make xgboost as require dep

docs/index.html

@@ -204,5 +204,5 @@
 
 <!--
 MkDocs version : 1.1.2
-Build Date UTC : 2020-10-26 14:32:58.841000+00:00
+Build Date UTC : 2020-11-30 16:21:44.159769+00:00
 -->

docs/installing/index.html

@@ -162,20 +162,20 @@ <h1 id="installation">Installation</h1>
 <li>
 <p><a href="https://joblib.readthedocs.io/en/latest/">joblib</a></p>
 </li>
+<li>
+<p><a href="https://xgboost.readthedocs.io/en/latest/">xgboost</a></p>
+</li>
 </ul>
 <p>Most of the necessary Python packages can be installed via the <a href="https://www.anaconda.com/products/individual">Anaconda Python distribution</a>, which we strongly recommend that you use. <strong>Support for Python 3.4 and below has been officially dropped since version 0.11.0.</strong></p>
 <p>You can install TPOT using <code>pip</code> or <code>conda-forge</code>.</p>
 <h2 id="pip">pip</h2>
 <p>NumPy, SciPy, scikit-learn, pandas, joblib, and PyTorch can be installed in Anaconda via the command:</p>
 <pre><code class="language-Shell">conda install numpy scipy scikit-learn pandas joblib pytorch
 </code></pre>
-<p>DEAP, update_checker, tqdm and stopit can be installed with <code>pip</code> via the command:</p>
-<pre><code class="language-Shell">pip install deap update_checker tqdm stopit
-</code></pre>
-<p><strong>Optionally</strong>, you can install <a href="https://github.com/dmlc/xgboost">XGBoost</a> if you would like TPOT to use the eXtreme Gradient Boosting models. XGBoost is entirely optional, and TPOT will still function normally without XGBoost if you do not have it installed. <strong>Windows users: pip installation may not work on some Windows environments, and it may cause unexpected errors.</strong></p>
-<pre><code class="language-Shell">pip install xgboost
+<p>DEAP, update_checker, tqdm, stopit and xgboost can be installed with <code>pip</code> via the command:</p>
+<pre><code class="language-Shell">pip install deap update_checker tqdm stopit xgboost
 </code></pre>
-<p>If you have issues installing XGBoost, check the <a href="http://xgboost.readthedocs.io/en/latest/build.html">XGBoost installation documentation</a>.</p>
+<p><strong>Windows users: pip installation may not work on some Windows environments, and it may cause unexpected errors.</strong> If you have issues installing XGBoost, check the <a href="http://xgboost.readthedocs.io/en/latest/build.html">XGBoost installation documentation</a>.</p>
 <p>If you plan to use <a href="http://dask.pydata.org/en/latest/">Dask</a> for parallel training, make sure to install <a href="https://docs.dask.org/en/latest/install.html">dask[delay] and dask[dataframe]</a> and <a href="https://dask-ml.readthedocs.io/en/latest/install.html">dask_ml</a>. <strong>It is noted that dask-ml&gt;=1.7 requires distributed&gt;=2.4.0 and scikit-learn&gt;=0.23.0.</strong></p>
 <pre><code class="language-Shell">pip install dask[delayed] dask[dataframe] dask-ml fsspec&gt;=0.3.3 distributed&gt;=2.10.0
 </code></pre>

