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Currently, grid_reduction = N builds up a dataset of size N one training point at a time. This maximizes the spacing of the points, but is slow when drawing N points from very large grids (> 1 million). Implement batch grid reduction as a keyword option grid_reduction_batch = 10. The spacing may be less robust, but the speed of selecting points will improve drastically.
The text was updated successfully, but these errors were encountered:
Currently,
grid_reduction = N
builds up a dataset of size N one training point at a time. This maximizes the spacing of the points, but is slow when drawing N points from very large grids (> 1 million). Implement batch grid reduction as a keyword optiongrid_reduction_batch = 10
. The spacing may be less robust, but the speed of selecting points will improve drastically.The text was updated successfully, but these errors were encountered: