API Reference# Modules: Representation of functional Data FDataGrid SplineInterpolation FDataBasis BSplineBasis FourierBasis MonomialBasis ConstantBasis TensorBasis FiniteElementBasis VectorValuedBasis Basis FData Extrapolation BoundaryExtrapolation ExceptionExtrapolation FillExtrapolation PeriodicExtrapolation Evaluator BSpline Fourier Monomial Constant Tensor FiniteElement VectorValued Preprocessing Smoothing KernelSmoother BasisSmoother LinearSmootherLeaveOneOutScorer LinearSmootherGeneralizedCVScorer akaike_information_criterion finite_prediction_error shibata rice SmoothingParameterSearch Registration LeastSquaresShiftRegistration landmark_shift_registration landmark_shift_deltas landmark_elastic_registration landmark_elastic_registration_warping FisherRaoElasticRegistration AmplitudePhaseDecomposition LeastSquares SobolevLeastSquares PairwiseCorrelation invert_warping normalize_warping Dimensionality Reduction MaximaHunting RecursiveMaximaHunting RKHSVariableSelection MinimumRedundancyMaximumRelevance Recursive Maxima Hunting Correction ConditionalMeanCorrection UniformCorrection GaussianCorrection GaussianConditionedCorrection GaussianSampleCorrection DependenceThresholdRedundancy ScoreThresholdStop AsymptoticIndependenceTestStop FPCA Feature construction FDAFeatureUnion PerClassTransformer modified_epigraph_index local_averages occupation_measure number_crossings LocalAveragesTransformer OccupationMeasureTransformer NumberCrossingsTransformer Exploratory analysis Depth and outlyingness measures Depth IntegratedDepth BandDepth ModifiedBandDepth DistanceBasedDepth ProjectionDepth SimplicialDepth Outlyingness StahelDonohoOutlyingness OutlyingnessBasedDepth Outlier detection BoxplotOutlierDetector MSPlotOutlierDetector directional_outlyingness_stats Summary statistics mean gmean trim_mean depth_based_median geometric_median fisher_rao_karcher_mean cov var Visualization GraphPlot ScatterPlot ParametricPlot Boxplot SurfaceBoxplot Outliergram MagnitudeShapePlot ClusterPlot ClusterMembershipLinesPlot ClusterMembershipPlot FPCAPlot Datasets fetch_aemet fetch_gait fetch_growth fetch_mco fetch_medflies fetch_nox fetch_octane fetch_phoneme fetch_tecator fetch_weather fetch_cran fetch_ucr make_gaussian make_gaussian_process make_sinusoidal_process make_multimodal_samples make_multimodal_landmarks make_random_warping Miscellaneous inner_product inner_product_matrix cosine_similarity cosine_similarity_matrix Covariance functions Brownian Covariance Exponential Gaussian Linear Polynomial Matern WhiteNoise Metrics LpNorm LpDistance lp_norm lp_distance angular_distance fisher_rao_distance fisher_rao_amplitude_distance fisher_rao_phase_distance MahalanobisDistance NormInducedMetric PairwiseMetric TransformationMetric Operators Identity LinearDifferentialOperator SRSF Regularization L2Regularization Hat Matrix HatMatrix NadarayaWatsonHatMatrix LocalLinearRegressionHatMatrix KNeighborsHatMatrix Scoring methods for regression with functional response. explained_variance_score mean_absolute_error mean_absolute_percentage_error mean_squared_error mean_squared_log_error r2_score Machine Learning Classification KNeighborsClassifier RadiusNeighborsClassifier NearestCentroid DTMClassifier DDClassifier DDGClassifier MaximumDepthClassifier LogisticRegression QuadraticDiscriminantAnalysis Clustering KMeans FuzzyCMeans NearestNeighbors AgglomerativeClustering Regression LinearRegression HistoricalLinearRegression KNeighborsRegressor RadiusNeighborsRegressor KernelRegression Inference ANOVA oneway_anova v_sample_stat v_asymptotic_stat Hotelling hotelling_t2 hotelling_test_ind
