diff --git a/multiview_platform/MonoMultiViewClassifiers/ExecClassif.py b/multiview_platform/MonoMultiViewClassifiers/ExecClassif.py
index 6d31ee65a211c3d6a752d72de5e4055a9f2e5021..07535d9dfee05bb129322d844474f32f9d616f44 100644
--- a/multiview_platform/MonoMultiViewClassifiers/ExecClassif.py
+++ b/multiview_platform/MonoMultiViewClassifiers/ExecClassif.py
@@ -6,6 +6,7 @@ import pkgutil
import time
import matplotlib
+import itertools
import numpy as np
from joblib import Parallel, delayed
@@ -157,7 +158,7 @@ def initMonoviewExps(benchmark, viewsDictionary, nbClass, kwargsInit):
for viewName, viewIndex in viewsDictionary.items():
for classifier in benchmark["Monoview"]:
if multiple_args(classifier, kwargsInit):
- argumentDictionaries["Monoview"] += gen_multiple_args_dictionnaries(nbClass, kwargsInit)
+ argumentDictionaries["Monoview"] += gen_multiple_args_dictionnaries(nbClass, kwargsInit, classifier, viewName, viewIndex)
else:
arguments = {
"args": {classifier + "KWARGS": kwargsInit[
@@ -168,14 +169,37 @@ def initMonoviewExps(benchmark, viewsDictionary, nbClass, kwargsInit):
return argumentDictionaries
def multiple_args(classifier, kwargsInit):
- listed_args = [type(value) == list and len(value)>1 for key, value in kwargsInit[classifier + "KWARGSInit"].items()]
+ listed_args = [type(value) == list and len(value)>1 for key, value in
+ kwargsInit[classifier + "KWARGSInit"].items()]
if True in listed_args:
return True
else:
return False
-
-def gen_multiple_args_dictionnaries(nbClass, kwargsInit):
+def gen_multiple_kwargs_combinations(clKWARGS):
+ values = list(clKWARGS.values())
+ listed_values = [[_] if type(_) is not list else _ for _ in values]
+ values_cartesian_prod = [_ for _ in itertools.product(*listed_values)]
+ keys = clKWARGS.keys()
+ kwargs_combination = [dict((key, value) for key, value in zip(keys, values))
+ for values in values_cartesian_prod]
+ return kwargs_combination
+
+
+def gen_multiple_args_dictionnaries(nbClass, kwargsInit,
+ classifier, viewName, viewIndex):
+ multiple_kwargs_list = gen_multiple_kwargs_combinations(kwargsInit[classifier + "KWARGSInit"])
+ multiple_kwargs_dict = dict(
+ (classifier+"_"+"_".join(map(str,list(dictionary.values()))), dictionary)
+ for dictionary in multiple_kwargs_list)
+ args_dictionnaries = [{
+ "args": {classifier_name + "KWARGS": arguments,
+ "feat": viewName,
+ "CL_type": classifier_name,
+ "nbClass": nbClass},
+ "viewIndex": viewIndex}
+ for classifier_name, arguments in multiple_kwargs_dict.items()]
+ return args_dictionnaries
def initMonoviewKWARGS(args, classifiersNames):
diff --git a/multiview_platform/MonoMultiViewClassifiers/Monoview/ExecClassifMonoView.py b/multiview_platform/MonoMultiViewClassifiers/Monoview/ExecClassifMonoView.py
index 67abed095bdbbca5a452fdfd62fd0808abcb440c..76b0e7814bd44fff3021f0b3706a4eb2c0289908 100644
--- a/multiview_platform/MonoMultiViewClassifiers/Monoview/ExecClassifMonoView.py
+++ b/multiview_platform/MonoMultiViewClassifiers/Monoview/ExecClassifMonoView.py
@@ -77,7 +77,8 @@ def ExecMonoview(directory, X, Y, name, labelsNames, classificationIndices,
logging.debug("Done:\t Determine Train/Test split")
logging.debug("Start:\t Generate classifier args")
- classifierModule = getattr(MonoviewClassifiers, CL_type)
+ classifierModuleName = CL_type.split("_")[0]
+ classifierModule = getattr(MonoviewClassifiers, classifierModuleName)
clKWARGS, testFoldsPreds = getHPs(classifierModule, hyperParamSearch,
nIter, CL_type, X_train, y_train,
randomState, outputFileName,
@@ -85,7 +86,7 @@ def ExecMonoview(directory, X, Y, name, labelsNames, classificationIndices,
logging.debug("Done:\t Generate classifier args")
logging.debug("Start:\t Training")
- classifier = getattr(classifierModule, CL_type)(randomState, **clKWARGS)
+ classifier = getattr(classifierModule, classifierModuleName)(randomState, **clKWARGS)
