Novatium — Cosmic-Grade Machine Learning with NovaRegressor and NovaClassifier
Project description
Novatium
Cosmic-Grade Machine Learning — supercharged Base+Delta models for regression and classification.
Install (from TestPyPI first)
pip install -i https://test.pypi.org/simple/ novatium
(Once released on PyPI: pip install novatium)
Quickstart
NovaRegressor
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 NovaClassifier
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 = NovaClassifier(base_model=LogisticRegression(max_iter=1000), delta_model=GradientBoostingRegressor(random_state=42))
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.
Project details
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