turtles / data /stats_case_weighted.yaml
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Add case-weighted normalisation statistics (each training trajectory counts equally)
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# TurtLES normalisation statistics: train split(s), 320 cases,
# all 400 frames and all points per case, weighting = cases.
# delta = x(t+1) - x(t) between consecutive saved frames (399 per case).
mean:
p: 0.9915
rho: 0.99195
u: 0.19144
v: 0.00053878
w: 8.3904e-06
rms:
p: 0.99165
rho: 0.99206
u: 0.21815
v: 0.069433
w: 0.030743
std:
p: 0.016981
rho: 0.014865
u: 0.10459
v: 0.069431
w: 0.030743
mean_delta:
p: -5.7213e-08
rho: -4.8532e-08
u: 6.1494e-08
v: -2.8449e-07
w: -1.6985e-08
rms_delta:
p: 0.0010256
rho: 0.0010874
u: 0.0090419
v: 0.010083
w: 0.0097833
std_delta:
p: 0.0010256
rho: 0.0010874
u: 0.0090419
v: 0.010083
w: 0.0097833