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redbrain_repo

Description of pipeline in notebook

  1. Tokenization texts.
  2. Preprocessing categorical data.
  3. Training XGBoost model.

Loading weights

loaded_model = xgb.XGBClassifier()

Load the model weights from the file

loaded_model.load_model('model_weights.json')

Now you can use the loaded model

y_pred = loaded_model.predict(X_test)

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