diff --git a/_doc/examples/plot_time_tree_ensemble.py b/_doc/examples/plot_time_tree_ensemble.py
index 77d55d57c..1b1d5e2a9 100644
--- a/_doc/examples/plot_time_tree_ensemble.py
+++ b/_doc/examples/plot_time_tree_ensemble.py
@@ -34,7 +34,6 @@
 from xgboost import XGBClassifier
 from lightgbm import LGBMClassifier
 from onnxruntime import InferenceSession
-from sklearn.experimental import enable_hist_gradient_boosting  # pylint: disable=W0611
 from sklearn.ensemble import HistGradientBoostingClassifier
 from sklearn.ensemble import RandomForestClassifier
 from sklearn.datasets import make_classification
diff --git a/_doc/sphinxdoc/source/_exts/generate_automated_pages.py b/_doc/sphinxdoc/source/_exts/generate_automated_pages.py
index c57620407..ec7178864 100644
--- a/_doc/sphinxdoc/source/_exts/generate_automated_pages.py
+++ b/_doc/sphinxdoc/source/_exts/generate_automated_pages.py
@@ -7,7 +7,6 @@
 from pandas import DataFrame, read_excel, read_csv, concat, Series
 from sklearn.exceptions import ConvergenceWarning
 from sklearn.utils._testing import ignore_warnings
-from sklearn.experimental import enable_hist_gradient_boosting  # pylint: disable=W0611
 from sklearn.ensemble import AdaBoostRegressor, HistGradientBoostingRegressor
 from sklearn.gaussian_process import GaussianProcessClassifier
 import sphinx
diff --git a/_doc/sphinxdoc/source/conf.py b/_doc/sphinxdoc/source/conf.py
index 0e2a562f5..f467914c6 100644
--- a/_doc/sphinxdoc/source/conf.py
+++ b/_doc/sphinxdoc/source/conf.py
@@ -3,7 +3,6 @@
 import os
 import alabaster
 from pyquickhelper.helpgen.default_conf import set_sphinx_variables
-from sklearn.experimental import enable_hist_gradient_boosting  # pylint: disable=W0611
 try:
     from mlprodict.onnx_conv import register_converters, register_rewritten_operators
 except ImportError as e:
diff --git a/_unittests/ut__skl2onnx/test_sklearn_label_encoder_converter.py b/_unittests/ut__skl2onnx/test_sklearn_label_encoder_converter.py
index 558ee0399..24f9cda8a 100644
--- a/_unittests/ut__skl2onnx/test_sklearn_label_encoder_converter.py
+++ b/_unittests/ut__skl2onnx/test_sklearn_label_encoder_converter.py
@@ -51,7 +51,7 @@ def test_model_label_encoder_int(self):
         data = numpy.array([10, 3, 5, -34, 0], dtype=numpy.int64)
         model.fit(data)
         # opset=13, 14, ...
-        for op in sorted(set([9, 10, 11, 12, 13, 14, TARGET_OPSET])):
+        for op in sorted(set([9, 10, 11, 12, 13, 14, 15, TARGET_OPSET])):
             if op > TARGET_OPSET:
                 continue
             with self.subTest(opset=op):
diff --git a/_unittests/ut_asv_benchmark/test_template_benchmark.py b/_unittests/ut_asv_benchmark/test_template_asv_benchmark.py
similarity index 100%
rename from _unittests/ut_asv_benchmark/test_template_benchmark.py
rename to _unittests/ut_asv_benchmark/test_template_asv_benchmark.py
diff --git a/_unittests/ut_npy/test_wrappers.py b/_unittests/ut_npy/test_wrappers.py
index 76bebbeb7..4a53e0985 100644
--- a/_unittests/ut_npy/test_wrappers.py
+++ b/_unittests/ut_npy/test_wrappers.py
@@ -28,7 +28,7 @@ def __init__(self, operator, inputs, outputs):
 
 class container_dummy:
     def __init__(self):
-        self.target_opset = 14
+        self.target_opset = 15
 
 
 class TestWrappers(ExtTestCase):
diff --git a/_unittests/ut_onnx_conv/test_onnx_conv_knn.py b/_unittests/ut_onnx_conv/test_onnx_conv_knn.py
index 02d449cde..aaad62155 100644
--- a/_unittests/ut_onnx_conv/test_onnx_conv_knn.py
+++ b/_unittests/ut_onnx_conv/test_onnx_conv_knn.py
@@ -244,7 +244,7 @@ def onnx_test_knn_single_classreg(self, dtype, n_targets=1, debug=False,
 
         if target_opset is None:
             opsets = list(sorted(set([
-                9, 10, 11, 12, 13, 14, get_opset_number_from_onnx()])))  # opset=13, 14, ...
+                9, 10, 11, 12, 13, 14, 15, get_opset_number_from_onnx()])))  # opset=13, 14, ...
         else:
             opsets = [target_opset]
         for ops in opsets:
@@ -475,7 +475,7 @@ def test_onnx_test_knn_transform(self):
         clr = NearestNeighbors(n_neighbors=3)
         clr.fit(X_train)
 
