Some update of documents and unify the version of release. (#118)

Author: wenbingl

README.md

@@ -8,12 +8,12 @@
 
 # Introduction 
 ONNXMLTools enables you to convert models from different machine learning toolkits into [ONNX](https://onnx.ai). Currently the following toolkits are supported:
-* Apple CoreML
+* Apple Core ML
 * scikit-learn (subset of models convertible to ONNX)
 * Keras (version 2.0.0 or higher)
 * LightGBM (through its scikit-learn interface)
 
-(To convert ONNX model to CoreML, see [onnx-coreml](https://github.com/onnx/onnx-coreml))
+(To convert ONNX model to Core ML, see [onnx-coreml](https://github.com/onnx/onnx-coreml))
 
 # Getting Started
 Clone this repository on your local machine.
@@ -37,7 +37,7 @@ This package uses ONNX, NumPy, and ProtoBuf. If you are converting a model from
 4. LightGBM (scikit-learn interface)
 
 ## Examples
-Here is a simple example to convert a CoreML model:
+Here is a simple example to convert a Core ML model:
 ```python
 import onnxmltools
 import coremltools
@@ -90,4 +90,4 @@ onnx_model = onnxmltools.convert_keras(keras_model)
 [MIT License](LICENSE)
 
 ## Acknowledgments
-The initial version of this package was developed by the following engineers and data scientists at Microsoft during winter 2017: Zeeshan Ahmed, Wei-Sheng Chin, Aidan Crook, Xavier Dupre, Costin Eseanu, Tom Finley, Lixin Gong, Scott Inglis, Pei Jiang, Ivan Matantsev, Prabhat Roy, M. Zeeshan Siddiqui, Shouheng Yi, Shauheen Zahirazami, Yiwen Zhu.
+The package was developed by the following engineers and data scientists at Microsoft starting from winter 2017: Zeeshan Ahmed, Wei-Sheng Chin, Aidan Crook, Xavier Dupre, Costin Eseanu, Tom Finley, Lixin Gong, Scott Inglis, Pei Jiang, Ivan Matantsev, Prabhat Roy, M. Zeeshan Siddiqui, Shouheng Yi, Shauheen Zahirazami, Yiwen Zhu, Du Li, Xuan Li, Wenbing Li

README.rst

@@ -19,7 +19,7 @@ ONNXMLTools enables you to convert models from different machine
 learning toolkits into `ONNX <https://onnx.ai>`_. 
 Currently the following toolkits are supported:
 
-* Apple CoreML
+* Apple Core ML
 * scikit-learn (subset of models convertible to ONNX)
 * Keras (version 2.0.0 or higher)
 * LightGBM (through its scikit-learn interface)
@@ -42,7 +42,7 @@ This package uses ONNX, NumPy, and ProtoBuf. If you are converting a model from
 Example
 =======
 
-Here is a simple example to convert a CoreML model:
+Here is a simple example to convert a Core ML model:
 
 ::
 

setup.py

@@ -18,13 +18,21 @@
 packages = find_packages()
 assert packages
 
+# read version from the package file.
+version_str = '1.0.0.0000'
+with (open(os.path.join(this, 'onnxmltools/__init__.py'), "r")) as f:
+    line = [_ for _ in [_.strip("\r\n ")
+                                for _ in f.readlines()] if _.startswith("__version__")]
+    if len(line) > 0:
+        version_str = line[0].split('=')[1].strip('" ')
+
 README = os.path.join(os.getcwd(), "README.rst")
 with open(README) as f:
     long_description = f.read()
 
 setup(
     name='onnxmltools',
-    version='1.2.0.0116',
+    version=version_str,
     description="Converts Machine Learning models to ONNX",
     long_description=long_description,
     license='MIT License',