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.
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Class Rouge (1.67.1)
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Rouge(
*,
rouge_type: typing.Literal[
"rouge1",
"rouge2",
"rouge3",
"rouge4",
"rouge5",
"rouge6",
"rouge7",
"rouge8",
"rouge9",
"rougeL",
"rougeLsum",
],
use_stemmer: bool = False,
split_summaries: bool = False
)
The ROUGE Metric.
Calculates the recall of n-grams in prediction as compared to reference and
returns a score ranging between 0 and 1. Supported rouge types are
rougen[1-9], rougeL, and rougeLsum.
Methods
Rouge
Rouge(
*,
rouge_type: typing.Literal[
"rouge1",
"rouge2",
"rouge3",
"rouge4",
"rouge5",
"rouge6",
"rouge7",
"rouge8",
"rouge9",
"rougeL",
"rougeLsum",
],
use_stemmer: bool = False,
split_summaries: bool = False
)
Initializes the ROUGE metric.
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Last updated 2024-09-19 UTC.
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"label":"Missing the information/samples I need"
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}]
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{"lastModified": "Last updated 2024-09-19 UTC."}