======
Models
======

.. contents::
   :depth: 2

Models Base Class
=================
.. automodule:: pylearn2.models.model
    :members:

K-means
=======
.. automodule:: pylearn2.models.kmeans
    :members:

MLP
===
.. automodule:: pylearn2.models.mlp
    :members:
    
Principal Component Analysis
============================
.. automodule:: pylearn2.models.pca
    :members:

RBM
===
.. automodule:: pylearn2.models.rbm
    :members:

DBM
===
.. automodule:: pylearn2.models.dbm
    :members:

Ising
=====
.. automodule:: pylearn2.models.dbm.ising
    :members:

Auto Encoder
============
.. automodule:: pylearn2.models.autoencoder
    :members:

Maxout
======
.. automodule:: pylearn2.models.maxout
    :members:

Differentiable sparse coding
============================
.. automodule:: pylearn2.models.differentiable_sparse_coding
    :members:

GSN
===
.. automodule:: pylearn2.models.gsn
    :members:

Independent multiclass logistic
===============================
.. automodule:: pylearn2.models.independent_multiclass_logistic
    :members:

Local coordinate coding
=======================
.. automodule:: pylearn2.models.local_coordinate_coding
    :members:

Multivariate normal distribution
================================
.. automodule:: pylearn2.models.mnd
    :members:

Normalized EBM
==============
.. automodule:: pylearn2.models.normalized_ebm
    :members:

S3C
===
.. automodule:: pylearn2.models.s3c
    :members:

Softmax Regression
==================
.. automodule:: pylearn2.models.softmax_regression
    :members:

Sparse Autoencoder
==================
.. automodule:: pylearn2.models.sparse_autoencoder
    :members:

SVM
===
.. automodule:: pylearn2.models.svm
    :members: