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ML
ffm-baseline
Commits
70b05e4a
Commit
70b05e4a
authored
May 15, 2019
by
张彦钊
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add write_data.sh
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5da4b7b6
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eda/esmm/Model_pipline/submit.sh
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70b05e4a
...
@@ -42,5 +42,3 @@ ${PYTHON_PATH} ${MODEL_PATH}/train.py --ctr_task_wgt=0.5 --learning_rate=0.0001
...
@@ -42,5 +42,3 @@ ${PYTHON_PATH} ${MODEL_PATH}/train.py --ctr_task_wgt=0.5 --learning_rate=0.0001
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
=
2000
--field_size
=
15
--feature_size
=
300000
--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
}
/nearby_infer.log
${
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
=
2000
--field_size
=
15
--feature_size
=
300000
--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
}
/nearby_infer.log
echo
"sort and 2sql"
${
PYTHON_PATH
}
${
MODEL_PATH
}
/to_database.py
>
${
DATA_PATH
}
/insert_database.log
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