-        for to in (10, 11, 12, 13, 14):  # opset=13, 14, ...
+        for to in (10, 11, 12, 13, 14, 15):  # opset=13, 14, ...
             if to > get_opset_number_from_onnx():
                 break
             try:
diff --git a/_unittests/ut_onnx_conv/test_skl2onnx_ensemble.py b/_unittests/ut_onnx_conv/test_skl2onnx_ensemble.py
index ff3f3dccf..d86fcc0fe 100644
--- a/_unittests/ut_onnx_conv/test_skl2onnx_ensemble.py
+++ b/_unittests/ut_onnx_conv/test_skl2onnx_ensemble.py
@@ -12,7 +12,6 @@
     ExtraTreesClassifier, ExtraTreesRegressor
 )
 try:
-    from sklearn.experimental import enable_hist_gradient_boosting  # pylint: disable=W0611
     from sklearn.ensemble import (
         HistGradientBoostingClassifier,
         HistGradientBoostingRegressor
diff --git a/_unittests/ut_onnxrt/test_benchmark_replay.py b/_unittests/ut_onnxrt/test_benchmark_replay.py
index 6b87de6dc..ad1cdcae2 100644
--- a/_unittests/ut_onnxrt/test_benchmark_replay.py
+++ b/_unittests/ut_onnxrt/test_benchmark_replay.py
@@ -19,8 +19,8 @@ def test_benchmark_replay(self):
             FileNotFoundError)
         res = list(enumerate_validated_operator_opsets(
             # opset=13, 14, ...
-            0, fLOG=None, models={"LogisticRegression"}, opset_min=14,
-            opset_max=14, benchmark=False, store_models=True, dump_all=True,
+            0, fLOG=None, models={"LogisticRegression"}, opset_min=15,
+            opset_max=15, benchmark=False, store_models=True, dump_all=True,
             dump_folder=temp, filter_exp=lambda m, p: (
                 "64" not in p and "b-cl" in p and "dec" not in p)))
         self.assertNotEmpty(res)
diff --git a/_unittests/ut_onnxrt/test_onnx_profiling.py b/_unittests/ut_onnxrt/test_onnx_profiling.py
index 933aa0fb6..75825d7a0 100644
--- a/_unittests/ut_onnxrt/test_onnx_profiling.py
+++ b/_unittests/ut_onnxrt/test_onnx_profiling.py
@@ -41,7 +41,7 @@ def test_profile_onnxruntime1(self):
         del model_def.opset_import[:]  # pylint: disable=E1101
         op_set = model_def.opset_import.add()  # pylint: disable=E1101
         op_set.domain = ''
-        op_set.version = 14  # opset=13, 14, ...
+        op_set.version = 15  # opset=13, 14, ...
 
         X = (numpy.random.randn(4, 2) * 100000).astype(  # pylint: disable=E1101
             numpy.float32)
diff --git a/_unittests/ut_onnxrt/test_onnxrt_python_runtime_.py b/_unittests/ut_onnxrt/test_onnxrt_python_runtime_.py
index 1763f6c36..5a92db3d4 100644
--- a/_unittests/ut_onnxrt/test_onnxrt_python_runtime_.py
+++ b/_unittests/ut_onnxrt/test_onnxrt_python_runtime_.py
@@ -3204,7 +3204,7 @@ def test_onnxt_runtime_reduce_sum(self):
         X = numpy.array([[2, 1], [0, 1]], dtype=float)
 
         # opset=13, 14, ...
-        for opset in (10, 11, 12, 13, 14, get_opset_number_from_onnx()):
+        for opset in (10, 11, 12, 13, 14, 15, get_opset_number_from_onnx()):
             if onnx_opset_version() < opset:
                 continue
             if opset < 13:
@@ -3314,7 +3314,7 @@ def test_onnxt_runtime_reduce_sum_noop(self):
         X = numpy.array([], dtype=float).reshape((2, 0))
 