classifier.fit(X_train, y_train) # NB_CORES=nbCores,
logging.debug("Done:\t Training")
diff --git a/multiview_platform/MonoMultiViewClassifiers/utils/execution.py b/multiview_platform/MonoMultiViewClassifiers/utils/execution.py
index 7b83a19b46fa040fb060da8e20a5a7c91002c8d1..cce4ef6d1f962c1c3bb869171df54fcded42111a 100644
--- a/multiview_platform/MonoMultiViewClassifiers/utils/execution.py
+++ b/multiview_platform/MonoMultiViewClassifiers/utils/execution.py
@@ -142,53 +142,53 @@ 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',
+ help='Number max trees',nargs="+",
default=25)
groupRF.add_argument('--RF_max_depth', metavar='INT', type=int,
- action='store',
+ action='store',nargs="+",
help='Max depth for the trees',
default=5)
groupRF.add_argument('--RF_criterion', metavar='STRING', action='store',
- help='Criterion for the trees',
+ help='Criterion for the trees',nargs="+",
default="entropy")
groupSVMLinear = parser.add_argument_group('Linear SVM arguments')
groupSVMLinear.add_argument('--SVML_C', metavar='INT', type=int,
- action='store', help='Penalty parameter used',
+ action='store', nargs="+", help='Penalty parameter used',
default=1)
groupSVMRBF = parser.add_argument_group('SVW-RBF arguments')
groupSVMRBF.add_argument('--SVMRBF_C', metavar='INT', type=int,
- action='store', help='Penalty parameter used',
+ action='store', nargs="+", help='Penalty parameter used',
default=1)
groupSVMPoly = parser.add_argument_group('Poly SVM arguments')
groupSVMPoly.add_argument('--SVMPoly_C', metavar='INT', type=int,
- action='store', help='Penalty parameter used',
+ action='store', nargs="+", help='Penalty parameter used',
default=1)
- groupSVMPoly.add_argument('--SVMPoly_deg', metavar='INT', type=int,
+ groupSVMPoly.add_argument('--SVMPoly_deg', nargs="+", metavar='INT', type=int,
action='store', help='Degree parameter used',
default=2)
groupAdaboost = parser.add_argument_group('Adaboost arguments')
groupAdaboost.add_argument('--Ada_n_est', metavar='INT', type=int,
- action='store', help='Number of estimators',
+ action='store', nargs="+", help='Number of estimators',
default=2)
groupAdaboost.add_argument('--Ada_b_est', metavar='STRING', action='store',
- help='Estimators',
+ help='Estimators',nargs="+",
default='DecisionTreeClassifier')
groupAdaboostPregen = parser.add_argument_group('AdaboostPregen arguments')
groupAdaboostPregen.add_argument('--AdP_n_est', metavar='INT', type=int,
- action='store',
+ action='store',nargs="+",
help='Number of estimators',
default=100)
groupAdaboostPregen.add_argument('--AdP_b_est', metavar='STRING',
- action='store',
+ action='store',nargs="+",
help='Estimators',
default='DecisionTreeClassifier')
groupAdaboostPregen.add_argument('--AdP_stumps', metavar='INT', type=int,
- action='store',
+ action='store',nargs="+",
help='Number of stumps inthe '
'pregenerated dataset',
default=1)
@@ -196,281 +196,283 @@ def parseTheArgs(arguments):
groupAdaboostGraalpy = parser.add_argument_group(
'AdaboostGraalpy arguments')
groupAdaboostGraalpy.add_argument('--AdG_n_iter', metavar='INT', type=int,
- action='store',
+ action='store',nargs="+",
help='Number of estimators',
default=100)
groupAdaboostGraalpy.add_argument('--AdG_stumps', metavar='INT', type=int,
- action='store',
+ action='store',nargs="+",
help='Number of stumps inthe '
'pregenerated dataset',
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',
+ help='Determine max depth for Decision Trees',nargs="+",
default=3)
groupDT.add_argument('--DT_criterion', metavar='STRING', action='store',
- help='Determine max depth for Decision Trees',
+ help='Determine max depth for Decision Trees',nargs="+",
default="entropy")
groupDT.add_argument('--DT_splitter', metavar='STRING', action='store',
- help='Determine criterion for Decision Trees',
+ help='Determine criterion for Decision Trees',nargs="+",
