add integrate and monotonic regression

Author: thierrymoudiki

index.html

@@ -91,7 +91,7 @@ <h1>Techtonique</h1>
               <br>
               Currently available:
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-                <li> <a href="nnetsauce/index.html">nnetsauce for Python</a> &nbsp; and  <a href="nnetsauce_r/">nnetsauce for R</a> &nbsp; Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks &nbsp; and &nbsp; <a href="https://pepy.tech/project/nnetsauce"><img alt="Downloads" src="https://static.pepy.tech/badge/nnetsauce" /></a> <a href="https://anaconda.org/conda-forge/nnetsauce"> <img src="https://anaconda.org/conda-forge/nnetsauce/badges/downloads.svg" /> </a> </li>
+                <li> <a href="nnetsauce/index.html">nnetsauce for Python</a> &nbsp; and  <a href="nnetsauce_r/">nnetsauce for R</a> &nbsp; Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks &nbsp; | &nbsp; <a href="https://pepy.tech/project/nnetsauce"><img alt="Downloads" src="https://static.pepy.tech/badge/nnetsauce" /></a> <a href="https://anaconda.org/conda-forge/nnetsauce"> <img src="https://anaconda.org/conda-forge/nnetsauce/badges/downloads.svg" /> </a> </li>
                 <li> <a href="mlsauce/index.html">mlsauce for Python</a> &nbsp; and &nbsp;  <a href="mlsauce_r/index.html">mlsauce for R</a> &nbsp; Miscellaneous Statistical/Machine Learning stuff &nbsp;|&nbsp; <a href="https://pepy.tech/project/mlsauce"><img alt="Downloads" src="https://static.pepy.tech/badge/mlsauce" /></a> <a href="https://anaconda.org/conda-forge/mlsauce"> <img src="https://anaconda.org/conda-forge/mlsauce/badges/downloads.svg" /> </a> </li>
                 <li> <a href="ahead/index.html">ahead (for R)</a>  &nbsp; and &nbsp; <a href="ahead_python/index.html">ahead (for Python)</a> &nbsp; Univariate and Multivariate time series forecasting &nbsp;|&nbsp; <a href="https://pepy.tech/project/ahead"><img alt="Downloads" src="https://static.pepy.tech/badge/ahead" /></a> <a href="https://anaconda.org/conda-forge/ahead_python"> <img src="https://anaconda.org/conda-forge/ahead_python/badges/downloads.svg" /> </a> </li>
                 <li> <a href="GPopt/index.html">gpopt</a> &nbsp; Bayesian optimization using Gaussian Process Regression &nbsp;|&nbsp; <a href="https://pepy.tech/project/gpopt"><img alt="Downloads" src="https://static.pepy.tech/badge/gpopt" /></a> </li>