reviews

_posts/2024-12-05-dev-api.md

@@ -55,10 +55,9 @@ cycle warning.
 In the past few releases, we've slowly introduced more functionalities under this
 umbrella. `__sklearn_clone__` and `__sklearn_is_fitted__` are two examples.
 
-In the latest release, at the time of writing this post, we focused on the testing
-infrasutructure and estimator tag system. Estimator tags used to be private, and we
-were not sure about their design. In the 1.6 release, new tags are introduced and
-using them looks like the following:
+In the 1.6 release, we focused on the testing infrastructure and estimator tag system.
+Estimator tags used to be private, and we were not sure about their design. In the 1.6
+release, new tags are introduced and using them looks like the following:
 
 ```python
 from sklearn.base import BaseEstimator, ClassifierMixin
@@ -75,7 +74,7 @@ class MyEstimator(ClassifierMixin, BaseEstimator):
 ```
 
 The new tags mostly follow the same structure as the old tags, but there are certain
-changes to them. The main change is that the old `_xfail_checks` is no more present
+changes to them. The main change is that the old `_xfail_checks` is no longer present
 in the new tags. That tag was used to tell the common testing tools about the tests
 which are known to fail and are to be skipped. That information is now directly passed
 to the test functionalities. The old way of skipping a test was the following:
@@ -123,13 +122,13 @@ def test_with_parametrize_with_checks(estimator, check):
 ```
 
 While working on the testing infrastructure, we have also been working on improving our
-tests and that means in this release we had a particularly higher number of changes in
-their names and what they do. The changes should have made it easier for developers to
-fix issues with their estimators. Note that you can now pass `legacy=False` to both
+tests and that means in this release we had a particularly high number of changes in
+their names and what they do. The changes will make it easier for developers to fix
+issues with their estimators. Note that you can now pass `legacy=False` to both
 `check_estimator` and `parametrize_with_checks` to include only strictly API related
 tests.
 
-The above changes means developers need to updated their estimators and depending on
+The above changes mean developers need to update their estimators and depending on
 what they use, write scikit-learn version specific code to handle supporting multiple
 scikit-learn versions. To make that process easier, we've worked on a package called
 [`sklearn_compat`](https://github.com/sklearn-compat/sklearn-compat/). You can either