Do we think we could combine the "Copy your Model ID " and "Adding the classifierID" sections so the steps read more chronologically? Specifically it would be more natural for a user to copy and paste each field into XCode independently (ie making step 2 in "adding the classifierID" come after step 3 in "Copy your Model", etc).
Following current instructions, users are likely to replace Model
Are periods allowed in filenames? I'm getting an error from SAI:
OSError: [Errno 2] No such file or directory:
'/Users/foo/filtered/Recording_Start2017-11-10T19-16-31-538Z_Part000_Dur.wav'
The original source filename is: /Users/foo/Recording_Start.2017-11-10T19-16-31-538Z_Part.000_Dur.0m24s373.wav
Is SAI stripping out characters from the filename?
I will also note that the `~
The module "Discovery Document Loader" loads document content (the msg.payload), under an attribute named "value", when the standard expectation is to have it under the attribute named "text" in Discovery.
This requires to enrich the "value" field, generating "enriched_value" instead of "enriched_text", which is non-standard and a client application may fail if enrichments are not where expected
A simple web app that shows how Watson's Natural Language Classifier (NLC) can classify ICD-10 code. The app is written in Python using the Flask framework and leverages the Watson Developer Cloud Python SDK
A Jupyter notebook that uses the Watson Visual Recognition and Natural Language Understanding services to enrich Facebook Analytics and uses Cognos Dashboard Embedded to explore and visualize the results in Watson Studio
WA services created after December 13th, 2019, have a different WA service endpoint: https://cloud.ibm.com/apidocs/assistant/assistant-v1#service-endpoint. The default endpoint values in the config.ini.sample file as well as the documentation needs to be updated to reflect this change.
Hi! thanks for open sourcing this big effort!
Would it be possible to compare this solution to Kubeflow which contains Seldon-Core and an example.
And finally, if you have some time, compare to [PipelineAI](https://