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Docs: minor fixes
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@@ -272,7 +272,7 @@ dtype: float64
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<h3 id="using-customized-ml-classifiers-and-regressors">Using customized ML classifiers and regressors</h3>
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<p>By default, given a training set of instantes, MIPLearn trains a fixed set of ML classifiers and regressors, then
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selects the best one based on cross-validation performance. Alternatively, the user specify which model a component
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selects the best one based on cross-validation performance. Alternatively, the user may specify which ML model a component
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should use through the <code>classifier</code> or <code>regressor</code> contructor parameters. The provided classifiers and regressors must
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follow the sklearn API. In particular, classifiers must provide the methods <code>fit</code>, <code>predict_proba</code> and <code>predict</code>,
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while regressors must provide the methods <code>fit</code> and <code>predict</code></p>
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