Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (4.6%) to scientific vocabulary
Repository
A Cost-based metric for Predictive Maintenance
Basic Info
- Host: GitHub
- Owner: HunkBenny
- License: other
- Language: Jupyter Notebook
- Default Branch: main
- Size: 19.2 MB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
PRMC
Repository tree:
LSTMPRMC.ipynb README.md XGBOOSTPRMC.ipynbdata gold test.csv train.csv validation.csv
emp init.py
losses prmc keras.py xgboost.py
metrics maintenance.py ranking.py
models init.py
prmc keras.pypackages hypopt modelselection.py version.py _init__.py
preprocessing keras.py
packages:
This folder contains code from the hypopt-package that was used during the hyper parameter search. Hypopt GitHub: https://github.com/cgnorthcutt/hypopt
notebooks:
The notebooks 'LSTMPRMC.ipynb' and 'XGBOOSTPRMC.ipynb' contain code on training a model with the PRMC as objective. In both notebooks, after the "ANALYSIS" cell, an analysis is done with use of the PRMC-metric.
instance-based PRMC for XGBoost was loosely based on:
https://github.com/bram-janssens/B2Boost
Owner
- Login: HunkBenny
- Kind: user
- Company: BSS-BV
- Website: https://www.linkedin.com/in/samj-bakker/
- Repositories: 1
- Profile: https://github.com/HunkBenny
Student Business Engineering: Data Analytics @ University of Ghent! 2.5 years of experience in PHP & Python. Data Science & Web Development.
GitHub Events
Total
- Delete event: 1
- Push event: 3
- Pull request event: 2
Last Year
- Delete event: 1
- Push event: 3
- Pull request event: 2