         # opset=13, 14, ...
-        for opset in (13, 14, get_opset_number_from_onnx()):
+        for opset in (13, 14, 15, get_opset_number_from_onnx()):
             if onnx_opset_version() < opset:
                 continue
 
@@ -3572,7 +3572,7 @@ def test_onnxt_runtime_slice(self):
     @wraplog()
     def test_onnxt_runtime_slice_step_none(self):
         # opset=13, 14, ...
-        for opset in [13, 14, get_opset_number_from_onnx()]:
+        for opset in [13, 14, 15, get_opset_number_from_onnx()]:
             if opset > get_opset_number_from_onnx():
                 continue
             with self.subTest(opset=opset):
@@ -3593,7 +3593,7 @@ def test_onnxt_runtime_slice_step_none(self):
     @wraplog()
     def test_onnxt_runtime_split(self):
         # opset=13, 14, ...
-        for opset in [10, 11, 12, 13, 14, get_opset_number_from_onnx()]:
+        for opset in [10, 11, 12, 13, 14, 15, get_opset_number_from_onnx()]:
             if opset > get_opset_number_from_onnx():
                 continue
             with self.subTest(opset=opset):
@@ -3645,7 +3645,7 @@ def test_onnxt_runtime_sqrt(self):
     @wraplog()
     def test_onnxt_runtime_squeeze(self):
         # opset=13, 14, ...
-        for opset in [10, 11, 12, 13, 14, get_opset_number_from_onnx()]:
+        for opset in [10, 11, 12, 13, 14, 15, get_opset_number_from_onnx()]:
             if opset > get_opset_number_from_onnx():
                 continue
             with self.subTest(opset=opset):
@@ -3838,7 +3838,7 @@ def test_onnxt_runtime_transpose(self):
     @wraplog()
     def test_onnxt_runtime_unsqueeze(self):
         # opset=13, 14, ...
-        for opset in [10, 11, 12, 13, 14, get_opset_number_from_onnx()]:
+        for opset in [10, 11, 12, 13, 14, 15, get_opset_number_from_onnx()]:
             if opset > get_opset_number_from_onnx():
                 continue
             with self.subTest(opset=opset):
@@ -4187,7 +4187,8 @@ def test_make_constant(self):
             (11, OnnxConstant_11),
             (9, OnnxConstant_9)]
 
-        expected_type = {14: Constant_12, 12: Constant_12, 13: Constant_12,
+        expected_type = {15: Constant_12, 14: Constant_12,
+                         12: Constant_12, 13: Constant_12,
                          11: Constant_11, 9: Constant_9}
 
         if (not sys.platform.startswith('win') or
@@ -4227,7 +4228,7 @@ def test_make_constant(self):
                     self.assertEqualArray(exp, got['Ad_C0'])
 
     def test_op_constant(self):
-        for opv in [9, 10, 11, 12, 13, 14]:  # opset=13, 14, ...
+        for opv in [9, 10, 11, 12, 13, 14, 15]:  # opset=13, 14, ...
             for dtype in [numpy.float32, numpy.float64,
                           numpy.int32, numpy.int64]:
                 with self.subTest(opv=opv, dtype=dtype):
diff --git a/_unittests/ut_onnxrt/test_onnxrt_python_runtime_control_loop.py b/_unittests/ut_onnxrt/test_onnxrt_python_runtime_control_loop.py
index bd5ef2222..f42295a57 100644
--- a/_unittests/ut_onnxrt/test_onnxrt_python_runtime_control_loop.py
+++ b/_unittests/ut_onnxrt/test_onnxrt_python_runtime_control_loop.py
@@ -62,8 +62,8 @@ def expect(node, inputs, outputs, name):
             del model_def.opset_import[:]  # pylint: disable=E1101
             op_set = model_def.opset_import.add()  # pylint: disable=E1101
             op_set.domain = ''
-            op_set.version = 14
-            model_def.ir_version = 7
+            op_set.version = 15
+            model_def.ir_version = 8
 
         test_cases = {
             'at_back': [numpy.array([10, 11, 12]).astype(numpy.int64)],
@@ -191,8 +191,8 @@ def test_loop(self):
         del model_def.opset_import[:]  # pylint: disable=E1101
         op_set = model_def.opset_import.add()  # pylint: disable=E1101
         op_set.domain = ''
-        op_set.version = 14
-        model_def.ir_version = 7
+        op_set.version = 15
+        model_def.ir_version = 8
 
