Merge pull request #59 from microsoft/mainterl/pypi

Install from pypi

README.md

@@ -14,12 +14,9 @@ Currently, you can use *Hummingbird* to convert your trained traditional ML mode
 
 ## Installation
 
-Hummingbird was tested on Python 3.6. and 3.7 on Linux, Windows and MacOS machines.  It is recommended to use a virtual environment (See: [python3 venv doc](https://docs.python.org/3/tutorial/venv.html) or [Using Python environments in VS Code](https://code.visualstudio.com/docs/python/environments).)
+Hummingbird was tested on Python >= 3.6 on Linux, Windows and MacOS machines.  It is recommended to use a virtual environment (See: [python3 venv doc](https://docs.python.org/3/tutorial/venv.html) or [Using Python environments in VS Code](https://code.visualstudio.com/docs/python/environments).)
 ```
-mkdir hummingbird
-cd hummingbird
-git clone https://github.com/microsoft/hummingbird.git .
-python setup.py install
+pip install hummingbird-ml
 ```
 
 

TROUBLESHOOTING.md

@@ -2,9 +2,12 @@
 
 
 ### Install:
-* During `pip install`, xgboost error:  (Ex:  `./xgboost/build-python.sh: line 21: cmake: command not found`)
-    * install cmake (Ex: `brew install cmake` or `apt install cmake`)
+* During `pip install`, xgboost error:  (Ex:  `./xgboost/build-python.sh: line 21: cmake: command not found`).
+    * Install `cmake` (Ex: `brew install cmake` or `apt install cmake`).
 
 
-*  During `pip install`, an error with lightgbm: (Ex: `OSError: dlopen(lib_lightgbm.so, 6): Library not loaded: ...libomp.dylib`)
-    * There is a fixed issue with lgbm and MacOS.  See [LightGBM#1369](https://github.com/Microsoft/LightGBM/issues/1369)
+*  During `pip install`, an error with lightgbm: (Ex: `OSError: dlopen(lib_lightgbm.so, 6): Library not loaded: ...libomp.dylib`).
+    * There is a fixed issue with lgbm and MacOS.  See [LightGBM#1369](https://github.com/Microsoft/LightGBM/issues/1369).
+
+* During `pip install` on Windows, an error with PyTorch (Ex: ` ERROR: Could not find a version that satisfies the requirement torch>=1.4.0`).
+    * Install PyTorch manually by following the instructions on PyTorch [website](https://pytorch.org/).

setup.py

@@ -25,7 +25,7 @@
         long_description = long_description[start_pos:]
 
 setup(
-    name="hummingbird",
+    name="hummingbird-ml",
     version=version_str,
     description="Convert trained traditional machine learning models into tensor computations",
     license="MIT License",
@@ -36,10 +36,10 @@
     include_package_data=True,
     install_requires=requirements,
     classifiers=[
-        "Development Status :: 1 - Beta",
         "Environment :: Console",
         "Intended Audience :: Developers",
         "Programming Language :: Python",
+        "Operating System :: OS Independent",
         "License :: OSI Approved :: MIT License",
     ],
     python_requires='>=3.6',