All Methods and Classes

This is an alphabetical list of all public transformers and functions in the eyefeatures library.

eyefeatures.data.utils.get_labels	Get label column names (columns ending with _label).
eyefeatures.data.utils.get_meta	Get meta column names (columns starting with meta\_).
eyefeatures.data.utils.get_pk	Get primary key column names (columns starting with group\_).
eyefeatures.data.utils.list_datasets	List available dataset names in the collection directory.
eyefeatures.data.utils.load_dataset	Load a collection dataset by name.
eyefeatures.features.dist.calc_dfr_dist	Calculates Discrete Frechet distance between paths p and q.
eyefeatures.features.dist.calc_dtw_dist	Calculates Dynamic Time Warp distance between paths p and q.
eyefeatures.features.dist.calc_euc_dist	Calculates Euclidean distance between paths p and q.
eyefeatures.features.dist.calc_eye_dist	Calculates EyeDist distance between paths p and q.
eyefeatures.features.dist.calc_hau_dist	Calculates Hausdorff distance between paths p and q
eyefeatures.features.dist.calc_man_dist	Calculates Mannan distance between paths p and q.
eyefeatures.features.dist.calc_mm_features	Calculates MultiMatch features between paths p and q.
eyefeatures.features.dist.calc_scan_match_dist	Calculates ScanMatch distance between paths p and q.
eyefeatures.features.dist.calc_tde_dist	Calculates Time Delay Embedding distance between paths p and q.
eyefeatures.features.dist.DFDist	Calculates Discrete Frechet distance between given and expected scanpaths.
eyefeatures.features.dist.DistanceTransformer	Base Transformer for distance-based features.
eyefeatures.features.dist.DTWDist	Calculates Dynamic Time Warp distance between given and expected scanpaths.
eyefeatures.features.dist.EucDist	Calculates Euclidean distance between given and expected scanpaths.
eyefeatures.features.dist.EyeAnalysisDist	Calculates Eye Analysis distance between given and expected scanpaths.
eyefeatures.features.dist.get_expected_path	Estimates expected path by a given method.
eyefeatures.features.dist.HauDist	Calculates Hausdorff distance between given and expected scanpaths.
eyefeatures.features.dist.MannanDist	Calculates Mannan distance between given and expected scanpaths.
eyefeatures.features.dist.MultiMatchDist	Calculates MultiMatch distance between given and expected scanpaths.
eyefeatures.features.dist.ScanMatchDist	Calculates ScanMatch distance between given and expected scanpaths.
eyefeatures.features.dist.SimpleDistances	Calculates simple distances using given methods.
eyefeatures.features.dist.TDEDist	Calculates Time Delay Embedding distance between given and expected scanpaths.
eyefeatures.features.extractor.Extractor	Meta Transformer that encapsulates the logic of feature extraction, providing fit/transform API.
eyefeatures.features.feature_maps.calculate_topological_features	Calculate topological features (persistence curve
eyefeatures.features.feature_maps.get_gaf	Calculates Gramian Angular Field for (x,y) coordinates.
eyefeatures.features.feature_maps.get_gafs	Batch Gramian Angular Fields for 2D DL: one (2, H, W) image per group, resized to shape.
eyefeatures.features.feature_maps.get_heatmap	Get heatmap from scanpath (given coordinates are scaled and sorted in time) using Gaussian KDE.
eyefeatures.features.feature_maps.get_heatmaps	Get heatmaps from scanpaths (given coordinates are scaled and
eyefeatures.features.feature_maps.get_hilbert_curve	Map scanpath to points on 1D Hilbert curve.
eyefeatures.features.feature_maps.get_hilbert_curve_enc	Map scanpath to values on Hilbert curve and encode to single feature vector.
eyefeatures.features.feature_maps.get_mtf	Calculates Markov Transition Field for (x,y) coordinates.
eyefeatures.features.feature_maps.get_mtfs	Batch Markov Transition Fields for 2D DL: one (2, H, W) image per group, resized to shape.
eyefeatures.features.feature_maps.get_pca	Computes PCA compression.
eyefeatures.features.feature_maps.get_rqa	Calculates recurrence quantification analysis matrix based
eyefeatures.features.feature_maps.hilbert_huang_transform	Perform Hilbert-Huang transform on a given data sequence.
eyefeatures.features.feature_maps.lower_star_filtration	Compute the Lower Star filtration for a time series.
eyefeatures.features.feature_maps.persistence_curve	Compute the persistence curve for a persistence diagram at time t.
eyefeatures.features.feature_maps.persistence_entropy_curve	Compute the persistence entropy curve for a persistence diagram at time t.
eyefeatures.features.feature_maps.vietoris_rips_filtration	Compute the Vietoris-Rips filtration for a point cloud.
eyefeatures.features.feature_maps.xy2h	Mapping of 2D space to 1D using Hilbert curve.
eyefeatures.features.measures.CorrelationDimension	Correlation Dimension.
eyefeatures.features.measures.FractalDimension	Fractal Dimension.
eyefeatures.features.measures.FuzzyEntropy	Fuzzy Entropy.
eyefeatures.features.measures.GriddedDistributionEntropy	Gridded Distribution Entropy.
