Enum DiffResult

pub enum DiffResult {
    Added(String, Value),
    Removed(String, Value),
    Modified(String, Value, Value),
    TypeChanged(String, Value, Value),
    TensorShapeChanged(String, Vec<usize>, Vec<usize>),
    TensorStatsChanged(String, TensorStats, TensorStats),
    TensorAdded(String, TensorStats),
    TensorRemoved(String, TensorStats),
    ModelArchitectureChanged(String, ModelInfo, ModelInfo),
    LearningProgress(String, LearningProgressInfo),
    ConvergenceAnalysis(String, ConvergenceInfo),
    AnomalyDetection(String, AnomalyInfo),
    GradientAnalysis(String, GradientInfo),
    MemoryAnalysis(String, MemoryAnalysisInfo),
    InferenceSpeedAnalysis(String, InferenceSpeedInfo),
    RegressionTest(String, RegressionTestInfo),
    AlertOnDegradation(String, AlertInfo),
    ReviewFriendly(String, ReviewFriendlyInfo),
    ChangeSummary(String, ChangeSummaryInfo),
    RiskAssessment(String, RiskAssessmentInfo),
    ArchitectureComparison(String, ArchitectureComparisonInfo),
    ParamEfficiencyAnalysis(String, ParamEfficiencyInfo),
    HyperparameterImpact(String, HyperparameterInfo),
    LearningRateAnalysis(String, LearningRateInfo),
    DeploymentReadiness(String, DeploymentReadinessInfo),
    PerformanceImpactEstimate(String, PerformanceImpactInfo),
    GenerateReport(String, ReportInfo),
    MarkdownOutput(String, MarkdownInfo),
    IncludeCharts(String, ChartInfo),
    EmbeddingAnalysis(String, EmbeddingInfo),
    SimilarityMatrix(String, SimilarityMatrixInfo),
    ClusteringChange(String, ClusteringInfo),
    AttentionAnalysis(String, AttentionInfo),
    HeadImportance(String, HeadImportanceInfo),
    AttentionPatternDiff(String, AttentionPatternInfo),
    QuantizationAnalysis(String, QuantizationAnalysisInfo),
    TransferLearningAnalysis(String, TransferLearningInfo),
    ExperimentReproducibility(String, ExperimentReproducibilityInfo),
    EnsembleAnalysis(String, EnsembleAnalysisInfo),
    HyperparameterComparison(String, HyperparameterComparisonInfo),
    LearningCurveAnalysis(String, LearningCurveInfo),
    StatisticalSignificance(String, StatisticalSignificanceInfo),
    NumpyArrayChanged(String, NumpyArrayStats, NumpyArrayStats),
    NumpyArrayAdded(String, NumpyArrayStats),
    NumpyArrayRemoved(String, NumpyArrayStats),
    MatlabArrayChanged(String, MatlabArrayStats, MatlabArrayStats),
    MatlabArrayAdded(String, MatlabArrayStats),
    MatlabArrayRemoved(String, MatlabArrayStats),
}

Variants

Added(String, Value)

Removed(String, Value)

Modified(String, Value, Value)

TypeChanged(String, Value, Value)

TensorShapeChanged(String, Vec<usize>, Vec<usize>)

TensorStatsChanged(String, TensorStats, TensorStats)

TensorAdded(String, TensorStats)

TensorRemoved(String, TensorStats)

ModelArchitectureChanged(String, ModelInfo, ModelInfo)

LearningProgress(String, LearningProgressInfo)

ConvergenceAnalysis(String, ConvergenceInfo)

AnomalyDetection(String, AnomalyInfo)

GradientAnalysis(String, GradientInfo)

MemoryAnalysis(String, MemoryAnalysisInfo)

InferenceSpeedAnalysis(String, InferenceSpeedInfo)

RegressionTest(String, RegressionTestInfo)

AlertOnDegradation(String, AlertInfo)

ReviewFriendly(String, ReviewFriendlyInfo)

ChangeSummary(String, ChangeSummaryInfo)

RiskAssessment(String, RiskAssessmentInfo)

ArchitectureComparison(String, ArchitectureComparisonInfo)

ParamEfficiencyAnalysis(String, ParamEfficiencyInfo)

HyperparameterImpact(String, HyperparameterInfo)

LearningRateAnalysis(String, LearningRateInfo)

DeploymentReadiness(String, DeploymentReadinessInfo)

PerformanceImpactEstimate(String, PerformanceImpactInfo)

GenerateReport(String, ReportInfo)

MarkdownOutput(String, MarkdownInfo)

IncludeCharts(String, ChartInfo)

EmbeddingAnalysis(String, EmbeddingInfo)

SimilarityMatrix(String, SimilarityMatrixInfo)

ClusteringChange(String, ClusteringInfo)

AttentionAnalysis(String, AttentionInfo)

HeadImportance(String, HeadImportanceInfo)

AttentionPatternDiff(String, AttentionPatternInfo)

QuantizationAnalysis(String, QuantizationAnalysisInfo)

TransferLearningAnalysis(String, TransferLearningInfo)

ExperimentReproducibility(String, ExperimentReproducibilityInfo)

EnsembleAnalysis(String, EnsembleAnalysisInfo)

HyperparameterComparison(String, HyperparameterComparisonInfo)

LearningCurveAnalysis(String, LearningCurveInfo)

StatisticalSignificance(String, StatisticalSignificanceInfo)

NumpyArrayChanged(String, NumpyArrayStats, NumpyArrayStats)

NumpyArrayAdded(String, NumpyArrayStats)

NumpyArrayRemoved(String, NumpyArrayStats)

MatlabArrayChanged(String, MatlabArrayStats, MatlabArrayStats)

MatlabArrayAdded(String, MatlabArrayStats)

MatlabArrayRemoved(String, MatlabArrayStats)

Trait Implementations

impl Debug for DiffResult

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for DiffResult

fn eq(&self, other: &DiffResult) -> bool

Tests for self and other values to be equal, and is used by ==.

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

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for DiffResult

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for DiffResult