UMAP algorithm.

Params reducer_args:

A dictionary of arguments which are specific to the reduction method.

default_args() → tlc.client.reduce.umap.UMapTableArgs

Returns the default arguments for the UMAP reduction method.

fit_reduction_method(table: tlc.core.objects.table.Table, column: str) → tlc.core.url.Url

Fits a UMAPTable and returns the model URL

apply_reduction_method(table: tlc.core.objects.table.Table, fit_table_url: tlc.core.url.Url, column: str) → tlc.core.url.Url | None