iter_sklearn_dataset

Iterates rows from one of the datasets provided by scikit-learn.

This allows you to use any dataset from scikit-learn's datasets module. For instance, you can use the fetch_openml function to get access to all of the datasets from the OpenML website.

Parameters

• dataset ('sklearn.utils.Bunch')

  A scikit-learn dataset.

• kwargs

  Extra keyword arguments are passed to the underlying call to stream.iter_array.

Examples

>>> import pprint
>>> from sklearn import datasets
>>> from river import stream

>>> dataset = datasets.load_boston()

>>> for xi, yi in stream.iter_sklearn_dataset(dataset):
...     pprint.pprint(xi)
...     print(yi)
...     break
{'AGE': 65.2,
    'B': 396.9,
    'CHAS': 0.0,
    'CRIM': 0.00632,
    'DIS': 4.09,
    'INDUS': 2.31,
    'LSTAT': 4.98,
    'NOX': 0.538,
    'PTRATIO': 15.3,
    'RAD': 1.0,
    'RM': 6.575,
    'TAX': 296.0,
    'ZN': 18.0}
24.0