From 3f149074044874cc2c1ef98a7a5a27c56a96909b Mon Sep 17 00:00:00 2001
From: Baptiste Bauvin <baptiste.bauvin@lis-lab.fr>
Date: Thu, 20 Jun 2019 16:19:22 -0400
Subject: [PATCH] Added list format for each monoview arg and removed R
computing on CGDesc
---
.../MonoMultiViewClassifiers/ExecClassif.py | 10 +-
.../Monoview/Additions/CGDescUtils.py | 3 +-
.../Monoview/ExecClassifMonoView.py | 1 -
.../MonoviewClassifiers/Adaboost.py | 2 +-
.../MonoviewClassifiers/AdaboostPregen.py | 2 +-
.../MonoviewClassifiers/AdaboostPregen10.py | 2 +-
.../MonoviewClassifiers/AdaboostPregenTree.py | 2 +-
.../MonoviewClassifiers/CGDesc.py | 2 +-
.../utils/execution.py | 184 +++++++++---------
9 files changed, 101 insertions(+), 107 deletions(-)
diff --git a/multiview_platform/MonoMultiViewClassifiers/ExecClassif.py b/multiview_platform/MonoMultiViewClassifiers/ExecClassif.py
index 07535d9d..e75934e9 100644
--- a/multiview_platform/MonoMultiViewClassifiers/ExecClassif.py
+++ b/multiview_platform/MonoMultiViewClassifiers/ExecClassif.py
@@ -161,8 +161,8 @@ def initMonoviewExps(benchmark, viewsDictionary, nbClass, kwargsInit):
argumentDictionaries["Monoview"] += gen_multiple_args_dictionnaries(nbClass, kwargsInit, classifier, viewName, viewIndex)
else:
arguments = {
- "args": {classifier + "KWARGS": kwargsInit[
- classifier + "KWARGSInit"], "feat": viewName,
+ "args": {classifier + "KWARGS": dict((key, value[0]) for key, value in kwargsInit[
+ classifier + "KWARGSInit"].items()), "feat": viewName,
"CL_type": classifier, "nbClass": nbClass},
"viewIndex": viewIndex}
argumentDictionaries["Monoview"].append(arguments)
@@ -637,15 +637,10 @@ def execClassif(arguments):
metrics[metricIndex] = [metric[0], None]
benchmark = initBenchmark(CL_type, monoviewAlgos, multiviewAlgos, args)
- print(benchmark, "\n")
-
initKWARGS = initKWARGSFunc(args, benchmark)
-
dataBaseTime = time.time() - start
-
argumentDictionaries = initMonoviewExps(benchmark, viewsDictionary,
NB_CLASS, initKWARGS)
- print(argumentDictionaries, "\n")
directories = execution.genDirecortiesNames(directory, statsIter)
benchmarkArgumentDictionaries = execution.genArgumentDictionaries(
LABELS_DICTIONARY, directories, multiclassLabels,
@@ -654,7 +649,6 @@ def execClassif(arguments):
statsIterRandomStates, metrics,
argumentDictionaries, benchmark, nbViews,
views, viewsIndices)
- print(benchmarkArgumentDictionaries, "\n")
nbMulticlass = len(labelsCombinations)
execBenchmark(nbCores, statsIter, nbMulticlass,
diff --git a/multiview_platform/MonoMultiViewClassifiers/Monoview/Additions/CGDescUtils.py b/multiview_platform/MonoMultiViewClassifiers/Monoview/Additions/CGDescUtils.py
index 82522b30..81061834 100644
--- a/multiview_platform/MonoMultiViewClassifiers/Monoview/Additions/CGDescUtils.py
+++ b/multiview_platform/MonoMultiViewClassifiers/Monoview/Additions/CGDescUtils.py
@@ -390,7 +390,8 @@ class ColumnGenerationClassifierQar(BaseEstimator, ClassifierMixin, BaseBoost):
ones_matrix = np.zeros(y.shape)
ones_matrix[np.multiply(y, self.new_voter.reshape(
y.shape)) < 0] = 1 # can np.divide if needed
- epsilon = np.average(ones_matrix, weights=self.example_weights, axis=0)
+ epsilon = np.average(np.multiply(y, self.new_voter.reshape(
+ y.shape)), axis=0)
return epsilon
def _compute_r(self, y):
diff --git a/multiview_platform/MonoMultiViewClassifiers/Monoview/ExecClassifMonoView.py b/multiview_platform/MonoMultiViewClassifiers/Monoview/ExecClassifMonoView.py
index 76b0e781..a1fcab81 100644
--- a/multiview_platform/MonoMultiViewClassifiers/Monoview/ExecClassifMonoView.py
+++ b/multiview_platform/MonoMultiViewClassifiers/Monoview/ExecClassifMonoView.py
@@ -56,7 +56,6 @@ def ExecMonoview(directory, X, Y, name, labelsNames, classificationIndices,
labelsString, \
