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

Load the California housing dataset (regression).

Samples total 20640
Dimensionality 8
Features real
Target real 0.15 - 5.

Read more in the User Guide.

data_home : optional, 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_missing : optional, 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_y : boolean, default=False.

If True, returns (, instead of a Bunch object.

New in version 0.20.

dataset : dict-like object with the following attributes: : ndarray, shape [20640, 8]

Each row corresponding to the 8 feature values in order. : numpy array of shape (20640,)

Each value corresponds to the average house value in units of 100,000.

dataset.feature_names : array of length 8

Array of ordered feature names used in the dataset.

dataset.DESCR : string

Description of the California housing dataset.

(data, target) : tuple if return_X_y is True

New in version 0.20.


This dataset consists of 20,640 samples and 9 features.

Examples using sklearn.datasets.fetch_california_housing