commit
cd16a3b124
@ -19,3 +19,4 @@ xgboost-unity
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* Experimental version of LambdaRank
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* Experimental version of LambdaRank
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* Linear booster is now parallelized, using parallel coordinated descent.
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* Linear booster is now parallelized, using parallel coordinated descent.
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* Add [Code Guide](src/README.md) for customizing objective function and evaluation
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* Add [Code Guide](src/README.md) for customizing objective function and evaluation
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* Add R module
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@ -43,7 +43,6 @@ inline IEvaluator* CreateEvaluator(const char *name) {
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if (!strncmp(name, "ams@", 4)) return new EvalAMS(name);
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if (!strncmp(name, "ams@", 4)) return new EvalAMS(name);
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if (!strncmp(name, "pre@", 4)) return new EvalPrecision(name);
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if (!strncmp(name, "pre@", 4)) return new EvalPrecision(name);
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if (!strncmp(name, "pratio@", 7)) return new EvalPrecisionRatio(name);
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if (!strncmp(name, "pratio@", 7)) return new EvalPrecisionRatio(name);
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if (!strncmp(name, "apratio@", 8)) return new EvalPrecisionRatio(name);
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if (!strncmp(name, "map", 3)) return new EvalMAP(name);
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if (!strncmp(name, "map", 3)) return new EvalMAP(name);
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if (!strncmp(name, "ndcg", 3)) return new EvalNDCG(name);
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if (!strncmp(name, "ndcg", 3)) return new EvalNDCG(name);
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utils::Error("unknown evaluation metric type: %s", name);
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utils::Error("unknown evaluation metric type: %s", name);
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