I couldn’t find the code of the write_prediction method.
- Assuming that it dumps the data onto disk at every call without using asynchronous process, isn’t it inefficient?
I’m using the code of @will, and I found a hack to get my job done. However, I was wondering if I want to accumulate predictions
- Can I gather them into an attribute of the Trainer instance, i.e.
self? Any caveats with that approach namely as part of a distributed setup?