added comments for models module and adjusted setup

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Max Zwiessele 2013-11-28 10:31:17 +00:00
parent 622f2e29aa
commit 25635571af
3 changed files with 14 additions and 3 deletions

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@ -1,9 +1,17 @@
'''
Created on 14 Nov 2013
GPy Models
==========
@author: maxz
Implementations for common models used in GP regression and classification.
The different models can be viewed in :mod:`GPy.models_modules`, which holds
detailed explanations for the different models.
:warning: This module is a convienince module for endusers to use. For developers
see :mod:`GPy.models_modules`, which holds the implementions for each model.
'''
__updated__ = '2013-11-28'
from models_modules.bayesian_gplvm import BayesianGPLVM
from models_modules.gp_regression import GPRegression
from models_modules.gp_classification import GPClassification#; _gp_classification = gp_classification ; del gp_classification

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@ -15,6 +15,9 @@ For a quick start, you can have a look at one of the tutorials:
You may also be interested by some examples in the GPy/examples folder.
The detailed Developers Documentation is listed below
=====================================================
Contents:
.. toctree::

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@ -18,7 +18,7 @@ setup(name = 'GPy',
license = "BSD 3-clause",
keywords = "machine-learning gaussian-processes kernels",
url = "http://sheffieldml.github.com/GPy/",
packages = ['GPy', 'GPy.core', 'GPy.kern', 'GPy.util', 'GPy._models', 'GPy.inference', 'GPy.examples', 'GPy.likelihoods', 'GPy.testing', 'GPy.util.latent_space_visualizations', 'GPy.util.latent_space_visualizations.controllers', 'GPy.likelihoods.noise_models', 'GPy.kern.parts', 'GPy.mappings'],
packages = ['GPy', 'GPy.core', 'GPy.kern', 'GPy.util', 'GPy.models_modules', 'GPy.inference', 'GPy.examples', 'GPy.likelihoods', 'GPy.testing', 'GPy.util.latent_space_visualizations', 'GPy.util.latent_space_visualizations.controllers', 'GPy.likelihoods.noise_models', 'GPy.kern.parts', 'GPy.mappings'],
package_dir={'GPy': 'GPy'},
package_data = {'GPy': ['GPy/examples', 'gpy_config.cfg']},
py_modules = ['GPy.__init__'],