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 TrueNew in version 0.20.
Notes
This dataset consists of 20,640 samples and 9 features.