Source Dataset Iris

dffml.source.dataset.iris.iris_training(cache_dir: Path = PosixPath('/home/runner/.cache/dffml/datasets/iris'))

Examples

$ dffml list records -sources training=iris.training

>>> from dffml.noasync import load
>>> from dffml import iris_training
>>>
>>> records = list(load(iris_training.source()))
>>> print(len(records))
120
>>> records[0].export()
{'key': '0', 'features': {'SepalLength': 6.4, 'SepalWidth': 2.8, 'PetalLength': 5.6, 'PetalWidth': 2.2, 'classification': 2}, 'extra': {}}