default="random")
groupDTP = parser.add_argument_group('Decision Trees pregen arguments')
groupDTP.add_argument('--DTP_depth', metavar='INT', type=int,
- action='store',
+ action='store',nargs="+",
help='Determine max depth for Decision Trees',
default=3)
groupDTP.add_argument('--DTP_criterion', metavar='STRING', action='store',
- help='Determine max depth for Decision Trees',
+ help='Determine max depth for Decision Trees',nargs="+",
default="entropy")
groupDTP.add_argument('--DTP_splitter', metavar='STRING', action='store',
- help='Determine criterion for Decision Trees',
+ help='Determine criterion for Decision Trees',nargs="+",
default="random")
groupDTP.add_argument('--DTP_stumps', metavar='INT', type=int,
- action='store',
+ action='store',nargs="+",
help='Determine the number of stumps for Decision '
'Trees pregen',
default=1)
groupSGD = parser.add_argument_group('SGD arguments')
groupSGD.add_argument('--SGD_alpha', metavar='FLOAT', type=float,
- action='store',
+ action='store',nargs="+",
help='Determine alpha for SGDClassifier', default=0.1)
groupSGD.add_argument('--SGD_loss', metavar='STRING', action='store',
- help='Determine loss for SGDClassifier',
+ help='Determine loss for SGDClassifier',nargs="+",
default='log')
groupSGD.add_argument('--SGD_penalty', metavar='STRING', action='store',
- help='Determine penalty for SGDClassifier',
+ help='Determine penalty for SGDClassifier', nargs="+",
default='l2')
groupKNN = parser.add_argument_group('KNN arguments')
groupKNN.add_argument('--KNN_neigh', metavar='INT', type=int,
- action='store',
+ action='store',nargs="+",
help='Determine number of neighbors for KNN',
default=1)
- groupKNN.add_argument('--KNN_weights', metavar='STRING', action='store',
+ groupKNN.add_argument('--KNN_weights', nargs="+",
+ metavar='STRING', action='store',
help='Determine number of neighbors for KNN',
default="distance")
groupKNN.add_argument('--KNN_algo', metavar='STRING', action='store',
help='Determine number of neighbors for KNN',
- default="auto")
- groupKNN.add_argument('--KNN_p', metavar='INT', type=int, action='store',
+ default="auto",nargs="+", )
+ groupKNN.add_argument('--KNN_p', metavar='INT', nargs="+",
+ type=int, action='store',
help='Determine number of neighbors for KNN',
default=1)
groupSCM = parser.add_argument_group('SCM arguments')
groupSCM.add_argument('--SCM_max_rules', metavar='INT', type=int,
- action='store',
+ action='store', nargs="+",
help='Max number of rules for SCM', default=1)
groupSCM.add_argument('--SCM_p', metavar='FLOAT', type=float,
- action='store',
+ action='store', nargs="+",
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',
+ help='Max number of rules for SCM', nargs="+",
default="conjunction")
groupSCMPregen = parser.add_argument_group('SCMPregen arguments')
groupSCMPregen.add_argument('--SCP_max_rules', metavar='INT', type=int,
- action='store',
+ action='store',nargs="+",
help='Max number of rules for SCM', default=1)
groupSCMPregen.add_argument('--SCP_p', metavar='FLOAT', type=float,
- action='store',
+ action='store',nargs="+",
help='Max number of rules for SCM', default=1.0)
groupSCMPregen.add_argument('--SCP_model_type', metavar='STRING',
- action='store',
+ action='store',nargs="+",
help='Max number of rules for SCM',
default="conjunction")
groupSCMPregen.add_argument('--SCP_stumps', metavar='INT', type=int,
- action='store',
+ action='store',nargs="+",
help='Number of stumps per attribute',
default=1)
groupSCMSparsity = parser.add_argument_group('SCMSparsity arguments')
groupSCMSparsity.add_argument('--SCS_max_rules', metavar='INT', type=int,
- action='store',
+ action='store',nargs="+",
help='Max number of rules for SCM', default=1)
groupSCMSparsity.add_argument('--SCS_stumps', metavar='INT', type=int,
- action='store',
+ action='store',nargs="+",
help='Number of stumps', default=1)
