Updating onnxmltools package version and requirements to 1.5.0 (#315)

* Updating onnxmltools package version and requirements

* Update flaky test onnxruntime version

Author: vinitra

onnxmltools/__init__.py

@@ -9,7 +9,7 @@
 This framework converts any machine learned model into onnx format
 which is a common language to describe any machine learned model.
 """
-__version__ = "1.4.1"
+__version__ = "1.5.0"
 __author__ = "Microsoft"
 __producer__ = "OnnxMLTools"
 __producer_version__ = __version__

requirements.txt

@@ -4,4 +4,4 @@ protobuf
 onnx
 skl2onnx
 keras2onnx
-onnxconverter-common>=1.4.0
+onnxconverter-common>=1.5.0

tests/svmlib/test_SVMConverters.py

@@ -121,7 +121,7 @@ def test_convert_svmc_linear(self):
         self.assertTrue(node is not None)
         dump_data_and_model(X[:5].astype(numpy.float32), SkAPIClProba2(libsvm_model), node,
                             basename="LibSvmSvmcLinear-Dec3",
-                            allow_failure="StrictVersion(onnxruntime.__version__) <= StrictVersion('0.3.0')")
+                            allow_failure="StrictVersion(onnxruntime.__version__) < StrictVersion('0.5.0')")
 
     def test_convert_svmc(self):
         iris = load_iris()