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Notebook for Rimeannian Geometric Classification #33

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4 of 8 tasks
JadinTredup opened this issue Dec 2, 2020 · 1 comment
Open
4 of 8 tasks

Notebook for Rimeannian Geometric Classification #33

JadinTredup opened this issue Dec 2, 2020 · 1 comment
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bhg2020 Brainhack global 2020 sub-project enhancement New feature or request
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@JadinTredup
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JadinTredup commented Dec 2, 2020

Start notebook on explaining the differences in Riemannian Geometric Classification methods. Topics to include:

  • Cell for fetching datasets for each individual task using the eegnb.datasets.datasets.fetch_dataset
  • Cell for loading datasets using eegnb.analysis.utils.load_dataset
  • Differences between Minimum Distance to Mean (MDM) and Tangent Space (TS)
  • Process for applying RGC to SSVEP
  • Process for applying RGC to Motor Imagery
  • Process for applying RGC to ERP
  • Compare methods to standard vectorization + logistic regression results
  • Add Notion2 data to google drive
@JohnGriffiths JohnGriffiths added the bhg2020 Brainhack global 2020 sub-project label Dec 2, 2020
@JohnGriffiths JohnGriffiths added the enhancement New feature or request label Mar 19, 2021
@JohnGriffiths JohnGriffiths added this to the q3-2021 milestone Mar 19, 2021
@JohnGriffiths JohnGriffiths linked a pull request Mar 19, 2021 that will close this issue
@JohnGriffiths
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PR on this here

#55

We will leave comments in the review there.

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bhg2020 Brainhack global 2020 sub-project enhancement New feature or request
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