Nithurshen
Nithurshen
I also updated the ROCKAD docstring in `aeon/anomaly_detection/series/distance_based/_rockad.py`. The test was failing due to a minor floating-point precision mismatch (at the 8th decimal place, from `0.0699094` to `0.06990941`) caused by...
@shrit, I would like to work on this.
I have added #3113 implementing the 'MechaClassifier' in 'aeon.classification.feature_based' module. Lmk, if anything else should be added.
The CI pipeline is currently showing a failure ([PR pytest / pytest (windows-2022, 3.10, true) (pull_request)](https://github.com/aeon-toolkit/aeon/actions/runs/19417668314/job/55549152978?pr=3113)) that is external to my code: `FAILED aeon/clustering/averaging/tests/test_kasba.py::test_kasba_distance_params[distance7] - TypeError: bad argument type for...
@CCHe64, I have corrected bidirect_interleaving_mapping function, and have changed TSFresh to "efficient" and have run the following script: ```python import numpy as np from aeon.classification.feature_based import MechaClassifier from aeon.datasets import...
I am sorry, the previous test was ran on "Catch22". Now I have updated it with "TSFresh". But still I can only achieve 84% accuracy. Can you try it once?
I was able to achieve 84.57% when using TSFresh in 'comprehensive' mode. ``` Accuracy : 0.8457142857142858 Bidirectional Dilation Mapping [[ 0 2 4 6 8 10 12 14 16 18...
@CCHe64, When ran with 10 random seeds with the following code ```python import numpy as np from aeon.classification.feature_based import MechaClassifier from aeon.datasets import load_arrow_head trainSeriesX, trainY = load_arrow_head("TRAIN") testSeriesX, testY...
@CCHe64, Make sure you specify `basic_extractor="TSFresh"` while running the tests, as `Catch22` is still the default extractor. I haven't updated it yet because it is a soft-dependency, and I have...