Comments (3)
Would you mind providing more details, e.g., the hyper-parameters, and what the original data looks like?
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感谢您能回复我,我访问了您的主页,发现您是清华大佬,如果不介意的话我想用中文来描述,可能比较准确一点。
date_attribute_outputs and data_feature_outputs:
我在两个地方改动了参数,第一个是example_train里面的config:
第二个是example_generate_data里面的config_generate_data:
date_attribute是五维的代表五种事件,data_feature是二维的,分别是纬度和经度,除以一个数使其范围变成了0-1。
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如果可以的话,我们可以邮件联系吗 PS: [email protected]
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Related Issues (20)
- membership_inference_attack HOT 6
- CLI getting stuck on running example_training/main.py HOT 2
- Dynamic attributes / attributes with time stamp? HOT 6
- Request for min/max used for feature and attribute normalization in input data HOT 2
- Incomplete training HOT 7
- unreasonable output HOT 6
- Dataset HOT 1
- About two MLPs HOT 1
- Training does not run although the input is of the required form HOT 6
- Generating time series with negative values HOT 4
- is_gen_flag HOT 4
- Attribute problematic result HOT 18
- Problem with tensorflow HOT 1
- Training time HOT 6
- Code of AR and HMM baseline
- unknown output type HOT 6
- Request for availability of the scripts used to reproduce figures HOT 8
- Inference from attributes HOT 3
- Unable to run main.py in example_training HOT 21
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