Scikit-learn Gallery

Examples about converting scikit-learn estimators and pipelines to ONNX.

Converting a scikit-learn KMeans to ONNX

Converting a scikit-learn KMeans to ONNX

Converting a scikit-learn Pipeline to ONNX

Converting a scikit-learn Pipeline to ONNX

Converting a scikit-learn model to ONNX with spox

Converting a scikit-learn model to ONNX with spox

Converting sksurv IPCRidge to ONNX

Converting sksurv IPCRidge to ONNX

Custom converter with convert options

Custom converter with convert options

DataFrame input to a Pipeline with ColumnTransformer

DataFrame input to a Pipeline with ColumnTransformer

Exporting FunctionTransformer with numpy tracing

Exporting FunctionTransformer with numpy tracing

Exporting sklearn estimators as ONNX local functions

Exporting sklearn estimators as ONNX local functions

Exporting sklearn tree models with convert options

Exporting sklearn tree models with convert options

Float32 vs Float64: precision loss with PLSRegression

Float32 vs Float64: precision loss with PLSRegression

KNeighbors: choosing between CDist and standard ONNX

KNeighbors: choosing between CDist and standard ONNX

Using sklearn-onnx to convert any scikit-learn estimator

Using sklearn-onnx to convert any scikit-learn estimator