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When using RocketClassifier on moderate sized dataset of shape (15010, 1, 300), 16GB of RAM are not enough to perform the transform without issue. The problem is that, RDST, which is very similar in terms of operation performed and amount of data stored, runs without any problem.
Inspect and profile ROCKET transform code to see where the excessive memory consumption might come from compared to RDST.
Steps/Code to reproduce the bug
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Expected results
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Actual results
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Versions
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The text was updated successfully, but these errors were encountered:
Describe the bug
When using RocketClassifier on moderate sized dataset of shape (15010, 1, 300), 16GB of RAM are not enough to perform the transform without issue. The problem is that, RDST, which is very similar in terms of operation performed and amount of data stored, runs without any problem.
Steps/Code to reproduce the bug
No response
Expected results
N/A
Actual results
N/A
Versions
No response
The text was updated successfully, but these errors were encountered: