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).

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

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