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spark
spark
Associate II
April 8, 2019
Solved

Validation failed

  • April 8, 2019
  • 1 reply
  • 1881 views

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

    This topic has been closed for replies.
    Best answer by jean-michel.d

    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

    1 reply

    J
    jean-michel.dBest answer
    ST Employee
    April 9, 2019

    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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