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GitHub / MindSetLib / Insolver
Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MindSetLib%2FInsolver
Stars: 18
Forks: 3
Open Issues: 0
License: mit
Language: Jupyter Notebook
Repo Size: 41 MB
Dependencies:
61
Created: about 4 years ago
Updated: 1 day ago
Last pushed: 1 day ago
Last synced: 1 day ago
Topics: auto-ml, automated-machine-learning, automl, bayesian-optimization, data-science, elyra, elyra-community, feature-engineering, hyperparameter-optimization, insurance, insurance-claims, insurance-company, insurance-scoring, insurance-team, low-code, machine-learning
Files
Dependencies
- actions/checkout v3 composite
- actions/setup-python v4 composite
- pypa/gh-action-pypi-publish release/v1 composite
- actions/checkout v3 composite
- actions/setup-python v4 composite
- codecov/codecov-action v3 composite
- actions/checkout v3 composite
- actions/setup-python v4 composite
- python 3.8 build
- black >=22.6.0 development
- flake8 >=4.0.1 development
- locust ==2.9.0 development
- mypy >=0.971 development
- pre-commit >=2.19.0 development
- pytest >=6.2.5 development
- pytest-cov >=2.12.1 development
- tox >=3.24.3 development
- catboost >=1.0.0
- dill >=0.3.4
- django >=3.2.
- django ==3.2.
- djangorestframework ==3.13.1
- fastapi >=0.65.2
- flask >=2.0.2
- gunicorn >=20.0.4
- h2o >=3.36.0.
- hyperopt >=0.2.5
- jinja2 >=3.0
- lightgbm >=3.2.0
- lime >=0.2.0.1
- matplotlib >=3.4.3
- numpy >=1.21.0
- numpy *
- pandas >=1.2.0
- pandas >=1.2.0,<1.4.0
- pandas-profiling ==3.1.0
- plotly >=5.3.1
- psycopg2-binary ==2.9.3
- pydantic ==1.8.2
- scikit-learn >=1.0
- scikit-learn >=1.0,<1.1.0
- scipy >=1.6.0,<1.8.0
- scipy >=1.6.0
- seaborn ==0.11.2
- shap >=0.39.0
- statsmodels ==0.13.1
- sympy ==1.9
- typing_extensions >=4.0.
- uvicorn >=0.13.3
- xgboost >=1.5.0