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from fuel.datasets import H5PYDataset
from fuel.utils import find_in_data_path
class Iris(H5PYDataset):
u"""Iris dataset.
Iris [IRIS] is a simple pattern recognition dataset, which consist of
3 classes of 50 examples each having 4 real-valued features each, where
each class refers to a type of iris plant. It is accessible through the
UCI Machine Learning repository [UCIIRIS].
.. [IRIS] Ronald A. Fisher, *The use of multiple measurements in
taxonomic problems*, Annual Eugenics, 7, Part II, 179-188,
September 1936.
.. [UCIIRIS] https://archive.ics.uci.edu/ml/datasets/Iris
Parameters
----------
which_sets : tuple of str
Which split to load. Valid value is 'all'
corresponding to 150 examples.
"""
filename = 'iris.hdf5'
def __init__(self, which_sets, **kwargs):
kwargs.setdefault('load_in_memory', True)
super(Iris, self).__init__(
file_or_path=find_in_data_path(self.filename),
which_sets=which_sets, **kwargs)
mila-udem /
fuel
