azure.ai.ml.entities.AlertNotification.yml

### YamlMime:PythonClass
uid: azure.ai.ml.entities.AlertNotification
name: AlertNotification
fullName: azure.ai.ml.entities.AlertNotification
module: azure.ai.ml.entities
inheritances:
- azure.ai.ml.entities._mixins.RestTranslatableMixin
summary: Alert notification configuration for monitoring jobs
constructor:
  syntax: 'AlertNotification(*, emails: List[str] | None = None)'
  keywordOnlyParameters:
  - name: emails
    description: 'A list of email addresses that will receive notifications for monitoring
      alerts.

      Defaults to None.'
    types:
    - <xref:typing.Optional>[<xref:typing.List>[<xref:str>]]
examples:
- "Configuring alert notifications for a monitored job.<!--[!code-python[Main](les\\\
  ml_samples_spark_configurations.py )]-->\n\n<!-- literal_block {\"ids\": [], \"\
  classes\": [], \"names\": [], \"dupnames\": [], \"backrefs\": [], \"source\": \"\
  C:\\\\hostedtoolcache\\\\windows\\\\Python\\\\3.11.9\\\\x64\\\\Lib\\\\site-packages\\\
  \\py2docfx\\\\dist_temp\\\\8\\\\azure_ai_ml-1.18.0\\\\samples\\\\ml_samples_spark_configurations.py\"\
  , \"xml:space\": \"preserve\", \"force\": false, \"language\": \"python\", \"highlight_args\"\
  : {\"linenostart\": 1}, \"linenos\": false} -->\n\n````python\n\n   from azure.ai.ml.entities\
  \ import (\n       AlertNotification,\n       MonitorDefinition,\n       MonitoringTarget,\n\
  \       SparkResourceConfiguration,\n   )\n\n   monitor_definition = MonitorDefinition(\n\
  \       compute=SparkResourceConfiguration(instance_type=\"standard_e4s_v3\", runtime_version=\"\
  3.2\"),\n       monitoring_target=MonitoringTarget(\n           ml_task=\"Classification\"\
  ,\n           endpoint_deployment_id=\"azureml:fraud_detection_endpoint:fraud_detection_deployment\"\
  ,\n       ),\n       alert_notification=AlertNotification(emails=[\"abc@example.com\"\
  , \"def@example.com\"]),\n   )\n\n\n   ````\n"