fuzzy-rough-learn API¶
This is the full API documentation of fuzzy-rough-learn.
Neighbours¶
The frlearn.neighbours
subpackage implements nearest neighbour algorithms.
Classifiers¶
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Implementation of Fuzzy Rough Nearest Neighbour (FRNN) classification (FRNN). |
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Implementation of the Fuzzy Rough OVO COmbination (FROVOCO) ensemble classifier. |
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Implementation of the Fuzzy ROugh NEighbourhood Consensus (FRONEC) multilabel classifier. |
Nearest Neighbour Search¶
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Abstract base class for nearest neighbour searches. |
Nearest neighbour search with a Ball tree. |
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Nearest neighbour search with a KD-tree. |
Preprocessors¶
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Implementation of the Fuzzy Rough Feature Selection (FRFS) preprocessor. |
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Implementation of the Fuzzy Rough Prototype Selection (FRPS) preprocessor. |
Utils¶
The frlearn.utils
subpackage implements utility functions used in the
other modules.
numpy utils¶
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Returns the k first values of a along the specified axis. |
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Returns the k last values of a along the specified axis, in reverse order. |
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Returns the k least values of a along the specified axis, in order. |
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Returns the k greatest values of a along the specified axis, in order. |
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Divides x by y, replacing np.nan values with fallback. |
OWA Operators¶
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Ordered Weighted Averaging (OWA) operator, which can be applied to an array to obtain its ordered weighted average. |