batch-scoring | Batch scoring script for making predictions
kandi X-RAY | batch-scoring Summary
kandi X-RAY | batch-scoring Summary
Batch scoring script for making predictions
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Top functions reviewed by kandi - BETA
- Format the results
- Keep only the original fields in the batch
- Return a tuple of pred_decision field
- Return a tuple of the pred_threshold field for a given predicate
- Called when a response is received
- Push a batch to the network
- Send an error message to the ctx queue
- Send a CTX warning message to the client
- Main entry point
- Returns response handlers for given url
- Format the usage string
- Runs a batch prediction
- Start the network
- Perform all requests
- Spawns a shovel process
- Convert to a dialect
- Check for multiline CSV input
- Read requirements file
- Called when the request is finished
- Start the process
- Create a new process
- Create a multiprocessing process
- Make request
- Runs a WriterProcess class
- Create a context manager
- Set state
batch-scoring Key Features
batch-scoring Examples and Code Snippets
Community Discussions
Trending Discussions on batch-scoring
QUESTION
I have created an Azure Machine Learning Service Pipeline which i am invoking externally using its rest endpoint. But i also need to monitor its run , whether it got completed or failed, periodically. Is there a methodinside a machine learning pipeline's rest endpoint, which i can hit to check its run status? I have tried the steps mentioned in the link here https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/machine-learning-pipelines/pipeline-batch-scoring/pipeline-batch-scoring.ipynb
...ANSWER
Answered 2019-Sep-26 at 16:56For getting status of run, you can use REST APIs described here https://github.com/Azure/azure-rest-api-specs/tree/master/specification/machinelearningservices/data-plane
Specifically you need https://github.com/Azure/azure-rest-api-specs/blob/master/specification/machinelearningservices/data-plane/Microsoft.MachineLearningServices/preview/2019-08-01/runHistory.json
use this call to get run information including status:
/history/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/experiments/{experimentName}/runs/{runId}/details
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install batch-scoring
You can use batch-scoring like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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