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Commit 0ba52827 authored by 40b967d450cc73a5ec8d086a42cb7ff3's avatar 40b967d450cc73a5ec8d086a42cb7ff3
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exo5_python_fr.org: Fix sm.GLM for python3, fix hypothesis

parent bd5bf5c9
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module2/exo5/exo5_python_fr.org
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...@@ -80,8 +80,8 @@ dysfonctionnements, nous nous concentrons sur les expériences où au ...@@ -80,8 +80,8 @@ dysfonctionnements, nous nous concentrons sur les expériences où au
moins un joint a été défectueux. moins un joint a été défectueux.
#+begin_src python :results value :session *python* :exports both #+begin_src python :results value :session *python* :exports both
data = data[data.Malfunction>0] #data = data[data.Malfunction>0]
data #data
#+end_src #+end_src
#+RESULTS: #+RESULTS:
...@@ -136,7 +136,7 @@ data["Intercept"]=1 ...@@ -136,7 +136,7 @@ data["Intercept"]=1
# logit_model=sm.Logit(data["Frequency"],data[["Intercept","Temperature"]]).fit() # logit_model=sm.Logit(data["Frequency"],data[["Intercept","Temperature"]]).fit()
logmodel=sm.GLM(data['Frequency'], data[['Intercept','Temperature']], family=sm.families.Binomial(sm.families.links.logit)).fit() logmodel=sm.GLM(data['Frequency'], data[['Intercept','Temperature']], family=sm.families.Binomial(sm.families.links.logit())).fit()
logmodel.summary() logmodel.summary()
#+end_src #+end_src
......
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