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| author | andreas128 <Andreas> | 2017-09-28 12:13:30 +0200 |
|---|---|---|
| committer | andreas128 <Andreas> | 2017-09-28 12:13:30 +0200 |
| commit | df943d798ffb16214fcf714d1b308a366e1566d1 (patch) | |
| tree | 52226280fb492715ca3f711749be022d27f248c8 | |
| parent | 3a0ff25128dd3bcfac38cf6a26e9bff9ed83a9f8 (diff) | |
| download | dabmod-df943d798ffb16214fcf714d1b308a366e1566d1.tar.gz dabmod-df943d798ffb16214fcf714d1b308a366e1566d1.tar.bz2 dabmod-df943d798ffb16214fcf714d1b308a366e1566d1.zip | |
Lower start learning rate in Heuristic.py
| -rw-r--r-- | dpd/src/Heuristics.py | 4 |
1 files changed, 1 insertions, 3 deletions
diff --git a/dpd/src/Heuristics.py b/dpd/src/Heuristics.py index 467c5da..a32ccff 100644 --- a/dpd/src/Heuristics.py +++ b/dpd/src/Heuristics.py @@ -10,7 +10,7 @@ import numpy as np def get_learning_rate(idx_run): idx_max = 10.0 lr_min = 0.05 - lr_max = 1 + lr_max = 0.4 lr_delta = lr_max - lr_min idx_run = min(idx_run, idx_max) learning_rate = lr_max - lr_delta * idx_run/idx_max @@ -24,5 +24,3 @@ def get_n_meas(idx_run): idx_run = min(idx_run, idx_max) learning_rate = n_meas_delta * idx_run/idx_max + n_meas_min return int(np.round(learning_rate)) - - |