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sklearn.datasets.fetch_california_housing

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

Loader for the California housing dataset from StatLib.

Read more in the User Guide.

Parameters:

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, True by default If False, raise a IOError if the data is not locally available instead of trying to download the data from the source site.
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_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, True by default

If False, raise a IOError if the data is not locally available instead of trying to download the data from the source site.

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.