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README.md

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@@ -63,7 +63,7 @@ primary entry point for training a model. It accepts a Nx tensor for the feature
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accepts a keyword list of options that can be used to configure the training process. See the
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[XGBoost documentation](https://xgboost.readthedocs.io/en/latest/parameter.html) for the full list of options.
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`Exgbost.train/2` uses the `EXGBoost.Training.train/1` function to perform the actual training. `EXGBoost.Training.train/1`
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`EXGBoost.train/2` uses the `EXGBoost.Training.train/1` function to perform the actual training. `EXGBoost.Training.train/1`
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and can be used directly if you wish to work directly with the `DMatrix` and `Booster` structs.
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One of the main features of `EXGBoost.train/2` is the ability for the end user to provide a custom training function
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list of parameters.
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```elixir
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Exgboot.train(X,
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EXGBoost.train(X,
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y,
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obj: &EXGBoost.Training.train/1,
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evals: [{X_test, y_test, "test"}],

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