groupSCMSparsity.add_argument('--SCS_p', metavar='FLOAT', type=float,
- action='store',
+ action='store',nargs="+",
help='Max number of rules for SCM',
default=1.0)
groupSCMSparsity.add_argument('--SCS_model_type', metavar='STRING',
- action='store',
+ action='store',nargs="+",
help='Max number of rules for SCM',
default="conjunction")
groupCQBoost = parser.add_argument_group('CQBoost arguments')
groupCQBoost.add_argument('--CQB_mu', metavar='FLOAT', type=float,
- action='store',
+ action='store',nargs="+",
help='Set the mu parameter for CQBoost',
default=0.001)
groupCQBoost.add_argument('--CQB_epsilon', metavar='FLOAT', type=float,
- action='store',
+ action='store',nargs="+",
help='Set the epsilon parameter for CQBoost',
default=1e-06)
groupCQBoost.add_argument('--CQB_stumps', metavar='INT', type=int,
- action='store',
+ action='store',nargs="+",
help='Set the number of stumps for CQBoost',
default=1)
groupCQBoost.add_argument('--CQB_n_iter', metavar='INT', type=int,
- action='store',
+ action='store',nargs="+",
help='Set the maximum number of iteration in '
'CQBoost',
default=None)
groupCQBoostv2 = parser.add_argument_group('CQBoostv2 arguments')
groupCQBoostv2.add_argument('--CQB2_mu', metavar='FLOAT', type=float,
- action='store',
+ action='store',nargs="+",
help='Set the mu parameter for CQBoostv2',
default=0.002)
groupCQBoostv2.add_argument('--CQB2_epsilon', metavar='FLOAT', type=float,
- action='store',
+ action='store',nargs="+",
help='Set the epsilon parameter for CQBoostv2',
default=1e-08)
groupCQBoostv21 = parser.add_argument_group('CQBoostv21 arguments')
groupCQBoostv21.add_argument('--CQB21_mu', metavar='FLOAT', type=float,
- action='store',
+ action='store',nargs="+",
help='Set the mu parameter for CQBoostv2',
default=0.001)
groupCQBoostv21.add_argument('--CQB21_epsilon', metavar='FLOAT', type=float,
- action='store',
+ action='store',nargs="+",
help='Set the epsilon parameter for CQBoostv2',
default=1e-08)
groupQarBoost = parser.add_argument_group('QarBoost arguments')
groupQarBoost.add_argument('--QarB_mu', metavar='FLOAT', type=float,
- action='store',
+ action='store',nargs="+",
help='Set the mu parameter for QarBoost',
default=0.001)
groupQarBoost.add_argument('--QarB_epsilon', metavar='FLOAT', type=float,
- action='store',
+ action='store',nargs="+",
help='Set the epsilon parameter for QarBoost',
default=1e-08)
groupCGreed = parser.add_argument_group('CGreed arguments')
groupCGreed.add_argument('--CGR_stumps', metavar='INT', type=int,
- action='store',
+ action='store',nargs="+",
help='Set the n_stumps_per_attribute parameter '
'for CGreed',
default=1)
groupCGreed.add_argument('--CGR_n_iter', metavar='INT', type=int,
- action='store',
+ action='store',nargs="+",
help='Set the n_max_iterations parameter for '
'CGreed',
default=100)
groupCGDesc = parser.add_argument_group('CGDesc arguments')
- groupCGDesc.add_argument('--CGD_stumps', metavar='INT', type=int,
+ groupCGDesc.add_argument('--CGD_stumps', nargs="+", metavar='INT', type=int,
action='store',
help='Set the n_stumps_per_attribute parameter '
'for CGreed',
- default=1)
+ default=[1])
groupCGDesc.add_argument('--CGD_n_iter', metavar='INT', type=int,
- action='store',
+ action='store', nargs="+",
help='Set the n_max_iterations parameter for '
'CGreed',
default=100)
groupCGDescTree = parser.add_argument_group('CGDesc arguments')
groupCGDescTree.add_argument('--CGDT_trees', metavar='INT', type=int,
- action='store',
+ action='store', nargs="+",
help='Set thenumber of trees for CGreed',
default=100)
groupCGDescTree.add_argument('--CGDT_n_iter', metavar='INT', type=int,
- action='store',
+ action='store', nargs="+",
help='Set the n_max_iterations parameter for '
'CGreed',
default=100)
groupCGDescTree.add_argument('--CGDT_max_depth', metavar='INT', type=int,
- action='store',
+ action='store', nargs="+",
