Subkey |
Default |
Options |
---|---|---|
fastr |
True |
True, False |
fastr_plugin |
LinearExecution |
Any fastr execution plugin . |
classifiers |
SVM, RF, LR, LDA, QDA, GaussianNB, AdaBoostClassifier, XGBClassifier |
SVM , SVR, SGD, SGDR, RF, LDA, QDA, ComplementND, GaussianNB, AdaBoostClassifier, XGBClassifier, LR, RFR, Lasso, ElasticNet, LinR, Ridge, AdaBoostRegressor, XGBRegressor. All are estimators from sklearn |
max_iter |
100000 |
Integer |
SVMKernel |
linear, poly, rbf |
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, 0.99 |
Two Floats: 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 |
squared_loss, huber, epsilon_insensitive, squared_epsilon_insensitive |
hinge, squared_hinge, modified_huber |
SGD_penalty |
none, l2, l1 |
none, l2, l1 |
CNB_alpha |
0, 1 |
Two Integers: loc and scale |
AdaBoost_n_estimators |
10, 90 |
Two Integers: loc and scale |
AdaBoost_learning_rate |
0.01, 0.99 |
Two Floats: loc and scale |
XGB_boosting_rounds |
10, 90 |
Two Integers: loc and scale |
XGB_max_depth |
3, 12 |
Two Integers: loc and scale |
XGB_learning_rate |
0.01, 0.99 |
Two Floats: loc and scale |
XGB_gamma |
0.01, 9.99 |
Two Floats: loc and scale |
XGB_min_child_weight |
1, 6 |
Two Integers: loc and scale |
XGB_colsample_bytree |
0.3, 0.7 |
Two Floats: loc and scale |
LightGBM_num_leaves |
5, 95 |
Two Integers: loc and scale |
LightGBM_max_depth |
3, 12 |
Two Integers: loc and scale |
LightGBM_min_child_samples |
5, 45 |
Two Integers: loc and scale |
LightGBM_reg_alpha |
0.01, 0.99 |
Two Floats: loc and scale |
LightGBM_reg_lambda |
0.01, 0.99 |
Two Floats: loc and scale |
LightGBM_min_child_weight |
-7, 4 |
Two Integers: loc and scale |