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Add note to model builders file (#1814)
* Update model-builders.rst added to the note * Update model-builders.rst edited note * Update doc/daal4py/model-builders.rst Co-authored-by: Alexandra <[email protected]> * Update doc/daal4py/model-builders.rst Co-authored-by: Alexandra <[email protected]> --------- Co-authored-by: Alexandra <[email protected]>
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doc/daal4py/model-builders.rst

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@@ -36,8 +36,14 @@ daal4py Model Builders deliver the accelerated
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models inference of those frameworks. The inference is performed by the oneDAL GBT implementation tuned
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for the best performance on the Intel(R) Architecture.
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.. note::
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Currently, experimental support for XGBoost* and LightGBM* categorical data is not supported.
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For the model conversion to work with daal4py, convert non-numeric data to numeric data
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before training and converting the model.
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Conversion
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---------
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----------
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The first step is to convert already trained model. The
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API usage for different frameworks is the same:
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@@ -133,3 +139,4 @@ Articles and Blog Posts
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---------------------------------
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- `Improving the Performance of XGBoost and LightGBM Inference <https://medium.com/intel-analytics-software/improving-the-performance-of-xgboost-and-lightgbm-inference-3b542c03447e>`_
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