trained quartet models for inference of phylogenetically informative features

models_maintrained on rRNA or simulated sequences trained with quartet loss, siamese loss or q+s loss30 output nodes, correct reference treemodels_variableOutputNodes: only trained on simulated sequencestrained with quartet loss, siamese loss or q+s losswith 8, 16, 32, or 64 output featurestrained on correct reference tree or on randomized reference tree<b>All data contain for each epoch:</b>weightsreconstructed trees as nexus and imagefor simulated data: motifs from in-silico mutagenesis as npy filequartet scores and lossesfeature vectors<br>