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Represents the t-distribution value.
tfma.types.ValueWithTDistribution(
sample_mean: float,
sample_standard_deviation: Optional[float] = None,
sample_degrees_of_freedom: Optional[int] = None,
unsampled_value: Optional[float] = None
)
It includes sample_mean, sample_standard_deviation, sample_degrees_of_freedom. And also unsampled_value is also stored here to record the value calculated without bootstrapping. The sample_standarddeviation is calculated as: \sqrt{ \frac{1}{N-1} \sum{i=1}^{N}{(x_i - \bar{x})^2} }
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sample_mean
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sample_standard_deviation
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sample_degrees_of_freedom
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unsampled_value
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