Metadata-Version: 2.1
Name: auto-machine-learning
Version: 0.0.10
Summary: This is an python Library for AutoML which works for prediction and classification tasks.
Home-page: https://github.com/mihir2510/AutoML_library
Author: Mihir Gada, Zenil Haria, Arnav Mankad, Kaustubh Damania
Author-email: 
License: MIT
Download-URL: https://pypi.org/project/auto-machine-learning/
Project-URL: Documentation, https://github.com/mihir2510/AutoML_library
Project-URL: Source Code, https://github.com/mihir2510/AutoML_library
Description: # AutoML-library
        
        ### Data Preprocessing:
          get_features
        
            Parameters
            --------
            - dataset : Pandas Dataframe
            Dataset containing features *AND* labels
            - label : String 
            Column name of label
        
            Returns
            --------
            List of Features in String
        
          remove_null
        
            Parameters
            --------
            - dataset : Pandas Dataframe
            Dataset containing features  **AND** labels
            - label : String 
            Column name of label
        
            Returns
            --------
            Modified dataset with null values removed
        
        label_encode
        
            Parameters
            --------
            - dataset : Pandas Dataframe
            Dataset containing features **AND** labels
            - label : String 
            Column name of label
        
            Returns
            --------
            Modified dataset with Label encoded values
        
        oversampling
        
            Parameters
            --------
            - dataset : Pandas Dataframe
            Dataset containing features AND labels
            - label : String 
            Column name of label
        
            Returns
            --------
            Modified dataset with oversampling performed
        
        
        ### Feature Engineering:
        `TBD`
        
        ### Hyperparameter Optimization:
        
        HPO
        
            Parameters
            --------
            - dataset : Pandas Dataframe
            Dataset containing features AND labels
            - label : String 
            Column name of label
            - Model name : String
            - Method name : String ['all', 'grid', 'random', 'bayesian-gp','bayesian-tpe']
            - Time taken?
        
            Returns
            --------
            Sklearn model of type `Model name`
        
Keywords: automl,data preprocessing,feature engineering,ensembling,super learner
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 :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown
