Try Gemini 1.5 models , the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.
Try Gemini 1.5 models , the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.
Send feedback
Class EvalResult (1.67.1)
Stay organized with collections
Save and categorize content based on your preferences.
EvalResult (
summary_metrics : typing . Dict [ str , float ],
metrics_table : typing . Optional [ pd . DataFrame ] = None ,
metadata : typing . Optional [ typing . Dict [ str , str ]] = None ,
)
Attributes
Name
Description
summary_metrics
Dict[str, float]
The summary evaluation metrics for an evaluation run.
metrics_table
Optional[pd.DataFrame]
A table containing eval inputs, ground truth, and metric
results per row.
metadata
Optional[Dict[str, str]]
The metadata for the evaluation run.
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 2024-09-19 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 2024-09-19 UTC."}