Ctrl
+
K
Site Navigation
Comparing implementations
Comparing modules
ONNX benchmarks
Technical details, installation
scikit-learn benchmarks
More
Glossary
Site Navigation
Comparing implementations
Comparing modules
ONNX benchmarks
Technical details, installation
scikit-learn benchmarks
More
Glossary
Section Navigation
Benchmark (ONNX) for common datasets (classification)
Benchmark (ONNX) for common datasets (regression)
Benchmark (ONNX) for common datasets (regression) with k-NN
Benchmark (ONNX) for ensemble models
Benchmark (ONNX) for LogisticRegression
Benchmark (ONNX) for DecisionTreeClassifier
Benchmark (ONNX) for DecisionTreeRegressor
Benchmark (ONNX) for GradientBoostingRegressor
Benchmark (ONNX) for GaussianProcessRegressor
Benchmark (ONNX) for HistBoostingGradientRegressor
Benchmark (ONNX) for KNeighborsClassifier
Benchmark (ONNX) for RandomForestClassifier
Benchmark (ONNX) for MLPClassifier
Benchmark (ONNX) for sklearn-onnx unit tests
Benchmark (ONNX) for Addition
Benchmark (ONNX) for Scaler
Benchmark (ONNX) for intermediate outputs of a MLPClassifier
Image of the test MLPClassifier
Benchmark (ONNX) for ReduceSum
Profiling predictions functions
Profiling RandomForestRegressor
Profiling LinearRegression
Image of the test MLPClassifier
#
Show Source