eyefeatures.features.measures.HHTFeatures	Hilbert-Huang Transform (HHT) Features.
eyefeatures.features.measures.HurstExponent	Approximates Hurst Exponent using R/S analysis.
eyefeatures.features.measures.IncrementalEntropy	Incremental Entropy.
eyefeatures.features.measures.LyapunovExponent	Lyapunov Exponent.
eyefeatures.features.measures.MeasureTransformer	Base Transformer class for measures.
eyefeatures.features.measures.PhaseEntropy	Phase Entropy.
eyefeatures.features.measures.RQAMeasures	Calculates REC, DET, LAM and CORM measures.
eyefeatures.features.measures.SaccadeUnlikelihood	Saccade Unlikelihood.
eyefeatures.features.measures.SampleEntropy	Sample Entropy.
eyefeatures.features.measures.ShannonEntropy	Shannon Entropy.
eyefeatures.features.measures.SpectralEntropy	Spectral Entropy.
eyefeatures.features.pairwise.compute_rv_coefficient	Calculate the RV coefficient between two cross-product matrices.
eyefeatures.features.pairwise.dimensionality_reduction_order	Reorder matrix using Multi-Dimensional Scaling (MDS).
eyefeatures.features.pairwise.get_center_matrix	Calculates centering matrix Theta.
eyefeatures.features.pairwise.get_compromise_matrix	Compute the compromise matrix from a list of distance matrices.
eyefeatures.features.pairwise.get_cross_product_matrix	Calculates cross-product matrix.
eyefeatures.features.pairwise.get_dist_matrix	Computes pairwise distance matrix given distance metric.
eyefeatures.features.pairwise.get_sim_matrix	Computes similarity matrix given non-trivial metric.
eyefeatures.features.pairwise.hierarchical_clustering_order	Reorder matrix using hierarchical clustering.
eyefeatures.features.pairwise.optimal_leaf_ordering_clustering	Reorder matrix using optimal leaf ordering.
eyefeatures.features.pairwise.restore_matrix	Estimates A assuming 'matrix' equals \(A^T A\).
eyefeatures.features.pairwise.spectral_order	Reorder matrix using spectral reordering.
eyefeatures.features.shift.IndividualNormalization	Normalization of features based on slices, produced by grouping with primary key.
eyefeatures.features.stats.FixationFeatures	Fixation Features Transformer.
eyefeatures.features.stats.MicroSaccadeFeatures	Micro Saccade Features.
eyefeatures.features.stats.RegressionFeatures	Regression Features Transformer.
eyefeatures.features.stats.SaccadeFeatures	Saccade Features Transformer.
eyefeatures.features.stats.StatsTransformer	Base class for statistical features.
eyefeatures.preprocessing.aoi_extraction.AOIExtractor	Extractor of areas of interest.
eyefeatures.preprocessing.aoi_extraction.AOIMatcher	Matches AOI in the dataset.
eyefeatures.preprocessing.aoi_extraction.GradientBased	Defines the AOI for each fixation using a gradient-based algorithm.
eyefeatures.preprocessing.aoi_extraction.OverlapClustering	Defines the AOI for each fixation using the overlapping clustering algorithm.
eyefeatures.preprocessing.aoi_extraction.ShapeBased	Defines AOI using the specified shapes.
eyefeatures.preprocessing.aoi_extraction.ThresholdBased	Defines the AOI for each fixation using density maximum and Kmeans.
eyefeatures.preprocessing.blinks_extraction.detect_blinks_eo	Method detects blinks based on Eye Openness (EO) signal.
eyefeatures.preprocessing.blinks_extraction.detect_blinks_pupil_missing	Method detects blinks based on size of pupil and missing recordings (NaN) in its data.
eyefeatures.preprocessing.blinks_extraction.detect_blinks_pupil_vt	Method detects blinks based on pupil sizes and change of pupil sizes.
eyefeatures.preprocessing.fixation_extraction.IDT	Dispersion Threshold Identification.
eyefeatures.preprocessing.fixation_extraction.IHMM	Hidden Markov Model Identification.
eyefeatures.preprocessing.fixation_extraction.IVT	Velocity Threshold Identification.
eyefeatures.preprocessing.smoothing.FIRFilter	FIR filter.
eyefeatures.preprocessing.smoothing.IIRFilter	IIR filter.
eyefeatures.preprocessing.smoothing.SavGolFilter	Savitzky-Golay filter.
eyefeatures.preprocessing.smoothing.WienerFilter	Wiener filter.
eyefeatures.utils.ColumnDropper	Transformer that drops specified columns.
eyefeatures.visualization.dynamic_visualization.scanpath_animation	Function for tracker animation.
eyefeatures.visualization.dynamic_visualization.tracker_animation	Function for tracker animation.
eyefeatures.visualization.static_visualization.aoi_visualization
eyefeatures.visualization.static_visualization.baseline_visualization
eyefeatures.visualization.static_visualization.get_visualizations	Get visualizations.
eyefeatures.visualization.static_visualization.saccade_visualization
eyefeatures.visualization.static_visualization.scanpath_visualization	Function for scanpath and/or aoi visualization.
eyefeatures.visualization.static_visualization.Visualization