Fix broken links to the gcm documentation page
Signed-off-by: Kailash Budhathoki <111277+kailashbuki@users.noreply.github.com>
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@ -54,8 +54,8 @@ News
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We have started adding support for graphical causal model-based inference (or in short GCM-based). At the moment,
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this includes support for interventions, counterfactuals, and attributing distribution changes. As part of this,
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we also added features for Shapley value estimation and independence tests. We're still in the process of fleshing
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everything out, including `documentation <https://py-why.github.io/dowhy/gcm/>`_. Some of it is already on `master
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<https://github.com/py-why/dowhy>`_, other parts are on feature branches (prefixed with ``gcm-``) with open
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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
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<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
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pull-requests, other parts will appear as new pull-requests in the next couple of weeks. Be sure to watch this space
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here as we quickly expand functionality and documentation.
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@ -204,7 +204,7 @@ GCM-based inference (experimental)
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----------------------------------
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Graphical causal model-based inference, or GCM-based inference for short, is an experimental addition to DoWhy. For
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details, check out the `documentation for the gcm sub-package <https://py-why.github.io/dowhy/gcm>`_. The basic
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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
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recipe for this API works as follows:
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.. code:: python
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@ -222,7 +222,7 @@ recipe for this API works as follows:
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# 3. Answering a causal query based on the SCM:
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results = gcm.<causal_query>(scm, ...)
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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>`_.
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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>`_.
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A high-level Pandas API
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