`sklearn.datasets`.fetch_california_housing¶

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

Load the California housing dataset (regression).

Read more in the User Guide.

Parameters:

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 (data.data, data.target) instead of a Bunch object.

New in version 0.20.

Returns:

dataset : dict-like object with the following attributes:
dataset.data : ndarray, shape [20640, 8]: Each row corresponding to the 8 feature values in order.
dataset.target : 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.

Notes

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

Examples using `sklearn.datasets.fetch_california_housing`¶