Show HN: Provide a CSV and a target field, generate a model and code to run it

Give an input CSV file and a target field you want to predict to automl-gs, and get a trained high-performing machine learning or deep learning model plus native Python code pipelines allowing you to integrate that model into any prediction workflow. automl-gs is an AutoML tool which, unlike Microsoft’s NNI, Uber’s Ludwig, and 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). Currently automl-gs supports the generation of models for regression and classification problems using the following Python frameworks:

automl-gs can be installed via pip:

You will also need to install the corresponding ML/DL framework (e.g. / for TensorFlow, for xgboost, etc.)

After that, you can run it directly from the command line.

Source: github.com