         expected = numpy.array([
             1., 1., 2., 1., 2., 3., 1., 2.,
@@ -307,8 +307,8 @@ def test_loop_additional_input(self):
         del model_def.opset_import[:]  # pylint: disable=E1101
         op_set = model_def.opset_import.add()  # pylint: disable=E1101
         op_set.domain = ''
-        op_set.version = 14
-        model_def.ir_version = 7
+        op_set.version = 15
+        model_def.ir_version = 8
 
         expected = numpy.array([
             1., 1., 2., 1., 2., 3., 1., 2.,
diff --git a/_unittests/ut_onnxrt/test_onnxrt_python_runtime_ml_tree_rf.py b/_unittests/ut_onnxrt/test_onnxrt_python_runtime_ml_tree_rf.py
index 0b6a136a6..a84a88b2c 100644
--- a/_unittests/ut_onnxrt/test_onnxrt_python_runtime_ml_tree_rf.py
+++ b/_unittests/ut_onnxrt/test_onnxrt_python_runtime_ml_tree_rf.py
@@ -10,7 +10,6 @@
     from sklearn.utils._testing import ignore_warnings
 except ImportError:
     from sklearn.utils.testing import ignore_warnings
-from sklearn.experimental import enable_hist_gradient_boosting  # pylint: disable=W0611
 from sklearn.ensemble import RandomForestRegressor, HistGradientBoostingRegressor
 from pyquickhelper.loghelper import fLOG
 from pyquickhelper.pycode import (
diff --git a/_unittests/ut_onnxrt/test_onnxrt_switch_types.py b/_unittests/ut_onnxrt/test_onnxrt_switch_types.py
index fd580b39f..28f201862 100644
--- a/_unittests/ut_onnxrt/test_onnxrt_switch_types.py
+++ b/_unittests/ut_onnxrt/test_onnxrt_switch_types.py
@@ -107,7 +107,7 @@ def test_onnxt_iris_gaussian_process_exp_sine_squared_13(self):
         model_def = to_onnx(
             clr, X_train.astype(numpy.float32),
             options={GaussianProcessRegressor: {'return_std': True}},
-            target_opset=14)  # opset=13, 14, ...
+            target_opset=15)  # opset=13, 14, ...
         oinf = OnnxInference(model_def, runtime='python')
 
         res = oinf.run({'X': X_test.astype(numpy.float32)})
diff --git a/_unittests/ut_testing/test_skl2onnx_testing_check.py b/_unittests/ut_testing/test_skl2onnx_testing_check.py
index dec89e37b..46b454922 100644
--- a/_unittests/ut_testing/test_skl2onnx_testing_check.py
+++ b/_unittests/ut_testing/test_skl2onnx_testing_check.py
@@ -8,7 +8,6 @@
 from sklearn.datasets import make_classification
 from sklearn.model_selection import train_test_split
 try:
-    from sklearn.experimental import enable_hist_gradient_boosting  # pylint: disable=W0611
     from sklearn.ensemble import HistGradientBoostingClassifier
 except ImportError:
     HistGradientBoostingClassifier = None
diff --git a/_unittests/ut_tools/test_model_info.py b/_unittests/ut_tools/test_model_info.py
index d61c06e8f..4aec64dc4 100644
--- a/_unittests/ut_tools/test_model_info.py
+++ b/_unittests/ut_tools/test_model_info.py
@@ -5,7 +5,6 @@
 import inspect
 import unittest
 import numpy
-from sklearn.experimental import enable_hist_gradient_boosting  # pylint: disable=W0611
 from sklearn.datasets import load_iris
 from sklearn.linear_model import LogisticRegression, LinearRegression
 from sklearn.neighbors import KNeighborsClassifier
diff --git a/_unittests/ut_tools/test_onnx_micro_runtime.py b/_unittests/ut_tools/test_onnx_micro_runtime.py
index b29ef15cf..8fa35daa3 100644
--- a/_unittests/ut_tools/test_onnx_micro_runtime.py
+++ b/_unittests/ut_tools/test_onnx_micro_runtime.py
@@ -12,8 +12,10 @@
 
 class TestOnnxMicroRuntime(ExtTestCase):
 
