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 |
---|---|
A procedural table where a column in the input table column has been has dimensionally reduced by the PaCMAP algorithm. |
Data¶
Data |
Description |
---|---|
API¶
- pacmap = _lazy_import(...)¶
- class PaCMAPTable(
- *,
- url: Url | None = None,
- created: str | None = None,
- description: str | None = None,
- row_cache_url: Url | None = None,
- row_cache_populated: bool | None = None,
- input_table_url: Url | 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: Table | Url | None = None,
- model_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,
- standard_scaler_normalize: bool | None = None,
- input_tables: list[Url] | None = None,
Bases:
tlc.core.objects.tables.from_table.dimensional_reduction_table._DimensionalReductionTable
A procedural table where a column in the input table column has been has dimensionally reduced by the PaCMAP algorithm.
Creates a derived table with a new column containing the dimensionally reduced data.
- Parameters:
input_table_url – The input table to apply the dimensionality reduction to
source_embedding_column – The column in the input table to apply dimensionality reduction to
target_embedding_column – The name of the new column to create in the output table
retain_source_embedding_column – Whether to retain the source column in the input table, defaults to False
standard_scaler_normalize – Whether to apply the sklearn standard scaler to input before reducing, defaults to False
fit_table_url – The table to use for fitting reduction transform. If not specified, the input table is used.
model_url – The URL to store/load the reducer model file. If empty, no model is saved.
n_components – The dimension of the output embedding
random_state – The random seed for the reducer algorithm
- algorithm_name = PaCMAP¶