Added main execution file

Code/MonoMutliViewClassifiers/ExecClassif.py

@@ -11,6 +11,7 @@ from joblib import Parallel, delayed
 import numpy as np
 import math
 import matplotlib
+import h5py
 
 # Import own modules
 import Multiview
@@ -100,7 +101,7 @@ def initMonoviewKWARGS(args, classifiersNames):
     return monoviewKWARGS
 
 
-def initKWARGS(args, benchmark):
+def initKWARGSFunc(args, benchmark):
     if "Monoview" in benchmark:
         monoviewKWARGS = initMonoviewKWARGS(args, benchmark["Monoview"])
     else:
@@ -108,20 +109,20 @@ def initKWARGS(args, benchmark):
     return monoviewKWARGS
 
 
-def lateFusionSetArgs(views, viewsIndices, classes, method,
-                      classifiersNames, classifiersConfig, fusionMethodConfig):
-    arguments = {"CL_type": "Fusion",
-                 "views": views,
-                 "NB_VIEW": len(views),
-                 "viewsIndices": viewsIndices,
-                 "NB_CLASS": len(classes),
-                 "LABELS_NAMES": args.CL_classes,
-                 "FusionKWARGS": {"fusionType": "LateFusion", "fusionMethod": method,
-                                  "classifiersNames": classifiersNames,
-                                  "classifiersConfigs": classifiersConfig,
-                                  'fusionMethodConfig': fusionMethodConfig,
-                                  "nbView": (len(viewsIndices))}}
-    return arguments
+# def lateFusionSetArgs(views, viewsIndices, classes, method,
+#                       classifiersNames, classifiersConfig, fusionMethodConfig):
+#     arguments = {"CL_type": "Fusion",
+#                  "views": views,
+#                  "NB_VIEW": len(views),
+#                  "viewsIndices": viewsIndices,
+#                  "NB_CLASS": len(classes),
+#                  "LABELS_NAMES": args.CL_classes,
+#                  "FusionKWARGS": {"fusionType": "LateFusion", "fusionMethod": method,
+#                                   "classifiersNames": classifiersNames,
+#                                   "classifiersConfigs": classifiersConfig,
+#                                   'fusionMethodConfig': fusionMethodConfig,
+#                                   "nbView": (len(viewsIndices))}}
+#     return arguments
 
 
 def initMultiviewArguments(args, benchmark, views, viewsIndices, argumentDictionaries, randomState, directory,
@@ -178,6 +179,7 @@ def classifyOneIter_multicore(LABELS_DICTIONARY, argumentDictionaries, nbCores,
     labels = np.array(
         [resultMonoview[1][3] for resultMonoview in resultsMonoview] + [resultMultiview[3] for resultMultiview in
                                                                         resultsMultiview]).transpose()
+    DATASET = h5py.File(args.pathF + args.name + str(0) + ".hdf5", "r")
     trueLabels = DATASET.get("Labels").value
     times = [dataBaseTime, monoviewTime, multiviewTime]
     results = (resultsMonoview, resultsMultiview)
@@ -273,10 +275,10 @@ def classifyOneIter(LABELS_DICTIONARY, argumentDictionaries, nbCores, directory,
 # _______________ #
 # __ EXECUTION __ #
 # _______________ #
-
+def execClassif(arguments):
     testVersions()
     start = time.time()
-args = execution.parseTheArgs(sys.argv[1:])
+    args = execution.parseTheArgs(arguments)
 
     os.nice(args.nice)
     nbCores = args.CL_cores
@@ -327,7 +329,7 @@ logging.info("Start:\t Finding all available mono- & multiview algorithms")
 
     benchmark = initBenchmark(args)
 
-initKWARGS = initKWARGS(args, benchmark)
+    initKWARGS = initKWARGSFunc(args, benchmark)
 
     dataBaseTime = time.time() - start