yiiwood / decisiontrees Public

forked from ajtulloch/decisiontrees

High performance implementations of gradient boosting, random forests, etc. in Go

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Name		Name	Last commit message	Last commit date
Latest commit History 48 Commits
census-income		census-income
compile-decision-tree		compile-decision-tree
decision_tree_trainer		decision_tree_trainer
mongotrainer		mongotrainer
protobufs		protobufs
ui		ui
.arcconfig		.arcconfig
.gitignore		.gitignore
LICENSE		LICENSE
Makefile		Makefile
README.md		README.md
boosting.go		boosting.go
cross_validation.go		cross_validation.go
cross_validation_test.go		cross_validation_test.go
evaluation_metrics.go		evaluation_metrics.go
evaluation_metrics_test.go		evaluation_metrics_test.go
evaluator.go		evaluator.go
evaluator_test.go		evaluator_test.go
examples.go		examples.go
feature_selector.go		feature_selector.go
forest_generator.go		forest_generator.go
loss_function.go		loss_function.go
loss_function_test.go		loss_function_test.go
pruning.go		pruning.go
random_forest.go		random_forest.go
regression_splitter.go		regression_splitter.go
regression_splitter_test.go		regression_splitter_test.go
splitter.go		splitter.go
test_flags.go		test_flags.go