16 lines
511 B
Python
16 lines
511 B
Python
from quacc.evaluation.report import DatasetReport
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import pandas as pd
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dr = DatasetReport.unpickle("output/main/imdb/imdb.pickle")
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_data = dr.data(
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metric="acc", estimators=["bin_sld_lr_mc", "bin_sld_lr_ne", "bin_sld_lr_c"]
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)
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d1 = _data.loc[((0.9, 0.1), (1.0, 0.0), slice(None)), :]
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d2 = _data.loc[((0.1, 0.9), (0.0, 1.0), slice(None)), :]
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dd = pd.concat([d1, d2], axis=0)
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print(d1.to_numpy(), "\n", d1.mean(), "\n")
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print(d2.to_numpy(), "\n", d2.mean(), "\n")
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print(dd.to_numpy(), "\n", dd.mean(), "\n")
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