Histogram

sequence: 'Sequence | None' = None,
np_histogram: 'NumpyHistogram | None' = None,
num_bins: 'int' = 64

Description

W&B class for histograms.

This object works just like numpy’s histogram function https://docs.scipy.org/doc/numpy/reference/generated/numpy.histogram.html

Attributes: bins ([float]): Edges of bins histogram ([int]): Number of elements falling in each bin.

Args:

• sequence:
• np_histogram:
• num_bins:

Methods:

from_json

Deserialize a json_obj into it’s class representation.

If additional resources were stored in the run_or_artifact artifact during the to_json call, then those resources should be in the source_artifact.

init_from_json

Initialize a WBValue from a JSON blob based on the class that created it.

Looks through all subclasses and tries to match the json obj with the class which created it. It will then call that subclass’ from_json method. Importantly, this function will set the return object’s source_artifact attribute to the passed in source artifact. This is critical for artifact bookkeeping. If you choose to create a wandb.Value via it’s from_json method, make sure to properly set this artifact_source to avoid data duplication.

to_data_array

Convert the object to a list of primitives representing the underlying data.

type_mapping

Return a map from _log_type to subclass. Used to lookup correct types for deserialization.

with_suffix

Get the name with the appropriate suffix.