c01dacf7ea92ad8cc9d919a778ba03f24ebe47ac,experiments/complete_faces.py,,,#,72
Before Change
for rank in [5, 50]:
for solver_class in [IterativeSVD, SoftImpute, MatrixFactorization]:
solver = solver_class(rank=rank)
completed = solver.complete(incomplete)
save_images(
completed,
base_filename="%s_rank%d" % (solver_class.__name__, rank))
nn = AutoEncoder(
After Change
fill_method, shrinkage_value))
for rank in [5, 50]:
for fill_method in ["zero", "mean", "random"]:
save_images(
IterativeSVD(rank=rank, init_fill_method=fill_method).complete(
incomplete),
base_filename="IterativeSVD_%s_rank%d" % (
fill_method, rank))
save_images(
MatrixFactorization(rank).complete(incomplete),
base_filename="MatrixFactorization_rank%d" % rank)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 8
Instances
Project Name: iskandr/fancyimpute
Commit Name: c01dacf7ea92ad8cc9d919a778ba03f24ebe47ac
Time: 2016-01-05
Author: alex.rubinsteyn@gmail.com
File Name: experiments/complete_faces.py
Class Name:
Method Name:
Project Name: iskandr/fancyimpute
Commit Name: 559efc2bfba5b6575b6de3e702438accc94d51b6
Time: 2016-01-04
Author: alex.rubinsteyn@gmail.com
File Name: experiments/complete_faces.py
Class Name:
Method Name:
Project Name: iskandr/fancyimpute
Commit Name: dfc691f89f60fdac04351bfc237785d6e8ea7b4c
Time: 2016-01-05
Author: alex.rubinsteyn@gmail.com
File Name: experiments/complete_faces.py
Class Name:
Method Name: