add seqlearn module for Windows

sdpython · Mar 20, 2016 · 59cff0d · 59cff0d
1 parent 9ad6f9f
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diff --git a/_doc/sphinxdoc/source/blog/2016/2016-03-19_new_modules.rst b/_doc/sphinxdoc/source/blog/2016/2016-03-19_new_modules.rst
@@ -25,6 +25,8 @@
 
     * `pystruct <https://pystruct.github.io/>`_: 
       learning Structured Prediction in Python.
+    * `seqlearn <https://github.com/larsmans/seqlearn>`_: 
+      sequence classification toolkit for Python. It is designed to extend scikit-learn and offer as similar as possible an API.
     * `py-earth <https://github.com/jcrudy/py-earth>`_: 
       a Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines algorithm, in the style of scikit-learn.
     * `hmmlearn <https://github.com/hmmlearn/hmmlearn>`_: 

diff --git a/src/pymyinstall/packaged/packaged_config_4_ml.py b/src/pymyinstall/packaged/packaged_config_4_ml.py
@@ -404,8 +404,8 @@ def ensae_set():
                       purpose="Learning Structured Prediction in Python"),
         ModuleInstall("py-earth", "wheel", mname="pyearth", usage="ML", source="2",
                       purpose="A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines algorithm, in the style of scikit-learn."),
-        # ModuleInstall("seqlearn", "wheel", usage="ML", source="2",
-        #              purpose=""),
+        ModuleInstall("seqlearn", "wheel", usage="ML", source="2",
+                      purpose="sequence classification toolkit for Python"),
         ModuleInstall("hmmlearn", "wheel", usage="ML",
                       purpose="Hidden Markov Models in Python, with scikit-learn like API"),
         ModuleInstall("gplearn", "pip", usage="ML",