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Benchmarking code for ML project

Shell 0.01% Python 1.71% Makefile 0.04% Batchfile 0.01% Jupyter Notebook 98.19% Stan 0.05% Dockerfile 0.01%

ml_project_bench_k5x8's Introduction

ML Project Code

Setup

Make sure to run this first to avoid dependency issues:

pip install -e MLPrimitives/
pip install -e Orion/
pip install -e mSSA/
pip install -r requirements.txt

Adding a method

Suppose your method is called MyMethod and will be implemented in the file my_method.py.

  • Go to Orion/orion/primitives. Create the file my_method.py. Taking inspiration from orbit.py implement a fit and predict method of the MyMethod class.
  • Go to Orion/orion/primitives/json. Create the file orion.primitives.my_method.MyMethod.json.
  • Copy/Paste its content from orion.primitives.orbit.OrbitTAD.json. Make sure the rename the references to orbit and to OrbitTAD by my_method and MyMethod and to modify parameters.
  • Go to Orion/orion/pipelines/verified/. Create a my_method folder, with a my_method.json file.
  • Again, take inspiration from the Orion/orion/pipelines/verified/orbit/orbit.json. Make sure to again update the names and parameters.

Testing a method

  • Open essai.py, and replace orbit by my_method.
  • Put in the datasets you want.
  • Run.

ml_project_bench_k5x8's People

Contributors

abdullaho avatar alsobay avatar amlatyrngom avatar trellixvulnteam avatar

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