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Currently, WMLA has multiple ways to use and customers have a steep learning curve. WMLA REST API supports all the different CP4D versions and platforms. To reduce the learning curve and also reduce the workload to support different ways to use WM...
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 &...
Watchdog/Timeout option for jobs, so jobs that run longer than x minutes are stopped
There are situations where WML and /or spark jobs are hanging/ running to long. My CP4D job developer have a good understanding of how long a job should run. In case of longer running jobs I as a CP4D administrator want that these jobs are aborted...
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...
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...
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...
We are seeing some latency on our platform when we submit a HPO job. When we submit a HPO job via WMLA we see that it is taking ~14 seconds to launch a trial in spite of asking number of parallel runs. Just to give you an idea, if we have latency ...
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