load_forecasting¶

load_forecasting(name, extract_path=None, return_metadata=False)[source]¶

Download/load forecasting problem from https://forecastingdata.org/.

Parameters:

namestring, file name to load from
extract_pathoptional (default = None): Path of the location for the data file. If none, data is written to os.path.dirname(__file__)/data/
return_metadataboolean, default = True: If True, returns a tuple (data, metadata)

Returns:

X: Data stored in a dataframe, each column a series
metadata: optional: returns the following meta data frequency,forecast_horizon,contain_missing_values,contain_equal_length

Raises:

URLError or HTTPError: If the website is not accessible.
ValueError: If a dataset name that does not exist on the repo is given or if a webpage is requested that does not exist.

Examples

>>> from aeon.datasets import load_forecasting
>>> X=load_forecasting("m1_yearly_dataset") 