Fixed small summary with model architectures until now
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@@ -12,7 +12,7 @@
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- [x] Quantile Regression nakijken
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- [x] Test scores voor 96 values
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- [ ] (Optional) Andere modellen (LSTM?)
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- [x] Andere modellen (LSTM?)
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- [x] Non autoregressive Quantile Regression
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- [x] Fix debug plots for quantile regression -> predict quantiles and look if true value is below a quantile, if so 1 else 0 and average these over all samples
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@@ -23,11 +23,12 @@
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- [ ] Day-ahead implicit net position
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- [x] Faster sampling for quantile regression
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- [ ] Quantile plots for other model (Linear, GRU) (Check if better)
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- [x] Quantile plots for other model (Linear, GRU) (Check if better)
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- [ ] Check example plots to see if metrics correspond with what seen on plots
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- [x] Time step (96 values) to embedding layer
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- [x] Mean of nrv per time step plotten (done for probabilistic baseline)
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- [x] Convert back to MW on plots
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- [x] Background model training
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## 2. Autoregressive vs Non-Autoregressive
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