outputFileName = initConstants(args, X, classificationIndices, labelsNames,
name, directory)
-
logging.debug("Done:\t Loading data")
logging.debug(
diff --git a/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/Adaboost.py b/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/Adaboost.py
index 1965fa68..82b53efa 100644
--- a/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/Adaboost.py
+++ b/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/Adaboost.py
@@ -89,7 +89,7 @@ class Adaboost(AdaBoostClassifier, BaseMonoviewClassifier):
def formatCmdArgs(args):
"""Used to format kwargs for the parsed args"""
kwargsDict = {'n_estimators': args.Ada_n_est,
- 'base_estimator': DecisionTreeClassifier(max_depth=1)}
+ 'base_estimator': [DecisionTreeClassifier(max_depth=1)]}
return kwargsDict
diff --git a/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/AdaboostPregen.py b/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/AdaboostPregen.py
index 6393b19d..6e70dc9d 100644
--- a/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/AdaboostPregen.py
+++ b/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/AdaboostPregen.py
@@ -123,7 +123,7 @@ class AdaboostPregen(AdaBoostClassifier, BaseMonoviewClassifier,
def formatCmdArgs(args):
"""Used to format kwargs for the parsed args"""
kwargsDict = {'n_estimators': args.AdP_n_est,
- 'base_estimator': DecisionTreeClassifier(max_depth=1),
+ 'base_estimator': [DecisionTreeClassifier(max_depth=1)],
'n_stumps': args.AdP_stumps}
return kwargsDict
diff --git a/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/AdaboostPregen10.py b/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/AdaboostPregen10.py
index 7d6763e8..de729f2d 100644
--- a/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/AdaboostPregen10.py
+++ b/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/AdaboostPregen10.py
@@ -24,7 +24,7 @@ class AdaboostPregen10(AdaboostPregen):
def formatCmdArgs(args):
"""Used to format kwargs for the parsed args"""
kwargsDict = {'n_estimators': args.AdP_n_est,
- 'base_estimator': DecisionTreeClassifier(max_depth=1),
+ 'base_estimator': [DecisionTreeClassifier(max_depth=1)],
}
return kwargsDict
diff --git a/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/AdaboostPregenTree.py b/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/AdaboostPregenTree.py
index 7e4d6737..fd9401bf 100644
--- a/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/AdaboostPregenTree.py
+++ b/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/AdaboostPregenTree.py
@@ -108,7 +108,7 @@ class AdaboostPregenTree(AdaBoostClassifier, BaseMonoviewClassifier,
def formatCmdArgs(args):
"""Used to format kwargs for the parsed args"""
kwargsDict = {'n_estimators': args.AdPT_n_est,
- 'base_estimator': DecisionTreeClassifier(max_depth=1),
+ 'base_estimator': [DecisionTreeClassifier(max_depth=1)],
'n_stumps': args.AdPT_trees,
"max_depth": args.AdPT_max_depth}
return kwargsDict
diff --git a/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/CGDesc.py b/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/CGDesc.py
index 89c84dee..a4783aa7 100644
--- a/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/CGDesc.py
+++ b/multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/CGDesc.py
@@ -13,7 +13,7 @@ class CGDesc(ColumnGenerationClassifierQar, BaseMonoviewClassifier):
c_bound_choice=True,
random_start=False,
n_stumps=n_stumps,
- use_r=True,
+ use_r=False,
c_bound_sol=True,
estimators_generator="Stumps"
)
diff --git a/multiview_platform/MonoMultiViewClassifiers/utils/execution.py b/multiview_platform/MonoMultiViewClassifiers/utils/execution.py
index cce4ef6d..da541aae 100644
--- a/multiview_platform/MonoMultiViewClassifiers/utils/execution.py
