fix typos

docs/changelog.rst

@@ -12,18 +12,18 @@ Changelog
 Major Updates
 ~~~~~~~~~~~~~
 - Add feature importance and its visualization to UpliftDecisionTrees and UpliftRF by @yungmsh (`#220 <https://github.com/uber/causalml/pull/220>`_)
-- Add feature selection example with Filter methods by @paulluo0106 (`#223 <https://github.com/uber/causalml/pull/223>`_)
+- Add feature selection example with Filter methods by @paullo0106 (`#223 <https://github.com/uber/causalml/pull/223>`_)
 
 Minor Updates
 ~~~~~~~~~~~~~
-- Implement propensity model abstraction for common interface by @waltherg (`#223 <https://github.com/uber/causalml/pull/233>`_)
+- Implement propensity model abstraction for common interface by @waltherg (`#223 <https://github.com/uber/causalml/pull/223>`_)
 - Fix bug in BaseSClassifier and BaseXClassifier by @yungmsh and @ppstacy (`#217 <https://github.com/uber/causalml/pull/217>`_), (`#218 <https://github.com/uber/causalml/pull/218>`_)
-- Fix parentNodeSummary for UpliftDecisionTrees by @paulluo0106 (`#238 <https://github.com/uber/causalml/pull/238>`_)
-- Add pd.Series for propensity score condition check by @paulluo0106 (`#242 <https://github.com/uber/causalml/pull/242>`_)
+- Fix parentNodeSummary for UpliftDecisionTrees by @paullo0106 (`#238 <https://github.com/uber/causalml/pull/238>`_)
+- Add pd.Series for propensity score condition check by @paullo0106 (`#242 <https://github.com/uber/causalml/pull/242>`_)
 - Fix the uplift random forest prediction output by @ppstacy (`#236 <https://github.com/uber/causalml/pull/236>`_)
 - Add functions and methods to init for optimization module by @mwijaya3 (`#228 <https://github.com/uber/causalml/pull/228>`_)
 - Install GitHub Stale App to close inactive issues automatically @jeongyoonlee (`#237 <https://github.com/uber/causalml/pull/237>`_)
-- Update documentation by @deeplaunch, @ccrndn, @ppstacy(`#214 <https://github.com/uber/causalml/pull/214>`_, `#231 <https://github.com/uber/causalml/pull/223>`_, `#232 <https://github.com/uber/causalml/pull/223>`_)
+- Update documentation by @deeplaunch, @ccrndn, @ppstacy(`#214 <https://github.com/uber/causalml/pull/214>`_, `#231 <https://github.com/uber/causalml/pull/231>`_, `#232 <https://github.com/uber/causalml/pull/232>`_)
 
 
 
@@ -59,7 +59,7 @@ Major Updates
 
 Minor Updates
 ~~~~~~~~~~~~~
-- Fix typos and update documents by @paulluo0106, @khof312, @jeongyoonlee (`#150 <https://github.com/uber/causalml/pull/150>`_, `#151 <https://github.com/uber/causalml/pull/151>`_, `#155 <https://github.com/uber/causalml/pull/155>`_, `#163 <https://github.com/uber/causalml/pull/163>`_)
+- Fix typos and update documents by @paullo0106, @khof312, @jeongyoonlee (`#150 <https://github.com/uber/causalml/pull/150>`_, `#151 <https://github.com/uber/causalml/pull/151>`_, `#155 <https://github.com/uber/causalml/pull/155>`_, `#163 <https://github.com/uber/causalml/pull/163>`_)
 - Fix error in `UpliftTreeClassifier.kl_divergence()` for `pk == 1 or 0` by @jeongyoonlee (`#169 <https://github.com/uber/causalml/pull/169>`_)
 - Fix error in `BaseRRegressor.fit()` without propensity score input by @jeongyoonlee (`#170 <https://github.com/uber/causalml/pull/170>`_)
 
@@ -97,7 +97,7 @@ Special thanks to our new community contributors, Paul (`@paullo0106 <https://gi
 
 - Add `TMLELearner`, targeted maximum likelihood estimator to `inference.meta` by @huigangchen
 - Add an option to DGPs for regression to simulate imbalanced propensity distribution by @huigangchen
-- Fix incorrect edge connections, and add more information in the uplift tree plot by @paulluo0106
+- Fix incorrect edge connections, and add more information in the uplift tree plot by @paullo0106
 - Fix an installation error related to `Cython` and `numpy` by @FlorianWilhelm
 - Drop Python 2 support from `setup.py` by @jeongyoonlee
 - Update `causaltree.pyx` Cython code to be compatible with `scikit-learn>=0.21.0` by @jeongyoonlee