help='Set the n_max_iterations parameter for CGreed',
default=2)
groupMinCQGraalpyTree = parser.add_argument_group(
'MinCQGraalpyTree arguments')
groupMinCQGraalpyTree.add_argument('--MCGT_mu', metavar='FLOAT', type=float,
- action='store',
+ action='store', nargs="+",
help='Set the mu_parameter for MinCQGraalpy',
default=0.05)
groupMinCQGraalpyTree.add_argument('--MCGT_trees', metavar='INT', type=int,
- action='store',
+ action='store', nargs="+",
help='Set the n trees parameter for MinCQGraalpy',
default=100)
groupMinCQGraalpyTree.add_argument('--MCGT_max_depth', metavar='INT',
- type=int,
+ type=int,nargs="+",
action='store',
help='Set the n_stumps_per_attribute parameter for MinCQGraalpy',
default=2)
groupCQBoostTree = parser.add_argument_group('CQBoostTree arguments')
groupCQBoostTree.add_argument('--CQBT_mu', metavar='FLOAT', type=float,
- action='store',
+ action='store',nargs="+",
help='Set the mu parameter for CQBoost',
default=0.001)
groupCQBoostTree.add_argument('--CQBT_epsilon', metavar='FLOAT', type=float,
- action='store',
+ action='store',nargs="+",
help='Set the epsilon parameter for CQBoost',
default=1e-06)
groupCQBoostTree.add_argument('--CQBT_trees', metavar='INT', type=int,
- action='store',
+ action='store',nargs="+",
help='Set the number of trees for CQBoost',
default=100)
groupCQBoostTree.add_argument('--CQBT_max_depth', metavar='INT', type=int,
- action='store',
+ action='store',nargs="+",
help='Set the number of stumps for CQBoost',
default=2)
groupCQBoostTree.add_argument('--CQBT_n_iter', metavar='INT', type=int,
- action='store',
+ action='store',nargs="+",
help='Set the maximum number of iteration in CQBoostTree',
default=None)
groupSCMPregenTree = parser.add_argument_group('SCMPregenTree arguments')
groupSCMPregenTree.add_argument('--SCPT_max_rules', metavar='INT', type=int,
- action='store',
+ action='store',nargs="+",
help='Max number of rules for SCM',
default=1)
groupSCMPregenTree.add_argument('--SCPT_p', metavar='FLOAT', type=float,
- action='store',
+ action='store',nargs="+",
help='Max number of rules for SCM',
default=1.0)
groupSCMPregenTree.add_argument('--SCPT_model_type', metavar='STRING',
- action='store',
+ action='store',nargs="+",
help='Max number of rules for SCM',
default="conjunction")
groupSCMPregenTree.add_argument('--SCPT_trees', metavar='INT', type=int,
- action='store',
+ action='store',nargs="+",
help='Number of stumps per attribute',
default=100)
groupSCMPregenTree.add_argument('--SCPT_max_depth', metavar='INT', type=int,
- action='store',
+ action='store',nargs="+",
help='Max_depth of the trees',
default=1)
groupSCMSparsityTree = parser.add_argument_group(
'SCMSparsityTree arguments')
groupSCMSparsityTree.add_argument('--SCST_max_rules', metavar='INT',
- type=int,
+ type=int,nargs="+",
action='store',
help='Max number of rules for SCM',
default=1)
groupSCMSparsityTree.add_argument('--SCST_p', metavar='FLOAT', type=float,
- action='store',
+ action='store',nargs="+",
help='Max number of rules for SCM',
default=1.0)
groupSCMSparsityTree.add_argument('--SCST_model_type', metavar='STRING',
- action='store',
+ action='store',nargs="+",
help='Max number of rules for SCM',
default="conjunction")
groupSCMSparsityTree.add_argument('--SCST_trees', metavar='INT', type=int,
- action='store',
+ action='store',nargs="+",
help='Number of stumps per attribute',
default=100)
groupSCMSparsityTree.add_argument('--SCST_max_depth', metavar='INT',
- type=int,
+ type=int,nargs="+",
action='store',
help='Max_depth of the trees',
default=1)
@@ -478,99 +480,99 @@ def parseTheArgs(arguments):
groupAdaboostPregenTree = parser.add_argument_group(
'AdaboostPregenTrees arguments')
groupAdaboostPregenTree.add_argument('--AdPT_n_est', metavar='INT',
- type=int,
+ type=int,nargs="+",
action='store',
help='Number of estimators',
default=100)
