better baseline

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wassname
2019-11-09 08:20:23 +08:00
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@@ -37,11 +37,14 @@ I chose a a difficult example below, it's a window in the test set that deviates
![](docs/19.png)
### Baseline
Compare this to a quick LSTM baseline below, which didn't predict this divergance from the pattern. (Bear in mind that I didn't tweak this model as much). The uncertainty and prediction are also less smooth and the log probability is lower.
![](docs/lstm_with_context.png)
![](docs/lstm_baseline.png)
## Code
This is based on the code listed in the next section, with some changes. The most notable ones add stability, others are to make sure it can handle predicting into the future:
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