Metadata-Version: 2.1
Name: mlsetup
Version: 1.0.0
Summary: A simple cli utility to generate ML project structure for quickly starting ML projects
Home-page: https://github.com/vikramsoni2/mlsetup
Author: Vikram Soni
Author-email: vikram9880@gmail.com
License: MIT
Description: ### Project Structure for MLflow integrated ML Projects
        
        This cli tool generates the following directory structure for quickstart ML projects
        
        installaton:  
        
            pip install mlsetup
        
        example use:  
            
            mlsetup create mytestproject
            
        
        It generates the project with following structure
        
            Project
            |
            +--- Input
            |    |
            |    +--- raw               Raw data here
            |    |
            |    +--- interim           Any intermediate data, to pause and continue experiments
            |    |
            |    +--- processed         Processed data ready for ML pipeline
            |
            +--- output
            |    |
            |    +--- models             Model pickle or model weights stored here
            |    |
            |    +--- artifacts         Serialized artifacts like LabelEncoder, Vectorizer etc
            |    |
            |    +--- images            All plots and visualizations goes here
            |    |
            |    +--- Results           If the results needs to be stored for review, save here
            |
            +--- notebooks              All notebooks and experiments resides here
            |
            +--- src                    Final program, with training and prediction pipeline
            |
            |
            README.md                   Description and instruction about the project
            mlsetup                   MLflow project file. If you want to use this directory as MLflow project
            Requirements.txt            python dependencies
            Config.yml                  configuration key values in yaml format
         
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=2.7
Description-Content-Type: text/markdown
