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Amle

Experiment code for "Probabilistic Matrix Factorization for Automated Machine Learning"

Install / Use

/learn @elibol/Amle
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

SETUP

Please use pip to install requirements.

  1. pip install -r requirements.txt
  2. pip install -r requirements-git.txt
  3. python setup.py develop (to expose amle package to scripts)

Run auto-sklearn Experiment

  1. python scripts/run_all_dids.py
  2. Results will be written to the directory {results_dir} specified as parameter -d in run_all_dids.py. See scripts/asklearn.py for parameter descriptions.
  3. Generate prediction results by running python scripts/process_results.py {results_dir}

Notes

Everything was tested with Anaconda (https://www.continuum.io/downloads) in a conda environment created with command conda create --name amle python=2.7.

Please notify us of any missing dependencies in different environments.

Related Skills

View on GitHub
GitHub Stars20
CategoryEducation
Updated2y ago
Forks1

Languages

Python

Security Score

75/100

Audited on Jan 4, 2024

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