+++ b/multiview_platform/MonoMultiViewClassifiers/utils/execution.py
@@ -143,227 +143,227 @@ def parseTheArgs(arguments):
groupRF = parser.add_argument_group('Random Forest arguments')
groupRF.add_argument('--RF_trees', metavar='INT', type=int, action='store',
help='Number max trees',nargs="+",
- default=25)
+ default=[25])
groupRF.add_argument('--RF_max_depth', metavar='INT', type=int,
action='store',nargs="+",
help='Max depth for the trees',
- default=5)
+ default=[5])
groupRF.add_argument('--RF_criterion', metavar='STRING', action='store',
help='Criterion for the trees',nargs="+",
- default="entropy")
+ default=["entropy"])
groupSVMLinear = parser.add_argument_group('Linear SVM arguments')
groupSVMLinear.add_argument('--SVML_C', metavar='INT', type=int,
action='store', nargs="+", help='Penalty parameter used',
- default=1)
+ default=[1])
groupSVMRBF = parser.add_argument_group('SVW-RBF arguments')
groupSVMRBF.add_argument('--SVMRBF_C', metavar='INT', type=int,
action='store', nargs="+", help='Penalty parameter used',
- default=1)
+ default=[1])
groupSVMPoly = parser.add_argument_group('Poly SVM arguments')
groupSVMPoly.add_argument('--SVMPoly_C', metavar='INT', type=int,
action='store', nargs="+", help='Penalty parameter used',
- default=1)
+ default=[1])
groupSVMPoly.add_argument('--SVMPoly_deg', nargs="+", metavar='INT', type=int,
action='store', help='Degree parameter used',
- default=2)
+ default=[2])
groupAdaboost = parser.add_argument_group('Adaboost arguments')
groupAdaboost.add_argument('--Ada_n_est', metavar='INT', type=int,
action='store', nargs="+", help='Number of estimators',
- default=2)
+ default=[2])
groupAdaboost.add_argument('--Ada_b_est', metavar='STRING', action='store',
help='Estimators',nargs="+",
- default='DecisionTreeClassifier')
+ default=['DecisionTreeClassifier'])
groupAdaboostPregen = parser.add_argument_group('AdaboostPregen arguments')
groupAdaboostPregen.add_argument('--AdP_n_est', metavar='INT', type=int,
action='store',nargs="+",
help='Number of estimators',
- default=100)
+ default=[100])
groupAdaboostPregen.add_argument('--AdP_b_est', metavar='STRING',
action='store',nargs="+",
help='Estimators',
- default='DecisionTreeClassifier')
+ default=['DecisionTreeClassifier'])
groupAdaboostPregen.add_argument('--AdP_stumps', metavar='INT', type=int,
action='store',nargs="+",
help='Number of stumps inthe '
'pregenerated dataset',
- default=1)
+ default=[1])
groupAdaboostGraalpy = parser.add_argument_group(
'AdaboostGraalpy arguments')
groupAdaboostGraalpy.add_argument('--AdG_n_iter', metavar='INT', type=int,
action='store',nargs="+",
help='Number of estimators',
- default=100)
+ default=[100])
groupAdaboostGraalpy.add_argument('--AdG_stumps', metavar='INT', type=int,
action='store',nargs="+",
help='Number of stumps inthe '
'pregenerated dataset',
- default=1)
+ default=[1])
groupDT = parser.add_argument_group('Decision Trees arguments')
groupDT.add_argument('--DT_depth', metavar='INT', type=int, action='store',
help='Determine max depth for Decision Trees',nargs="+",
- default=3)
+ default=[3])
groupDT.add_argument('--DT_criterion', metavar='STRING', action='store',
help='Determine max depth for Decision Trees',nargs="+",
- default="entropy")
+ default=["entropy"])
groupDT.add_argument('--DT_splitter', metavar='STRING', action='store',
help='Determine criterion for Decision Trees',nargs="+",
- default="random")
+ default=["random"])
groupDTP = parser.add_argument_group('Decision Trees pregen arguments')
groupDTP.add_argument('--DTP_depth', metavar='INT', type=int,
action='store',nargs="+",
help='Determine max depth for Decision Trees',
- default=3)
+ default=[3])
groupDTP.add_argument('--DTP_criterion', metavar='STRING', action='store',
