Merge pull request #1159 from EpistasisLab/development

Version 0.11.7

.appveyor.yml

@@ -20,8 +20,9 @@ install:
   - conda info -a
   - conda create -q -n test-environment python=%PYTHON_VERSION% numpy scipy scikit-learn nose cython pandas joblib
   - activate test-environment
-  - pip install deap tqdm update_checker stopit xgboost dask[delayed] dask[dataframe] cloudpickle==0.5.6 fsspec>=0.3.3 dask_ml==%DASK_ML_VERSION%
+  - pip install deap tqdm update_checker stopit xgboost dask[delayed] dask[dataframe] cloudpickle>=1.5.0 fsspec>=0.3.3 dask_ml==%DASK_ML_VERSION%
   - pip install torch==1.3.1+cpu -f https://download.pytorch.org/whl/torch_stable.html
+  - pip install imbalanced-learn
 
 
 test_script:

ci/.travis_install.sh

@@ -38,8 +38,8 @@ conda create -n testenv --yes python=$PYTHON_VERSION pip nose \
 source activate testenv
 
 pip install deap tqdm update_checker stopit \
-    dask[delayed] dask[dataframe] xgboost cloudpickle==0.5.6 \
-    dask_ml==$DASK_ML_VERSION fsspec>=0.3.3 torch
+    dask[delayed] dask[dataframe] xgboost cloudpickle>=1.5.0 \
+    dask_ml==$DASK_ML_VERSION fsspec>=0.3.3 torch imbalanced-learn
 
 if [[ "$COVERAGE" == "true" ]]; then
     pip install coverage coveralls
@@ -58,4 +58,5 @@ python -c "import tqdm; print('tqdm %s' % tqdm.__version__)"
 python -c "import pandas; print('pandas %s' % pandas.__version__)"
 python -c "import stopit; print('stopit %s' % stopit.__version__)"
 python -c "import torch; print('torch %s' % torch.__version__)"
+python -c "import imblearn; print('torch %s' % imblearn.__version__)"
 python setup.py build_ext --inplace

docs/index.html

@@ -204,5 +204,5 @@
 
 <!--
 MkDocs version : 1.1.2
-Build Date UTC : 2020-11-30 16:21:44.159769+00:00
+Build Date UTC : 2021-01-06 15:09:50.337968+00:00
 -->

docs/releases/index.html

@@ -74,6 +74,8 @@
                 <ul class="current">
                     <li class="toctree-l1 current"><a class="reference internal current" href="./">Release Notes</a>
     <ul class="current">
+    <li class="toctree-l2"><a class="reference internal" href="#version-0117">Version 0.11.7</a>
+    </li>
     <li class="toctree-l2"><a class="reference internal" href="#version-0116">Version 0.11.6</a>
     </li>
     <li class="toctree-l2"><a class="reference internal" href="#version-0115">Version 0.11.5</a>
@@ -167,6 +169,13 @@
             <div class="section">
 
                 <h1 id="release-notes">Release Notes</h1>
+<h2 id="version-0117">Version 0.11.7</h2>
+<ul>
+<li>Fix compatibility issue with scikit-learn 0.24 and xgboost 1.3.0</li>
+<li>Fix a bug causing that TPOT does not work when classifying more than 50 classes</li>
+<li>Add initial support <code>Resampler</code> from <code>imblearn</code></li>
+<li>Fix minor bugs</li>
+</ul>
 <h2 id="version-0116">Version 0.11.6</h2>
 <ul>
 <li>Fix a bug causing point mutation function does not work properly with using <code>template</code> option</li>

docs/sitemap.xml

@@ -1,43 +1,43 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"><url>
      <loc>http://epistasislab.github.io/tpot/</loc>
-     <lastmod>2020-11-30</lastmod>
+     <lastmod>2021-01-06</lastmod>
      <changefreq>daily</changefreq>
     </url><url>
      <loc>http://epistasislab.github.io/tpot/installing/</loc>
-     <lastmod>2020-11-30</lastmod>
+     <lastmod>2021-01-06</lastmod>
      <changefreq>daily</changefreq>
     </url><url>
      <loc>http://epistasislab.github.io/tpot/using/</loc>
-     <lastmod>2020-11-30</lastmod>
+     <lastmod>2021-01-06</lastmod>
      <changefreq>daily</changefreq>
     </url><url>
      <loc>http://epistasislab.github.io/tpot/api/</loc>
-     <lastmod>2020-11-30</lastmod>
+     <lastmod>2021-01-06</lastmod>
      <changefreq>daily</changefreq>
     </url><url>
      <loc>http://epistasislab.github.io/tpot/examples/</loc>
-     <lastmod>2020-11-30</lastmod>
+     <lastmod>2021-01-06</lastmod>
      <changefreq>daily</changefreq>
     </url><url>
      <loc>http://epistasislab.github.io/tpot/contributing/</loc>
-     <lastmod>2020-11-30</lastmod>
+     <lastmod>2021-01-06</lastmod>
      <changefreq>daily</changefreq>
     </url><url>
      <loc>http://epistasislab.github.io/tpot/releases/</loc>
-     <lastmod>2020-11-30</lastmod>
+     <lastmod>2021-01-06</lastmod>
      <changefreq>daily</changefreq>
     </url><url>
      <loc>http://epistasislab.github.io/tpot/citing/</loc>
-     <lastmod>2020-11-30</lastmod>
+     <lastmod>2021-01-06</lastmod>
      <changefreq>daily</changefreq>
     </url><url>
      <loc>http://epistasislab.github.io/tpot/support/</loc>
-     <lastmod>2020-11-30</lastmod>
+     <lastmod>2021-01-06</lastmod>
      <changefreq>daily</changefreq>
     </url><url>
      <loc>http://epistasislab.github.io/tpot/related/</loc>
-     <lastmod>2020-11-30</lastmod>
+     <lastmod>2021-01-06</lastmod>
      <changefreq>daily</changefreq>
     </url>
 </urlset>

docs_sources/releases.md

@@ -1,5 +1,13 @@
 # Release Notes
 
+## Version 0.11.7
+
+- Fix compatibility issue with scikit-learn 0.24 and xgboost 1.3.0
+- Fix a bug causing that TPOT does not work when classifying more than 50 classes
+- Add initial support `Resampler` from `imblearn`
+- Fix minor bugs
+
+
 ## Version 0.11.6
 
 - Fix a bug causing point mutation function does not work properly with using `template` option

requirements.txt

@@ -2,6 +2,7 @@ deap>=1.2
 nose==1.3.7
 numpy>=1.16.3
 scikit-learn>=0.22.0
+imbalanced-learn>=0.7.0
 scipy>=1.3.1
 tqdm>=4.36.1
 update-checker>=0.16

setup.py

@@ -52,6 +52,7 @@ def calculate_version():
                  'distributed>=1.22.1',
                  'dask-ml>=1.0.0'],
         'torch': ['torch==1.3.1'],
+	'imblearn': ['imbalanced-learn>=0.7.0']
     },
     classifiers=[
         'Intended Audience :: Science/Research',

tpot/_version.py

@@ -23,4 +23,4 @@
 
 """
 
-__version__ = '0.11.6.post3'
+__version__ = '0.11.7'