cellmap_data.CellMapSubset#

class cellmap_data.CellMapSubset(dataset: CellMapDataset | CellMapMultiDataset, indices: Sequence[int])[source]#

Parameters:

dataset (Dataset[_T_co]) – CellMapDataset | CellMapMultiDataset The dataset to be subsetted.
indices (Sequence[int]) – Sequence[int] The indices of the dataset to be used as the subset.

__init__(dataset: CellMapDataset | CellMapMultiDataset, indices: Sequence[int]) → None[source]#

Parameters:

dataset (CellMapDataset | CellMapMultiDataset) – CellMapDataset | CellMapMultiDataset The dataset to be subsetted.
indices (Sequence[int]) – Sequence[int] The indices of the dataset to be used as the subset.

Return type:

None

Methods

`__init__`(dataset, indices)
`set_raw_value_transforms`(transforms)	Sets the raw value transforms for the subset dataset.
`set_target_value_transforms`(transforms)	Sets the target value transforms for the subset dataset.
`to`(device)	Move the dataset to the specified device.

Attributes

`class_counts`	The number of samples in each class in the dataset normalized by resolution.
`class_weights`	The class weights for the dataset based on the number of samples in each class.
`classes`	The classes in the dataset.
`validation_indices`	The indices of the validation set.
`dataset`
`indices`

property class_counts: dict[str, float]#: The number of samples in each class in the dataset normalized by resolution.

property class_weights: dict[str, float]#: The class weights for the dataset based on the number of samples in each class.

property validation_indices: Sequence[int]#: The indices of the validation set.

Move the dataset to the specified device.

set_raw_value_transforms(transforms: Callable) → None[source]#

Sets the raw value transforms for the subset dataset.

set_target_value_transforms(transforms: Callable) → None[source]#

Sets the target value transforms for the subset dataset.

cellmap_data.CellMapSubset