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Docs: minor fixes

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Alinson S. Xavier
2020-05-05 14:32:38 -05:00
parent 857e6af1a0
commit 3ac9852869
5 changed files with 4 additions and 4 deletions
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src/docs/customization.md
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@@ -141,7 +141,7 @@ dtype: float64
### Using customized ML classifiers and regressors
By default, given a training set of instantes, MIPLearn trains a fixed set of ML classifiers and regressors, then
selects the best one based on cross-validation performance. Alternatively, the user specify which model a component
selects the best one based on cross-validation performance. Alternatively, the user may specify which ML model a component
should use through the `classifier` or `regressor` contructor parameters. The provided classifiers and regressors must
follow the sklearn API. In particular, classifiers must provide the methods `fit`, `predict_proba` and `predict`,
while regressors must provide the methods `fit` and `predict`