Fix typos and messages in docs (#1723)
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@ -19,7 +19,7 @@
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namespace xgboost {
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/*!
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* \brief Learner class that do trainig and prediction.
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* \brief Learner class that does training and prediction.
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* This is the user facing module of xgboost training.
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* The Load/Save function corresponds to the model used in python/R.
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* \code
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@ -173,7 +173,7 @@ class Learner : public rabit::Serializable {
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bst_float base_score_;
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/*! \brief objective function */
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std::unique_ptr<ObjFunction> obj_;
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/*! \brief The gradient boosted used by the model*/
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/*! \brief The gradient booster used by the model*/
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std::unique_ptr<GradientBooster> gbm_;
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/*! \brief The evaluation metrics used to evaluate the model. */
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std::vector<std::unique_ptr<Metric> > metrics_;
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@ -269,7 +269,7 @@ void CLIDump2Text(const CLIParam& param) {
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}
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// load model
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CHECK_NE(param.model_in, "NULL")
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<< "Must specifiy model_in for dump";
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<< "Must specify model_in for dump";
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std::unique_ptr<Learner> learner(Learner::Create({}));
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std::unique_ptr<dmlc::Stream> fi(
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dmlc::Stream::Create(param.model_in.c_str(), "r"));
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@ -296,7 +296,7 @@ void CLIPredict(const CLIParam& param) {
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DMatrix::Load(param.test_path, param.silent != 0, param.dsplit == 2));
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// load model
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CHECK_NE(param.model_in, "NULL")
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<< "Must specifiy model_in for dump";
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<< "Must specify model_in for predict";
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std::unique_ptr<Learner> learner(Learner::Create({}));
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std::unique_ptr<dmlc::Stream> fi(
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dmlc::Stream::Create(param.model_in.c_str(), "r"));
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