Fried#
- class capymoa.datasets.Fried[source]#
Bases:
_DownloadableARFF
Fried is a regression problem based on the Friedman dataset.
Number of instances: 40,768
Number of attributes: 10
Number of targets: 1
This is an artificial dataset that contains ten features, only five out of which are related to the target value.
References:
Friedman, Jerome H. “Multivariate adaptive regression splines.” The annals of statistics 19, no. 1 (1991): 1-67.
- __init__(
- directory: str | Path = get_download_dir(),
- auto_download: bool = True,
Setup a stream from an ARFF file and optionally download it if missing.
- Parameters:
directory – Where downloads are stored. Defaults to
capymoa.datasets.get_download_dir()
.auto_download – Download the dataset if it is missing.
- __iter__() Iterator[_AnyInstance] [source]#
Get an iterator over the stream.
This will NOT restart the stream if it has already been iterated over. Please use the
restart()
method to restart the stream.- Yield:
An iterator over the stream.
- __next__() _AnyInstance [source]#
Get the next instance in the stream.
- Returns:
The next instance in the stream.
- next_instance() _AnyInstance [source]#
Return the next instance in the stream.
- Raises:
ValueError – If the machine learning task is neither a regression nor a classification task.
- Returns:
A labeled instances or a regression depending on the schema.