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>2020-10-26</lastmod>
+     <lastmod>2020-11-30</lastmod>
      <changefreq>daily</changefreq>
     </url><url>
      <loc>http://epistasislab.github.io/tpot/installing/</loc>
-     <lastmod>2020-10-26</lastmod>
+     <lastmod>2020-11-30</lastmod>
      <changefreq>daily</changefreq>
     </url><url>
      <loc>http://epistasislab.github.io/tpot/using/</loc>
-     <lastmod>2020-10-26</lastmod>
+     <lastmod>2020-11-30</lastmod>
      <changefreq>daily</changefreq>
     </url><url>
      <loc>http://epistasislab.github.io/tpot/api/</loc>
-     <lastmod>2020-10-26</lastmod>
+     <lastmod>2020-11-30</lastmod>
      <changefreq>daily</changefreq>
     </url><url>
      <loc>http://epistasislab.github.io/tpot/examples/</loc>
-     <lastmod>2020-10-26</lastmod>
+     <lastmod>2020-11-30</lastmod>
      <changefreq>daily</changefreq>
     </url><url>
      <loc>http://epistasislab.github.io/tpot/contributing/</loc>
-     <lastmod>2020-10-26</lastmod>
+     <lastmod>2020-11-30</lastmod>
      <changefreq>daily</changefreq>
     </url><url>
      <loc>http://epistasislab.github.io/tpot/releases/</loc>
-     <lastmod>2020-10-26</lastmod>
+     <lastmod>2020-11-30</lastmod>
      <changefreq>daily</changefreq>
     </url><url>
      <loc>http://epistasislab.github.io/tpot/citing/</loc>
-     <lastmod>2020-10-26</lastmod>
+     <lastmod>2020-11-30</lastmod>
      <changefreq>daily</changefreq>
     </url><url>
      <loc>http://epistasislab.github.io/tpot/support/</loc>
-     <lastmod>2020-10-26</lastmod>
+     <lastmod>2020-11-30</lastmod>
      <changefreq>daily</changefreq>
     </url><url>
      <loc>http://epistasislab.github.io/tpot/related/</loc>
-     <lastmod>2020-10-26</lastmod>
+     <lastmod>2020-11-30</lastmod>
      <changefreq>daily</changefreq>
     </url>
 </urlset>

docs_sources/installing.md

@@ -20,6 +20,8 @@ TPOT is built on top of several existing Python libraries, including:
 
 * [joblib](https://joblib.readthedocs.io/en/latest/)
 
+* [xgboost](https://xgboost.readthedocs.io/en/latest/)
+
 Most of the necessary Python packages can be installed via the [Anaconda Python distribution](https://www.anaconda.com/products/individual), which we strongly recommend that you use. **Support for Python 3.4 and below has been officially dropped since version 0.11.0.**
 
 
@@ -33,19 +35,13 @@ NumPy, SciPy, scikit-learn, pandas, joblib, and PyTorch can be installed in Anac
 conda install numpy scipy scikit-learn pandas joblib pytorch
 ```
 
-DEAP, update_checker, tqdm and stopit can be installed with `pip` via the command:
-
-```Shell
-pip install deap update_checker tqdm stopit
-```
-
-**Optionally**, you can install [XGBoost](https://github.com/dmlc/xgboost) if you would like TPOT to use the eXtreme Gradient Boosting models. XGBoost is entirely optional, and TPOT will still function normally without XGBoost if you do not have it installed. **Windows users: pip installation may not work on some Windows environments, and it may cause unexpected errors.**
+DEAP, update_checker, tqdm, stopit and xgboost can be installed with `pip` via the command:
 
 ```Shell
-pip install xgboost
+pip install deap update_checker tqdm stopit xgboost
 ```
 
-If you have issues installing XGBoost, check the [XGBoost installation documentation](http://xgboost.readthedocs.io/en/latest/build.html).
+**Windows users: pip installation may not work on some Windows environments, and it may cause unexpected errors.** If you have issues installing XGBoost, check the [XGBoost installation documentation](http://xgboost.readthedocs.io/en/latest/build.html).
 
 If you plan to use [Dask](http://dask.pydata.org/en/latest/) for parallel training, make sure to install [dask[delay] and dask[dataframe]](https://docs.dask.org/en/latest/install.html) and [dask_ml](https://dask-ml.readthedocs.io/en/latest/install.html). **It is noted that dask-ml>=1.7 requires distributed>=2.4.0 and scikit-learn>=0.23.0.**
 

requirements.txt

@@ -8,3 +8,4 @@ update-checker>=0.16
 stopit>=1.1.2
 pandas>=0.24.2
 joblib>=0.13.2
+xgboost>=0.90

setup.py

@@ -43,9 +43,9 @@ def calculate_version():
                     'tqdm>=4.36.1',
                     'stopit>=1.1.1',
                     'pandas>=0.24.2',
-                    'joblib>=0.13.2'],
+                    'joblib>=0.13.2',
+                    'xgboost>=0.90'],
     extras_require={
-        'xgboost': ['xgboost==0.90'],
         'skrebate': ['skrebate>=0.3.4'],
         'mdr': ['scikit-mdr>=0.4.4'],
         'dask': ['dask>=0.18.2',

tpot/_version.py

@@ -23,4 +23,4 @@
 
 """
 
-__version__ = '0.11.6.post1'
+__version__ = '0.11.6.post2'