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View Code? Open in Web Editor NEWProductionize machine learning predictions, with ONNX or without
Home Page: http://www.xavierdupre.fr/app/mlprodict/helpsphinx/index.html
License: MIT License
Productionize machine learning predictions, with ONNX or without
Home Page: http://www.xavierdupre.fr/app/mlprodict/helpsphinx/index.html
License: MIT License
Shouldn't sklearn and skl2onnx also be in install_requires
?
Operator output only used once are not used anymore. Instead of creating a new container, the first could be reused whenever possible.
The example fails to run:
$ python _doc/examples/plot_grid_search.py
Traceback (most recent call last):
File "_doc/examples/plot_grid_search.py", line 51, in <module>
model, initial_types=[('X', FloatTensorType((None, X.shape[1])))])
File "/path/to//site-packages/skl2onnx/convert.py", line 123, in convert_sklearn
custom_shape_calculators, custom_parsers)
File "/path/to//site-packages/skl2onnx/_parse.py", line 353, in parse_sklearn_model
inputs.append(scope.declare_local_variable(var_name, initial_type))
File "/path/to//site-packages/skl2onnx/common/_topology.py", line 307, in declare_local_variable
variable = Variable(raw_name, onnx_name, self.name, type)
File "/path/to//site-packages/skl2onnx/common/_topology.py", line 73, in __init__
"'{}'.".format(dim))
TypeError: shape must contains integers not 'None'.
OpenMP does not seem to really work for DecisionTreeClassifier
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