avalanche.benchmarks.scenarios.EagerCLStream

class avalanche.benchmarks.scenarios.EagerCLStream(name: str, exps: Sequence[TCLExperience], benchmark: CLScenario | None = None, set_stream_info: bool = True, slice_ids: Iterable[int] | None = None)

A CL stream build from a pre-initialized list of experience.

NOTE: streams should not be used by training strategies since they provide access to past, current, and future data.

__init__(name: str, exps: Sequence[TCLExperience], benchmark: CLScenario | None = None, set_stream_info: bool = True, slice_ids: Iterable[int] | None = None)

Create a CL stream given a list of experiences. :param name: name of the stream. :param exps: list of experiences. :param benchmark: a reference to the benchmark. :param set_stream_info: if True, set the origin_stream and

current_experience identifier for each experience. If False, the attributes are left unchanged.

Parameters:

slice_ids – The indices of experiences to include. from the original stream. Defaults to None. For internal use.

Methods

__init__(name, exps[, benchmark, ...])	Create a CL stream given a list of experiences. :param name: name of the stream. :param exps: list of experiences. :param benchmark: a reference to the benchmark. :param set_stream_info: if True, set the origin_stream and current_experience identifier for each experience. If False, the attributes are left unchanged. :param slice_ids: The indices of experiences to include. from the original stream. Defaults to None. For internal use.
count(value)
index(value, [start, [stop]])	Raises ValueError if the value is not present.

Attributes

exps
slice_ids	Describes which experiences are contained in the current stream slice.
name	The name of the stream (for instance: "train", "test", "valid", ...).
exps_iter	The iterable from which experiences will be obtained.
benchmark	A reference to the benchmark.
set_stream_info	If True, will set the current_experience and origin_stream fields on experience objects before returning them.