Gallery of examples#
Metadata
Draw a pipeline
ONNX Runtime Backend for ONNX
Logging, verbose
Probabilities or raw scores
Train, convert and predict a model
Train, convert and predict a model
Investigate a pipeline
Compare CDist with scipy
Convert a pipeline with a LightGbm model
Convert a pipeline with a LightGbm model
Probabilities as a vector or as a ZipMap
Probabilities as a vector or as a ZipMap
Convert a model with a reduced list of operators
Convert a model with a reduced list of operators
Benchmark a pipeline
Convert a pipeline with a XGBoost model
Convert a pipeline with a XGBoost model
Custom Operator for NMF Decomposition
Custom Operator for NMF Decomposition
Discrepencies with StandardScaler
Discrepencies with StandardScaler
Discrepencies with GaussianProcessorRegressor: use of double
Discrepencies with GaussianProcessorRegressor: use of double
Errors with onnxruntime
Play with ONNX operators
Different ways to convert a model
Different ways to convert a model
TfIdfVectorizer with ONNX
Convert a pipeline with ColumnTransformer
Convert a pipeline with ColumnTransformer
Walk through intermediate outputs
Walk through intermediate outputs
When a custom model is neither a classifier nor a regressor (alternative)
When a custom model is neither a classifier nor a regressor (alternative)
When a custom model is neither a classifier nor a regressor
When a custom model is neither a classifier nor a regressor
Write your own converter for your own model
Write your own converter for your own model