+    opset = 15  # opset=13, 14, ...
+
     def test_onnx_micro_runtime(self):
-        opset = 14  # opset=13, 14, ...
+        opset = TestOnnxMicroRuntime.opset
         dtype = numpy.float32
         x = numpy.array([1, 2, 4, 5, 5, 4]).astype(
             numpy.float32).reshape((3, 2))
@@ -32,7 +34,7 @@ def test_onnx_micro_runtime_exc1(self):
         self.assertRaise(lambda: OnnxMicroRuntime(None), TypeError)
 
     def test_onnx_micro_runtime_exc2(self):
-        opset = 14  # opset=13, 14, ...
+        opset = TestOnnxMicroRuntime.opset
         dtype = numpy.float32
         x = numpy.array([1, 2, 4, 5, 5, 4]).astype(
             numpy.float32).reshape((3, 2))
@@ -45,7 +47,7 @@ def test_onnx_micro_runtime_exc2(self):
         self.assertRaise(lambda: rt.run(x), TypeError)
 
     def test_onnx_micro_runtime_shape(self):
-        opset = 14  # opset=13, 14, ...
+        opset = TestOnnxMicroRuntime.opset
         x = numpy.array([1, 2, 4, 5, 5, 4]).astype(
             numpy.float32).reshape((3, 2))
         cop = OnnxShape('X', op_version=opset, output_names=['Y'])
@@ -55,7 +57,7 @@ def test_onnx_micro_runtime_shape(self):
         self.assertEqual(numpy.array(x.shape, dtype=numpy.int64), out['Y'])
 
     def test_onnx_micro_runtime_transpose(self):
-        opset = 14  # opset=13, 14, ...
+        opset = TestOnnxMicroRuntime.opset
         x = numpy.array([1, 2, 4, 5, 5, 4]).astype(
             numpy.float32).reshape((3, 2))
         cop = OnnxTranspose('X', perm=[1, 0], op_version=opset,
@@ -66,7 +68,7 @@ def test_onnx_micro_runtime_transpose(self):
         self.assertEqual(x.T, out['Y'])
 
     def test_onnx_micro_runtime_matmul(self):
-        opset = 14  # opset=13, 14, ...
+        opset = TestOnnxMicroRuntime.opset
         x = numpy.array([1, 2, 4, 5]).astype(
             numpy.float32).reshape((2, 2))
         cop = OnnxMatMul('X', 'X', op_version=opset,
@@ -77,7 +79,7 @@ def test_onnx_micro_runtime_matmul(self):
         self.assertEqual(numpy.matmul(x, x), out['Y'])
 
     def test_onnx_micro_runtime_squeeze(self):
-        opset = 14  # opset=13, 14, ...
+        opset = TestOnnxMicroRuntime.opset
         x = numpy.array([1, 2, 4, 5]).astype(
             numpy.float32).reshape((2, 2, 1))
         cop = OnnxSqueeze('X', numpy.array([2], dtype=numpy.int64),
@@ -88,7 +90,7 @@ def test_onnx_micro_runtime_squeeze(self):
         self.assertEqual(numpy.squeeze(x), out['Y'])
 
     def test_onnx_micro_runtime_unsqueeze(self):
-        opset = 14  # opset=13, 14, ...
+        opset = TestOnnxMicroRuntime.opset
         x = numpy.array([1, 2, 4, 5]).astype(
             numpy.float32).reshape((2, 2))
         cop = OnnxUnsqueeze('X', numpy.array([2], dtype=numpy.int64),
@@ -99,7 +101,7 @@ def test_onnx_micro_runtime_unsqueeze(self):
         self.assertEqual(x.reshape((2, 2, 1)), out['Y'])
 
     def test_onnx_micro_runtime_gemm(self):
-        opset = 14  # opset=13, 14, ...
+        opset = TestOnnxMicroRuntime.opset
         x = numpy.array([1, 2, 4, 5]).astype(
             numpy.float32).reshape((2, 2))
         for ta in [0, 1]:
diff --git a/_unittests/ut_tools/test_ort.py b/_unittests/ut_tools/test_ort.py
index cf6ce18b2..f6c066a16 100644
--- a/_unittests/ut_tools/test_ort.py
+++ b/_unittests/ut_tools/test_ort.py
@@ -12,8 +12,10 @@
 
 class TestOrt(ExtTestCase):
 
