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Today, there are 2 apidoc of CP4D 2.5.
1. Data API (about Data Assets, Jobs, etc)
2. WML API (about Models, Deployment spaces, etc)
Deployed models of modeler flow or python scrypt should be version management or deployment management more easily.
Currently CP4D does NOT have any version management or deployment management of deployed models. As workaround, our customers create new files as difference name with older files so as to manage version or deployment.
More control over model train/test/holdout data cuts
Given that model can be affected by the set of data used for training it, it would be nice to have better control over how the data is split up.
A fairly easy improvement is to allow the user to set a seed for controlling the splits, so you can r...
Right now, users may discover that a pipeline has stopped or failed only when a part or all of their real-time dashboard stops updating, or when their object storage is no longer updating with new files.
The Tensorflow versions in the current WML CE Conda stream are currently significantly out of date. Code written in TF2.2+ is not easily backwards compatible with that of TF2.1, which is now over a year old. TF2.2+ brings significant improvements ...
Ouf of date: Tutorial Community Notebook: Putting a human face on machine learning
The community notebook "Putting a human face on machine learning" is not in the same state as the corresponding tutorial, but referenced in it.
Possibly every learner will stumble upon this - huge demotivator.
print scoring.text yields this 401...
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