Qingpeng Cai

The number of the variables is still 17 in this version?

1

hi, Does the dataset that is cleaned in the current version still only have the 17 variables, not with another 50 variables? Thanks

Update inline comments for cifar_distributed_cnn resnet_cifar10

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Update inline comments for cifar_distributed_cnn resnet_cifar10

data normalization in data preprocessing

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Is it necessary to standardize the data before it enters the model? (e.g. avg-std normalization) Thanks, Qingpeng

About the time information

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It seems like you preprocess the time difference into the regular interval (e.g. an hour), but how to deal with the time interval if we deal with the clinical records...

If we use int32 to store the time(i.e., the time interval), we can only analyze 68 years because of the INT32 ranges in [-2147483648, 2147483647]. For more details, please check...

need to support the list functions in the cohortselector layout. or we need run multiple times to get the meaningful results.

In eCommerce use-cases, we always need to group users based on several events (i.e., selectors), and the COOL system should support this functionality.

Need for more use-cases (i.e. applications)

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we need to add more use-cases to valid and improve our system.

System can not well support the `NULL` value

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Currently, the COOL system cannot support the `NULL` value in the INT type columns, and it will assign `NULL` as a separate class for String type columns. Maybe we can...

Please update the function and unit test for the funnel analysis