Metadata-Version: 2.1
Name: lsqfitgp
Version: 0.0.2
Summary: Gaussian processes in nonlinear least-squares fits
Home-page: https://github.com/Gattocrucco/lsqfitgp
Author: Giacomo Petrillo
Author-email: info@giacomopetrillo.com
License: UNKNOWN
Description: # lsqfitgp
        
        Module for manipulating gaussian processes. Features:
        
          * Use [gvar](https://github.com/gplepage/gvar) to keep track transparently of
            correlations between prior, data and posterior.
        
          * Fit a latent gaussian process in a nonlinear model with
            [lsqfit](https://github.com/gplepage/lsqfit).
            
          * [autograd](https://github.com/HIPS/autograd)-friendly.
          
          * Supports multidimensional structured non-numerical input with named
            dimensions.
            
          * Apply arbitrary linear transformations to the process.
          
          * Use dictionaries to manipulate hyperparameters and hyperpriors. Use
            `gvar.BufferDict` to transparently apply transformations.
            
          * Get a covariance matrix for the optimized hyperparameters.
          
        ## Installation
        
        ```
        pip install lsqfitgp
        ```
        
        ## Examples
        
        In the directory `examples` there are various scripts named with single letters
        (sorry for this nonsense notation). In an IPython shell, you can run
        `examples/RUNALL.ipy` to run all the examples and save the figures on files.
        
        ## Documentation
        
        There's no manual, only docstrings in the code.
        
        ## Tests
        
        The test code is in `tests`. Launch `pytest` in the repository to run all the
        tests. `pytest` can be installed with `pip install pytest`.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Development Status :: 4 - Beta
Classifier: Operating System :: OS Independent
Requires-Python: >=3.1
Description-Content-Type: text/markdown
