Class RegressionEvaluationMetrics (2.11.1)
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RegressionEvaluationMetrics(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Metrics for regression problems.
Attributes |
---|
Name | Description |
root_mean_squared_error |
float
Output only. Root Mean Squared Error (RMSE).
|
mean_absolute_error |
float
Output only. Mean Absolute Error (MAE).
|
mean_absolute_percentage_error |
float
Output only. Mean absolute percentage error.
Only set if all ground truth values are are
positive.
|
r_squared |
float
Output only. R squared.
|
root_mean_squared_log_error |
float
Output only. Root mean squared log error.
|
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Last updated 2023-04-20 UTC.
[{
"type": "thumb-down",
"id": "hardToUnderstand",
"label":"Hard to understand"
},{
"type": "thumb-down",
"id": "incorrectInformationOrSampleCode",
"label":"Incorrect information or sample code"
},{
"type": "thumb-down",
"id": "missingTheInformationSamplesINeed",
"label":"Missing the information/samples I need"
},{
"type": "thumb-down",
"id": "otherDown",
"label":"Other"
}]
[{
"type": "thumb-up",
"id": "easyToUnderstand",
"label":"Easy to understand"
},{
"type": "thumb-up",
"id": "solvedMyProblem",
"label":"Solved my problem"
},{
"type": "thumb-up",
"id": "otherUp",
"label":"Other"
}]