.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "examples\1-tutorials\tutorial.py"
.. LINE NUMBERS ARE GIVEN BELOW.
.. only:: html
.. note::
:class: sphx-glr-download-link-note
:ref:`Go to the end <sphx_glr_download_examples_1-tutorials_tutorial.py>`
to download the full example code
.. rst-class:: sphx-glr-example-title
.. _sphx_glr_examples_1-tutorials_tutorial.py:
Getting started with Visual Bayesic
===================================
Check out the tutorial.xircuit file to see the visual representation of the code below.
from argparse import ArgumentParser
.. GENERATED FROM PYTHON SOURCE LINES 8-74
.. rst-class:: sphx-glr-horizontal
*
.. image-sg:: /examples/1-tutorials/images/sphx_glr_tutorial_001.png
:alt: tutorial
:srcset: /examples/1-tutorials/images/sphx_glr_tutorial_001.png
:class: sphx-glr-multi-img
*
.. image-sg:: /examples/1-tutorials/images/sphx_glr_tutorial_002.png
:alt: Likelihood mean , Likelihood mean , Likelihood std, Likelihood std
:srcset: /examples/1-tutorials/images/sphx_glr_tutorial_002.png
:class: sphx-glr-multi-img
*
.. image-sg:: /examples/1-tutorials/images/sphx_glr_tutorial_003.png
:alt: Likelihood mean , Likelihood mean , Likelihood std, Likelihood std
:srcset: /examples/1-tutorials/images/sphx_glr_tutorial_003.png
:class: sphx-glr-multi-img
*
.. image-sg:: /examples/1-tutorials/images/sphx_glr_tutorial_004.png
:alt: Likelihood mean , Likelihood mean , Likelihood std, Likelihood std
:srcset: /examples/1-tutorials/images/sphx_glr_tutorial_004.png
:class: sphx-glr-multi-img
*
.. image-sg:: /examples/1-tutorials/images/sphx_glr_tutorial_005.png
:alt: Likelihood mean , Likelihood std
:srcset: /examples/1-tutorials/images/sphx_glr_tutorial_005.png
:class: sphx-glr-multi-img
*
.. image-sg:: /examples/1-tutorials/images/sphx_glr_tutorial_006.png
:alt: tutorial
:srcset: /examples/1-tutorials/images/sphx_glr_tutorial_006.png
:class: sphx-glr-multi-img
.. rst-class:: sphx-glr-script-out
.. code-block:: none
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Executing: ArvizObject
C:\Users\MigueldelaVarga\PycharmProjects\VisualBayesic\venv\lib\site-packages\arviz\data\io_pyro.py:157: UserWarning: Could not get vectorized trace, log_likelihood group will be omitted. Check your model vectorization or set log_likelihood=False
warnings.warn(
Executing: PlotPrior
Executing: PlotTrace
Executing: PlotDensity
Executing: PlotNormalLikelihoodJoy
Setting Backend To: AvailableBackends.numpy
Finished Executing
|
.. code-block:: default
from argparse import ArgumentParser
from xai_components.base import SubGraphExecutor
from xai_components.xai_plotting.probabilistic_plot import PlotDensity, PlotNormalLikelihoodJoy, PlotPrior, ArvizObject, PlotTrace, VisualizeModelGraph
from xai_components.xai_probabilistic_models.probabilistic_models_I import PyroModel
from xai_components.xai_probability_distributions.probabilistic_distributions import GammaSampler, NormalSampler
from xai_components.xai_pyro.probabilistic_node import FullInference
def main(args):
ctx = {}
ctx['args'] = args
c_0 = VisualizeModelGraph()
c_1 = NormalSampler()
c_2 = NormalSampler()
c_3 = FullInference()
c_4 = ArvizObject()
c_5 = PlotNormalLikelihoodJoy()
c_6 = GammaSampler()
c_7 = PlotDensity()
c_8 = PlotTrace()
c_9 = PlotPrior()
c_10 = PyroModel()
c_0.model_function = c_10.model
c_0.model_function = c_10.model
c_0.model_function = c_10.model
c_1.name.value = 'Likelihood\n'
c_1.mean = c_2.sample
c_1.std = c_6.sample
c_1.obs.value = [2.12, 2.06, 2.08, 2.05]
c_2.name.value = 'Likelihood mean\n'
c_2.mean.value = 2.07
c_2.std.value = 0.08
c_3.model = c_10.model
c_3.num_samples.value = 1000
c_4.mcmc = c_3.mcmc
c_4.prior_predictive_values = c_3.prior_predictive
c_4.posterior_predictive_values = c_3.posterior_predictive
c_5.az_data = c_4.az_data
c_5.mean_sample_name.value = 'Likelihood mean\n'
c_5.std_sample_name.value = 'Likelihood std'
c_5.y_sample_name.value = 'Likelihood\n'
c_5.n_samples.value = 19
c_6.name.value = 'Likelihood std'
c_6.concentration.value = 3.3
c_6.rate.value = 1.2
c_7.az_data = c_4.az_data
c_8.az_data = c_4.az_data
c_9.az_data = c_4.az_data
c_10.arg1 = c_1.sample
c_0.next = c_3
c_1.next = c_10
c_2.next = c_6
c_3.next = c_4
c_4.next = c_9
c_5.next = None
c_6.next = c_1
c_7.next = c_5
c_8.next = c_7
c_9.next = c_8
c_10.next = c_0
next_component = c_2
while next_component:
next_component = next_component.do(ctx)
if __name__ == '__main__':
parser = ArgumentParser()
main(parser.parse_args())
print('\nFinished Executing')
.. rst-class:: sphx-glr-timing
**Total running time of the script:** (0 minutes 12.333 seconds)
.. _sphx_glr_download_examples_1-tutorials_tutorial.py:
.. only:: html
.. container:: sphx-glr-footer sphx-glr-footer-example
.. container:: sphx-glr-download sphx-glr-download-python
:download:`Download Python source code: tutorial.py <tutorial.py>`
.. container:: sphx-glr-download sphx-glr-download-jupyter
:download:`Download Jupyter notebook: tutorial.ipynb <tutorial.ipynb>`
.. only:: html
.. rst-class:: sphx-glr-signature
`Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_