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authorPeng Wu <alexepico@gmail.com>2011-07-29 14:13:42 +0800
committerPeng Wu <alexepico@gmail.com>2011-07-29 14:13:42 +0800
commitb6afd6c828dae6d11718e85e3e9aca60158664f0 (patch)
tree90d2c108906f56786943432fc8e81fccf576a1f2
parent9907d860802ea03319ca283f0e7f4737765c5513 (diff)
downloadtrainer-b6afd6c828dae6d11718e85e3e9aca60158664f0.tar.gz
trainer-b6afd6c828dae6d11718e85e3e9aca60158664f0.tar.xz
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add lambda value output to evaluate.py
-rwxr-xr-xevaluate.py1
-rw-r--r--lib/myconfig.py2
2 files changed, 2 insertions, 1 deletions
diff --git a/evaluate.py b/evaluate.py
index 0e99abb..ad3ea4e 100755
--- a/evaluate.py
+++ b/evaluate.py
@@ -167,6 +167,7 @@ if __name__ == '__main__':
print('estimating')
reportfile = os.path.join(trydir, 'estimate' + config.getReportPostfix())
avg_lambda = estimateModel(reportfile)
+ print('average lambda:', avg_lambda)
cwdstatus['EvaluateAverageLambda'] = avg_lambda
utils.store_status(cwdstatuspath, cwdstatus)
diff --git a/lib/myconfig.py b/lib/myconfig.py
index a5f4eec..4fa31d3 100644
--- a/lib/myconfig.py
+++ b/lib/myconfig.py
@@ -62,7 +62,7 @@ class MyConfig:
#the trained corpus size of model candidates
def getCandidateModelSize(self):
- candidate_model_size = 11.9 * 1024 * 1024 * 3
+ candidate_model_size = 11.9 * 1024 * 1024 * 2
return candidate_model_size
def getModelPostfix(self):