`intake_io.dataset`

Submodules

Package Contents

Classes

`CachedDataset`
`Dataset`
`IntakeDataset`
`CategorizedDataset`
`AnnotatedDataset`
`MappedDataset`
`Dataset`
`SubsetDataset`

Functions

`get_categories`(data) → pandas.DataFrame
`get_categories`(data) → pandas.DataFrame
`shuffle_split`(data, ratio: float = 0.2) → Dict[str, List[Dict[str, Any]]]

class intake_io.dataset.CachedDataset(data: Any)

class intake_io.dataset.Dataset: Bases: torch.utils.data.Dataset

class intake_io.dataset.IntakeDataset(catalog: Union[str, intake.catalog.Catalog])

Bases: Dataset

close(self)

get_dtype(self, i: int) → numpy.dtype

get_shape(self, i: int) → Tuple[int, Ellipsis]

median_shape(self) → Tuple[int, Ellipsis]

get_spacing(self, i: int) → Tuple[float, Ellipsis]

median_spacing(self) → Tuple[float, Ellipsis]

get_metadata(self, i: int) → Dict[str, Any]

class intake_io.dataset.CategorizedDataset(catalog: Union[str, intake.catalog.Catalog], get_category, loader=None)

Bases: IntakeDataset

get_category(self, i: int) → str

all_categories(self) → intake_io.dataset.util.pd.DataFrame

class intake_io.dataset.AnnotatedDataset(catalog: Union[str, intake.catalog.Catalog], get_annotations, loader=None)

Bases: IntakeDataset

get_annotations(self, i: int) → intake_io.dataset.util.pd.DataFrame

get_category_name_column(self, columns) → str

all_categories(self) → intake_io.dataset.util.pd.DataFrame

class intake_io.dataset.MappedDataset(data: Any, mapper: Any)

intake_io.dataset.get_categories(data) → pandas.DataFrame

class intake_io.dataset.Dataset: Bases: torch.utils.data.Dataset

intake_io.dataset.get_categories(data) → pandas.DataFrame

class intake_io.dataset.SubsetDataset(data: Any, ixs: Tuple[int, Ellipsis])

Bases: intake_io.dataset.dataset.Dataset

subset_categories(self) → pandas.DataFrame

intake_io.dataset.shuffle_split(data, ratio: float = 0.2) → Dict[str, List[Dict[str, Any]]]