Fix SVR degree hyperparameter (#1308)

* only active if kernel == 'poly' * adapt the metadata to reflect this
automl · Jan 25, 2022 · 450cb16 · 450cb16
1 parent f9db3c1
commit 450cb16
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diff --git a/autosklearn/metalearning/files/mean_absolute_error_regression_dense/configurations.csv b/autosklearn/metalearning/files/mean_absolute_error_regression_dense/configurations.csv
diff --git a/autosklearn/metalearning/files/mean_absolute_error_regression_sparse/configurations.csv b/autosklearn/metalearning/files/mean_absolute_error_regression_sparse/configurations.csv
diff --git a/autosklearn/metalearning/files/mean_squared_error_regression_dense/configurations.csv b/autosklearn/metalearning/files/mean_squared_error_regression_dense/configurations.csv
diff --git a/autosklearn/metalearning/files/mean_squared_error_regression_sparse/configurations.csv b/autosklearn/metalearning/files/mean_squared_error_regression_sparse/configurations.csv
diff --git a/autosklearn/metalearning/files/mean_squared_log_error_regression_dense/configurations.csv b/autosklearn/metalearning/files/mean_squared_log_error_regression_dense/configurations.csv
diff --git a/autosklearn/metalearning/files/mean_squared_log_error_regression_sparse/configurations.csv b/autosklearn/metalearning/files/mean_squared_log_error_regression_sparse/configurations.csv
diff --git a/autosklearn/metalearning/files/median_absolute_error_regression_dense/configurations.csv b/autosklearn/metalearning/files/median_absolute_error_regression_dense/configurations.csv
diff --git a/autosklearn/metalearning/files/median_absolute_error_regression_sparse/configurations.csv b/autosklearn/metalearning/files/median_absolute_error_regression_sparse/configurations.csv
diff --git a/autosklearn/metalearning/files/r2_regression_dense/configurations.csv b/autosklearn/metalearning/files/r2_regression_dense/configurations.csv
diff --git a/autosklearn/metalearning/files/r2_regression_sparse/configurations.csv b/autosklearn/metalearning/files/r2_regression_sparse/configurations.csv
diff --git a/autosklearn/metalearning/files/root_mean_squared_error_regression_dense/configurations.csv b/autosklearn/metalearning/files/root_mean_squared_error_regression_dense/configurations.csv
diff --git a/autosklearn/metalearning/files/root_mean_squared_error_regression_sparse/configurations.csv b/autosklearn/metalearning/files/root_mean_squared_error_regression_sparse/configurations.csv
diff --git a/autosklearn/pipeline/components/regression/libsvm_svr.py b/autosklearn/pipeline/components/regression/libsvm_svr.py
@@ -2,7 +2,7 @@
 import sys
 
 from ConfigSpace.configuration_space import ConfigurationSpace
-from ConfigSpace.conditions import InCondition
+from ConfigSpace.conditions import InCondition, EqualsCondition
 from ConfigSpace.hyperparameters import UniformFloatHyperparameter, \
     UniformIntegerHyperparameter, CategoricalHyperparameter, \
     UnParametrizedHyperparameter
@@ -147,13 +147,12 @@ def get_hyperparameter_search_space(dataset_properties=None):
         cs.add_hyperparameters([C, kernel, degree, gamma, coef0, shrinking,
                                tol, max_iter, epsilon])
 
-        degree_depends_on_kernel = InCondition(child=degree, parent=kernel,
-                                               values=('poly', 'rbf', 'sigmoid'))
+        degree_depends_on_poly = EqualsCondition(degree, kernel, "poly")
         gamma_depends_on_kernel = InCondition(child=gamma, parent=kernel,
                                               values=('poly', 'rbf'))
         coef0_depends_on_kernel = InCondition(child=coef0, parent=kernel,
                                               values=('poly', 'sigmoid'))
-        cs.add_conditions([degree_depends_on_kernel, gamma_depends_on_kernel,
+        cs.add_conditions([degree_depends_on_poly, gamma_depends_on_kernel,
                            coef0_depends_on_kernel])
 
         return cs