Class Service
Service
azureml.deploy.server.service.Service(service, http_client)
Dynamic object for service consumption and batching based on service metadata attributes.
batch
batch(records, parallel_count=10)
Register a set of input records for batch execution on this service.
Arguments
records
The data.frame or list of input records to execute.
parallel_count
Number of threads used to process entries in the batch. Default value is 10. Please make sure not to use too high of a number because it might negatively impact performance.
Returns
The Batch
instance to control this service's
batching lifecycle.
capabilities
capabilities()
Provides the following information describing the holdings of this service:
api - The API REST endpoint.
name - The service name.
version - The service version.
published_by - The service publishing author.
runtime - The service runtime context R|Python.
description - The service description.
creation_time - The service publish timestamp.
snapshot_id - The snapshot identifier this service is bound with.
inputs - The input schema name/type definition.
outputs - The output schema name/type definition.
inputs_encoded - The input schema name/type encoded to python.
outputs_encoded - The output schema name/type encoded to python.
artifacts - The supported generated files.
operation_id - The function
alias
.swagger - The API REST endpoint to this service's swagger.json document.
Returns
A dict
of key/values describing the service.
get_batch
get_batch(execution_id)
Retrieves the service batch based on an execution identifier.
Arguments
execution_id
The identifier of the batch execution.
Returns
The Batch
instance to control this service's
batching lifecycle.
list_executions
list_batch_executions()
Gets all batch execution identifiers currently queued for this service.
Returns
A list
of execution identifiers.
swagger
swagger()
Retrieves the swagger.json for this service (see http://swagger.io/).
Returns
The swagger document for this service as a json str
.
Σχόλια
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