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automl

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Enhance README.md: restructure content for clarity, add detailed pipeline explanation, and improve project documentation

7f19b9e about 2 months ago

core
Enhance AutoML functionality with class label handling, improved feature engineering, and refined prediction outputs. Update FastAPI integration for better state management and progress reporting during training and tuning processes. Improve Streamlit UI for displaying class probabilities in predictions. about 2 months ago
ensemble
Enhance AutoML functionality with class label handling, improved feature engineering, and refined prediction outputs. Update FastAPI integration for better state management and progress reporting during training and tuning processes. Improve Streamlit UI for displaying class probabilities in predictions. about 2 months ago
explainability
Implement AutoML pipeline with ingestion, preprocessing, model training, hyperparameter tuning, and explainability. Enhance FastAPI integration for async training and prediction, and improve Streamlit UI for user configuration. about 2 months ago
models
Enhance AutoML functionality with class label handling, improved feature engineering, and refined prediction outputs. Update FastAPI integration for better state management and progress reporting during training and tuning processes. Improve Streamlit UI for displaying class probabilities in predictions. about 2 months ago
serving
Add Docker support, requirements, and Streamlit UI enhancements about 2 months ago
tracking
Implement model explainability using SHAP, including global importance, summary plots, and single-row waterfalls. Add abstract base model class for model wrappers, create a model zoo for various estimators based on dataset size and task type, and develop a cross-validation trainer for model evaluation. Integrate MLflow for experiment tracking, logging dataset stats, model results, and SHAP plots. Introduce Optuna-based hyperparameter tuning for top models from the leaderboard, with parameter suggestion spaces for various algorithms. about 2 months ago
tuning
Enhance AutoML functionality with class label handling, improved feature engineering, and refined prediction outputs. Update FastAPI integration for better state management and progress reporting during training and tuning processes. Improve Streamlit UI for displaying class probabilities in predictions. about 2 months ago
ui
Add Docker support, requirements, and Streamlit UI enhancements about 2 months ago
.dockerignore

141 Bytes
Add Docker support, requirements, and Streamlit UI enhancements about 2 months ago
.gitignore

543 Bytes
Add Docker support, requirements, and Streamlit UI enhancements about 2 months ago
Dockerfile

700 Bytes
Add Docker support, requirements, and Streamlit UI enhancements about 2 months ago
README.md

14.9 kB
Enhance README.md: restructure content for clarity, add detailed pipeline explanation, and improve project documentation about 2 months ago
automl.py

17.9 kB
Enhance AutoML functionality with class label handling, improved feature engineering, and refined prediction outputs. Update FastAPI integration for better state management and progress reporting during training and tuning processes. Improve Streamlit UI for displaying class probabilities in predictions. about 2 months ago
report.py

10.4 kB
Implement AutoML pipeline with ingestion, preprocessing, model training, hyperparameter tuning, and explainability. Enhance FastAPI integration for async training and prediction, and improve Streamlit UI for user configuration. about 2 months ago
requirements-deploy.txt

137 Bytes
Add Docker support, requirements, and Streamlit UI enhancements about 2 months ago
requirements.txt

158 Bytes
Add initial project structure and core modules for AutoML system about 2 months ago
start.sh

368 Bytes
Add Docker support, requirements, and Streamlit UI enhancements about 2 months ago