DOC: Update whats_new for 0.9.0 (scikit-optimize#1075)

* DOC: Update whats_new for 0.9.0

* MNT: Bump __version__ to v0.9rc1

* MNT: Redact .travis.yml for minimal credits use

.travis.yml

@@ -16,32 +16,11 @@ env:
 
 matrix:
   include:
-    # Linux environment to test scikit-learn against numpy and scipy master
-    # installed from their CI wheels in a virtualenv with the Python
-    # interpreter provided by travis.
-    - name: "Python 3.6 - scikit 0.20.4"
-      python: "3.6"
-      env: DISTRIB="conda" PYTHON_VERSION="3.6"
-           NUMPY_VERSION="1.13.3" SCIPY_VERSION="0.19.1" PYAML_VERSION="16.9.0"
-           SCIKIT_LEARN_VERSION="0.20.4" MATPLOTLIB_VERSION="2.0.0" COVERAGE="false"
-           JOBLIB_VERSION="0.11"
-    - name: "Python 3.6 - scikit 0.21.3"
-      python: "3.6"
-      env: DISTRIB="conda" PYTHON_VERSION="3.6"
-           NUMPY_VERSION="1.14.0" SCIPY_VERSION="1.0.0" PYAML_VERSION="16.12.0"
-           SCIKIT_LEARN_VERSION="0.21.3" MATPLOTLIB_VERSION="2.0.0" COVERAGE="false"
-           JOBLIB_VERSION="0.11"
-    - name: "Python 3.7 - scikit 0.22.1"
+    - name: "Python 3.7  - scikit 0.24.2"
       python: "3.7"
-      env: DISTRIB="conda" PYTHON_VERSION="3.7"
-         NUMPY_VERSION="1.16.0" SCIPY_VERSION="1.2.0" PYAML_VERSION="17.8.0"
-         SCIKIT_LEARN_VERSION="0.22.1" MATPLOTLIB_VERSION="*" COVERAGE="true"
-         JOBLIB_VERSION="0.13"
-    - name: "Python 3.8  - scikit 0.23.2"
-      python: "3.8"
-      env: DISTRIB="conda" PYTHON_VERSION="3.8.1" COVERAGE="false"
+      env: DISTRIB="conda" PYTHON_VERSION="3.7" COVERAGE="false"
            NUMPY_VERSION="1.19.1" SCIPY_VERSION="1.5.2" PYAML_VERSION="20.4.0"
-           SCIKIT_LEARN_VERSION="0.23.2" JOBLIB_VERSION="0.16.0"
+           SCIKIT_LEARN_VERSION="0.24.2" JOBLIB_VERSION="0.16.0"
     - name: "Python 3.7 - sdist check"
       python: "3.7"
       env: DISTRIB="conda" PYTHON_VERSION="3.7"
@@ -64,7 +43,7 @@ deploy:
   on:
     tags: true
     repo: scikit-optimize/scikit-optimize
-    condition: "$PYTHON_VERSION = 3.6"
+    condition: "$PYTHON_VERSION = 3.7"
   skip_cleanup: true
   skip_existing: true
   password:

doc/whats_new/v0.9.rst

@@ -6,17 +6,23 @@
 
 Version 0.9.0
 =============
-**In Development**
+**October 2021**
 
-:mod:`skopt.searchcv`
----------------------
+- |Fix| :obj:`skopt.learning.gaussian_process.gpr.GaussianProcessRegressor`
+  for sklearn >= 0.23. :pr:`943`
+- Change `skip=` parameter in :obj:`skopt.sampler.sobol.Sobol`
+  initial point generator. :pr:`955`
+- |Feature| :obj:`skopt.callbacks.HollowIterationsStopper` callback. :pr:`917`
+- |Feature| :obj:`skopt.callbacks.ThresholdStopper` callback. :pr:`1000`
 - |Fix| Fix :obj:`skopt.searchcv.BayesSearchCV` for scikit-learn >= 0.24.
   :pr:`988`
 - |API| Deprecate :class:`skopt.searchcv.BayesSearchCV` parameter `iid=`.
-    :pr:`988`
-
-:mod:`skopt.learning.gaussian_process.gpr`
-------------------------------------------
-- |Fix| Fix :class:`skopt.learning.gaussian_process.gpr.GaussianProcessRegressor`
-  for scikit-learn >= 1.0
-  :pr:`1063`
+  :pr:`988`
+- |Fix| NumPy deprecation errors. :pr:`1023`
+- |Fix| issue with :class:`skopt.optimizer.optimizer.Optimizer` not being
+  garbage-collectable. :pr:`1029`
+- |Fix| version check in
+  :class:`skopt.learning.gaussian_process.gpr.GaussianProcessRegressor`
+  for scikit-learn >= 1.0. :pr:`1063`
+- Minor documentation improvements.
+- Various small bugs and fixes.

skopt/__init__.py

@@ -29,7 +29,7 @@
 # Dev branch marker is: 'X.Y.dev' or 'X.Y.devN' where N is an integer.
 # 'X.Y.dev0' is the canonical version of 'X.Y.dev'
 #
-__version__ = "0.9.dev0"
+__version__ = "0.9rc1"
 
 if __SKOPT_SETUP__:
     import sys