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sklearn.datasets.fetch_covtype

sklearn.datasets.fetch_covtype(data_home=None, download_if_missing=True, random_state=None, shuffle=False, return_X_y=False) [source]

Load the covertype dataset (classification).

Download it if necessary.

Read more in the User Guide.

Parameters:

Parameters:	`data_home : string, optional` 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 : boolean, 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. `random_state : int, RandomState instance or None (default)` Determines random number generation for dataset shuffling. Pass an int for reproducible output across multiple function calls. See Glossary. `shuffle : bool, default=False` Whether to shuffle dataset. `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 : numpy array of shape (581012, 54)` Each row corresponds to the 54 features in the dataset. `dataset.target : numpy array of shape (581012,)` Each value corresponds to one of the 7 forest covertypes with values ranging between 1 to 7. `dataset.DESCR : string` Description of the forest covertype dataset. `(data, target) : tuple if return_X_y is True` New in version 0.20.

data_home : string, optional: 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 : boolean, 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.
random_state : int, RandomState instance or None (default): Determines random number generation for dataset shuffling. Pass an int for reproducible output across multiple function calls. See Glossary.
shuffle : bool, default=False: Whether to shuffle dataset.
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 : numpy array of shape (581012, 54): Each row corresponds to the 54 features in the dataset.
dataset.target : numpy array of shape (581012,): Each value corresponds to one of the 7 forest covertypes with values ranging between 1 to 7.
dataset.DESCR : string: Description of the forest covertype dataset.
(data, target) : tuple if return_X_y is True: New in version 0.20.