Added latent regularization control to deepof.data.coordinates.deep_unsupervised_embedding()

deepof_experiments.smk

@@ -58,7 +58,7 @@ rule coarse_hyperparameter_tuning:
         "pipenv run python -m deepof.train_model "
         "--train-path {input.data_path} "
         "--val-num 25 "
-        "--components 15 "
+        "--components {wildcards.k} "
         "--input-type coords "
         "--predictor 0 "
         "--phenotype-classifier 0 "
@@ -66,7 +66,7 @@ rule coarse_hyperparameter_tuning:
         "--loss {wildcards.loss} "
         "--kl-warmup 20 "
         "--mmd-warmup 0 "
-        "--encoding-size 4 "
+        "--encoding-size {wildcards.enc} "
         "--batch-size 256 "
         "--window-size 24 "
         "--window-step 12 "