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Module statistical_computing

Module statistical_computing 

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Statistical Computing Library - Privacy-Preserving Statistical Analysis

This module provides high-performance statistical computing operations leveraging Phase 2 enhancements:

  • Fiduciary Cryptography (ML-DSA) for secure statistical computations
  • Hardware-Sympathetic Storage (ZNS) for zero-copy statistical data
  • Zero-Knowledge Semantic Proofs for privacy-preserving statistics
  • NVMe Computational Storage (CSD) for accelerated statistical operations

Structs§

AcceleratorCapabilities
Accelerator capabilities
AccuracyMetrics
Accuracy metrics
AlertSystem
Alert system
AnomalyDetection
Anomaly detection
CompletedOperation
Completed operation
CompressionStatistics
Compression statistics
ComputationCapabilities
Computation capabilities
Constraint
Constraint
CostModel
Cost model
CrossValidation
Cross validation
DataCatalog
Data catalog for dataset management
DataCompressionEngine
Data compression engine
DataIndex
Data index
DataIndexingEngine
Data indexing engine
Dataset
Dataset representation
DatasetDimensions
Dataset dimensions
DatasetMetadata
Dataset metadata
DatasetMetrics
Dataset metrics
DifferentialPrivacy
Differential privacy
Distribution
Statistical distribution
EscalationPolicy
Escalation policies
EscalationStep
Escalation step
ExecutionPlan
Execution plan
ForecastingEngine
Forecasting engine
HardwareAccelerator
Hardware accelerator
HistogramResult
Hyperparameter
Hyperparameter
HyperparameterTuning
Hyperparameter tuning
IndexEntry
Index entry
IndexStatistics
Index statistics
IntegrityCheck
Integrity checks
LoadBalancer
Load balancer
ModeResult
Modal value of a column, with the frequency of that value.
ModelParameters
Model parameters
ModelPerformance
Model performance metrics
ModelSelection
Model selection
OperationMetrics
Operation metrics
OptimizationEngine
Optimization engine for statistical acceleration
ParameterDefinition
Parameter definition
ParameterRange
Parameter range
ParameterSchema
Parameter schema
PatternLibrary
Pattern library
PatternRecognition
Pattern recognition
PatternTemplate
Pattern template
PolynomialFit
Fitted polynomial-regression model: coefficients (ascending powers, so coefficients[0] is the constant term) plus the coefficient of determination.
PrivacyAccountant
Privacy accountant
PrivacyBudget
Privacy budget
PrivacyMetrics
Privacy metrics
QueryOptimizer
Query optimizer
QueryPlan
An optimized query plan: ordered steps with aggregate cost/row estimates.
QueryStep
A single step in an optimized query plan: the operation plus its estimated cost and output row count.
QueueManager
Queue manager
QueuedOperation
Queued operation
RandomForestFitResult
Summary of a fitted random forest, with the in-sample fit metric (R² for a regression forest, classification accuracy for a classifier).
Relationship
Dataset relationships
ResultMetadata
Result metadata
RunningOperation
Running operation
SearchEngine
Search engine
SearchIndex
Search index for efficient dataset discovery
SearchSpace
Search space
SecureAggregation
Secure aggregation
SensitivityAnalyzer
Sensitivity analyzer
SensitivityFunction
Sensitivity function
StatisticalAccelerator
Statistical accelerator
StatisticalAnalysisEngine
Statistical analysis engine
StatisticalAnalysisResult
Statistical analysis result
StatisticalComputationEngine
Statistical computation engine
StatisticalComputationUnit
Statistical computation unit
StatisticalComputingLibrary
Statistical Computing Library Manager
StatisticalDataStorage
Statistical data storage using ZNS for efficient data management
StatisticalModel
Statistical model
StatisticalPattern
Statistical pattern
StatisticalPerformanceMonitor
Statistical performance monitor
StatisticalPrivacyEngine
Statistical privacy engine
StatisticalResult
Statistical result
StatisticalScheduler
Statistical scheduler
StatisticalZone
Statistical zone for different data types
SvmFitResult
Summary of a fitted soft-margin SVM (the model’s internals stay in the solver).
SystemMetrics
System metrics
TTestResult
UnitMetrics
Unit metrics

Enums§

AccelerationStrategy
Acceleration strategies
AcceleratorType
Accelerator types
AccessPattern
Access patterns for optimization
AggregationProtocol
Aggregation protocols
AlertType
Alert types
AnalysisAlgorithm
Analysis algorithms
BalancingStrategy
Load balancing strategies
CVMethod
CV methods
CompositionMethod
Composition methods
CompressionAlgorithm
Compression algorithms
ComputationUnitType
Computation unit types
ConstraintType
Constraint types
CorrelationMethod
Correlation methods
DataType
Data types for statistical analysis
DataValue
Data values
DatasetType
Dataset types
DetectionAlgorithm
Detection algorithms
DistributionType
Distribution types
EncryptionScheme
Encryption schemes
EscalationAction
Escalation actions
ForecastingModel
Forecasting models
HyperparameterType
Hyperparameter types
HypothesisType
Hypothesis types
IndexType
Index types
IndexingStrategy
Indexing strategies
IntegrityCheckType
Integrity check types
JoinType
Join strategy selected by the query optimizer.
ModelType
Model types
NoiseMechanism
Noise mechanisms
NotificationChannel
Notification channels
OperationPriority
Operation priorities
OptimizationRule
Optimization rules
PatternType
Pattern types
PrivacyLevel
Privacy levels for statistical data
QueryOperation
A single logical query operation. Each variant carries the data the optimizer needs to estimate cost, reorder steps, and select join strategies.
RecognitionAlgorithm
Recognition algorithms
RelationshipType
Relationship types
ResultType
Result types
ResultValue
Result values
SchedulingPolicy
Scheduling policies
SearchEngineType
Search engine types
SelectionCriterion
Selection criteria
SensitivityMethod
Sensitivity methods
StatisticalError
Statistical error types
StatisticalOperation
Statistical operations
StatisticalZoneType
Statistical zone types
ThresholdMethod
Threshold methods
TuningMethod
Tuning methods
VerificationMethod
Verification methods