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I'm trying to log metrics interactively; as i'm writing code interactively on a local machine; ie not within an estimator or a submit_experiment with local compute. I understand that this can be done if wrapped within an estimator; but that's not what i'm looking for; there are instances, where i don't want to wrap my interactive code as an estimator, but i definitely would like to log items while i'm testing / building - ie a cool graph/metric etc.
To Reproduce
library(azuremlsdk)
ws <- load_workspace_from_config()
experiment_name <- "train-r-local-test"
exp <- experiment(ws, experiment_name)
runid <- start_logging_run(exp)
message("set x to 100")
x <- 100
message("logging accuracy")
log_metric_to_run("Accuracy", 0.23)
log_metric_to_run("RMSE", 0.00001)
complete_run(runid)
Expected Behaviour
Accuracy and RMSE values to pop up in my experimentation page in AzureML; this doesn't happen - see below
Additional Context
We are trying to integrate AzureML R SDK within a Shiny Application; and we would want metrics of the ShinyApp to be logged into AzureML's experimentation page; and subsequently registering models into the AzureML Model Management.
Yes - we could design the Shiny app to trigger AzureML Submit_Experiments into a Remote Compute cluster; but for some of the interactive work on the App; this is not appropriate, the latency to submit experiments into a remote compute for logging one or two metrics exceeds a threshold that would be rather non-interactive for the ShinyApp user.
The text was updated successfully, but these errors were encountered:
Bug/Problem Description
I'm trying to log metrics interactively; as i'm writing code interactively on a local machine; ie not within an estimator or a submit_experiment with local compute. I understand that this can be done if wrapped within an estimator; but that's not what i'm looking for; there are instances, where i don't want to wrap my interactive code as an estimator, but i definitely would like to log items while i'm testing / building - ie a cool graph/metric etc.
To Reproduce
Expected Behaviour
Accuracy and RMSE values to pop up in my experimentation page in AzureML; this doesn't happen - see below
Additional Context
We are trying to integrate AzureML R SDK within a Shiny Application; and we would want metrics of the ShinyApp to be logged into AzureML's experimentation page; and subsequently registering models into the AzureML Model Management.
Yes - we could design the Shiny app to trigger AzureML Submit_Experiments into a Remote Compute cluster; but for some of the interactive work on the App; this is not appropriate, the latency to submit experiments into a remote compute for logging one or two metrics exceeds a threshold that would be rather non-interactive for the ShinyApp user.
The text was updated successfully, but these errors were encountered: