avalanche.benchmarks.utils.DataAttribute

class avalanche.benchmarks.utils.DataAttribute(data: IDataset[T_co], name: str, use_in_getitem: bool = False)

Data attributes manage sample-wise information such as task or class labels.

It provides access to unique values (self.uniques) and their indices (self.val_to_idx). Both fields are initialized lazily.

Data attributes can be efficiently concatenated and subsampled.

__init__(data: IDataset[T_co], name: str, use_in_getitem: bool = False)

Data Attribute.

Parameters:

• data – a sequence of values, one for each sample.

• name – a name that uniquely identifies the attribute. It is used by AvalancheDataset to dynamically add it to its attributes.

• use_in_getitem – If True, AvalancheDataset will add the value at the end of each sample.

Methods

__init__(data, name[, use_in_getitem])	Data Attribute.
concat(other)	Concatenation operation.
index(value, [start, [stop]])	Raises ValueError if the value is not present.
subset(indices)	Subset operation.

Attributes

count	Dictionary of value -> count.
data
uniques	Set of unique values in the attribute.
val_to_idx	Dictionary mapping unique values to indices.