When the dataset has one data point and a frac < 1 the code here
|
trmax = int(frac * ndata) |
rounds the number of training points to zero, and so the dataset end in validation for all replicas. This may cause some total cross sections like ATLASTTBARTOT7TEV to end up with a somewhat worse chi2.
When the dataset has one data point and a
frac< 1 the code herennpdf/validphys2/src/validphys/n3fit_data.py
Line 95 in 43e7e75
rounds the number of training points to zero, and so the dataset end in validation for all replicas. This may cause some total cross sections like ATLASTTBARTOT7TEV to end up with a somewhat worse chi2.