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azure.ai.ml.constants.MonitorMetricName.yml
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azure.ai.ml.constants.MonitorMetricName.yml
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### YamlMime:PythonEnum
uid: azure.ai.ml.constants.MonitorMetricName
name: MonitorMetricName
fullName: azure.ai.ml.constants.MonitorMetricName
summary: '> [!NOTE]
> This is an experimental class, and may change at any time. Please see [https://aka.ms/azuremlexperimental](https://aka.ms/azuremlexperimental)
for more information.
>
>'
module: azure.ai.ml.constants
constructor:
syntax: MonitorMetricName(value, names=None, *, module=None, qualname=None, type=None,
start=1, boundary=None)
inheritances:
- builtins.str
- enum.Enum
fields:
- name: ACCURACY
uid: azure.ai.ml.constants.MonitorMetricName.ACCURACY
- name: DATA_TYPE_ERROR_RATE
uid: azure.ai.ml.constants.MonitorMetricName.DATA_TYPE_ERROR_RATE
- name: F1_SCORE
uid: azure.ai.ml.constants.MonitorMetricName.F1_SCORE
- name: JENSEN_SHANNON_DISTANCE
uid: azure.ai.ml.constants.MonitorMetricName.JENSEN_SHANNON_DISTANCE
- name: MAE
uid: azure.ai.ml.constants.MonitorMetricName.MAE
- name: MSE
uid: azure.ai.ml.constants.MonitorMetricName.MSE
- name: NORMALIZED_DISCOUNTED_CUMULATIVE_GAIN
uid: azure.ai.ml.constants.MonitorMetricName.NORMALIZED_DISCOUNTED_CUMULATIVE_GAIN
- name: NORMALIZED_WASSERSTEIN_DISTANCE
uid: azure.ai.ml.constants.MonitorMetricName.NORMALIZED_WASSERSTEIN_DISTANCE
- name: NULL_VALUE_RATE
uid: azure.ai.ml.constants.MonitorMetricName.NULL_VALUE_RATE
- name: OUT_OF_BOUND_RATE
uid: azure.ai.ml.constants.MonitorMetricName.OUT_OF_BOUND_RATE
- name: PEARSONS_CHI_SQUARED_TEST
uid: azure.ai.ml.constants.MonitorMetricName.PEARSONS_CHI_SQUARED_TEST
- name: POPULATION_STABILITY_INDEX
uid: azure.ai.ml.constants.MonitorMetricName.POPULATION_STABILITY_INDEX
- name: PRECISION
uid: azure.ai.ml.constants.MonitorMetricName.PRECISION
- name: RECALL
uid: azure.ai.ml.constants.MonitorMetricName.RECALL
- name: RMSE
uid: azure.ai.ml.constants.MonitorMetricName.RMSE
- name: TWO_SAMPLE_KOLMOGOROV_SMIRNOV_TEST
uid: azure.ai.ml.constants.MonitorMetricName.TWO_SAMPLE_KOLMOGOROV_SMIRNOV_TEST