mlVajra

A framework or best practices to develop end to end machine learning pipeline (also has some tips for ML-management people ) Aim : To built robust depoyment pipeline strategies using Open source stack planning to add as many strategies in this repo pertaining to ML-deployment

Installation : pip install mlvajra

TODO list

Deploy

• Mlflow
• Tensorflow serving

evalution:

• sklearn metrics
• pycm

model-Training /distribuited

• mlflow -generic classification metrics
• nnictl-automl -tensorflow /pytorch

Feature Engineering

• pandas
• pyspark-Flint

preprocessing

• cyclic features
• lag features
• window features