+    opset = 15  # opset = 13, 14, ...
+
     def test_prepare_c_profiling(self):
-        opset = 14  # opset=13, 14, ...
+        opset = TestOrt.opset
         dtype = numpy.float32
         x = numpy.array([1, 2, 4, 5, 5, 4]).astype(
             numpy.float32).reshape((3, 2))
diff --git a/_unittests/ut_tools/test_sklearn_helper.py b/_unittests/ut_tools/test_sklearn_helper.py
index 595f71885..c5ef64d23 100644
--- a/_unittests/ut_tools/test_sklearn_helper.py
+++ b/_unittests/ut_tools/test_sklearn_helper.py
@@ -70,11 +70,16 @@ def test_statistics_rf(self):
         res = inspect_sklearn_model(clr)
         self.assertEqual(res['max_depth'], 4)
         self.assertEqual(res['ntrees'], 10)
-        onx = to_onnx(clr, X_train[:1].astype(numpy.float32))
-        ostats = onnx_statistics(onx)
-        for k, v in {'nnodes': 11, 'doc_string': '', 'domain': 'ai.onnx', 'model_version': 0,
-                     'producer_name': 'skl2onnx', 'ai.onnx.ml': 1}.items():
-            self.assertEqual(ostats[k], v)
+        for dtype in [numpy.float32, numpy.float64]:
+            with self.subTest(dtype=dtype):
+                onx = to_onnx(clr, X_train[:1].astype(dtype))
+                ostats = onnx_statistics(onx)
+                for k, v in {'nnodes': 1, 'doc_string': '',
+                             'domain': 'ai.onnx', 'model_version': 0,
+                             'producer_name': 'skl2onnx', 'ai.onnx.ml': 1}.items():
+                    if k == 'ai.onnx.ml' and k not in ostats:
+                        continue
+                    self.assertEqual(ostats[k], v)
 
     @ignore_warnings(category=(UserWarning, RuntimeWarning, DeprecationWarning))
     def test_statistics_adaboost(self):
@@ -99,11 +104,17 @@ def test_statistics_pipeline_rf(self):
         self.assertEqual(res['max_depth'], 4)
         self.assertEqual(res['ntrees'], 10)
         self.assertEqual(res['nop'], 11)
-        onx = to_onnx(clr, X_train[:1].astype(numpy.float32))
-        ostats = onnx_statistics(onx)
-        for k, v in {'nnodes': 12, 'doc_string': '', 'domain': 'ai.onnx', 'model_version': 0,
-                     'producer_name': 'skl2onnx', 'ai.onnx.ml': 1}.items():
-            self.assertEqual(ostats[k], v)
+        expected = {numpy.float32: 2, numpy.float64: 3}
+        for dtype in [numpy.float32, numpy.float64]:
+            with self.subTest(dtype=dtype):
+                onx = to_onnx(clr, X_train[:1].astype(dtype))
+                ostats = onnx_statistics(onx)
+                for k, v in {'nnodes': expected[dtype], 'doc_string': '',
+                             'domain': 'ai.onnx', 'model_version': 0,
+                             'producer_name': 'skl2onnx', 'ai.onnx.ml': 1}.items():
+                    if k == 'ai.onnx.ml' and k not in ostats:
+                        continue
+                    self.assertEqual(ostats[k], v)
 
     @ignore_warnings(category=(UserWarning, RuntimeWarning, DeprecationWarning))
     def test_statistics_lin(self):
diff --git a/azure-pipelines.yml b/azure-pipelines.yml
index 39f59eaa0..553e962e6 100644
--- a/azure-pipelines.yml
+++ b/azure-pipelines.yml
@@ -167,7 +167,7 @@ jobs:
          # export MACOSX_DEPLOYMENT_TARGET=10.13
          python setup.py build_ext --inplace
     displayName: 'Build package inplace'
-  - script: python -u setup.py unittests -g ".*((LONG)|(SKIP)|(notebooks)).*" -d 50
+  - script: python -u setup.py unittests -g ".*((LONG)|(SKIP)|(notebooks)|(asv_benchmark)|(test_onnx_helper)|(test_onnx_inference)|(test_onnxrt_python_runtime_ml)|(test_custom_embedded_any_models)|(test_custom_)|(test_onnx_pipeline)|(test_onnx_speedup_cluster)).*" -d 7
     displayName: 'Runs Unit Tests'
   - script: |
       python -m pip install cibuildwheel
diff --git a/mlprodict/asv_benchmark/_create_asv_helper.py b/mlprodict/asv_benchmark/_create_asv_helper.py
index 27a8a511d..b51efcd4c 100644
--- a/mlprodict/asv_benchmark/_create_asv_helper.py
+++ b/mlprodict/asv_benchmark/_create_asv_helper.py
@@ -378,8 +378,6 @@ def _additional_imports(model_name):
     """
     if model_name == 'IterativeImputer':
         return ["from sklearn.experimental import enable_iterative_imputer  # pylint: disable=W0611"]
-    if model_name in ('HistGradientBoostingClassifier', 'HistGradientBoostingClassifier'):
-        return ["from sklearn.experimental import enable_hist_gradient_boosting  # pylint: disable=W0611"]
     return None
 
