I’ve reached an essential milestone after in depth testing and experimentation. It’s not nearly operating many coaching passes or making an attempt completely different mixtures 🔁.
It’s additionally not sufficient to combine ensembles throughout fashions, architectures, timeframes, thresholds, and studying guidelines 🤖📉📈. The true breakthrough is knowing that we want a single, structured “grasp sweep” of all doable variants.
Now I’ve a typical ensemble construction constructed from an outlined set of fashions 🧩. For every of those ensembles, I generate a number of optimized variations, for instance the highest 10 from all coaching runs. This results in roughly 4,000+ variations of ordinary ensembles, or much more than 40,000 complete configurations 🔥.
That is the total search area that must be explored to correctly consider efficiency throughout all mixtures. On prime of that, I consider outcomes throughout two separate check durations to make sure robustness and consistency. This method removes guesswork and replaces it with systematic, exhaustive protection of prospects ⚙️.
If there’s a actually steady, high-performing configuration hidden on this area, this technique will floor it 🔍. The thought is straightforward: go away nothing untested that might doubtlessly matter. With this degree of construction and scale, I’m maximally positioned to establish the strongest sign mixtures 🚀.
If a legitimate edge exists throughout these situations, it is going to be discovered by this course of 💡🔥 inside a number of days… or possibly even hours… alright, possibly 2-3 days…
And under is one variation amonth the 4,000+ variations:
=== live_h6_tcn + nice_h6_trans + nice_h2_trans ===
ens0: hist=+12577.0 / 314 check=+835.9 / 19 sig=0.44/0.48 qlt=0.35/0.3
ens0: hist=+10858.8 / 167 check=+900.2 / 11 sig=0.45/0.55 qlt=0.52/0.35
ens1: hist=+13781.2 / 242 check=+769.0 / 13 sig=0.42/0.46 qlt=0.36/0.47
ens1: hist=+13160.3 / 177 check=+873.2 / 13 sig=0.41/0.49 qlt=0.43/0.46
ens2: hist=+10283.9 / 230 check=+1364.6 / 8 sig=0.4/0.48 qlt=0.37/0.5
ens2: hist=+11571.6 / 265 check=+834.8 / 7 sig=0.43/0.51 qlt=0.41/0.47
ens3: hist=+13921.5 / 245 check=+771.8 / 13 sig=0.47/0.54 qlt=0.47/0.41
ens3: hist=+13956.5 / 291 check=+695.9 / 13 sig=0.48/0.53 qlt=0.46/0.38
ens4: hist=+10400.5 / 114 check=+589.5 / 11 sig=0.41/0.59 qlt=0.55/0.44
ens4: hist=+12737.8 / 507 check=+297.7 / 46 sig=0.45/0.48 qlt=0.44/0.38
ens5: hist=+12852.0 / 231 check=+840.8 / 13 sig=0.42/0.48 qlt=0.43/0.44
ens5: hist=+12264.1 / 194 check=+1023.1 / 11 sig=0.41/0.5 qlt=0.45/0.41
ens6: hist=+8095.7 / 129 check=+1132.0 / 4 sig=0.53/0.59 qlt=0.58/0.43
ens6: hist=+13593.5 / 213 check=+1164.1 / 8 sig=0.4/0.52 qlt=0.46/0.38
ens7: hist=+11901.9 / 264 check=+779.0 / 8 sig=0.44/0.51 qlt=0.49/0.3
ens7: hist=+11726.7 / 214 check=+865.1 / 6 sig=0.43/0.52 qlt=0.51/0.45
ens8: hist=+12077.7 / 262 check=+809.8 / 32 sig=0.49/0.51 qlt=0.41/0.38
ens8: hist=+6980.5 / 71 check=+1159.2 / 4 sig=0.46/0.6 qlt=0.6/0.53
ens9: hist=+10830.7 / 166 check=+1030.9 / 11 sig=0.47/0.57 qlt=0.54/0.41
ens9: hist=+11642.1 / 212 check=+890.1 / 8 sig=0.45/0.53 qlt=0.45/0.39
hist: avg=+11760.7 min=+6980.5 max=+13956.5 pos=20/20
check: avg=+881.3 min=+297.7 max=+1364.6 pos=20/20
