Remove unnecessary warning when 'gblinear' is selected (#3888)
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@ -187,8 +187,14 @@ class LearnerImpl : public Learner {
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#endif
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#endif
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}
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}
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/*! \brief Map `tree_method` parameter to `updater` parameter */
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void ConfigureUpdaters() {
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void ConfigureUpdaters() {
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/* Choose updaters according to tree_method parameters */
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// This method is not applicable to non-tree learners
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if (cfg_.count("booster") > 0 && cfg_.at("booster") != "gbtree") {
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return;
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}
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// `updater` parameter was manually specified
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if (cfg_.count("updater") > 0) {
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if (cfg_.count("updater") > 0) {
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LOG(CONSOLE) << "DANGER AHEAD: You have manually specified `updater` "
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LOG(CONSOLE) << "DANGER AHEAD: You have manually specified `updater` "
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"parameter. The `tree_method` parameter will be ignored. "
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"parameter. The `tree_method` parameter will be ignored. "
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@ -198,6 +204,7 @@ class LearnerImpl : public Learner {
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return;
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return;
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}
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}
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/* Choose updaters according to tree_method parameters */
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switch (tparam_.tree_method) {
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switch (tparam_.tree_method) {
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case TreeMethod::kAuto:
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case TreeMethod::kAuto:
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// Use heuristic to choose between 'exact' and 'approx'
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// Use heuristic to choose between 'exact' and 'approx'
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@ -276,8 +283,6 @@ class LearnerImpl : public Learner {
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cfg_["max_delta_step"] = kMaxDeltaStepDefaultValue;
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cfg_["max_delta_step"] = kMaxDeltaStepDefaultValue;
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}
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}
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ConfigureUpdaters();
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if (cfg_.count("objective") == 0) {
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if (cfg_.count("objective") == 0) {
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cfg_["objective"] = "reg:linear";
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cfg_["objective"] = "reg:linear";
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}
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}
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@ -285,6 +290,8 @@ class LearnerImpl : public Learner {
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cfg_["booster"] = "gbtree";
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cfg_["booster"] = "gbtree";
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}
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}
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ConfigureUpdaters();
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if (!this->ModelInitialized()) {
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if (!this->ModelInitialized()) {
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mparam_.InitAllowUnknown(args);
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mparam_.InitAllowUnknown(args);
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name_obj_ = cfg_["objective"];
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name_obj_ = cfg_["objective"];
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