Hands-On Deep Learning with Go

Mapping predictions to models

A great feature of Pachyderm—particularly for enterprise use cases—is the ability to version both your models and your predictions. Say you are predicting the chance a customer will repay a loan, and you see a batch of strange predictions. As part of troubleshooting why the model has made these decisions, if you are training multiple models across a large team, trawling through email chains and commit histories would be a bad idea!

So, work backward from the inference to the model, and simply run the following command:

#pachctl list job

You can then take the relevant commit hash and feed it to the following command, observing the details of the output:

#pachctl inspect job 9339d8d712d945d58322a5ac649d9239 ...