help='Determine max depth for Decision Trees',nargs="+",
- default="entropy")
+ default=["entropy"])
groupDTP.add_argument('--DTP_splitter', metavar='STRING', action='store',
help='Determine criterion for Decision Trees',nargs="+",
- default="random")
+ default=["random"])
groupDTP.add_argument('--DTP_stumps', metavar='INT', type=int,
action='store',nargs="+",
help='Determine the number of stumps for Decision '
'Trees pregen',
- default=1)
+ default=[1])
groupSGD = parser.add_argument_group('SGD arguments')
groupSGD.add_argument('--SGD_alpha', metavar='FLOAT', type=float,
action='store',nargs="+",
- help='Determine alpha for SGDClassifier', default=0.1)
+ help='Determine alpha for SGDClassifier', default=[0.1])
groupSGD.add_argument('--SGD_loss', metavar='STRING', action='store',
help='Determine loss for SGDClassifier',nargs="+",
- default='log')
+ default=['log'])
groupSGD.add_argument('--SGD_penalty', metavar='STRING', action='store',
help='Determine penalty for SGDClassifier', nargs="+",
- default='l2')
+ default=['l2'])
groupKNN = parser.add_argument_group('KNN arguments')
groupKNN.add_argument('--KNN_neigh', metavar='INT', type=int,
action='store',nargs="+",
help='Determine number of neighbors for KNN',
- default=1)
+ default=[1])
groupKNN.add_argument('--KNN_weights', nargs="+",
metavar='STRING', action='store',
help='Determine number of neighbors for KNN',
- default="distance")
+ default=["distance"])
groupKNN.add_argument('--KNN_algo', metavar='STRING', action='store',
help='Determine number of neighbors for KNN',
- default="auto",nargs="+", )
+ default=["auto"],nargs="+", )
groupKNN.add_argument('--KNN_p', metavar='INT', nargs="+",
type=int, action='store',
help='Determine number of neighbors for KNN',
- default=1)
+ default=[1])
groupSCM = parser.add_argument_group('SCM arguments')
groupSCM.add_argument('--SCM_max_rules', metavar='INT', type=int,
action='store', nargs="+",
- help='Max number of rules for SCM', default=1)
+ help='Max number of rules for SCM', default=[1])
groupSCM.add_argument('--SCM_p', metavar='FLOAT', type=float,
action='store', nargs="+",
- help='Max number of rules for SCM', default=1.0)
+ help='Max number of rules for SCM', default=[1.0])
groupSCM.add_argument('--SCM_model_type', metavar='STRING', action='store',
help='Max number of rules for SCM', nargs="+",
- default="conjunction")
+ default=["conjunction"])
groupSCMPregen = parser.add_argument_group('SCMPregen arguments')
groupSCMPregen.add_argument('--SCP_max_rules', metavar='INT', type=int,
action='store',nargs="+",
- help='Max number of rules for SCM', default=1)
+ help='Max number of rules for SCM', default=[1])
groupSCMPregen.add_argument('--SCP_p', metavar='FLOAT', type=float,
action='store',nargs="+",
- help='Max number of rules for SCM', default=1.0)
+ help='Max number of rules for SCM', default=[1.0])
groupSCMPregen.add_argument('--SCP_model_type', metavar='STRING',
action='store',nargs="+",
help='Max number of rules for SCM',
- default="conjunction")
+ default=["conjunction"])
groupSCMPregen.add_argument('--SCP_stumps', metavar='INT', type=int,
action='store',nargs="+",
help='Number of stumps per attribute',
- default=1)
+ default=[1])
groupSCMSparsity = parser.add_argument_group('SCMSparsity arguments')
groupSCMSparsity.add_argument('--SCS_max_rules', metavar='INT', type=int,
action='store',nargs="+",
- help='Max number of rules for SCM', default=1)
+ help='Max number of rules for SCM', default=[1])
groupSCMSparsity.add_argument('--SCS_stumps', metavar='INT', type=int,
action='store',nargs="+",
- help='Number of stumps', default=1)
+ help='Number of stumps', default=[1])
groupSCMSparsity.add_argument('--SCS_p', metavar='FLOAT', type=float,
action='store',nargs="+",
