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