2 ms·
To avoid copying the training set you can increase the temperature at sampling time. This should trade off between accuracy (maximum likelihood) and quirkiness
by mxwsn 7y ago
To avoid copying the training set you can increase the temperature at sampling time. This should trade off between accuracy (maximum likelihood) and quirkiness (more stochastic background).
- minimaxir 7y agoSee the dumps for various sampling temperatures. Even at 1.2 (versus 0.7), there is some evidence of overfitting. The app uses a random temperature between 0.7 and 1.2 to prevent it from going off-the-rails.