Remove unnecessary options for Regressor

.github/workflows/linux-ci.yml

@@ -9,6 +9,13 @@ jobs:
         os: [ubuntu-latest]
         sklearn_version: ['==1.5.0', '==1.4.2', '==1.3.2', '==1.2.2', '==1.1.3']
         include:
+          - sklearn_version: '==1.5.0'
+            documentation: 1
+            numpy_version: '>=1.21.1,<2.0'
+            scipy_version: '>=1.7.0'
+            onnx_version: 'onnx>=1.16.0'
+            onnxrt_version: 'onnxruntime>=1.19.0'
+            python_version: '3.11'
           - sklearn_version: '==1.5.0'
             documentation: 0
             numpy_version: '>=1.21.1,<2.0'
@@ -24,7 +31,7 @@ jobs:
             onnxrt_version: 'onnxruntime==1.18.1'
             sklearn_version: '==1.4.2'
           - python_version: '3.11'
-            documentation: 1
+            documentation: 0
             numpy_version: '>=1.21.1,<2.0'
             scipy_version: '>=1.7.0'
             onnx_version: 'onnx<1.16.0'

.gitignore

@@ -24,6 +24,7 @@ build/
 
 # test generated files
 *.onnx
+*.dot*
 *.whl
 .pytest_cache
 .cache

docs/examples/plot_convert_syntax.py

@@ -188,15 +188,22 @@ def to_onnx_operator(
 
 from onnx.tools.net_drawer import GetPydotGraph, GetOpNodeProducer
 
-pydot_graph = GetPydotGraph(
-    onx.graph,
-    name=onx.graph.name,
-    rankdir="TB",
-    node_producer=GetOpNodeProducer(
-        "docstring", color="yellow", fillcolor="yellow", style="filled"
-    ),
-)
-pydot_graph.write_dot("pipeline_onnx_mixin.dot")
+try:
+    pydot_graph = GetPydotGraph(
+        onx.graph,
+        name=onx.graph.name,
+        rankdir="TB",
+        node_producer=GetOpNodeProducer(
+            "docstring", color="yellow", fillcolor="yellow", style="filled"
+        ),
+    )
+    pydot_graph.write_dot("pipeline_onnx_mixin.dot")
+except AssertionError:
+    print("GetPydotGraph failed to produce a valid DOT graph. Trying something else.")
+    from onnx_array_api.plotting.dot_plot import to_dot
+
+    with open("pipeline_onnx_mixin.dot", "w", encoding="utf-8") as f:
+        f.write(to_dot(onx))
 
 import os
 

docs/requirements.txt

@@ -11,6 +11,7 @@ matplotlib
 mlinsights>=0.3.631
 nbsphinx
 onnx
+onnx-array-api
 onnxmltools
 onnxruntime
 pillow

skl2onnx/operator_converters/random_forest.py

@@ -681,10 +681,5 @@ def convert_sklearn_random_forest_regressor_converter(
 register_converter(
     "SklearnHistGradientBoostingRegressor",
     convert_sklearn_random_forest_regressor_converter,
-    options={
-        "zipmap": [True, False, "columns"],
-        "raw_scores": [True, False],
-        "output_class_labels": [False, True],
-        "nocl": [True, False],
-    },
+    options={"raw_scores": [True, False]},
 )