[jvm-packages]add feature size for LabelPoint and DataBatch (#5303)
* fix type error * Validate number of features. * resolve comments * add feature size for LabelPoint and DataBatch * pass the feature size to native * move feature size validating tests into a separate suite * resolve comments Co-authored-by: fis <jm.yuan@outlook.com>
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@@ -1063,19 +1063,9 @@ class LearnerImpl : public LearnerIO {
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return tparam_.dsplit == DataSplitMode::kRow ||
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tparam_.dsplit == DataSplitMode::kAuto;
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};
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bool const valid_features =
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!row_based_split() ||
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(learner_model_param_.num_feature == p_fmat->Info().num_col_);
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std::string const msg {
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"Number of columns does not match number of features in booster."
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};
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if (generic_parameters_.validate_features) {
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CHECK_EQ(learner_model_param_.num_feature, p_fmat->Info().num_col_) << msg;
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} else if (!valid_features) {
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// Remove this and make the equality check fatal once spark can fix all failing tests.
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LOG(WARNING) << msg << " "
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<< "Columns: " << p_fmat->Info().num_col_ << " "
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<< "Features: " << learner_model_param_.num_feature;
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if (row_based_split()) {
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CHECK_EQ(learner_model_param_.num_feature, p_fmat->Info().num_col_)
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<< "Number of columns does not match number of features in booster.";
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}
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}
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