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MlDatasetChannelStatisticsV1

eqiora::artifact

Struct MlDatasetChannelStatisticsV1 

pub struct MlDatasetChannelStatisticsV1 { /* private fields */ }
Description

Training-only population standardization parameters for one scalar channel.

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impl MlDatasetChannelStatisticsV1

Signature links:§MlDatasetChannelStatisticsV1

pub fn population_standard_score( descriptor_ordinal: usize, association: DiscreteFieldAssociation, component: u32, population_count: u64, mean: f64, population_standard_deviation: f64, constant: bool, ) -> Result<MlDatasetChannelStatisticsV1, Diagnostic>

Signature links:population_standard_scoreusizeDiscreteFieldAssociationu32u64f64f64boolResultMlDatasetChannelStatisticsV1Diagnostic

Record a population mean and standard deviation derived from training.

Zero variance is represented explicitly as a constant channel with a scale of one; all other channels use the population standard deviation as their scale.

§Errors

Returns EQ0901 for an empty population, invalid scalar, or nonportable ordinal.

pub const fn descriptor_ordinal(&self) -> u32

Signature links:descriptor_ordinalu32

Descriptor ordinal in canonical Dataset order.

pub const fn association(&self) -> DiscreteFieldAssociation

Signature links:associationDiscreteFieldAssociation

Coefficient-block association.

pub const fn component(&self) -> u32

Signature links:componentu32

Scalar component within the descriptor’s mathematical value shape.

pub const fn population_count(&self) -> u64

Signature links:population_countu64

Number of active training values used for this channel.

pub const fn mean(&self) -> f64

Signature links:meanf64

Training-population mean.

pub const fn population_standard_deviation(&self) -> f64

Signature links:population_standard_deviationf64

Training-population standard deviation (ddof = 0).

pub const fn scale(&self) -> f64

Signature links:scalef64

Applied divisor, equal to one for a constant channel.

pub const fn is_constant(&self) -> bool

Signature links:is_constantbool

Whether the training population has zero variance.

Trait Implementations§

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impl Clone for MlDatasetChannelStatisticsV1

Signature links:§CloneMlDatasetChannelStatisticsV1
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fn clone(&self) -> MlDatasetChannelStatisticsV1

Signature links:§cloneMlDatasetChannelStatisticsV1
Returns a duplicate of the value. Read more
1.0.0 (const: unstable) · Source§

fn clone_from(&mut self, source: &Self)

Signature links:unstableSource§clone_from
Performs copy-assignment from source. Read more
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impl Debug for MlDatasetChannelStatisticsV1

Signature links:§DebugMlDatasetChannelStatisticsV1
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fn fmt(&self, f: &mut Formatter<'_>) -> Result<(), Error>

Signature links:§fmtFormatterResult()Error
Formats the value using the given formatter. Read more
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impl PartialEq for MlDatasetChannelStatisticsV1

Signature links:§PartialEqMlDatasetChannelStatisticsV1
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fn eq(&self, other: &MlDatasetChannelStatisticsV1) -> bool

Signature links:§eqMlDatasetChannelStatisticsV1bool
Tests for self and other values to be equal, and is used by ==.
1.0.0 (const: unstable) · Source§

fn ne(&self, other: &Rhs) -> bool

Signature links:unstableSource§ne&Rhsbool
Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl StructuralPartialEq for MlDatasetChannelStatisticsV1

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