Cesar De la Torre
Cesar De la Torre
Scoring with the exported ONNX model is very slow compared to original Scikit-Learn model: When doing 294 predictions with the exported ONNX model needs 1.3 secs but with the original...
Fix in the .MD and notebook: https://github.com/danielsc/azureml-workshop-2019/blob/master/4-mlops/mlopsworkshop.md simple_setup_pipeline_notebook.ipynb 
This might be because the size of the training datasets is pretty small and then in remote training it might need to deploy Docker containers for the trainings whereas in...
A container into ACI should only need a matter of seconds. If it needs so much time it is probably because it is re-creating Docker images or because ACI should...
Bug in azureml.widgets RunDetails UI showing non-existing metric visualization errors. Running a remote AML compute based on HyperDrive with multiple child runs. The training process runs okay with no issues...
There's no UI Management for Environments. Since Environments are infrastructure assets that can be re-used (in many ways comparable to Model management or Compute management) there should be a UO...
In AML notebooks UI, when creating a folder or file, it should be created into the original folder that was previously selected before clicking to "New Folder". Instead, in the...
Once the model is deployed into AML compute, the UI doesn't help much on how to consume it and try the service. It simply provides an URI, but a user...
This is confusing for users. There are two ways of submitting experiments to AML compute: - Based on **Estimator** - Based on **ScriptRunConfig** Then, both can be used with the...
Why **drop_column_names** in the class AutoMLConfig is only available for Forecast in AutoML but not for Regression and Classification? If you try to use it for other ML Task, like...