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@@ -28,8 +28,8 @@ such as ``SymbolAccuracy`` and ``ReasoningMetric`` (both specialized metrics |
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inherited from the ``BaseMetric`` class), for evaluating performance from a |
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data perspective. |
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:blue-bold:`Learning` part focuses on the construction, training, and |
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prediction of machine learning models. The ``ABLModel`` class is the |
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:blue-bold:`Learning` part focuses on creating, training, and utilizing |
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machine learning models. The ``ABLModel`` class is the |
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central class that encapsulates the machine learning model. This class is |
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compatible with various frameworks, including those based on scikit-learn |
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or PyTorch neural networks constructed by the ``BasicNN`` class. |
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