`sklearn.datasets`.fetch_california_housing¶

sklearn.datasets.fetch_california_housing(*, data_home=None, download_if_missing=True, return_X_y=False, as_frame=False)[source]¶

Load the California housing dataset (regression).

Read more in the User Guide.

Parameters

data_homeoptional, default: None: Specify another download and cache folder for the datasets. By default all scikit-learn data is stored in ‘~/scikit_learn_data’ subfolders.
download_if_missingoptional, default=True: If False, raise a IOError if the data is not locally available instead of trying to download the data from the source site.
return_X_yboolean, default=False.: If True, returns (data.data, data.target) instead of a Bunch object.

New in version 0.20.
as_frameboolean, default=False: If True, the data is a pandas DataFrame including columns with appropriate dtypes (numeric, string or categorical). The target is a pandas DataFrame or Series depending on the number of target_columns.

New in version 0.23.

Returns

datasetBunch

Dictionary-like object, with the following attributes.

datandarray, shape (20640, 8): Each row corresponding to the 8 feature values in order. If as_frame is True, data is a pandas object.
targetnumpy array of shape (20640,): Each value corresponds to the average house value in units of 100,000. If as_frame is True, target is a pandas object.
feature_nameslist of length 8: Array of ordered feature names used in the dataset.
DESCRstring: Description of the California housing dataset.

(data, target)tuple if return_X_y is True