Metadata-Version: 2.1
Name: explainx
Version: 0.6
Summary: State of the art to explain any blackbox Machine Learning model.
Home-page: https://github.com/explainX/explainx
Author: explainx.ai
Author-email: muddassar@explainx.ai
License: MIT
Download-URL: https://github.com/explainX/explainx/archive/v_04.zip
Description: # explainX
        
        explainX.ai helps data scientists understand, explain and validate any machine learning model - in just one line of code. Checkout explainx.ai to learn more.
        
        Use the package manager [pip](https://pip.pypa.io/en/stable/) to install foobar.
        
        ```bash
        pip install explainx``
        
        ## Usage
        
        #Import the library
        from explainx import *
        
        #Load Dataset
        X_data, Y_data = explainx.dataset_boston()
        
        #Pass X_data, Y_data as numpy arrays into your XGBoost Model
        model = xgboost.train({"learning_rate": 0.01}, xgboost.DMatrix(X, label=Y_data), 100)
        
        #Pass your X_data, Y_data, y_variable name, model and model name to the explainx function
        explainx.ai(X_data, Y_data, model, model_name="xgboost")
        
        #Click on the link to access the dashboard
        App running on https://127.0.0.1:8050
        ```
        
        ## Contributing
        Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
        
        Please make sure to update tests as appropriate.
        
        ## License
        [MIT](https://choosealicense.com/licenses/mit/)
Keywords: Explainable AI,Explainable Machine Learning,trust,interpretability,transparent
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
