Add FGCNN model #784
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Add FGCNN model #784
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yinhaofeng
reviewed
Jun 7, 2022
datasets/criteo_fgcnn/download.sh
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| wget --no-check-certificate https://paddlerec.bj.bcebos.com/datasets/fgcnn/datapro.zip | |||
| unzip -o datapro.zip | |||
models/rank/fgcnn/config.yaml
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| runner: | ||
| train_data_dir: "data/trainlite" | ||
| train_reader_path: "reader" # importlib format | ||
| use_gpu: True |
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demo数据下默认不开启gpu，然后demo训练时间需要在一分钟以内
| # global settings | ||
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| runner: | ||
| train_data_dir: "data/train" |
| use_gpu: True | ||
| use_auc: True | ||
| train_batch_size: 2000 | ||
| epochs: 2 |
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全量数据训练的epoch和readme中描述的不一致
models/rank/fgcnn/dygraph_model.py
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| # construct train forward phase | ||
| def train_forward(self, dy_model, metrics_list, batch_data, config): | ||
| # 稠密向量 |
| return self.embedding(inputs) | ||
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| class FGCNNLayer(nn.Layer): |
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组网里多加点注释吧，可以让其他用户更明白的看懂代码
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| ## 运行环境 | ||
| PaddlePaddle>=2.0 | ||
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models/rank/fgcnn/readme.md
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| sh download.sh | ||
| cd ../.. | ||
| mkdir ./models/rank/fgcnn/data/train | ||
| mkdir ./models/rank/fgcnn/data/test |
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不用挪移到rank目录下，全量数据直接放在datasets目录下即可。在run.sh脚本中创建trian和test目录
models/rank/fgcnn/readme.md
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| 在全量数据下模型的指标如下： | ||
| | 模型 | auc | batch_size | epoch_num| Time of each epoch | | ||
| | :------| :------ | :------ | :------| :------ | | ||
| | fgcnn | 0.8022 | 2000 | 10 | 约 3 小时 | |
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模型epoch信息和全量数据config_bigdata中没有对上
yinhaofeng
reviewed
Jun 7, 2022
frankwhzhang
approved these changes
Jun 15, 2022
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Add model and datatsets
PR changes
Add new model fgcnn;Add dataset criteo_fgcnn;Add fgcnn tipc config