AMD

examples/deconvolution/partitions.py

@@ -11,7 +11,6 @@
 #     language: python
 #     name: python3
 # ---
-# sphinx_gallery_thumbnail_number = 6
 
 """
 .. _exa-data_split:
@@ -25,6 +24,7 @@
 ----------
 During boosting, every training step consists in modifying one element of the kernel/TRF. After every such step, the new TRF is evaluated against the validation data. For continuous data (without :class:`Case` dimension), the default is to split the data into 10 equal-length segments, and perform 10 model fits, each using one of the segments as validation set. In the plots below, each "Split" shown on the y-axis corresponds to a separate run of the boosting algorithm. The results returned by the :func:`boosting` function would be based on to the average TRF of those 10 runs.
 """
+# sphinx_gallery_thumbnail_number = 6
 from eelbrain import *