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ML
ffm-baseline
Commits
9ff574c0
Commit
9ff574c0
authored
Jun 05, 2019
by
王志伟
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Merge branch 'master' of
http://git.wanmeizhensuo.com/ML/ffm-baseline
parents
8334e7e2
dbd0583a
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submit.sh
eda/esmm/Model_pipline/submit.sh
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eda/esmm/Model_pipline/submit.sh
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9ff574c0
...
@@ -11,19 +11,20 @@ echo $LD_LIBRARY_PATH
...
@@ -11,19 +11,20 @@ echo $LD_LIBRARY_PATH
echo
"rm model file"
echo
"rm model file"
rm
-r
${
LOCAL_PATH
}
/model_ckpt/DeepCvrMTL/20
*
#rm -r ${LOCAL_PATH}/model_ckpt/DeepCvrMTL/20*
/opt/hadoop/bin/hadoop fs
-rm
-r
-skipTrash
${
HDFS_PATH
}
/model_ckpt/DeepCvrMTL/
b
=
`
date
+%Y%m%d
`
b
=
`
date
+%Y%m%d
`
echo
"train..."
echo
"train..."
${
PYTHON_PATH
}
${
MODEL_PATH
}
/train.py
--ctr_task_wgt
=
0.5
--learning_rate
=
0.0001
--deep_layers
=
512,256,128,64,32
--dropout
=
0.3,0.3,0.3,0.3,0.3
--optimizer
=
Adam
--num_epochs
=
1
--embedding_size
=
16
--batch_size
=
10000
--field_size
=
15
--feature_size
=
600000
--l2_reg
=
0.005
--log_steps
=
100
--num_threads
=
36
--model_dir
=
${
LOCAL
_PATH
}
/model_ckpt/DeepCvrMTL/
--local_dir
=
${
LOCAL_PATH
}
--hdfs_dir
=
${
HDFS_PATH
}
/native
--task_type
=
train
${
PYTHON_PATH
}
${
MODEL_PATH
}
/train.py
--ctr_task_wgt
=
0.5
--learning_rate
=
0.0001
--deep_layers
=
512,256,128,64,32
--dropout
=
0.3,0.3,0.3,0.3,0.3
--optimizer
=
Adam
--num_epochs
=
1
--embedding_size
=
16
--batch_size
=
10000
--field_size
=
15
--feature_size
=
600000
--l2_reg
=
0.005
--log_steps
=
100
--num_threads
=
36
--model_dir
=
${
HDFS
_PATH
}
/model_ckpt/DeepCvrMTL/
--local_dir
=
${
LOCAL_PATH
}
--hdfs_dir
=
${
HDFS_PATH
}
/native
--task_type
=
train
echo
"infer native..."
echo
"infer native..."
${
PYTHON_PATH
}
${
MODEL_PATH
}
/train.py
--ctr_task_wgt
=
0.5
--learning_rate
=
0.0001
--deep_layers
=
512,256,128,64,32
--dropout
=
0.3,0.3,0.3,0.3,0.3
--optimizer
=
Adam
--num_epochs
=
1
--embedding_size
=
16
--batch_size
=
10000
--field_size
=
15
--feature_size
=
600000
--l2_reg
=
0.005
--log_steps
=
100
--num_threads
=
36
--model_dir
=
${
LOCAL
_PATH
}
/model_ckpt/DeepCvrMTL/
--local_dir
=
${
LOCAL_PATH
}
/native
--hdfs_dir
=
${
HDFS_PATH
}
/native
--task_type
=
infer
${
PYTHON_PATH
}
${
MODEL_PATH
}
/train.py
--ctr_task_wgt
=
0.5
--learning_rate
=
0.0001
--deep_layers
=
512,256,128,64,32
--dropout
=
0.3,0.3,0.3,0.3,0.3
--optimizer
=
Adam
--num_epochs
=
1
--embedding_size
=
16
--batch_size
=
10000
--field_size
=
15
--feature_size
=
600000
--l2_reg
=
0.005
--log_steps
=
100
--num_threads
=
36
--model_dir
=
${
HDFS
_PATH
}
/model_ckpt/DeepCvrMTL/
--local_dir
=
${
LOCAL_PATH
}
/native
--hdfs_dir
=
${
HDFS_PATH
}
/native
--task_type
=
infer
echo
"infer nearby..."
echo
"infer nearby..."
${
PYTHON_PATH
}
${
MODEL_PATH
}
/train.py
--ctr_task_wgt
=
0.5
--learning_rate
=
0.0001
--deep_layers
=
512,256,128,64,32
--dropout
=
0.3,0.3,0.3,0.3,0.3
--optimizer
=
Adam
--num_epochs
=
1
--embedding_size
=
16
--batch_size
=
10000
--field_size
=
15
--feature_size
=
600000
--l2_reg
=
0.005
--log_steps
=
100
--num_threads
=
36
--model_dir
=
${
LOCAL
_PATH
}
/model_ckpt/DeepCvrMTL/
--local_dir
=
${
LOCAL_PATH
}
/nearby
--hdfs_dir
=
${
HDFS_PATH
}
/nearby
--task_type
=
infer
${
PYTHON_PATH
}
${
MODEL_PATH
}
/train.py
--ctr_task_wgt
=
0.5
--learning_rate
=
0.0001
--deep_layers
=
512,256,128,64,32
--dropout
=
0.3,0.3,0.3,0.3,0.3
--optimizer
=
Adam
--num_epochs
=
1
--embedding_size
=
16
--batch_size
=
10000
--field_size
=
15
--feature_size
=
600000
--l2_reg
=
0.005
--log_steps
=
100
--num_threads
=
36
--model_dir
=
${
HDFS
_PATH
}
/model_ckpt/DeepCvrMTL/
--local_dir
=
${
LOCAL_PATH
}
/nearby
--hdfs_dir
=
${
HDFS_PATH
}
/nearby
--task_type
=
infer
echo
"sort and 2sql"
echo
"sort and 2sql"
${
PYTHON_PATH
}
${
MODEL_PATH
}
/to_database.py
${
PYTHON_PATH
}
${
MODEL_PATH
}
/to_database.py
...
...
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