Metadata-Version: 2.1
Name: autopredict
Version: 1.0.5
Summary: Autopredict is a package to automate Machine learning model selection/ feature selection tasks
Home-page: https://github.com/slatawa/autopredict.git
Author: Sanchit Latawa
Author-email: slatawa@yahoo.in
License: Apache Software License
Description: # autopredict
        
        [![N|Solid](https://cldup.com/dTxpPi9lDf.thumb.png)](https://nodesource.com/products/nsolid)
        
        [![Build Status](https://travis-ci.org/joemccann/dillinger.svg?branch=master)](https://github.com/slatawa/autopredict)
        
        Autopredict is a simple yet powerful library which can be used by Data Scientists to create multiple prediction (regression,classification) data models.Pass in the data to autopredict and sit back as it does all the work for you. It is very powerfull in creating intial baseline models and also has ready made tweaked parameters for multiple models to generate highly accurate predictions.
        
          - Automate Model Selection
          - Hyperparameter tuning 
          - Feature selection/ranking
        
        This software has been designed with much Joy,
        by Sanchit Latawa & is protected by The Apache Licensev2.0.
        
        # New Features!
        
          - Added new classification Models
          - Allow grid tuning parameters to be passed in as argument 
        
        
        
        ### Tech
        
        ### Sample Usage
        ```sh
        >> from autopredict.classification import autoClassify
        >> model =autoClassify(encoder='label',scaler='minmax',use_grid_tuning=False)
        >> model.train(X,y)
        >>print(model.getModelScores())  
        ```
        ### Output
        ```sh
        modelName                  score     roc_auc_score  f1_score
        LogisticRegression         0.927464   0.639570      0.000000
        DecisionTreeClassifier     0.937422   0.788967      0.285612
        GaussianNB                 0.935352   0.760670      0.203207
        RandomForestClassifier     0.937297   0.791552      0.248444
        GradientBoostingClassifier 0.937472   0.792435      0.257557
        ```
        ### Development
        
        Want to contribute? 
        Please reach out to me at slatawa@yahoo.in and we can go over the Queue items planned for 
        the next release 
        
        ### Todos
        
         - Write MORE Tests
         - Add option for RFE
        
        License
        ----
        Apache v2.0
        
        
        **Free Software, Hell Yeah!**
        
        [//]: # (These are reference links used in the body of this note and get stripped out when the markdown processor does its job. There is no need to format nicely because it shouldn't be seen. Thanks SO - http://stackoverflow.com/questions/4823468/store-comments-in-markdown-syntax)
        
        
           
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Intended Audience :: Developers
Requires-Python: >=3.5
Description-Content-Type: text/markdown
