This portal is to open public enhancement requests against products and services offered by the IBM Data & AI organization. To view all of your ideas submitted to IBM, create and manage groups of Ideas, or create an idea explicitly set to be either visible by all (public) or visible only to you and IBM (private), use the IBM Unified Ideas Portal (https://ideas.ibm.com).
Shape the future of IBM!
We invite you to shape the future of IBM, including product roadmaps, by submitting ideas that matter to you the most. Here's how it works:
Search existing ideas
Start by searching and reviewing ideas and requests to enhance a product or service. Take a look at ideas others have posted, and add a comment, vote, or subscribe to updateson them if they matter to you. If you can't find what you are looking for,
Post your ideas
Post ideas and requests to enhance a product or service. Take a look at ideas others have posted and upvote them if they matter to you,
Post an idea
Upvote ideas that matter most to you
Get feedback from the IBM team to refine your idea
Specific links you will want to bookmark for future use
Add functionality to export tensorflow (and keras) models as tensorflow.lite and tensorflow.js to support running on devices and in the browser
Tensorflow.lite allows running models on devices rather than having to use server side apis. Similarly, it would be great if we could export tensorflow.js code.
This is similar in concept to Core ML but Core ML only supports ios.
Insert to code functionality is great to enable quick access to data - I should be able to do the same thing for Watson services (e.g. WML, Image Recogniton) to quickly add credentials to these services into my notebook, without having to go to th...
WML provides the automated model build experience though, it would be nice to have the cheating sheets for the algorithm selection as to the user will be able to understand how it should work.Example: Microsoft Azure has; https://docs.microsoft.co...
//WHY CANT YOU JUST LINK ME INSTEAD OF TELLING ME THIS?// NOTE: you must manually construct wml_credentials hash map below using information retrieved
// from your IBM Cloud Watson Machine Learning Service instance
MS Azure ML and other ML vender solution has more algorithms than WML Model builder provides. i.e., Azure ML has more algorithms; https://docs.microsoft.com/en-us/azure/machine-learning/studio/algorithm-choice
WML only has supervised learning - ...
Read/Write files on ICOS (IaaS) from/to WML model builder
Currently WML (Watson Machine Learning) model builder allows to read/write files on ICOS (PaaS) but not with ICOS (IaaS). Some data required to be stored on private storage and therefore data to be trained/retrained also on ICOS IaaS.
Do not place IBM confidential, company confidential, or personal information into any field.