 
diff --git a/mlprodict/onnx_tools/onnx_export.py b/mlprodict/onnx_tools/onnx_export.py
index 2e44de6cb..da78dc2fd 100644
--- a/mlprodict/onnx_tools/onnx_export.py
+++ b/mlprodict/onnx_tools/onnx_export.py
@@ -6,8 +6,6 @@
 .. versionadded:: 0.7
 """
 import numpy
-from jinja2 import Template
-import autopep8
 import onnx
 from onnx import numpy_helper
 from .onnx2py_helper import (
@@ -37,6 +35,9 @@ def export_template(model_onnx, templates, opset=None, verbose=True, name=None,
     :param autopep_options: :epkg:`autopep8` options
     :return: python code
     """
+    # delayed import to avoid raising an exception if not installed.
+    import autopep8
+
     def number2name(n):
         n += 1
         seq = []
@@ -177,6 +178,7 @@ def rename_name(name):
     mark_inits = {}
 
     # First rendering to detect any unused or replaced initializer.
+    from jinja2 import Template  # delayed import
     template = Template(templates)
     final = template.render(
         enumerate=enumerate, sorted=sorted, len=len,
diff --git a/mlprodict/onnxrt/doc/doc_helper.py b/mlprodict/onnxrt/doc/doc_helper.py
index 42b403dc7..ffae0816a 100644
--- a/mlprodict/onnxrt/doc/doc_helper.py
+++ b/mlprodict/onnxrt/doc/doc_helper.py
@@ -5,8 +5,6 @@
 import keyword
 import textwrap
 import re
-from jinja2 import Template
-from jinja2.runtime import Undefined
 from onnx.defs import OpSchema
 from ...tools import change_style
 
@@ -38,6 +36,7 @@ def type_mapping(name):
 
 def _get_doc_template():
 
+    from jinja2 import Template  # delayed import
     return Template(textwrap.dedent("""
         {% for sch in schemas %}
 
@@ -139,6 +138,7 @@ def get_rst_doc(op_name):
     The function relies on module :epkg:`jinja2` or replaces it
     with a simple rendering if not present.
     """
+    from jinja2.runtime import Undefined
     from ..ops_cpu._op import _schemas
     schemas = [_schemas.get(op_name, NewOperatorSchema(op_name))]
 
diff --git a/mlprodict/onnxrt/doc/doc_write_helper.py b/mlprodict/onnxrt/doc/doc_write_helper.py
index 56b999852..f672473bc 100644
--- a/mlprodict/onnxrt/doc/doc_write_helper.py
+++ b/mlprodict/onnxrt/doc/doc_write_helper.py
@@ -5,7 +5,6 @@
 from logging import getLogger
 from textwrap import indent, dedent
 import numpy
-from jinja2 import Template
 from pandas import DataFrame, notnull
 from sklearn.linear_model import LinearRegression
 from pyquickhelper.loghelper import noLOG
@@ -49,6 +48,7 @@ def enumerate_visual_onnx_representation_into_rst(sub, fLOG=noLOG):
     Returns content for pages such as
     :ref:`l-skl2onnx-linear_model`.
     """
+    from jinja2 import Template  # delayed import
     logger = getLogger('skl2onnx')
     logger.disabled = True
 
diff --git a/mlprodict/onnxrt/validate/validate_problems.py b/mlprodict/onnxrt/validate/validate_problems.py
index b24f181fa..01bf501f9 100644
--- a/mlprodict/onnxrt/validate/validate_problems.py
+++ b/mlprodict/onnxrt/validate/validate_problems.py
@@ -25,7 +25,6 @@
 from sklearn.feature_extraction import DictVectorizer, FeatureHasher
 from sklearn.feature_extraction.text import (
     CountVectorizer, TfidfVectorizer, TfidfTransformer)
-from sklearn.experimental import enable_hist_gradient_boosting  # pylint: disable=W0611
 from sklearn.ensemble import (
     HistGradientBoostingRegressor,
     HistGradientBoostingClassifier)
diff --git a/mlprodict/onnxrt/validate/validate_scenarios.py b/mlprodict/onnxrt/validate/validate_scenarios.py
index 0a954e3cc..4a6ad15a2 100644
--- a/mlprodict/onnxrt/validate/validate_scenarios.py
+++ b/mlprodict/onnxrt/validate/validate_scenarios.py
@@ -2,7 +2,6 @@
 @file
 @brief Scenarios for validation.
 """
-from sklearn.experimental import enable_hist_gradient_boosting  # pylint: disable=W0611
 from sklearn import __all__ as sklearn__all__, __version__ as sklearn_version
 from sklearn.cluster import KMeans
 from sklearn.calibration import CalibratedClassifierCV
diff --git a/mlprodict/testing/einsum/einsum_bench.py b/mlprodict/testing/einsum/einsum_bench.py
index 4c44055b4..422261238 100644
--- a/mlprodict/testing/einsum/einsum_bench.py
+++ b/mlprodict/testing/einsum/einsum_bench.py
@@ -11,7 +11,7 @@
 from .einsum_impl import decompose_einsum_equation, apply_einsum_sequence
 
