Spaces:
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Sleeping
John Graham Reynolds
commited on
Commit
·
8a9fb11
1
Parent(s):
9a8c7c5
add a second example and clean up
Browse files
app.py
CHANGED
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@@ -8,7 +8,7 @@ from fixed_f1 import FixedF1
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from pathlib import Path
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added_description = """
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-
See the
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[MarioBarbeque/CombinedEvaluationMetrics](https://huggingface.co/spaces/MarioBarbeque/CombinedEvaluationMetrics)
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In the specific use case of the `F1Fixed` metric, one writes the following:\n
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@@ -20,7 +20,7 @@ f1.add_batch(predictions=..., references=...)
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f1.compute()
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```\n
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where the `average` parameter can be
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or `binary` if there exist only two labels). \n
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"""
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@@ -33,7 +33,9 @@ else:
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gradio_input_types = infer_gradio_input_types(feature_types)
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local_path = Path(sys.path[0])
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-
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# configure this based on the input type, etc. for launch_gradio_widget
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def compute(input_df: pd.DataFrame, method: str):
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@@ -70,9 +72,13 @@ space = gr.Interface(
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article=parse_readme(local_path / "README.md"),
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examples=[
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[
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parse_test_cases(
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"weighted"
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],
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],
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cache_examples=False
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)
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from pathlib import Path
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added_description = """
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See the 🤗 Space showing off how to combine various metrics here:
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[MarioBarbeque/CombinedEvaluationMetrics](https://huggingface.co/spaces/MarioBarbeque/CombinedEvaluationMetrics)
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In the specific use case of the `F1Fixed` metric, one writes the following:\n
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f1.compute()
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```\n
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where the `average` parameter can be chosen to configure the way f1 scores across labels are averaged. Acceptable values include `[None, 'micro', 'macro', 'weighted']` (
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or `binary` if there exist only two labels). \n
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"""
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gradio_input_types = infer_gradio_input_types(feature_types)
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local_path = Path(sys.path[0])
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# configure these randomly using randint generator and feature names?
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test_case_1 = [ {"predictions":[1,2,3,4,5], "references":[1,2,5,4,3]} ]
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test_case_2 = [ {"predictions":[9,8,7,6,5], "references":[7,8,9,6,5]} ]
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# configure this based on the input type, etc. for launch_gradio_widget
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def compute(input_df: pd.DataFrame, method: str):
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article=parse_readme(local_path / "README.md"),
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examples=[
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[
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parse_test_cases(test_case_1, feature_names, gradio_input_types)[0], # notice how we unpack this for when we fix launch_gradio_widget
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"weighted"
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],
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[
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parse_test_cases(test_case_2, feature_names, gradio_input_types)[0],
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"micro"
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],
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],
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cache_examples=False
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)
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