gazer

Machine learning library built on top of several popular projects, e.g., scikit-learn and scikit-optimize.


Keywords
machine learning, software, data-science, machine-learning, machine-learning-algorithms, machine-learning-library, python, scikit-learn
License
MIT
Install
pip install gazer==0.1.dev1

Documentation

ml-meta-wrapper

The project aims to develop a customized ML framework on top of existing libraries

It will be written in python3.4+. Libraries which will be heavily relied upon are:

Pre-processing

  • sci-kit learn (for e.g. outlier detection and standardizing)
  • scipy
  • More to follow...

Visualization

  • Seaborn
  • Hypertools

Learning and evaluation

  • sci-kit learn
  • tensorflow/keras
  • xgboost
  • More to follow...

Intepretation

  • LIME

Wrapper modules will be added with time. Albeit most machine learning tasks fit on a single laptop, I will consider writing some modules in Spark (perhaps best suited for ETL jobs) or DASK/BLAZE.