Module analysis

quantrs2_device::dynamical_decoupling

Module analysis

Expand description

Analysis utilities for dynamical decoupling

Structs§

AdvancedStatistics: Advanced statistical analysis
AnomalyDetectionResults: Anomaly detection results
AutocorrelationAnalysis: Autocorrelation analysis
BasicStatistics: Basic statistical measures
BayesianAnalysis: Bayesian analysis results
BootstrapAnalysis: Bootstrap analysis
ClusterAnalysisResults: Cluster analysis results
DDStatisticalAnalysis: Statistical analysis results for DD sequences
DDStatisticalAnalyzer: DD statistical analyzer
DimensionalityReduction: Dimensionality reduction results
DiscriminantAnalysisResults: Discriminant analysis results
FactorAnalysisResults: Factor analysis results
IsolationForestResults: Isolation forest results
KDEAnalysis: Kernel density estimation analysis
LearningCurves: Learning curves
LjungBoxTest: Ljung-Box test for autocorrelation
MLInsights: Machine learning insights
ManifoldLearningResults: Manifold learning results
MannWhitneyTest: Mann-Whitney U test
ModelInterpretability: Model interpretability
MorrisScreeningResults: Morris screening results
MultivariateAnalysis: Multivariate statistical analysis
NonParametricAnalysis: Non-parametric analysis
PCAResults: Principal Component Analysis results
PermutationTests: Permutation test results
PosteriorDistribution: Posterior distribution
PredictiveModelingResults: Predictive modeling results
RankStatistics: Rank-based statistics
SeasonalDecomposition: Seasonal decomposition
SeasonalityAnalysis: Seasonality analysis
SensitivityAnalysis: Sensitivity analysis
StationarityTest: Individual stationarity test
StationarityTests: Stationarity test results
TSNEResults: t-SNE results
TimeSeriesAnalysis: Time series analysis
TrendAnalysis: Trend analysis results
UMAPResults: UMAP results
UncertaintyAnalysis: Uncertainty quantification
WilcoxonTest: Wilcoxon signed-rank test

Enums§

TrendDirection: Trend direction