groupAdaboostPregenTree.add_argument('--AdPT_b_est', metavar='STRING',
- action='store',
+ action='store',nargs="+",
help='Estimators',
default='DecisionTreeClassifier')
groupAdaboostPregenTree.add_argument('--AdPT_trees', metavar='INT',
- type=int,
+ type=int,nargs="+",
action='store',
help='Number of trees in the pregenerated dataset',
default=100)
groupAdaboostPregenTree.add_argument('--AdPT_max_depth', metavar='INT',
- type=int,
+ type=int,nargs="+",
action='store',
help='Number of stumps inthe pregenerated dataset',
default=3)
groupLasso = parser.add_argument_group('Lasso arguments')
groupLasso.add_argument('--LA_n_iter', metavar='INT', type=int,
- action='store',
+ action='store',nargs="+",
help='Set the max_iter parameter for Lasso',
default=1)
groupLasso.add_argument('--LA_alpha', metavar='FLOAT', type=float,
- action='store',
+ action='store',nargs="+",
help='Set the alpha parameter for Lasso',
default=1.0)
groupGradientBoosting = parser.add_argument_group(
'Gradient Boosting arguments')
groupGradientBoosting.add_argument('--GB_n_est', metavar='INT', type=int,
- action='store',
+ action='store',nargs="+",
help='Set the n_estimators_parameter for Gradient Boosting',
default=100)
groupMinCQ = parser.add_argument_group('MinCQ arguments')
groupMinCQ.add_argument('--MCQ_mu', metavar='FLOAT', type=float,
- action='store',
+ action='store',nargs="+",
help='Set the mu_parameter for MinCQ',
default=0.05)
groupMinCQ.add_argument('--MCQ_stumps', metavar='INT', type=int,
- action='store',
+ action='store',nargs="+",
help='Set the n_stumps_per_attribute parameter for MinCQ',
default=1)
groupMinCQGraalpy = parser.add_argument_group('MinCQGraalpy arguments')
groupMinCQGraalpy.add_argument('--MCG_mu', metavar='FLOAT', type=float,
- action='store',
+ action='store',nargs="+",
help='Set the mu_parameter for MinCQGraalpy',
default=0.05)
groupMinCQGraalpy.add_argument('--MCG_stumps', metavar='INT', type=int,
- action='store',
+ action='store',nargs="+",
help='Set the n_stumps_per_attribute parameter for MinCQGraalpy',
default=1)
groupQarBoostv3 = parser.add_argument_group('QarBoostv3 arguments')
groupQarBoostv3.add_argument('--QarB3_mu', metavar='FLOAT', type=float,
- action='store',
+ action='store',nargs="+",
help='Set the mu parameter for QarBoostv3',
default=0.001)
groupQarBoostv3.add_argument('--QarB3_epsilon', metavar='FLOAT', type=float,
- action='store',
+ action='store',nargs="+",
help='Set the epsilon parameter for QarBoostv3',
default=1e-08)
groupQarBoostNC = parser.add_argument_group('QarBoostNC arguments')
groupQarBoostNC.add_argument('--QarBNC_mu', metavar='FLOAT', type=float,
- action='store',
+ action='store',nargs="+",
help='Set the mu parameter for QarBoostNC',
default=0.001)
groupQarBoostNC.add_argument('--QarBNC_epsilon', metavar='FLOAT',
- type=float, action='store',
+ type=float, action='store',nargs="+",
help='Set the epsilon parameter for QarBoostNC',
default=1e-08)
groupQarBoostNC2 = parser.add_argument_group('QarBoostNC2 arguments')
groupQarBoostNC2.add_argument('--QarBNC2_mu', metavar='FLOAT', type=float,
- action='store',
+ action='store',nargs="+",
help='Set the mu parameter for QarBoostNC2',
default=0.001)
groupQarBoostNC2.add_argument('--QarBNC2_epsilon', metavar='FLOAT',
- type=float, action='store',
+ type=float, action='store',nargs="+",
help='Set the epsilon parameter for QarBoostNC2',
default=1e-08)
groupQarBoostNC3 = parser.add_argument_group('QarBoostNC3 arguments')
groupQarBoostNC3.add_argument('--QarBNC3_mu', metavar='FLOAT', type=float,
- action='store',
+ action='store',nargs="+",
help='Set the mu parameter for QarBoostNC3',
default=0.001)
groupQarBoostNC3.add_argument('--QarBNC3_epsilon', metavar='FLOAT',
- type=float, action='store',
+ type=float, action='store',nargs="+",
help='Set the epsilon parameter for QarBoostNC3',
default=1e-08)