Metadata-Version: 2.1
Name: OreoML
Version: 0.0.1
Summary: Provide an input CSV and a target field to predict, generate a model.
Home-page: https://github.com/harishsg99/OreoML
Author: Harish S.G
Author-email: harishsg99@gmail.com
License: MIT
Description: 
        Give an input CSV file and a target field you want to predict to automl-gs, and get a trained high-performing machine learning . No black box: you can see *exactly* how the data is processed, how the model is constructed, and 
        OreoML is an AutoML tool which, unlike Microsoft's [NNI](https://github.com/Microsoft/nni), Uber's [Ludwig](https://github.com/uber/ludwig), and [TPOT](https://github.com/EpistasisLab/tpot), offers a *zero code/model definition interface* to getting an optimized model and data transformation pipeline in multiple popular ML/DL frameworks, with minimal Python dependencies (pandas + scikit-learn + your framework of choice). automl-gs is designed for citizen data scientists and engineers without a deep statistical background under the philosophy that you don't need to know any modern data preprocessing and machine learning engineering techniques to create a powerful prediction workflow.
        
Keywords: deep learning,tensorflow,keras,automl,xgboost
Platform: UNKNOWN
Requires-Python: >=3.5
Description-Content-Type: text/markdown
