Add notebook on timeseries, covid

_doc/notebooks/timeseries/README.txt

@@ -0,0 +1,7 @@
+Timeseries
+==========
+
+Ou séries temporelles.
+
+.. contents::
+    :local:

_doc/sphinxdoc/source/blog/2021/2021-01-28_plan.rst

@@ -100,7 +100,7 @@
       en annulant les coefficients : :ref:`Lasso <2020-02-07sklapirst>`.
 
     **Un peu plus de détails sur la séance 2**
-    
+
     * `Valeurs manquantes (cheatsheet)
       <https://www.math.univ-toulouse.fr/~besse/Wikistat/pdf/st-m-app-idm.pdf>`_,
       `Valeurs manquantes (notebooks)
@@ -152,3 +152,13 @@
     * Mise en production... `docker <https://www.docker.com/>`_,
       `ONNX <https://onnx.ai/>`_ ?
     * attention, transformers
+
+    **Un peu plus de détails sur la séance 3**
+
+    * :ref:`tscovidrst`
+    * :ref:`tspredrst`
+    * `Single Spectrum Analysis (SSA)
+      <http://www.xavierdupre.fr/app/ensae_teaching_cs/helpsphinx3/notebooks/timeseries_ssa.html>`_
+    * `aftercovid <http://www.xavierdupre.fr/app/aftercovid/helpsphinx/index.html>`_
+    * `Algo - simulation COVID
+      <http://www.xavierdupre.fr/app/ensae_teaching_cs/helpsphinx/notebooks/2020_covid.html>`_

_doc/sphinxdoc/source/lectures/seriestemp.rst

@@ -4,3 +4,6 @@ Séries temporelles
 
 .. contents::
     :local:
+
+    ../notebooks/ts_covid
+    ../notebooks/ts_pred

_unittests/ut_documentation/test_nb_ts_covid.py

@@ -0,0 +1,44 @@
+# -*- coding: utf-8 -*-
+"""
+@brief      test log(time=14s)
+"""
+import os
+import unittest
+from pyquickhelper.loghelper import fLOG
+from pyquickhelper.pycode import add_missing_development_version
+from pyquickhelper.ipythonhelper import test_notebook_execution_coverage
+import papierstat
+
+
+class TestNotebookTsCovid(unittest.TestCase):
+
+    def setUp(self):
+        add_missing_development_version(["jyquickhelper"], __file__, hide=True)
+
+    def test_notebook_ts_covid(self):
+        fLOG(
+            __file__,
+            self._testMethodName,
+            OutputPrint=__name__ == "__main__")
+
+        self.assertTrue(papierstat is not None)
+        folder = os.path.join(os.path.dirname(__file__),
+                              "..", "..", "_doc", "notebooks", "timeseries")
+        test_notebook_execution_coverage(
+            __file__, "ts_covid", folder, 'papierstat', copy_files=[], fLOG=fLOG)
+
+    def test_notebook_ts_pred(self):
+        fLOG(
+            __file__,
+            self._testMethodName,
+            OutputPrint=__name__ == "__main__")
+
+        self.assertTrue(papierstat is not None)
+        folder = os.path.join(os.path.dirname(__file__),
+                              "..", "..", "_doc", "notebooks", "timeseries")
+        test_notebook_execution_coverage(
+            __file__, "ts_pred", folder, 'papierstat', copy_files=[], fLOG=fLOG)
+
+
+if __name__ == "__main__":
+    unittest.main()

_unittests/ut_mltricks/test_sklearn_category.py

@@ -150,7 +150,7 @@ def test_wines(self):
         acc2 = accuracy_score(y_test, clr.predict(X_test))
         self.assertGreater(acc1, 0.45)
         self.assertGreater(acc2, 0.45)
-        self.assertGreater(acc1, acc2 * 0.99)
+        self.assertGreater(acc1, acc2 * 0.999)
 
 
 if __name__ == "__main__":

requirements.txt

@@ -23,6 +23,7 @@ statsmodels
 toolz
 
 # other
+aftercovid
 branca
 dbfread
 cairocffi
@@ -34,6 +35,7 @@ coverage
 dtreeviz
 folium
 google_compute_engine
+hmmlearn
 jyquickhelper>=0.3
 lightgbm
 mlinsights>=0.2
@@ -45,6 +47,7 @@ pyensae
 pylint
 pyquickhelper>=1.10
 pyyaml
+ruptures
 spacy
 shapely
 sphinx-bootstrap-theme