From f9bd449b06815cfba0e250bd648c4e740f8b5857 Mon Sep 17 00:00:00 2001
From: Baptiste Bauvin <baptiste.bauvin@lis-lab.fr>
Date: Wed, 27 Mar 2019 12:01:56 -0400
Subject: [PATCH] mioncqgp randomsearch compatible
---
.../MonoviewClassifiers/MinCQGraalpy.py | 8 ++++++++
.../MonoMultiViewClassifiers/utils/execution.py | 2 +-
2 files changed, 9 insertions(+), 1 deletion(-)
diff --git a/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/MinCQGraalpy.py b/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/MinCQGraalpy.py
index b638c6fb..b1bf1dfe 100644
--- a/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/MinCQGraalpy.py
+++ b/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/MinCQGraalpy.py
@@ -331,8 +331,10 @@ class MinCQGraalpy(RegularizedBinaryMinCqClassifier, BaseMonoviewClassifier):
self.param_names = ["mu"]
self.distribs = [CustomUniform(loc=0.5, state=2.0, multiplier="e-"),
]
+ self.n_stumps_per_attribute = n_stumps_per_attribute
self.classed_params = []
self.weird_strings = {}
+ self.random_state = random_state
if "nbCores" not in kwargs:
self.nbCores = 1
else:
@@ -342,6 +344,12 @@ class MinCQGraalpy(RegularizedBinaryMinCqClassifier, BaseMonoviewClassifier):
"""Used to know if the classifier can return label probabilities"""
return True
+ def set_params(self, **params):
+ self.mu = params["mu"]
+
+ def get_params(self, deep=True):
+ return {"random_state":self.random_state, "mu":self.mu}
+
def getInterpret(self, directory, y_test):
interpret_string = ""
# interpret_string += "Train C_bound value : "+str(self.cbound_train)
diff --git a/multiview_platform/MonoMultiViewClassifiers/utils/execution.py b/multiview_platform/MonoMultiViewClassifiers/utils/execution.py
index 9a3a91d4..2fc233f2 100644
--- a/multiview_platform/MonoMultiViewClassifiers/utils/execution.py
+++ b/multiview_platform/MonoMultiViewClassifiers/utils/execution.py
@@ -125,7 +125,7 @@ def parseTheArgs(arguments):
groupAdaboostPregen = parser.add_argument_group('AdaboostPregen arguments')
groupAdaboostPregen.add_argument('--AdP_n_est', metavar='INT', type=int,
action='store', help='Number of estimators',
- default=2)
+ default=100)
groupAdaboostPregen.add_argument('--AdP_b_est', metavar='STRING', action='store',
help='Estimators',
default='DecisionTreeClassifier')
--
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