SGP
Simple gaussian process regression
Installation
pip install sgp
Getting started
from sgp.variational import VariationalGP as VGP
import numpy as np
X_train = np.linspace(0, 5, 1000)
y_train = np.sin(X_train) * X_train
model = VGP().fit(X_train.reshape(-1, 1), y_train)
X_test = np.linspace(0, 10, 100)
y_test, std_test = model.predict(X_test.reshape(-1, 1), return_std=True)
1 maintainer
Metadata
1 maintainer
Release files for sgp 0.3.6
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| File | Size | Uploaded | Provenance | Actions |
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| sgp-0.3.6.tar.gz | 297.0 kB | Without provenance | Details for sgp-0.3.6.tar.gz |
Release files / sgp-0.3.6.tar.gz
| Download URL | sgp-0.3.6.tar.gz |
|---|---|
| Size | 297.0 kB |
| Tags | Source |
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