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Commit 2051223b authored by guolinke's avatar guolinke
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better naming

parent 77d92b7c
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Showing with 17 additions and 17 deletions
src/treelearner/feature_histogram.hpp
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......@@ -149,11 +149,11 @@ class FeatureHistogram {
double min_gain_shift =
BeforeNumercal<USE_RAND, USE_L1, USE_MAX_OUTPUT>(
sum_gradient, sum_hessian, output, &rand_threshold);
FindBestThresholdSequence<USE_RAND, USE_MC, USE_L1,
FindBestThresholdSequentially<USE_RAND, USE_MC, USE_L1,
USE_MAX_OUTPUT, true, true, false>(
sum_gradient, sum_hessian, num_data, constraints,
min_gain_shift, output, rand_threshold);
FindBestThresholdSequence<USE_RAND, USE_MC, USE_L1,
FindBestThresholdSequentially<USE_RAND, USE_MC, USE_L1,
USE_MAX_OUTPUT, false, true, false>(
sum_gradient, sum_hessian, num_data, constraints,
min_gain_shift, output, rand_threshold);
......@@ -166,11 +166,11 @@ class FeatureHistogram {
double min_gain_shift =
BeforeNumercal<USE_RAND, USE_L1, USE_MAX_OUTPUT>(
sum_gradient, sum_hessian, output, &rand_threshold);
FindBestThresholdSequence<USE_RAND, USE_MC, USE_L1,
FindBestThresholdSequentially<USE_RAND, USE_MC, USE_L1,
USE_MAX_OUTPUT, true, false, true>(
sum_gradient, sum_hessian, num_data, constraints,
min_gain_shift, output, rand_threshold);
FindBestThresholdSequence<USE_RAND, USE_MC, USE_L1,
FindBestThresholdSequentially<USE_RAND, USE_MC, USE_L1,
USE_MAX_OUTPUT, false, false, true>(
sum_gradient, sum_hessian, num_data, constraints,
min_gain_shift, output, rand_threshold);
......@@ -185,7 +185,7 @@ class FeatureHistogram {
double min_gain_shift =
BeforeNumercal<USE_RAND, USE_L1, USE_MAX_OUTPUT>(
sum_gradient, sum_hessian, output, &rand_threshold);
FindBestThresholdSequence<USE_RAND, USE_MC, USE_L1,
FindBestThresholdSequentially<USE_RAND, USE_MC, USE_L1,
USE_MAX_OUTPUT, true, false, false>(
sum_gradient, sum_hessian, num_data, constraints,
min_gain_shift, output, rand_threshold);
......@@ -198,7 +198,7 @@ class FeatureHistogram {
double min_gain_shift =
BeforeNumercal<USE_RAND, USE_L1, USE_MAX_OUTPUT>(
sum_gradient, sum_hessian, output, &rand_threshold);
FindBestThresholdSequence<USE_RAND, USE_MC, USE_L1,
FindBestThresholdSequentially<USE_RAND, USE_MC, USE_L1,
USE_MAX_OUTPUT, true, false, false>(
sum_gradient, sum_hessian, num_data, constraints,
min_gain_shift, output, rand_threshold);
......@@ -769,7 +769,7 @@ class FeatureHistogram {
template <bool USE_RAND, bool USE_MC, bool USE_L1, bool USE_MAX_OUTPUT,
bool REVERSE, bool SKIP_DEFAULT_BIN, bool NA_AS_MISSING>
void FindBestThresholdSequence(double sum_gradient, double sum_hessian,
void FindBestThresholdSequentially(double sum_gradient, double sum_hessian,
data_size_t num_data,
const ConstraintEntry& constraints,
double min_gain_shift, SplitInfo* output,
......
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