[tmva][pymva] Change default algorithm for AdaBoost to SAMME

Since scikit version 1.4 the SAMME.R algorithm is deprecated and it has been removed since version 1.6.
Change default to use SAMME
See https://scikit-learn.org/1.5/modules/generated/sklearn.ensemble.AdaBoostClassifier.html

tmva/pymva/src/MethodPyAdaBoost.cxx

@@ -67,7 +67,7 @@ MethodPyAdaBoost::MethodPyAdaBoost(const TString &jobName,
    fBaseEstimator("None"),
    fNestimators(50),
    fLearningRate(1.0),
-   fAlgorithm("SAMME.R"),
+   fAlgorithm("SAMME"),
    fRandomState("None")
 {
 }
@@ -79,7 +79,7 @@ MethodPyAdaBoost::MethodPyAdaBoost(DataSetInfo &theData,
    fBaseEstimator("None"),
    fNestimators(50),
    fLearningRate(1.0),
-   fAlgorithm("SAMME.R"),
+   fAlgorithm("SAMME"),
    fRandomState("None")
 {
 }
@@ -116,12 +116,13 @@ void MethodPyAdaBoost::DeclareOptions()
       ``learning_rate``. There is a trade-off between ``learning_rate`` and\
       ``n_estimators``.");
 
-   DeclareOptionRef(fAlgorithm, "Algorithm", "{'SAMME', 'SAMME.R'}, optional (default='SAMME.R')\
+   DeclareOptionRef(fAlgorithm, "Algorithm", "{'SAMME', 'SAMME.R'}, optional (default='SAMME')\
       If 'SAMME.R' then use the SAMME.R real boosting algorithm.\
       ``base_estimator`` must support calculation of class probabilities.\
       If 'SAMME' then use the SAMME discrete boosting algorithm.\
       The SAMME.R algorithm typically converges faster than SAMME,\
-      achieving a lower test error with fewer boosting iterations.");
+      achieving a lower test error with fewer boosting iterations.\
+      'SAME.R' is deprecated since version 1.4 and removed since 1.6");
 
    DeclareOptionRef(fRandomState, "RandomState", "int, RandomState instance or None, optional (default=None)\
       If int, random_state is the seed used by the random number generator;\
@@ -309,11 +310,11 @@ std::vector<Double_t> MethodPyAdaBoost::GetMvaValues(Long64_t firstEvt, Long64_t
    Py_DECREF(result);
 
    if (logProgress) {
-      Log() << kINFO 
+      Log() << kINFO
             << "Elapsed time for evaluation of " << nEvents <<  " events: "
             << timer.GetElapsedTime() << "       " << Endl;
    }
-   
+
    return mvaValues;
 }