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onnx · Jul 4, 2022 · 631c91d · 631c91d
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diff --git a/auto_examples/plot_backend.html b/auto_examples/plot_backend.html
@@ -7,9 +7,9 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>ONNX Runtime Backend for ONNX &#8212; sklearn-onnx 1.11 documentation</title>
 
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diff --git a/auto_examples/plot_benchmark_cdist.html b/auto_examples/plot_benchmark_cdist.html
@@ -7,8 +7,9 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>Compare CDist with scipy &#8212; sklearn-onnx 1.11 documentation</title>
 
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diff --git a/auto_examples/plot_benchmark_pipeline.html b/auto_examples/plot_benchmark_pipeline.html
@@ -7,8 +7,9 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>Benchmark a pipeline &#8212; sklearn-onnx 1.11 documentation</title>
 
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diff --git a/auto_examples/plot_black_op.html b/auto_examples/plot_black_op.html
@@ -7,8 +7,9 @@
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     <title>Convert a model with a reduced list of operators &#8212; sklearn-onnx 1.11 documentation</title>
 
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diff --git a/auto_examples/plot_cast_transformer.html b/auto_examples/plot_cast_transformer.html
@@ -7,8 +7,9 @@
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     <title>Discrepencies with StandardScaler &#8212; sklearn-onnx 1.11 documentation</title>
 
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diff --git a/auto_examples/plot_complex_pipeline.html b/auto_examples/plot_complex_pipeline.html
@@ -7,8 +7,9 @@
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     <title>Convert a pipeline with ColumnTransformer &#8212; sklearn-onnx 1.11 documentation</title>
 
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diff --git a/auto_examples/plot_convert_decision_function.html b/auto_examples/plot_convert_decision_function.html
@@ -7,8 +7,9 @@
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     <title>Probabilities or raw scores &#8212; sklearn-onnx 1.11 documentation</title>
 
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diff --git a/auto_examples/plot_convert_model.html b/auto_examples/plot_convert_model.html
@@ -7,8 +7,9 @@
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     <title>Train, convert and predict a model &#8212; sklearn-onnx 1.11 documentation</title>
 
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diff --git a/auto_examples/plot_convert_syntax.html b/auto_examples/plot_convert_syntax.html
@@ -7,8 +7,10 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>Different ways to convert a model &#8212; sklearn-onnx 1.11 documentation</title>
 
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diff --git a/auto_examples/plot_convert_zipmap.html b/auto_examples/plot_convert_zipmap.html
@@ -7,8 +7,10 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>Probabilities as a vector or as a ZipMap &#8212; sklearn-onnx 1.11 documentation</title>
 
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diff --git a/auto_examples/plot_custom_model.html b/auto_examples/plot_custom_model.html
@@ -7,8 +7,9 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>Write your own converter for your own model &#8212; sklearn-onnx 1.11 documentation</title>
 
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diff --git a/auto_examples/plot_custom_parser.html b/auto_examples/plot_custom_parser.html
@@ -7,8 +7,10 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>When a custom model is neither a classifier nor a regressor &#8212; sklearn-onnx 1.11 documentation</title>
 
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diff --git a/auto_examples/plot_custom_parser_alternative.html b/auto_examples/plot_custom_parser_alternative.html
@@ -7,8 +7,9 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>When a custom model is neither a classifier nor a regressor (alternative) &#8212; sklearn-onnx 1.11 documentation</title>
 
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diff --git a/auto_examples/plot_errors_onnxruntime.html b/auto_examples/plot_errors_onnxruntime.html
@@ -7,8 +7,10 @@
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     <title>Errors with onnxruntime &#8212; sklearn-onnx 1.11 documentation</title>
 
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diff --git a/auto_examples/plot_gpr.html b/auto_examples/plot_gpr.html
@@ -7,8 +7,10 @@
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     <title>Discrepencies with GaussianProcessorRegressor: use of double &#8212; sklearn-onnx 1.11 documentation</title>
 
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diff --git a/auto_examples/plot_intermediate_outputs.html b/auto_examples/plot_intermediate_outputs.html
@@ -7,8 +7,10 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>Walk through intermediate outputs &#8212; sklearn-onnx 1.11 documentation</title>
 
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diff --git a/auto_examples/plot_investigate_pipeline.html b/auto_examples/plot_investigate_pipeline.html
@@ -7,8 +7,10 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>Investigate a pipeline &#8212; sklearn-onnx 1.11 documentation</title>
 
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diff --git a/auto_examples/plot_logging.html b/auto_examples/plot_logging.html
@@ -7,8 +7,10 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>Logging, verbose &#8212; sklearn-onnx 1.11 documentation</title>
 
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diff --git a/auto_examples/plot_nmf.html b/auto_examples/plot_nmf.html
@@ -7,8 +7,10 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>Custom Operator for NMF Decomposition &#8212; sklearn-onnx 1.11 documentation</title>
 
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diff --git a/auto_examples/plot_onnx_operators.html b/auto_examples/plot_onnx_operators.html
@@ -7,8 +7,10 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>Play with ONNX operators &#8212; sklearn-onnx 1.11 documentation</title>
 
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diff --git a/auto_examples/plot_pipeline.html b/auto_examples/plot_pipeline.html
@@ -7,8 +7,10 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>Draw a pipeline &#8212; sklearn-onnx 1.11 documentation</title>
 
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diff --git a/auto_examples/plot_pipeline_lightgbm.html b/auto_examples/plot_pipeline_lightgbm.html
@@ -7,8 +7,10 @@
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>Convert a pipeline with a LightGbm model &#8212; sklearn-onnx 1.11 documentation</title>
 
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diff --git a/auto_examples/plot_pipeline_xgboost.html b/auto_examples/plot_pipeline_xgboost.html
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     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>Convert a pipeline with a XGBoost model &#8212; sklearn-onnx 1.11 documentation</title>
 
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diff --git a/auto_examples/plot_tfidfvectorizer.html b/auto_examples/plot_tfidfvectorizer.html
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     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>TfIdfVectorizer with ONNX &#8212; sklearn-onnx 1.11 documentation</title>
 
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diff --git a/auto_examples/sg_execution_times.html b/auto_examples/sg_execution_times.html
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     <title>Computation times &#8212; sklearn-onnx 1.11 documentation</title>
 
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