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Classifiers | ||
=========== | ||
Classifiers implement the :class:`capymoa.learner.learners.Classifier` interface. | ||
Classifiers implement the :class:`capymoa.Classifier` interface. | ||
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.. automodule:: capymoa.learner.classifier | ||
.. automodule:: capymoa.classifier | ||
:members: | ||
:undoc-members: | ||
:show-inheritance: | ||
:inherited-members: |
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MOA Learners | ||
============ | ||
Interfaces for objects that wrap MOA functionality. | ||
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.. autoclass:: capymoa.base.MOAClassifier | ||
:members: | ||
:undoc-members: | ||
:show-inheritance: | ||
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.. autoclass:: capymoa.base.MOARegressor | ||
:members: | ||
:undoc-members: | ||
:show-inheritance: | ||
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Regressors | ||
========== | ||
Regressors implement the :class:`capymoa.learner.learners.Regressor` interface. | ||
Regressors implement the :class:`capymoa.Regressor` interface. | ||
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.. automodule:: capymoa.learner.regressor | ||
.. automodule:: capymoa.regressor | ||
:members: | ||
:undoc-members: | ||
:show-inheritance: | ||
:inherited-members: | ||
|
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Split Criterions | ||
================ | ||
Decision trees are built by splitting the data into groups based on a split | ||
criterion. The split criterion is a function that measures the quality of a | ||
split. | ||
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.. automodule:: capymoa.splitcriteria | ||
:members: | ||
:undoc-members: | ||
:inherited-members: |
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