Commit 9f6fc2c7 authored by Jonathan Juhl's avatar Jonathan Juhl
Browse files

corrected ups

parent b00c6e15
......@@ -103,7 +103,7 @@ class DynAE(super_class):
if self.ctf:
fake_projections = tf.expand_dims(apply_ctf(fake_projections,ctf_pr_count,lambdas,spher_abb,ac),axis=-1)
if self.noise:
......@@ -16,7 +16,7 @@ def main():
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')
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