help='Max number of rules for SCM',
- default=1.0)
+ default=[1.0])
groupSCMSparsity.add_argument('--SCS_model_type', metavar='STRING',
action='store',nargs="+",
help='Max number of rules for SCM',
- default="conjunction")
+ default=["conjunction"])
groupCQBoost = parser.add_argument_group('CQBoost arguments')
groupCQBoost.add_argument('--CQB_mu', metavar='FLOAT', type=float,
action='store',nargs="+",
help='Set the mu parameter for CQBoost',
- default=0.001)
+ default=[0.001])
groupCQBoost.add_argument('--CQB_epsilon', metavar='FLOAT', type=float,
action='store',nargs="+",
help='Set the epsilon parameter for CQBoost',
- default=1e-06)
+ default=[1e-06])
groupCQBoost.add_argument('--CQB_stumps', metavar='INT', type=int,
action='store',nargs="+",
help='Set the number of stumps for CQBoost',
- default=1)
+ default=[1])
groupCQBoost.add_argument('--CQB_n_iter', metavar='INT', type=int,
action='store',nargs="+",
help='Set the maximum number of iteration in '
'CQBoost',
- default=None)
+ default=[None])
groupCQBoostv2 = parser.add_argument_group('CQBoostv2 arguments')
groupCQBoostv2.add_argument('--CQB2_mu', metavar='FLOAT', type=float,
action='store',nargs="+",
help='Set the mu parameter for CQBoostv2',
- default=0.002)
+ default=[0.002])
groupCQBoostv2.add_argument('--CQB2_epsilon', metavar='FLOAT', type=float,
action='store',nargs="+",
help='Set the epsilon parameter for CQBoostv2',
- default=1e-08)
+ default=[1e-08])
groupCQBoostv21 = parser.add_argument_group('CQBoostv21 arguments')
groupCQBoostv21.add_argument('--CQB21_mu', metavar='FLOAT', type=float,
action='store',nargs="+",
help='Set the mu parameter for CQBoostv2',
- default=0.001)
+ default=[0.001])
groupCQBoostv21.add_argument('--CQB21_epsilon', metavar='FLOAT', type=float,
action='store',nargs="+",
help='Set the epsilon parameter for CQBoostv2',
- default=1e-08)
+ default=[1e-08])
groupQarBoost = parser.add_argument_group('QarBoost arguments')
groupQarBoost.add_argument('--QarB_mu', metavar='FLOAT', type=float,
action='store',nargs="+",
help='Set the mu parameter for QarBoost',
- default=0.001)
+ default=[0.001])
groupQarBoost.add_argument('--QarB_epsilon', metavar='FLOAT', type=float,
action='store',nargs="+",
help='Set the epsilon parameter for QarBoost',
- default=1e-08)
+ default=[1e-08])
groupCGreed = parser.add_argument_group('CGreed arguments')
groupCGreed.add_argument('--CGR_stumps', metavar='INT', type=int,
action='store',nargs="+",
help='Set the n_stumps_per_attribute parameter '
'for CGreed',
- default=1)
+ default=[1])
groupCGreed.add_argument('--CGR_n_iter', metavar='INT', type=int,
action='store',nargs="+",
help='Set the n_max_iterations parameter for '
'CGreed',
- default=100)
+ default=[100])
groupCGDesc = parser.add_argument_group('CGDesc arguments')
groupCGDesc.add_argument('--CGD_stumps', nargs="+", metavar='INT', type=int,
@@ -375,82 +375,82 @@ def parseTheArgs(arguments):
action='store', nargs="+",
help='Set the n_max_iterations parameter for '
'CGreed',
- default=100)
+ default=[100])
groupCGDescTree = parser.add_argument_group('CGDesc arguments')
groupCGDescTree.add_argument('--CGDT_trees', metavar='INT', type=int,
action='store', nargs="+",
help='Set thenumber of trees for CGreed',
- default=100)
+ default=[100])
groupCGDescTree.add_argument('--CGDT_n_iter', metavar='INT', type=int,
action='store', nargs="+",
help='Set the n_max_iterations parameter for '
'CGreed',
- default=100)
+ default=[100])
groupCGDescTree.add_argument('--CGDT_max_depth', metavar='INT', type=int,
action='store', nargs="+",
help='Set the n_max_iterations parameter for CGreed',
- default=2)
+ default=[2])
groupMinCQGraalpyTree = parser.add_argument_group(
'MinCQGraalpyTree arguments')
groupMinCQGraalpyTree.add_argument('--MCGT_mu', metavar='FLOAT', type=float,
