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WMLA EDT: Customization, Minimal Example & Documentation
Client asks how to use and customize the elastic distributed training (EDT) feature of WML-A. They explicitly complained about the lack of a detailed documentation (being aware of WMLA/Spectrum Conductor documentation in the knowledge center &...
It would be nice to have the GPU utilization metrics used in WMLA also introduced to the main monitoring dashboard of core CP4D. This is so that we still have a single monitoring dashboard for all services of CP4D.
TensorBoard is TensorFlow’s visualization toolkit enables tracking metrics like loss and accuracy, visualize the model graph, view histograms of weights, biases, or other tensors as they change over time, and much more. A managed TensorBoard suppo...
Interactive Elastic Distributed Training notebook in Watson Studio
Watson Machine Learning Accelerator Elastic Distributed Training (EDT) simplifies the distribution of training workloads for the data scientist. Deep learning experiment in Watson studio provide the UI to submit job in WMLA , but this is not inter...
Currently indirect bias detection works for independent features. For ex: race may have a high correlation with zip code, income etc. But need to do the same for composite features like black female, or young black female. Sometimes these protecte...
fabric files for both x86 and ppc64le on Same Cluster if HPO Models are running on
https://jazz07.rchland.ibm.com:21443/jazz/web/projects/pc-management#action=com.ibm.team.workitem.viewWorkItem&id=266399 Customer will be purchasing more x86 nodes shortly to add to cluster. Customer needs permanent solution
Support RBFOpt as one of the hyperparameter optimization algorithms in WMLA
Watson Studio supports RBFOpt off the shelf (see https://dataplatform.cloud.ibm.com/docs/content/wsj/analyze-data/ml_dlaas_hpo.html), but WMLA doesn't. The inconsistency between both platforms is surprising, and taking into consideration that RBFO...
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