Jim Thompson

@farazk86 In regards to the tagger decoder, you don't have to use to determine the sequence length. When a prediction is returned, the length of the sequence is returned as...

Right now it requires use of the api.

@Karmadon Thank you for submitting this question. As of this point Ludwig supports only Python bindings. I'll mark your questions as potential feature request. At this point, however, it is...

Key requirement is to provide backward compatibility. Additional details on the proposal. The signature for the `optimise()` method of the `Optimiser()` class will change to be ``` def optimise(self, space,...

@AxeldeRomblay Thank you for the feedback. I understand the you'd like to hide mlflow as much as possible from the user. This should be doable. One implication of this approach...

@AxeldeRomblay This is initial attempt at hiding mlflow integration with mlbox. This code fragment from the pytest module testing mlflow integration show the sequence of api calls ``` space =...

@AxeldeRomblay Here is a status update on the work. I understand a key requirement is to hide the mlflow api from someone using mlbox. While this is possible, I believe...

@nfmcclure just checking to see if you want help with this. I have some examples of model save/restore in the context of transfer learning using the MNIST data set. In...

@kimwnasptd thank you for the suggestion. > In my case I mitigated these errors by increasing my laptop's `fs.inotify.max_user_{watches,instances}` settings. I just want to confirm the parameter names cited are...

@dalianaliu Once I'm done with the torchvision integraiton work, I can take a stab at this.