Dataset

from_data(
    data: RelationalData,
    preproc: EventPreproc,
    on_disk: bool = False,
    path: Path | str | None = None,
) -> EventDataset

Build an EventDataset from the input data.

Parameters:

Name	Type	Description	Default
`data`	`RelationalData`	A `RelationalData` object with the data to be processed.	required
`preproc`	`EventPreproc`	An `EventPreproc` to preprocess the data.	required
`on_disk`	`bool`	Whether to save the processed data on disk. If True, during training the data will be loaded one batch at a time. This may slightly slow down the training, but will reduce the memory consumption.	`False`
`path`	`Path \| str \| None`	The path to a directory where to save the processed data on disk. If None, it will be saved in a temporary directory.	`None`

Returns:

Type	Description
`EventDataset`	An `EventDataset` object.

from_disk(
    preproc: EventPreproc, path: Path | str
) -> EventDataset

Load an EventDataset from disk.

Parameters:

Name	Type	Description	Default
`preproc`	`EventPreproc`	The `EventPreproc` object used to preprocess the data.	required
`path`	`Path \| str`	The path to the directory where the processed data is stored on disk.	required

Returns:

Type	Description
`EventDataset`	An `EventDataset` object.