Novatium — Cosmic-Grade Machine Learning with NovaAutoRegressor and NovaAutoClassifier for Tabular Data
Project description
Novatium
Cosmic-Grade Machine Learning — supercharged Base+Delta models for regression and classification.
`pip install novatium`
## Quickstart
### NovaRegressor
```python
from novatium import NovaAutoRegressor
from sklearn.datasets import load_diabetes
from sklearn.linear_model import LinearRegression
from sklearn.ensemble import RandomForestRegressor
X, y = load_diabetes(return_X_y=True)
model = NovaAutoRegressor()
model.fit(X, y)
pred = model.predict(X[:5])
print(pred)
NovaClassifier
from novatium import NovaAutoClassifier
from sklearn.datasets import load_breast_cancer
from sklearn.linear_model import LogisticRegression
from sklearn.ensemble import GradientBoostingRegressor
X, y = load_breast_cancer(return_X_y=True)
clf = NovaAutoClassifier()
clf.fit(X, y)
proba = clf.predict_proba(X[:5])
print(proba)
Why Novatium?
- Drop-in Base+Delta pattern to uplift strong baselines.
- Sklearn-compatible: works with pipelines, grid search, etc.
- Domain-agnostic: tabular now; CV/NLP-ready APIs.
License
Apache-2.0 — see LICENSE.
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