Validation failed

spark · ‎2019-04-08

I generated my code (HAR model) and could validate the process with random numbers. But, when I want to validate with my custom data, there is an ''VALIDATION FAILED'' error. please find the attachment contain the error and my csv test file. The file contain 3-axis of data for jogging and contain 62 rows of samples. please let me know what the problem is.

Also I will appreciate if you upload a test csv file for custom data validation of HAR for better understanding. Thank you in advance

jean-michel.d · ‎2019-04-09

Hi,

Thanks for the provided files. In your case the provided txt is not correctly formatted. As indicated in the UM (section14.2). The expected file (.csv or .txt extension) should be a simple txt file with one input tensor by line (flattened input tensor) and the comma is used as separator (There is not check in the CUBE-AI).

HAR model expects an input tensor with a shape of (90,3,1). This implies that the provided file must have 270 values by line. And each value must be separated by a comma not a ';'.

Best Regards,

Jean-Michel

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jean-michel.d · ‎2019-04-09

Hi,

Thanks for the provided files. In your case the provided txt is not correctly formatted. As indicated in the UM (section14.2). The expected file (.csv or .txt extension) should be a simple txt file with one input tensor by line (flattened input tensor) and the comma is used as separator (There is not check in the CUBE-AI).

HAR model expects an input tensor with a shape of (90,3,1). This implies that the provided file must have 270 values by line. And each value must be separated by a comma not a ';'.

Best Regards,

Jean-Michel