misc

Functions

capymoa.misc.load_model(file: BinaryIO) → object

Load a model from a jpype pickle file.

See also: save_model().

Parameters:

file – The file-like object to load the model from.

Returns:

The loaded model.

capymoa.misc.save_model(model: object, file: BinaryIO) → None

Save a model to a jpype pickle file.

>>> from capymoa.classifier import AdaptiveRandomForestClassifier
>>> from capymoa.datasets import ElectricityTiny
>>> from tempfile import TemporaryFile
>>> stream = ElectricityTiny()
>>> learner = AdaptiveRandomForestClassifier(schema=stream.get_schema())
>>> with TemporaryFile() as fd:
...     save_model(learner, fd)

See https://jpype.readthedocs.io/en/latest/api.html#jpype-pickle-module for more information.

Parameters:

• model – A python object optionally containing Java objects.

• file – The file-like object to save the model to.

capymoa.misc.save_stream_arff(

file: TextIO | Path | str,

stream: Stream,

) → None

Save a CapyMOA stream to an ARFF file.

Usage for classification datastream:

>>> from capymoa.stream import NumpyStream
>>> import numpy as np
>>> from io import StringIO
>>>
>>> stream = NumpyStream(
...     X=np.array([[0, 1], [1, 0], [0, 0]]),
...     y=np.array([0, 1, 0]),
...     dataset_name="SimpleDataset",
...     target_type="categorical"
... )
>>> fd = StringIO() # You can 'open' a real file instead
>>> save_stream_arff(fd, stream)
>>> print(fd.getvalue())
@relation SimpleDataset

@attribute 0 numeric
@attribute 1 numeric
@attribute target {0,1}

@data
0.0,1.0,0,
1.0,0.0,1,
0.0,0.0,0,

Usage for regression datastream:

>>> stream = NumpyStream(
...     X=np.array([[0, 1], [1, 0], [0, 0]]),
...     y=np.array([0, 1, 0]),
...     dataset_name="SimpleDataset",
...     target_type="numeric"
... )
>>> fd = StringIO() # You can 'open' a real file instead
>>> save_stream_arff(fd, stream)
>>> print(fd.getvalue())
@relation SimpleDataset

@attribute 0 numeric
@attribute 1 numeric
@attribute target numeric

@data
0.0,1.0,0.0,
1.0,0.0,1.0,
0.0,0.0,0.0,

Parameters:

• file – A file-like object or path to write the ARFF to.

• stream – The stream to save.