Plotting: .pl

The ggml_ot.pl module provides a collection of functions to visualize distance matrices, embeddings, distributions, and classification results. These plotting functions are designed to work with ggml_ot datasets and outputs, offering options for dimensionality reduction, plotting techniques, and customization of the visualizations.

Patient-level plots

pl.clustermap	Plot a hierarchically-clustered heatmap with sample annotations.
pl.embedding	Plot a 2-D embedding of a precomputed distance matrix.
pl.clustermap_embedding	Plot a clustermap, an embedding, or both side-by-side.

Evaluation

pl.table	Display a DataFrame of evaluation metrics as a formatted table.
pl.confusion_matrix	Plot a confusion-matrix heatmap.
pl.contour_hyperparams	Contour plot of grid-search results over two hyperparameters.

Subspace / GMM

pl.scatter_subspace	2-D scatter plot of points in a subspace.
pl.scatter_3d	3-D scatter plot.
pl.ellipse_overlay	Draw GMM covariance ellipses onto an existing axes.
pl.panel_subspaces	Three-panel figure: mixed 3-D | rotated 2-D | clean 2-D (or learned).
pl.plot_gmm_panel	2-D scatter with optional GMM ellipse overlay.
pl.panel_synth_dataset	Multi-panel figure for a synthetic-GMM TripletDataset.