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tfma.types.ValueWithTDistribution

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} }

Attributes
`sample_mean`
`sample_standard_deviation`
`sample_degrees_of_freedom`
`unsampled_value`

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Last updated 2020-09-18 UTC.

tfma.types.ValueWithTDistribution

Attributes