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Fix RANSAC-breaking bug in RANSAC correlation window chunking code #67

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Apr 19, 2021
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Fix RANSAC-breaking bug in RANSAC correlation window chunking code #67

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8e97399
Fixed reshaping bug in RANSAC
a-hurst Apr 18, 2021
e82f111
Updated whats_new.rst
a-hurst Apr 18, 2021
dc157be
Improved whats_new.rst
a-hurst Apr 19, 2021
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1 change: 1 addition & 0 deletions docs/whats_new.rst
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Expand Up @@ -45,6 +45,7 @@ Bug
- Fixed RANSAC to give consistent results with a fixed seed across different chunk sizes, by `Austin Hurst`_ and `Yorguin Mantilla`_ (:gh:`43`)
- Fixed "bad channel by flat" threshold in :meth:`NoisyChannels.find_bad_by_nan_flat` to be consistent with MATLAB PREP, by `Austin Hurst`_ (:gh:`60`)
- Changed "bad channel by deviation" and "bad channel by correlation" detection code in :class:`NoisyChannels` to compute IQR and quantiles in the same manner as MATLAB, thus producing identical results to MATLAB PREP, by `Austin Hurst`_ (:gh:`57`)
- Fixed array-reshaping bug that broke RANSAC completely, by `Austin Hurst`_ (:gh:`67`)
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API
~~~
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10 changes: 6 additions & 4 deletions pyprep/ransac.py
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Expand Up @@ -273,16 +273,18 @@ def _ransac_correlations(

# For the actual data
data_window = data[chans_to_predict, : n * w_correlation]
data_window = data_window.reshape(len(chans_to_predict), n, w_correlation)
data_window = data_window.reshape(len(chans_to_predict), w_correlation, n)
data_window = data_window.swapaxes(1, 0)

# For the ransac predicted eeg
pred_window = ransac_eeg[: len(chans_to_predict), : n * w_correlation]
pred_window = pred_window.reshape(len(chans_to_predict), n, w_correlation)
pred_window = pred_window.reshape(len(chans_to_predict), w_correlation, n)
pred_window = pred_window.swapaxes(1, 0)

# Perform correlations
for k in range(w_correlation):
data_portion = data_window[:, :, k]
pred_portion = pred_window[:, :, k]
data_portion = data_window[k, :, :]
pred_portion = pred_window[k, :, :]

R = np.corrcoef(data_portion, pred_portion)

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