c01dacf7ea92ad8cc9d919a778ba03f24ebe47ac,experiments/complete_faces.py,,,#,72
Before Change
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(
hidden_layer_sizes=[1000, rank],
hidden_activation="tanh",
output_activation="sigmoid")
After Change
completed_fill,
base_filename="SimpleFill_%s" % fill_method)
for fill_method in ["zero", "mean", "random"]:
for shrinkage_value in [5, 20]:
print("Fill=%s, shrinkage=%d" % (fill_method, shrinkage_value))
// SoftImpute without rank constraints
save_images(
SoftImpute(
init_fill_method=fill_method,
shrinkage_value=shrinkage_value).complete(incomplete),
base_filename="SoftImpute_%s_lambda%d" % (
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(
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 5
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: tensorlayer/tensorlayer
Commit Name: f2073333b710a340403843763ba60eb1e6699916
Time: 2019-04-11
Author: rundi_wu@pku.edu.cn
File Name: examples/data_process/tutorial_tfrecord2.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: