new metamodels (#1517)

* add_new_mm * fix * add_rf * fix * fix_and_black * fix * reco * fix * fix * DEmetamodels * merge main into mmg (#1520) * weighted moo differential evolution (#1518) * wmmo * fix * fix * fix * fix * fix * fix * fix * lastfix * Update machinelearning.rst (#1519)
facebookresearch · Jun 20, 2023 · 7353689 · 7353689
1 parent 125e245
commit 7353689
Showing 1 changed file with 24 additions and 0 deletions.
diff --git a/nevergrad/optimization/optimizerlib.py b/nevergrad/optimization/optimizerlib.py
@@ -1784,6 +1784,30 @@ def __init__(
     "MetaModelOnePlusOne", register=True
 )
 
+MetaModelDE = ParametrizedMetaModel(multivariate_optimizer=DE).set_name("MetaModelDE", register=True)
+NeuralMetaModelDE = ParametrizedMetaModel(algorithm="neural", multivariate_optimizer=DE).set_name(
+    "NeuralMetaModelDE", register=True
+)
+SVMMetaModelDE = ParametrizedMetaModel(algorithm="svr", multivariate_optimizer=DE).set_name(
+    "SVMMetaModelDE", register=True
+)
+RFMetaModelDE = ParametrizedMetaModel(algorithm="rf", multivariate_optimizer=DE).set_name(
+    "RFMetaModelDE", register=True
+)
+
+MetaModelTwoPointsDE = ParametrizedMetaModel(multivariate_optimizer=TwoPointsDE).set_name(
+    "MetaModelTwoPointsDE", register=True
+)
+NeuralMetaModelTwoPointsDE = ParametrizedMetaModel(
+    algorithm="neural", multivariate_optimizer=TwoPointsDE
+).set_name("NeuralMetaModelTwoPointsDE", register=True)
+SVMMetaModelTwoPointsDE = ParametrizedMetaModel(algorithm="svr", multivariate_optimizer=TwoPointsDE).set_name(
+    "SVMMetaModelTwoPointsDE", register=True
+)
+RFMetaModelTwoPointsDE = ParametrizedMetaModel(algorithm="rf", multivariate_optimizer=TwoPointsDE).set_name(
+    "RFMetaModelTwoPointsDE", register=True
+)
+
 
 @registry.register
 class SQPCMA(Portfolio):