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ML
ffm-baseline
Commits
5d0b1789
Commit
5d0b1789
authored
Mar 11, 2019
by
张彦钊
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pipeline.sh
tensnsorflow/es/pipeline.sh
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tensnsorflow/es/pipeline.sh
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5d0b1789
...
...
@@ -32,15 +32,15 @@ rm ${DATA_PATH}/nearby/nearby_*
echo
"train..."
${
PYTHON_PATH
}
${
MODEL_PATH
}
/train.py
--ctr_task_wgt
=
0.9
--learning_rate
=
0.0001
--deep_layers
=
1024,512,256,128,64,32
--dropout
=
0.
3,0.3,0.3,0.3,0.3,0.3
--optimizer
=
Adam
--num_epochs
=
2
--embedding_size
=
16
--batch_size
=
1024
--field_size
=
11
--feature_size
=
2000
--l2_reg
=
0.005
--log_steps
=
100
--num_threads
=
36
--model_dir
=
${
DATA_PATH
}
/model_ckpt/DeepCvrMTL/
--data_dir
=
${
DATA_PATH
}
--task_type
=
train
${
PYTHON_PATH
}
${
MODEL_PATH
}
/train.py
--ctr_task_wgt
=
0.9
--learning_rate
=
0.0001
--deep_layers
=
1024,512,256,128,64,32
--dropout
=
0.
2,0.2,0.2,0.2,0.2,0.2
--optimizer
=
Adam
--num_epochs
=
2
--embedding_size
=
16
--batch_size
=
1024
--field_size
=
11
--feature_size
=
2000
--l2_reg
=
0.005
--log_steps
=
100
--num_threads
=
36
--model_dir
=
${
DATA_PATH
}
/model_ckpt/DeepCvrMTL/
--data_dir
=
${
DATA_PATH
}
--task_type
=
train
echo
"infer native..."
${
PYTHON_PATH
}
${
MODEL_PATH
}
/train.py
--ctr_task_wgt
=
0.9
--learning_rate
=
0.0001
--deep_layers
=
1024,512,256,128,64,32
--dropout
=
0.
3,0.3,0.3,0.3,0.3,0.3
--optimizer
=
Adam
--num_epochs
=
1
--embedding_size
=
16
--batch_size
=
1024
--field_size
=
11
--feature_size
=
2000
--l2_reg
=
0.005
--log_steps
=
100
--num_threads
=
36
--model_dir
=
${
DATA_PATH
}
/model_ckpt/DeepCvrMTL/
--data_dir
=
${
DATA_PATH
}
/native
--task_type
=
infer
>
${
DATA_PATH
}
/infer.log
${
PYTHON_PATH
}
${
MODEL_PATH
}
/train.py
--ctr_task_wgt
=
0.9
--learning_rate
=
0.0001
--deep_layers
=
1024,512,256,128,64,32
--dropout
=
0.
2,0.2,0.2,0.2,0.2,0.2
--optimizer
=
Adam
--num_epochs
=
1
--embedding_size
=
16
--batch_size
=
1024
--field_size
=
11
--feature_size
=
2000
--l2_reg
=
0.005
--log_steps
=
100
--num_threads
=
36
--model_dir
=
${
DATA_PATH
}
/model_ckpt/DeepCvrMTL/
--data_dir
=
${
DATA_PATH
}
/native
--task_type
=
infer
>
${
DATA_PATH
}
/infer.log
echo
"infer nearby..."
${
PYTHON_PATH
}
${
MODEL_PATH
}
/train.py
--ctr_task_wgt
=
0.9
--learning_rate
=
0.0001
--deep_layers
=
1024,512,256,128,64,32
--dropout
=
0.
3,0.3,0.3,0.3,0.3,0.3
--optimizer
=
Adam
--num_epochs
=
1
--embedding_size
=
16
--batch_size
=
1024
--field_size
=
11
--feature_size
=
2000
--l2_reg
=
0.005
--log_steps
=
100
--num_threads
=
36
--model_dir
=
${
DATA_PATH
}
/model_ckpt/DeepCvrMTL/
--data_dir
=
${
DATA_PATH
}
/nearby
--task_type
=
infer
>
${
DATA_PATH
}
/infer.log
${
PYTHON_PATH
}
${
MODEL_PATH
}
/train.py
--ctr_task_wgt
=
0.9
--learning_rate
=
0.0001
--deep_layers
=
1024,512,256,128,64,32
--dropout
=
0.
2,0.2,0.2,0.2,0.2,0.2
--optimizer
=
Adam
--num_epochs
=
1
--embedding_size
=
16
--batch_size
=
1024
--field_size
=
11
--feature_size
=
2000
--l2_reg
=
0.005
--log_steps
=
100
--num_threads
=
36
--model_dir
=
${
DATA_PATH
}
/model_ckpt/DeepCvrMTL/
--data_dir
=
${
DATA_PATH
}
/nearby
--task_type
=
infer
>
${
DATA_PATH
}
/infer.log
echo
"sort and 2sql"
${
PYTHON_PATH
}
${
MODEL_PATH
}
/to_database.py
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