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GitHub / BUDDI-AI / CIAMS
A toolkit for automatically selecting a suitable classification model along with an assessment of how hard or easy to learn a classifier on the given dataset.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BUDDI-AI%2FCIAMS
Stars: 7
Forks: 4
Open Issues: 0
License: bsd-3-clause
Language: Python
Repo Size: 224 KB
Dependencies:
39
Created: over 3 years ago
Updated: about 3 years ago
Last pushed: about 3 years ago
Last synced: about 1 year ago
Topics: automl, machine-learning, model-selection
Files
Dependencies
- numpydoc ==0.9.2
- sphinx ==2.4.2
- sphinx-argparse ==0.2.5
- sphinx_bootstrap_theme ==0.7.1
- Cython ==0.29.15
- cycler ==0.10.0
- et-xmlfile ==1.0.1
- hdbscan ==0.8.24
- jdcal ==1.4.1
- joblib ==0.14.1
- kiwisolver ==1.1.0
- matplotlib ==3.2.0rc3
- npyscreen ==4.10.5
- numpy ==1.18.1
- onnxruntime ==1.1.2
- openpyxl ==3.0.3
- pandas ==1.0.1
- pyparsing ==2.4.6
- python-dateutil ==2.8.1
- pytz ==2019.3
- scikit-learn ==0.22.2
- scipy ==1.4.1
- seaborn ==0.10.0
- six ==1.14.0
- tqdm ==4.43.0
- xgboost ==1.0.1
- cython *
- hdbscan *
- matplotlib *
- npyscreen *
- numpy *
- onnxruntime *
- openpyxl *
- pandas *
- scikit_learn *
- scipy *
- seaborn *
- tqdm *
- xgboost *