vak.datasets.parametric_umap.parametric_umap.ParametricUMAPInferenceDataset

class vak.datasets.parametric_umap.parametric_umap.ParametricUMAPInferenceDataset(data: ndarray[Any, dtype[_ScalarType_co]], dataset_df: DataFrame, transform: Callable | None = None)

Bases: Dataset

__init__(data: ndarray[Any, dtype[_ScalarType_co]], dataset_df: DataFrame, transform: Callable | None = None)

Methods

__init__(data, dataset_df[, transform])
from_dataset_path(dataset_path, split[, ...])	param dataset_path: Path to a directory that represents a dataset.

Attributes

duration
shape

classmethod from_dataset_path(dataset_path: str | Path, split: str, n_neighbors: int = 10, metric: str = 'euclidean', random_state: int | None = None, n_epochs: int = 200, transform: Callable | None = None)

Parameters:

• dataset_path (str, pathlib.Path) – Path to a directory that represents a dataset.

• split –

• n_neighbors –

• metric –

• random_state –

• n_epochs –

• transform –