action='store', nargs="+",
help='Set the mu_parameter for MinCQGraalpy',
- default=0.05)
+ default=[0.05])
groupMinCQGraalpyTree.add_argument('--MCGT_trees', metavar='INT', type=int,
action='store', nargs="+",
help='Set the n trees parameter for MinCQGraalpy',
- default=100)
+ default=[100])
groupMinCQGraalpyTree.add_argument('--MCGT_max_depth', metavar='INT',
type=int,nargs="+",
action='store',
help='Set the n_stumps_per_attribute parameter for MinCQGraalpy',
- default=2)
+ default=[2])
groupCQBoostTree = parser.add_argument_group('CQBoostTree arguments')
groupCQBoostTree.add_argument('--CQBT_mu', metavar='FLOAT', type=float,
action='store',nargs="+",
help='Set the mu parameter for CQBoost',
- default=0.001)
+ default=[0.001])
groupCQBoostTree.add_argument('--CQBT_epsilon', metavar='FLOAT', type=float,
action='store',nargs="+",
help='Set the epsilon parameter for CQBoost',
- default=1e-06)
+ default=[1e-06])
groupCQBoostTree.add_argument('--CQBT_trees', metavar='INT', type=int,
action='store',nargs="+",
help='Set the number of trees for CQBoost',
- default=100)
+ default=[100])
groupCQBoostTree.add_argument('--CQBT_max_depth', metavar='INT', type=int,
action='store',nargs="+",
help='Set the number of stumps for CQBoost',
- default=2)
+ default=[2])
groupCQBoostTree.add_argument('--CQBT_n_iter', metavar='INT', type=int,
action='store',nargs="+",
help='Set the maximum number of iteration in CQBoostTree',
- default=None)
+ default=[None])
groupSCMPregenTree = parser.add_argument_group('SCMPregenTree arguments')
groupSCMPregenTree.add_argument('--SCPT_max_rules', metavar='INT', type=int,
action='store',nargs="+",
help='Max number of rules for SCM',
- default=1)
+ default=[1])
groupSCMPregenTree.add_argument('--SCPT_p', metavar='FLOAT', type=float,
action='store',nargs="+",
help='Max number of rules for SCM',
- default=1.0)
+ default=[1.0])
groupSCMPregenTree.add_argument('--SCPT_model_type', metavar='STRING',
action='store',nargs="+",
help='Max number of rules for SCM',
- default="conjunction")
+ default=["conjunction"])
groupSCMPregenTree.add_argument('--SCPT_trees', metavar='INT', type=int,
action='store',nargs="+",
help='Number of stumps per attribute',
- default=100)
+ default=[100])
groupSCMPregenTree.add_argument('--SCPT_max_depth', metavar='INT', type=int,
action='store',nargs="+",
help='Max_depth of the trees',
- default=1)
+ default=[1])
groupSCMSparsityTree = parser.add_argument_group(
'SCMSparsityTree arguments')
@@ -458,24 +458,24 @@ def parseTheArgs(arguments):
type=int,nargs="+",
action='store',
help='Max number of rules for SCM',
- default=1)
+ default=[1])
groupSCMSparsityTree.add_argument('--SCST_p', metavar='FLOAT', type=float,
action='store',nargs="+",
help='Max number of rules for SCM',
- default=1.0)
+ default=[1.0])
groupSCMSparsityTree.add_argument('--SCST_model_type', metavar='STRING',
action='store',nargs="+",
help='Max number of rules for SCM',
- default="conjunction")
+ default=["conjunction"])
groupSCMSparsityTree.add_argument('--SCST_trees', metavar='INT', type=int,
action='store',nargs="+",
help='Number of stumps per attribute',
- default=100)
+ default=[100])
groupSCMSparsityTree.add_argument('--SCST_max_depth', metavar='INT',
type=int,nargs="+",
action='store',
help='Max_depth of the trees',
- default=1)
+ default=[1])
groupAdaboostPregenTree = parser.add_argument_group(
'AdaboostPregenTrees arguments')
@@ -483,98 +483,98 @@ def parseTheArgs(arguments):
type=int,nargs="+",
action='store',
help='Number of estimators',
- default=100)
+ default=[100])
groupAdaboostPregenTree.add_argument('--AdPT_b_est', metavar='STRING',
action='store',nargs="+",
help='Estimators',
- default='DecisionTreeClassifier')
