-
sklearn.datasets.fetch_covtype(data_home=None, download_if_missing=True, random_state=None, shuffle=False)
[source] -
Load the covertype dataset, downloading it if necessary.
Read more in the User Guide.
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, optional (default=None)
Random state for shuffling the dataset. If int, random_state is the seed used by the random number generator; If RandomState instance, random_state is the random number generator; If None, the random number generator is the RandomState instance used by
np.random
.shuffle : bool, default=False
Whether to shuffle dataset.
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.
sklearn.datasets.fetch_covtype()
2017-01-15 04:25:40
Please login to continue.