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Update index.rst #152

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Jun 12, 2023
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Update index.rst #152

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0f01212
Update index.rst
gcattan Jun 12, 2023
5666c39
Update plot_firebase_moabb.py
gcattan Jun 12, 2023
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12 changes: 6 additions & 6 deletions doc/index.rst
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Expand Up @@ -32,19 +32,19 @@ pyRiemann-qiskit: Qiskit wrapper for pyRiemann
<img src="_images/sphx_glr_plot_classify_EEG_quantum_thumb.png">
</div>
</a>
<a href="auto_examples/ERP/classify_P300_bi.html">
<a href="auto_examples/ERP/plot_classify_P300_bi.html">
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<img src="_images/sphx_glr_classify_P300_bi_thumb.png">
<img src="_images/sphx_glr_plot_classify_P300_bi_thumb.png">
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<a href="auto_examples/ERP/firebase_moabb.html">
<a href="auto_examples/ERP/plot_firebase_moabb.html">
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<img src="_images/sphx_glr_firebase_moabb_thumb.png">
<img src="_images/sphx_glr_plot_firebase_moabb_thumb.png">
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<a href="auto_examples/ERP/compare_dim_red.html">
<a href="auto_examples/ERP/plot_compare_dim_red.html">
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<img src="_images/sphx_glr_compare_dim_red_thumb.png">
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<a href="auto_examples/toys_dataset/plot_classifier_comparison.html">
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9 changes: 5 additions & 4 deletions examples/ERP/plot_firebase_moabb.py
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@@ -1,9 +1,10 @@
"""
====================================================================
Classification of P300 datasets from MOABB
Classification of P300 datasets from MOABB with cache
====================================================================

It demonstrates the QuantumClassifierWithDefaultRiemannianPipeline(). This
It demonstrates the use of firebase cache for MOABB with
the QuantumClassifierWithDefaultRiemannianPipeline(). This
pipeline uses Riemannian Geometry, Tangent Space and a quantum SVM
classifier. MOABB is used to access many EEG datasets and also for the
evaluation and comparison with other classifiers.
Expand All @@ -18,8 +19,8 @@
A list of real quantum computers is available in your IBM quantum account.

"""
# Author: Anton Andreev
# Modified from plot_classify_EEG_tangentspace.py of pyRiemann
# Author: Anton Andreev, Gregoire Cattan
# Modified from plot_classify_P300_bi.py
# License: BSD (3-clause)

from pyriemann.estimation import XdawnCovariances
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