Metadata-Version: 2.1
Name: mlpiper
Version: 1.0.1
Summary: An ML Pipeline to be executed by 'mlpiper' tool
Home-page: https://mlpiper.github.io/mlpiper/mlcomp/
Author: DataRobot
Author-email: zohar.mizrahi@datarobot.com
License: Apache License 2.0
Description: # README
        
        This is an example of a machine-learning pipeline that is implemented by the **'mlpiper'** platform.
        
        This specific example is no more than a simple sklearn implementation, without using the
        built-in sklearn Pipeline structure.
        
        The pipeline description is provided by the `pipeline/pipeline.json` file.
        
        
        ## Setup
        
        1. Download the tarball source code and extract it
        
        2. Open a terminal and change directory to the extracted folder
        
        2. Create virtual env, whose name is 'mlpiper', or anything else (If you've already created it, use `workon` to activate it):
        
        	* ```> mkvirtualenv --python=3 mlpiper```
        
        3. Install the requirements (Skip if already installed):
        
        	* ```> pip install -r requirements.txt```
        
        
        # Run Example
        
        (**Note:** Please make sure the environment was setup properly. Refer to ['Setup' section](#Setup) above for more information)
        
        1. Browse to the extracted folder
        
        
        2. Run the `run_pipeline.sh` script:
        
        	* ```> run_pipeline.sh```
        
        
        # Results
        
        ```
        ...
        Log Loss: 0.6571923425816221
        ROC AUC Score: 0.6350086940964011
        ...
        real	0m2.199s
        user	0m2.528s
        sys		0m0.295s
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: MacOS
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Requires-Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*
Description-Content-Type: text/markdown
