composeml.LabelTimes.sample¶
- LabelTimes.sample(n=None, frac=None, random_state=None, replace=False, per_instance=False)[source]¶
Return a random sample of labels.
- Parameters
n (int or dict) – Sample number of labels. A dictionary returns the number of samples to each label. Cannot be used with frac.
frac (float or dict) – Sample fraction of labels. A dictionary returns the sample fraction to each label. Cannot be used with n.
random_state (int) – Seed for the random number generator.
replace (bool) – Sample with or without replacement. Default value is False.
per_instance (bool) – Whether to apply sampling to each group. Default is False.
- Returns
Random sample of labels.
- Return type
Examples
Create a label times object.
>>> entity = [0, 0, 1, 1] >>> labels = [True, False, True, False] >>> data = {'entity': entity, 'labels': labels} >>> lt = LabelTimes(data=data, target_dataframe_index='entity', target_columns=['labels']) >>> lt entity labels 0 0 True 1 0 False 2 1 True 3 1 False
Sample a number of the examples.
>>> lt.sample(n=3, random_state=0) entity labels 1 0 False 2 1 True 3 1 False
Sample a fraction of the examples.
>>> lt.sample(frac=.25, random_state=0) entity labels 2 1 True
Sample a number of the examples for specific labels.
>>> n = {True: 1, False: 1} >>> lt.sample(n=n, random_state=0) entity labels 2 1 True 3 1 False
Sample a fraction of the examples for specific labels.
>>> frac = {True: .5, False: .5} >>> lt.sample(frac=frac, random_state=0) entity labels 2 1 True 3 1 False
Sample a number of the examples from each entity group.
>>> lt.sample(n={True: 1}, per_instance=True, random_state=0) entity labels 0 0 True 2 1 True
Sample a fraction of the examples from each entity group.
>>> lt.sample(frac=.5, per_instance=True, random_state=0) entity labels 1 0 False 3 1 False