diff --git a/deepof_experiments.smk b/deepof_experiments.smk index 6de1cf60c8ba3c0b35a9b114f83ef118dfcee57f..2829bb95a8d58ad6747ad25d1f9a67d73d40987c 100644 --- a/deepof_experiments.smk +++ b/deepof_experiments.smk @@ -14,8 +14,8 @@ Plot rule graph: snakemake --snakefile deepof_experiments.smk --forceall --ruleg import os outpath = "/psycl/g/mpsstatgen/lucas/DLC/DLC_autoencoders/DeepOF/deepof/logs/" -losses = ["ELBO"] # , "MMD", "ELBO+MMD"] -encodings = [6] # [2, 4, 6, 8, 10, 12, 14, 16] +losses = ["ELBO" , "MMD", "ELBO+MMD"] +encodings = [2, 4, 6, 8, 10, 12, 14, 16] cluster_numbers = [25] # [1, 5, 10, 15, 20, 25] latent_reg = ["none", "categorical", "variance", "categorical+variance"] entropy_knn = [20, 50, 80, 100] @@ -24,7 +24,7 @@ pheno_weights = [0.01, 0.1, 0.25, 0.5, 1.0, 2.0, 4.0, 10.0, 100.0] rule deepof_experiments: input: - "/psycl/g/mpsstatgen/lucas/DLC/DLC_autoencoders/DeepOF/deepof/supplementary_notebooks/recognise_elliptical_arena.ipynb", + # "/psycl/g/mpsstatgen/lucas/DLC/DLC_autoencoders/DeepOF/deepof/supplementary_notebooks/recognise_elliptical_arena.ipynb", # expand( # os.path.join( # outpath, @@ -34,15 +34,15 @@ rule deepof_experiments: # k=cluster_numbers, # enc=encodings, # ), - # expand( - # "/psycl/g/mpsstatgen/lucas/DLC/DLC_autoencoders/DeepOF/deepof/logs/latent_regularization_experiments/trained_weights/" - # "GMVAE_loss={loss}_encoding={encs}_k={k}_latreg={latreg}_entropyknn={entknn}_final_weights.h5", - # loss=losses, - # encs=encodings, - # k=cluster_numbers, - # latreg=latent_reg, - # entknn=entropy_knn, - # ), + expand( + "/psycl/g/mpsstatgen/lucas/DLC/DLC_autoencoders/DeepOF/deepof/logs/latent_regularization_experiments/trained_weights/" + "GMVAE_loss={loss}_encoding={encs}_k={k}_latreg={latreg}_entropyknn={entknn}_final_weights.h5", + loss=losses, + encs=encodings, + k=cluster_numbers, + latreg=latent_reg, + entknn=entropy_knn, + ), # expand( # "/psycl/g/mpsstatgen/lucas/DLC/DLC_autoencoders/DeepOF/deepof/logs/pheno_classification_experiments/trained_weights/" # "GMVAE_loss={loss}_encoding={encs}_k={k}_pheno={phenos}_run_1_final_weights.h5",