A deep, layered ML/AI toolkit — the machine learning companion to ThaiTruck.
Project description
ramentruck
RamenTruck is a deep, layered ML/AI toolkit — the expert-crafted machine learning companion to ThaiTruck.
Ramen takes time, precision, and expertise. So does good ML.
Planned Modules
| Module | Role |
|---|---|
broth |
Base model training/fitting wrapper — the foundation |
tare |
Hyperparameter tuning (GridSearchCV, RandomizedSearchCV, Optuna) |
soft_boiled_egg |
Cross-validation (k-fold, stratified, time-series splits) |
chashu |
Model serialization & persistence with versioning metadata |
nori |
Explainability — SHAP values, feature importance, PDP |
miso |
Experiment tracking — MLflow / W&B wrapper |
tonkotsu |
Deep learning interface — PyTorch / TensorFlow architectures |
Install
pip install ramentruck # core (sklearn + numpy only)
pip install ramentruck[deep] # + tonkotsu (torch/tensorflow)
pip install ramentruck[explain] # + nori (shap)
pip install ramentruck[tracking] # + miso (mlflow/wandb)
Fleet
RamenTruck is part of the food truck fleet:
- ThaiTruck — batch DataFrame cleaning & processing
- RamenTruck — ML/AI toolkit (this package, in development)
- TacoTruck — streaming ingestion & API connectors (planned)
Package name secured. Full release coming soon.
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