Version Bump: 0.7.1 (#398)

* updated test setup and added new version

* removed advanced tests

* updated readme

Author: amit-sharma

.github/workflows/python-package.yml

@@ -38,7 +38,7 @@ jobs:
         flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
     - name: Test with pytest
       run: |
-        pytest
+        pytest -v -m "not advanced"
     - name: Check package consistency with twine
       run: |
         python setup.py check sdist bdist_wheel

README.rst

@@ -37,20 +37,11 @@ For a quick introduction to causal inference, check out `amit-sharma/causal-infe
 
 Documentation for DoWhy is available at `microsoft.github.io/dowhy <https://microsoft.github.io/dowhy/>`_.
 
-.. raw:: html
-
-   <details>
-   <summary><a><strong><em>Table of Contents</em></strong></summary>
-   
 .. i here comment toctree::
 .. i here comment   :maxdepth: 4
 .. i here comment   :caption: Contents:
-.. contents::
-
-.. raw:: html
+.. contents:: **Contents**
 
-   </details>
- 
 News
 -----
 **2022.03.13**: **Call for Content**. 

docs/source/code_repo.rst

@@ -6,6 +6,22 @@ DoWhy is hosted on GitHub.
 You can browse the code in a html-friendly format `here
 <https://github.com/Microsoft/dowhy>`_.
 
+v0.7.1: Added Graph refuter. Support for dagitty graphs and external estimators
+--------------------------------------------------------------------------------------
+
+* Graph refuter with conditional independence tests to check whether data conforms to the assumed causal graph
+
+* Better docs for estimators by adding the method-specific parameters directly in its own init method
+
+* Support use of custom external estimators 
+
+* Consistent structure for init_params for dowhy and econml estimators
+
+* Add support for Dagitty graphs
+
+* Bug fixes for GLM model, causal model with no confounders, and hotel case-study notebook
+
+Thank you @EgorKraevTransferwise, @ae-foster, @anusha0409 for your contributions! 
 
 v0.7: Better Refuters for unobserved confounders and placebo treatment
 ----------------------------------------------------------------------

docs/source/conf.py

@@ -24,7 +24,7 @@
 author = 'Amit Sharma, Emre Kiciman'
 
 # The short X.Y version
-version = '0.7'
+version = '0.7.1'
 # The full version, including alpha/beta/rc tags
 release = ''
 

dowhy/VERSION

@@ -1 +1 @@
-0.7
+0.7.1

pyproject.toml

@@ -0,0 +1,4 @@
+[tool.pytest.ini_options]
+markers = [
+    "advanced: not be to run each time. only on package updates."
+]

setup.py

@@ -39,7 +39,7 @@
     license='MIT',
     long_description=long_description,
     url='https://github.com/microsoft/dowhy',  # Optional
-    download_url='https://github.com/microsoft/dowhy/archive/v0.7.tar.gz',
+    download_url='https://github.com/microsoft/dowhy/archive/v0.7.1.tar.gz',
     author='Amit Sharma, Emre Kiciman',
     classifiers=[  # Optional
         'Development Status :: 4 - Beta',

tests/test_notebooks.py

@@ -21,7 +21,9 @@
                       "dowhy_refuter_notebook.ipynb",
                       "DoWhy-The Causal Story Behind Hotel Booking Cancellations.ipynb",  # needs xgboost too
                       # will be removed
-                      "dowhy_optimize_backdoor_example.ipynb"
+                      "dowhy_optimize_backdoor_example.ipynb",
+                      # applied notebook, not necessary to test each time
+                      "dowhy_ranking_methods.ipynb"
                       ]
 
 # Adding the dowhy root folder to the python path so that jupyter notebooks
@@ -62,14 +64,16 @@ def test_confounder_notebook():
     nb, errors = _notebook_run(NOTEBOOKS_PATH+"dowhy_confounder_example.ipynb")
     assert errors = []
 """
-parameter_list=[]
+parameter_list = []
 for nb in notebooks_list:
     if nb in advanced_notebooks:
         param = pytest.param(nb,
-                marks=[pytest.mark.skip, pytest.mark.advanced],
-                id=nb)
+                        marks=[pytest.mark.advanced, pytest.mark.notebook],
+                        id=nb)
     else:
-        param = pytest.param(nb, id=nb)
+        param = pytest.param(nb,
+                        marks=[pytest.mark.notebook],
+                        id=nb)
     parameter_list.append(param)
 
 @pytest.mark.parametrize("notebook_filename", parameter_list)