Send feedback
Class EvaluationMetrics (1.18.0)
Stay organized with collections
Save and categorize content based on your preferences.
Version 1.18.0 keyboard_arrow_down
Evaluation metrics of a model. These are either computed on all training
data or just the eval data based on whether eval data was used during
training. These are not present for imported models.
.. attribute:: regression_metrics
Populated for regression models and explicit feedback type
matrix factorization models.
Populated for multi-class classification/classifier models.
Inheritance
builtins.object
>
google.protobuf.pyext._message.CMessage
>
builtins.object
>
google.protobuf.message.Message
>
EvaluationMetrics
Send feedback
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2024-08-30 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"
}]
Need to tell us more?
{
"lastModified": "Last updated 2024-08-30 UTC.",
"confidential": False
}