Fix broken links to the gcm documentation page

Signed-off-by: Kailash Budhathoki <111277+kailashbuki@users.noreply.github.com>
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Kailash Budhathoki 2022-08-18 08:49:39 +02:00 коммит произвёл Kailashbuki
Родитель fe22abab88
Коммит a38a03f8b2
1 изменённых файлов: 4 добавлений и 4 удалений

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@ -54,8 +54,8 @@ News
We have started adding support for graphical causal model-based inference (or in short GCM-based). At the moment,
this includes support for interventions, counterfactuals, and attributing distribution changes. As part of this,
we also added features for Shapley value estimation and independence tests. We're still in the process of fleshing
everything out, including `documentation <https://py-why.github.io/dowhy/gcm/>`_. Some of it is already on `master
<https://github.com/py-why/dowhy>`_, other parts are on feature branches (prefixed with ``gcm-``) with open
everything out, including `documentation <https://py-why.github.io/dowhy/main/user_guide/gcm_based_inference/index.html>`_. Some of it is already on `master
<https://py-why.github.io/dowhy/main/user_guide/gcm_based_inference/index.html>`_, other parts are on feature branches (prefixed with ``gcm-``) with open
pull-requests, other parts will appear as new pull-requests in the next couple of weeks. Be sure to watch this space
here as we quickly expand functionality and documentation.
@ -204,7 +204,7 @@ GCM-based inference (experimental)
----------------------------------
Graphical causal model-based inference, or GCM-based inference for short, is an experimental addition to DoWhy. For
details, check out the `documentation for the gcm sub-package <https://py-why.github.io/dowhy/gcm>`_. The basic
details, check out the `documentation for the gcm sub-package <https://py-why.github.io/dowhy/main/user_guide/gcm_based_inference/index.html>`_. The basic
recipe for this API works as follows:
.. code:: python
@ -222,7 +222,7 @@ recipe for this API works as follows:
# 3. Answering a causal query based on the SCM:
results = gcm.<causal_query>(scm, ...)
Where <causal_query> can be one of multiple functions explained in `Answering Causal Questions <https://py-why.github.io/dowhy/gcm/user_guide/answering_causal_questions/index.html>`_.
Where <causal_query> can be one of multiple functions explained in `Answering Causal Questions <https://py-why.github.io/dowhy/main/user_guide/gcm_based_inference/answering_causal_questions/index.html>`_.
A high-level Pandas API