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_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.

Returns

datasetdict-like object with the following attributes:

dataset.datandarray, shape [20640, 8]

Each row corresponding to the 8 feature values in order.

dataset.targetnumpy array of shape (20640,)

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

dataset.feature_namesarray of length 8

Array of ordered feature names used in the dataset.

dataset.DESCRstring

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¶

Partial Dependence Plots¶