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### Single machine Iron Man XGBoost multiclass classification
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This notebook `single-xgboost-multiclassification.ipynb` demos end2end training and scoring multi-classification model with single machine XGBoost. The dataset used is MNIST digit recognition dataset in LIBSVM format, which has a training set of 60,000 examples, and a test set of 10,000 examples. The parameters are the same as the open source XGBoost. This notebook will walk the users through data preparation, IM training, IM hosting, and prediction.
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### Distributed Iron Man XGBoost multi-classification
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This notebook `distributed-xgboost-multiclassification.ipynb` demos end2end training and scoring multi-classification model with distributed XGBoost backed by YARN. The dataset used is MNIST digit recognition dataset in LIBSVM format. which has a training set of 60,000 examples, and a test set of 10,000 examples. The parameters are the same as the open source XGBoost. This notebook will walk the user through data preparation, IM training, IM hosting, and prediction.
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