tlc.core.objects.tables.from_table.pacmap_table#

A Table where a column from the input Table has been dimensionally reduced by the PaCMAP algorithm.

Module Contents#

Classes#

Class

Description

PaCMAPTable

A procedural table where a column in the input table column has been has dimensionally reduced by the PaCMAP algorithm.

Data#

Data

Description

pacmap

API#

tlc.core.objects.tables.from_table.pacmap_table.pacmap = None#
class tlc.core.objects.tables.from_table.pacmap_table.PaCMAPTable(url: tlc.core.url.Url | None = None, created: str | None = None, dataset_name: str | None = None, row_cache_url: tlc.core.url.Url | None = None, row_cache_populated: bool | None = None, input_table_url: tlc.core.url.Url | tlc.core.objects.table.Table | None = None, source_embedding_column: str | None = None, target_embedding_column: str | None = None, retain_source_embedding_column: bool | None = None, fit_table_url: tlc.core.objects.table.Table | tlc.core.url.Url | None = None, model_url: tlc.core.url.Url | None = None, n_components: int | None = None, n_neighbors: int | None = None, MN_ratio: float | None = None, FP_ratio: float | None = None, distance: str | None = None, lr: float | None = None, num_iters: int | None = None, verbose: bool | None = None, apply_pca: bool | None = None, random_state: int | None = None, init_parameters: Any = None)#

Bases: tlc.core.objects.table.Table

A procedural table where a column in the input table column has been has dimensionally reduced by the PaCMAP algorithm.

ensure_dependent_properties() None#