Changes:
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Added EvalResult output after GPU catboost training
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Supported prediction type option on GPU
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Added
get_evals_result()method andevals_result_property to model in python wrapper to allow user access metric values -
Supported string labels for GPU training in cmdline mode
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Many improvements in JNI wrapper
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Updated NDCG metric: speeded up and added NDCG with exponentiation in numerator as a new NDCG mode
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CatBoost doesn't drop unused features from model after training
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Write training finish time and catboost build info to model metadata
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Fix automatic pairs generation for GPU PairLogitPairwise target