@@ -94,7 +94,7 @@ struct LearnerTrainParam
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.add_enum("auto", 0)
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.add_enum("col", 1)
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.add_enum("row", 2)
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.describe("Data split mode for distributed trainig. ");
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.describe("Data split mode for distributed training.");
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DMLC_DECLARE_FIELD(tree_method).set_default(0)
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.add_enum("auto", 0)
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.add_enum("approx", 1)
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@@ -137,10 +137,10 @@ struct TrainParam : public dmlc::Parameter<TrainParam> {
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DMLC_DECLARE_FIELD(cache_opt).set_default(true).describe(
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"EXP Param: Cache aware optimization.");
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DMLC_DECLARE_FIELD(silent).set_default(false).describe(
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"Do not print information during trainig.");
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"Do not print information during training.");
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DMLC_DECLARE_FIELD(monotone_constraints)
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.set_default(std::vector<int>())
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.describe("Constraint of variable monotinicity");
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.describe("Constraint of variable monotonicity");
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// add alias of parameters
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DMLC_DECLARE_ALIAS(reg_lambda, lambda);
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DMLC_DECLARE_ALIAS(reg_alpha, alpha);
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||||
|
||||
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