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Subkey              Default                                     Options                                                                                                                                                          
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fastr               True                                        True, False                                                                                                                                                      
fastr_plugin        LinearExecution                             Any `fastr execution plugin <https://fastr.readthedocs.io/en/develop/_autogen/fastr.reference.html#executionplugin-reference/>`_ .                               
classifiers         SVM, SVM, SVM, RF, LR, LDA, QDA, GaussianNB SVM , SVR, SGD, SGDR, RF, LDA, QDA, ComplementND, GaussianNB, LR, RFR, Lasso, ElasticNet. All are estimators from `sklearn <https://scikit-learn.org/stable//>`_ 
max_iter            100000                                      Integer                                                                                                                                                          
SVMKernel           poly, rbf, linear                           poly, linear, rbf                                                                                                                                                
SVMC                0, 6                                        Two Integers: loc and scale                                                                                                                                      
SVMdegree           1, 6                                        Two Integers: loc and scale                                                                                                                                      
SVMcoef0            0, 1                                        Two Integers: loc and scale                                                                                                                                      
SVMgamma            -5, 5                                       Two Integers: loc and scale                                                                                                                                      
RFn_estimators      10, 90                                      Two Integers: loc and scale                                                                                                                                      
RFmin_samples_split 2, 3                                        Two Integers: loc and scale                                                                                                                                      
RFmax_depth         5, 5                                        Two Integers: loc and scale                                                                                                                                      
LRpenalty           l1, l2, elasticnet                          none, l2, l1                                                                                                                                                     
LRC                 0.01, 1.0                                   Two Integers: loc and scale                                                                                                                                      
LR_solver           lbfgs, saga                                 Comma separated list of strings, for the options see https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html              
LR_l1_ratio         0, 1                                        Float between 0.0 and 1.0.                                                                                                                                       
LDA_solver          svd, lsqr, eigen                            svd, lsqr, eigen                                                                                                                                                 
LDA_shrinkage       -5, 5                                       Two Integers: loc and scale                                                                                                                                      
QDA_reg_param       -5, 5                                       Two Integers: loc and scale                                                                                                                                      
ElasticNet_alpha    -5, 5                                       Two Integers: loc and scale                                                                                                                                      
ElasticNet_l1_ratio 0, 1                                        Two Integers: loc and scale                                                                                                                                      
SGD_alpha           -5, 5                                       Two Integers: loc and scale                                                                                                                                      
SGD_l1_ratio        0, 1                                        Two Integers: loc and scale                                                                                                                                      
SGD_loss            hinge, squared_hinge, modified_huber        hinge, squared_hinge, modified_huber                                                                                                                             
SGD_penalty         none, l2, l1                                none, l2, l1                                                                                                                                                     
CNB_alpha           0, 1                                        Two Integers: loc and scale                                                                                                                                      
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