 
-def _make_einsum_model(equation, opset=14):  # opset=13, 14, ...
+def _make_einsum_model(equation, opset=15):  # opset=13, 14, ...
     from skl2onnx.common._topology import OPSET_TO_IR_VERSION  # pylint: disable=E0611,E0001
     inputs = equation.split('->')[0].split(',')
 
@@ -57,7 +57,7 @@ def _make_inputs(equation, shapes):
 
 def einsum_benchmark(equation="abc,cd->abd", shape=30, perm=False,
                      runtime='python', use_tqdm=False,
-                     number=5, repeat=5, opset=14):  # opset=13, 14, ...
+                     number=5, repeat=5, opset=15):  # opset=13, 14, ...
     """
     Investigates whether or not the decomposing einsum is faster.
 
diff --git a/mlprodict/tools/asv_options_helper.py b/mlprodict/tools/asv_options_helper.py
index e1b5b9802..b7743dbfb 100644
--- a/mlprodict/tools/asv_options_helper.py
+++ b/mlprodict/tools/asv_options_helper.py
@@ -74,7 +74,7 @@ def benchmark_version():
         from mlprodict.tools.asv_options_helper import benchmark_version
         print(benchmark_version())
     """
-    return [14]  # opset=13, 14, ...
+    return [15]  # opset=13, 14, ...
 
 
 def ir_version():
diff --git a/requirements.txt b/requirements.txt
index 276c6b6b4..980273fb3 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -11,7 +11,7 @@ numba
 numpy>=1.19.0
 pandas
 pillow
-scikit-learn>=0.24
+scikit-learn>=1.0
 scipy>=1.7.0
 Sphinx
 wheel
@@ -47,5 +47,5 @@ xgboost
 
 # onnx
 onnx>=1.10.1
-onnxruntime>=1.8.1
-skl2onnx>=1.9.3
+onnxruntime>=1.9.0
+skl2onnx>=1.10.0
diff --git a/setup.py b/setup.py
index a019cd1a2..e331ba245 100644
--- a/setup.py
+++ b/setup.py
@@ -384,14 +384,14 @@ def get_extensions():
     install_requires=["pybind11", "numpy>=1.17", "onnx>=1.7.0", 'scipy>=1.0.0',
                       'jinja2', 'cython'],
     extras_require={
-        'npy': ['scikit-learn>=0.24', 'skl2onnx>=1.9.3'],
-        'onnx_conv': ['scikit-learn>=0.24', 'skl2onnx>=1.9.3',
+        'npy': ['scikit-learn>=0.24', 'skl2onnx>=1.10.0'],
+        'onnx_conv': ['scikit-learn>=0.24', 'skl2onnx>=1.10.0',
                       'joblib', 'threadpoolctl', 'mlinsights>=0.3',
                       'lightgbm', 'xgboost'],
-        'onnx_val': ['scikit-learn>=0.24', 'skl2onnx>=1.9.3',
+        'onnx_val': ['scikit-learn>=0.24', 'skl2onnx>=1.10.0',
                      'onnxruntime>=1.6.0', 'joblib', 'threadpoolctl'],
         'sklapi': ['scikit-learn>=0.24', 'joblib', 'threadpoolctl'],
-        'all': ['scikit-learn>=0.24', 'skl2onnx>=1.9.3',
+        'all': ['scikit-learn>=0.24', 'skl2onnx>=1.10.0',
                 'onnxruntime>=1.6.0', 'scipy' 'joblib', 'pandas',
                 'threadpoolctl', 'mlinsights>=0.3',
                 'lightgbm', 'xgboost', 'mlstatpy>=0.3.593'],