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README.md
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---
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title:
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datasets:
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- None
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tags:
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pinned: false
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---
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# Metric Card for
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***Module Card Instructions:*** *Fill out the following subsections. Feel free to take a look at existing metric cards if you'd like examples.*
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```
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>>> predictions = ["2024-01-12 11:23 hello, nice to meet you \n 2024-01-12 11:24 So we see each other again"]
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>>> references = ["2024-02-14 This is a hello to you \n 2024-02-15 Another hello"]
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logmetric = evaluate.load("svenwey/
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>>> results = logmetric.compute(predictions=predictions,
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... references=references)
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>>> print(results["timestamp_score"])
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```
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>>> predictions = ["hello, nice to meet you"]
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>>> references = ["2024-02-14 This is a hello to you"]
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logmetric = evaluate.load("svenwey/
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>>> results = logmetric.compute(predictions=predictions,
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... references=references)
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>>> print(results["timestamp_score"])
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---
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title: LogMetric
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datasets:
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- None
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tags:
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pinned: false
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---
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# Metric Card for LogMetric
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***Module Card Instructions:*** *Fill out the following subsections. Feel free to take a look at existing metric cards if you'd like examples.*
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```
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>>> predictions = ["2024-01-12 11:23 hello, nice to meet you \n 2024-01-12 11:24 So we see each other again"]
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>>> references = ["2024-02-14 This is a hello to you \n 2024-02-15 Another hello"]
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logmetric = evaluate.load("svenwey/logmetric")
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>>> results = logmetric.compute(predictions=predictions,
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... references=references)
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>>> print(results["timestamp_score"])
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```
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>>> predictions = ["hello, nice to meet you"]
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>>> references = ["2024-02-14 This is a hello to you"]
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logmetric = evaluate.load("svenwey/logmetric")
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>>> results = logmetric.compute(predictions=predictions,
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... references=references)
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>>> print(results["timestamp_score"])
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