+ default=['DecisionTreeClassifier'])
groupAdaboostPregenTree.add_argument('--AdPT_trees', metavar='INT',
type=int,nargs="+",
action='store',
help='Number of trees in the pregenerated dataset',
- default=100)
+ default=[100])
groupAdaboostPregenTree.add_argument('--AdPT_max_depth', metavar='INT',
type=int,nargs="+",
action='store',
help='Number of stumps inthe pregenerated dataset',
- default=3)
+ default=[3])
groupLasso = parser.add_argument_group('Lasso arguments')
groupLasso.add_argument('--LA_n_iter', metavar='INT', type=int,
action='store',nargs="+",
help='Set the max_iter parameter for Lasso',
- default=1)
+ default=[1])
groupLasso.add_argument('--LA_alpha', metavar='FLOAT', type=float,
action='store',nargs="+",
help='Set the alpha parameter for Lasso',
- default=1.0)
+ default=[1.0])
groupGradientBoosting = parser.add_argument_group(
'Gradient Boosting arguments')
groupGradientBoosting.add_argument('--GB_n_est', metavar='INT', type=int,
action='store',nargs="+",
help='Set the n_estimators_parameter for Gradient Boosting',
- default=100)
+ default=[100])
groupMinCQ = parser.add_argument_group('MinCQ arguments')
groupMinCQ.add_argument('--MCQ_mu', metavar='FLOAT', type=float,
action='store',nargs="+",
help='Set the mu_parameter for MinCQ',
- default=0.05)
+ default=[0.05])
groupMinCQ.add_argument('--MCQ_stumps', metavar='INT', type=int,
action='store',nargs="+",
help='Set the n_stumps_per_attribute parameter for MinCQ',
- default=1)
+ default=[1])
groupMinCQGraalpy = parser.add_argument_group('MinCQGraalpy arguments')
groupMinCQGraalpy.add_argument('--MCG_mu', metavar='FLOAT', type=float,
action='store',nargs="+",
help='Set the mu_parameter for MinCQGraalpy',
- default=0.05)
+ default=[0.05])
groupMinCQGraalpy.add_argument('--MCG_stumps', metavar='INT', type=int,
action='store',nargs="+",
help='Set the n_stumps_per_attribute parameter for MinCQGraalpy',
- default=1)
+ default=[1])
groupQarBoostv3 = parser.add_argument_group('QarBoostv3 arguments')
groupQarBoostv3.add_argument('--QarB3_mu', metavar='FLOAT', type=float,
action='store',nargs="+",
help='Set the mu parameter for QarBoostv3',
- default=0.001)
+ default=[0.001])
groupQarBoostv3.add_argument('--QarB3_epsilon', metavar='FLOAT', type=float,
action='store',nargs="+",
help='Set the epsilon parameter for QarBoostv3',
- default=1e-08)
+ default=[1e-08])
groupQarBoostNC = parser.add_argument_group('QarBoostNC arguments')
groupQarBoostNC.add_argument('--QarBNC_mu', metavar='FLOAT', type=float,
action='store',nargs="+",
help='Set the mu parameter for QarBoostNC',
- default=0.001)
+ default=[0.001])
groupQarBoostNC.add_argument('--QarBNC_epsilon', metavar='FLOAT',
type=float, action='store',nargs="+",
help='Set the epsilon parameter for QarBoostNC',
- default=1e-08)
+ default=[1e-08])
groupQarBoostNC2 = parser.add_argument_group('QarBoostNC2 arguments')
groupQarBoostNC2.add_argument('--QarBNC2_mu', metavar='FLOAT', type=float,
action='store',nargs="+",
help='Set the mu parameter for QarBoostNC2',
- default=0.001)
+ default=[0.001])
groupQarBoostNC2.add_argument('--QarBNC2_epsilon', metavar='FLOAT',
type=float, action='store',nargs="+",
help='Set the epsilon parameter for QarBoostNC2',
- default=1e-08)
+ default=[1e-08])
groupQarBoostNC3 = parser.add_argument_group('QarBoostNC3 arguments')
groupQarBoostNC3.add_argument('--QarBNC3_mu', metavar='FLOAT', type=float,
action='store',nargs="+",
help='Set the mu parameter for QarBoostNC3',
- default=0.001)
+ default=[0.001])
groupQarBoostNC3.add_argument('--QarBNC3_epsilon', metavar='FLOAT',
type=float, action='store',nargs="+",
help='Set the epsilon parameter for QarBoostNC3',
- default=1e-08)
+ default=[1e-08])
#
# Multiview args
--
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