=================== ==================================== =================================================================================================================================================================
Subkey              Default                              Options                                                                                                                                                          
=================== ==================================== =================================================================================================================================================================
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 , 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                                 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           l2, l1                               none, l2, l1                                                                                                                                                     
LRC                 0.01, 1.0                            Two Integers: loc and scale                                                                                                                                      
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                                                                                                                                      
=================== ==================================== =================================================================================================================================================================