batch-scoring | Batch scoring script for making predictions

 by   datarobot Python Version: v1.16.5 License: BSD-3-Clause

kandi X-RAY | batch-scoring Summary

kandi X-RAY | batch-scoring Summary

batch-scoring is a Python library. batch-scoring has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Batch scoring script for making predictions
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            kandi-support Support

              batch-scoring has a low active ecosystem.
              It has 31 star(s) with 14 fork(s). There are 186 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 2 have been closed. On average issues are closed in 45 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of batch-scoring is v1.16.5

            kandi-Quality Quality

              batch-scoring has 0 bugs and 0 code smells.

            kandi-Security Security

              batch-scoring has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              batch-scoring code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              batch-scoring is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              batch-scoring releases are available to install and integrate.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed batch-scoring and discovered the below as its top functions. This is intended to give you an instant insight into batch-scoring implemented functionality, and help decide if they suit your requirements.
            • 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
            Get all kandi verified functions for this library.

            batch-scoring Key Features

            No Key Features are available at this moment for batch-scoring.

            batch-scoring Examples and Code Snippets

            No Code Snippets are available at this moment for batch-scoring.

            Community Discussions

            QUESTION

            How to get status of Azure machine learning service pipeline run using Rest Api?
            Asked 2019-Sep-26 at 16:56

            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 16:56

            For 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

            Source https://stackoverflow.com/questions/58117200

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install batch-scoring

            You can download it from GitHub.
            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.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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