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PBS

PBS

class PBS[source]

Load the Pharmaceutical Benefit Scheme (PBS) univariate time series dataset [1].

Notes

The Pharmaceutical Benefits Scheme (PBS) is the Australian government drugs subsidy scheme. Data comprises the number of scripts sold each month for immune sera and immunoglobulin products in Australia.

Dimensionality: univariate Series length: 204 Frequency: Monthly Number of cases: 1

The time series is intermittent, i.e. it contains small counts, with many months registering no sales at all, and only small numbers of items sold in other months.

References

[1]

Data for “Forecasting: Principles and Practice” (3rd Edition).

Examples

>>> from sktime.datasets.forecasting import PBS
>>> dataset = PBS()
>>> y = dataset.load("y")

Methods

cache_files_directory()

Get the directory where cache files are stored.

cleanup_cache_files()

Cleanup cache files from the cache directory.

clone()

Obtain a clone of the object with same hyper-parameters and config.

clone_tags(estimator[, tag_names])

Clone tags from another object as dynamic override.

create_test_instance([parameter_set])

Construct an instance of the class, using first test parameter set.

create_test_instances_and_names([parameter_set])

Create list of all test instances and a list of names for them.

get_class_tag(tag_name[, tag_value_default])

Get class tag value from class, with tag level inheritance from parents.

get_class_tags()

Get class tags from class, with tag level inheritance from parent classes.

get_config()

Get config flags for self.

get_param_defaults()

Get object's parameter defaults.

get_param_names([sort])

Get object's parameter names.

get_params([deep])

Get a dict of parameters values for this object.

get_tag(tag_name[, tag_value_default, ...])

Get tag value from instance, with tag level inheritance and overrides.

get_tags()

Get tags from instance, with tag level inheritance and overrides.

get_test_params([parameter_set])

Return testing parameter settings for the skbase object.

is_composite()

Check if the object is composed of other BaseObjects.

keys()

Return a list of available sets.

load(*args)

Load the dataset.

load_from_path(serial)

Load object from file location.

load_from_serial(serial)

Load object from serialized memory container.

loader_func()

Load the Pharmaceutical Benefit Scheme univariate time series dataset [Rdda5ea49b62c-1].

reset()

Reset the object to a clean post-init state.

save([path, serialization_format])

Save serialized self to bytes-like object or to (.zip) file.

set_config(**config_dict)

Set config flags to given values.

set_params(**params)

Set the parameters of this object.

set_random_state([random_state, deep, ...])

Set random_state pseudo-random seed parameters for self.

set_tags(**tag_dict)

Set instance level tag overrides to given values.

get_loader_func