Subkey |
Default |
Options |
---|---|---|
fastr |
True |
True, False |
fastr_plugin |
LinearExecution |
Any fastr execution plugin . |
classifiers |
SVM |
SVM , SVR, SGD, SGDR, RF, LDA, QDA, ComplementND, GaussianNB, LR, RFR, Lasso, ElasticNet. All are estimators from sklearn |
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 |