composeml.LabelMaker.search

LabelMaker.search(df, num_examples_per_instance, minimum_data=None, gap=None, drop_empty=True, verbose=True, *args, **kwargs)

Searches the data to calculates labels.

Parameters

• df (DataFrame) – Data frame to search and extract labels.

• num_examples_per_instance (int or dict) – The expected number of examples to return from each entity group. A dictionary can be used to further specify the expected number of examples to return from each label.

• minimum_data (str) – Minimum data before starting search. Default value is first time of index.

• gap (str or int) – Time between examples. Default value is window size. If an integer, search will start on the first event after the minimum data.

• drop_empty (bool) – Whether to drop empty slices. Default value is True.

• verbose (bool) – Whether to render progress bar. Default value is True.

• *args – Positional arguments for labeling function.

• **kwargs – Keyword arguments for labeling function.

Returns

Calculated labels with cutoff times.

Return type

lt (LabelTimes)