Use bst_float consistently throughout (#1824)
* Fix various typos * Add override to functions that are overridden gcc gives warnings about functions that are being overridden by not being marked as oveirridden. This fixes it. * Use bst_float consistently Use bst_float for all the variables that involve weight, leaf value, gradient, hessian, gain, loss_chg, predictions, base_margin, feature values. In some cases, when due to additions and so on the value can take a larger value, double is used. This ensures that type conversions are minimal and reduces loss of precision.
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@@ -28,7 +28,7 @@ class DensifyParser : public dmlc::Parser<IndexType> {
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LOG(INFO) << batch.size;
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dense_index_.resize(num_col_ * batch.size);
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dense_value_.resize(num_col_ * batch.size);
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std::fill(dense_value_.begin(), dense_value_.end(), 0.0f);
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std::fill(dense_value_.begin(), dense_value_.end(), 0.0);
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offset_.resize(batch.size + 1);
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offset_[0] = 0;
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@@ -66,7 +66,7 @@ class DensifyParser : public dmlc::Parser<IndexType> {
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uint32_t num_col_;
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std::vector<size_t> offset_;
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std::vector<IndexType> dense_index_;
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std::vector<float> dense_value_;
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std::vector<xgboost::bst_float> dense_value_;
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};
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template<typename IndexType>
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