Metadata-Version: 2.1
Name: sgp
Version: 0.2.6
Summary: Sparse gaussian process regression
Home-page: https://github.com/marnikitta/sgp
Author: Nikita Marshalkin
Author-email: marnikitta@gmail.com
License: UNKNOWN
Description: # SGP
        
        Simple gaussian process regression
        
        ## Installation
        
        `pip install sgp`
        
        ## Getting started
        
        ```python
        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)
        ```
        
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
