load_regression#
- load_regression(name, split=None, extract_path=None, return_metadata=True)[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/<name>/
- splitNone or str{“train”, “test”}, default=None
Whether to load the train or test partition of the problem. By default it loads both into a single dataset, otherwise it looks only for files of the format <name>_TRAIN.ts or <name>_TEST.ts.
- return_metadataboolean, default = True
If True, returns a tuple (X, y, metadata)
- Returns:
- X: np.ndarray or list of np.ndarray
- y: numpy array
The target response variable for each case in X
- metadata: optional
returns the following meta data ‘problemname’,timestamps, missing,univariate,equallength. targetlabel should be true, and classlabel false
- Raises:
- Raise ValueException if the requested return type is not supported