Fourier Transform for Anamoly Detection – KNIME Community Hub

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In this workflow I demonstrate how the Fourier Transform along with basic aggregations and rule settings can be used to automatically detect anomalies on when armed with only "normal" data.

This is a companion discussion topic for the original entry at https://hub.knime.com/-/spaces/-/latest/~L4YkW2V8HwTZfmtf/
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hello,
I had dragged and drop above example in knime
but getting error when executed the node FFT
Could not start Python executable at the given location (no_conda_environment_selected\python.exe): Cannot run program “no_conda_environment_selected\python.exe”: CreateProcess error=2, The system cannot find the file specified

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Hi @shilpaSE and welcome to the forum.

Are you using an older version of KNIME? Older versions don’t come with a Python environment bundled like the newer ones do. You might need to check our documentation on how to setup KNIME to use Python: KNIME Python Integration Guide