tlc.client.reduce.reduction_method#
Base classes for dimensionality reducers.
Module Contents#
Classes#
Class |
Description |
|---|---|
Arguments specific to the reduction method. |
|
Perform dimensionality reduction on columns of tables. |
API#
- class tlc.client.reduce.reduction_method.ReducerArgs#
Bases:
typing.TypedDictArguments specific to the reduction method.
Initialize self. See help(type(self)) for accurate signature.
- class tlc.client.reduce.reduction_method.ReductionMethod(reducer_args: tlc.client.reduce.reduction_method._ReducerArgsType | None = None)#
Bases:
abc.ABC,typing.Generic[tlc.client.reduce.reduction_method._ReducerArgsType]Perform dimensionality reduction on columns of tables.
Dimensionality reduction is accomplished by creating derived tables of the appropriate type (e.g., UMAPTable) which apply the reduction method to the input tables.
- Params reducer_args:
A dictionary of arguments which are specific to the reduction method.
- abstract default_args() tlc.client.reduce.reduction_method._ReducerArgsType#
- abstract fit_and_apply_reduction(producer: tlc.core.objects.table.Table, consumers: list[tlc.core.objects.table.Table]) dict[tlc.core.url.Url, tlc.core.url.Url]#
- abstract fit_reduction_method(table: tlc.core.objects.table.Table, column: str) tlc.core.url.Url#
- abstract apply_reduction_method(table: tlc.core.objects.table.Table, fit_table_url: tlc.core.url.Url, column: str) tlc.core.url.Url | None#