Add a new benchmark over many datasets #264
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It gives an error: AttributeError: Pipeline has none of the following attributes: decision_function.
Added an example that runs on a small number of test samples, so that we can get results quicker.
- limite size of training set - change to slsqp optimizer
Merge branch 'main' of https://github.com/toncho11/pyRiemann-qiskit-rep
Added second parameter that specifies the number of hulls.
Added support for transform(). Added a new pipeline [NCH+LDA]
Improvements requested by GC.
…Imagery databases. It automatically handles paradigms and pipelines differences.
Added documentation. Improved statistical plots. Added parameters.
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@toncho11 Do you want to update up-merge your branch and update your code with the latest changes? I could reuse this pipeline also to benchmark the NCH. |
gcattan
approved these changes
Jun 24, 2024
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But this benchmark requires the latest version of MOABB from git. |
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I mean after MOABB 1.1.0. |
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It does include many P300 and Motor Imagery datasets.
It adapts both the paradigms and the pipelines.
And most importantly it runs statistics to show if the results are significant (using moabb).
The initial version can be run already.
Currently it requires the latest version of MOABB from github where:
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cache_configparameter is availabe for WithinSessionEvaluation()- this bug is fixed: NeuroTechX/moabb#514