parser.add_argument('--num_cpus',type=int,default=8,help='The maximum allowed cpus to use for preprocessing data and Kmeans clustering')
parser.add_argument('--star',type=str,nargs='+',
help='list of path to the star files, wild cards are accepted. The star file must refer to the .mrc files')
parser.add_argument('--ab',type=int,default=50,
parser.add_argument('--ab',type=int,default=100,
help='deep learning model training batch')
parser.add_argument('--pb',type=int,default=200,
help='deep learning model training batch')
...
...
@@ -34,7 +34,7 @@ def main():
parser.add_argument('--log',type=str,default="False",help='log all possible values to file (loss, pca_components,NMI,Recall,false positives,false negatives.')
parser.add_argument('--num_parts',type=int,default=30,help='Number of gaussian components to use. (This is the maximum number)')
parser.add_argument('--num_parts',type=int,default=4,help='Number of gaussian components to use. (This is the maximum number)')
parser.add_argument('--lr',type=float,default=0.002,help='The learning rate of the model')