.. _sphx_glr_examples_08_mocap6:

.. _examples_mocap6_index:

Small dataset of 6 motion-capture sequences
-------------------------------------------

Variational training of mixture models and HMM models with various Gaussian observation models.



.. raw:: html

    <div class="sphx-glr-thumbnails">


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="How to train mixtures and HMMs with various observation models on the same dataset.">

.. only:: html

  .. image:: /examples/08_mocap6/images/thumb/sphx_glr_plot-01-demo=many_models_same_data_thumb.png
    :alt: Comparing models for sequential data

  :ref:`sphx_glr_examples_08_mocap6_plot-01-demo=many_models_same_data.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Comparing models for sequential data</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="How to try merge moves efficiently for time-series datasets.">

.. only:: html

  .. image:: /examples/08_mocap6/images/thumb/sphx_glr_plot-02-demo=merge_moves_for_hdphmm_thumb.png
    :alt: Merge moves with HDP-HMM

  :ref:`sphx_glr_examples_08_mocap6_plot-02-demo=merge_moves_for_hdphmm.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Merge moves with HDP-HMM</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="Train a sticky HDP-HMM model on small motion capture data, then visualize the MAP state sequenc...">

.. only:: html

  .. image:: /examples/08_mocap6/images/thumb/sphx_glr_plot-03-demo=interpret_hdphmm_params_and_run_viterbi_thumb.png
    :alt: Visualizing learned state sequences and transition probabilities

  :ref:`sphx_glr_examples_08_mocap6_plot-03-demo=interpret_hdphmm_params_and_run_viterbi.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Visualizing learned state sequences and transition probabilities</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="Train a sticky HMM model with auto-regressive Gaussian likelihoods on small motion capture data...">

.. only:: html

  .. image:: /examples/08_mocap6/images/thumb/sphx_glr_plot-04-demo_ar_gaussian_prior_hypers_thumb.png
    :alt: Visualizing learned state sequences and transition probabilities

  :ref:`sphx_glr_examples_08_mocap6_plot-04-demo_ar_gaussian_prior_hypers.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Visualizing learned state sequences and transition probabilities</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="Quick demonstration that you can easily use bnpy to perform mixed membership modeling of groupe...">

.. only:: html

  .. image:: /examples/08_mocap6/images/thumb/sphx_glr_plot-05-topic_model_gaussian_likelihood_thumb.png
    :alt: Topic models with Gaussian likelihoods

  :ref:`sphx_glr_examples_08_mocap6_plot-05-topic_model_gaussian_likelihood.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Topic models with Gaussian likelihoods</div>
    </div>


.. raw:: html

    </div>


.. toctree::
   :hidden:

   /examples/08_mocap6/plot-01-demo=many_models_same_data
   /examples/08_mocap6/plot-02-demo=merge_moves_for_hdphmm
   /examples/08_mocap6/plot-03-demo=interpret_hdphmm_params_and_run_viterbi
   /examples/08_mocap6/plot-04-demo_ar_gaussian_prior_hypers
   /examples/08_mocap6/plot-05-topic_model_gaussian_likelihood