added in database memory for audio files

This speeds up multi-model training serially by allowing for preservation of prior featurizations.

features/csv_features/featurize_csv_regression.py

@@ -84,6 +84,11 @@ def element_featurize(sampletype, default_features, filepaths, directory):
 	os.mkdir(basedir+'/train_dir/'+folder)
 	for i in range(len(filepaths)):
 		shutil.copy(filepaths[i], directory+'/'+filepaths[i].split('/')[-1])
+		try:
+			shutil.copy(filepaths[i][0:-4]+'.json',  directory+'/'+filepaths[i].split('/')[-1][0:-4]+'.json')
+		except:
+			# pass over json files if they exist to speed up featurizations
+			pass
 
 	# featurize the files in the folder 
 	os.chdir(basedir+'/features/%s_features/'%(sampletype))