Updated Pipfile.lock

deepof/models.py

@@ -775,3 +775,5 @@ class SEQ_2_SEQ_GMVAE:
 # TODO:
 #       - Check usefulness of stateful sequential layers! (stateful=True in the LSTMs)
 #       - Investigate full covariance matrix approximation for the latent space! (details on tfp course) :)
+#       - Explore expanding the event dims of the final reconstruction layer
+#       - Gaussian Mixture as output layer? One component per bodypart (makes sense?)
\ No newline at end of file

deepof/train_model.py

@@ -400,7 +400,7 @@ if not tune:
             logparams.append(
                 hp.HParam(
                     "pheno_weight",
-                    hp.RealInterval(min_value=0, max_value=1000),
+                    hp.RealInterval(min_value=0.0, max_value=1000.0),
                     display_name="pheno weight",
                     description="weight applied to phenotypic classifier from the latent space",
                 )

deepof_experiments.smk

@@ -80,7 +80,7 @@ rule explore_encoding_dimension_and_loss_function:
         "--components {wildcards.k} "
         "--input-type coords "
         "--predictor 0 "
-        "--phenotype-classifier 0"
+        "--phenotype-classifier 0 "
         "--variational True "
         "--loss {wildcards.loss} "
         "--kl-warmup 20 "
@@ -109,7 +109,7 @@ rule explore_phenotype_classification:
         "--components {wildcards.k} "
         "--input-type coords "
         "--predictor 0 "
-        "--phenotype-classifier {wildcards.phenos}"
+        "--phenotype-classifier {wildcards.phenos} "
         "--variational True "
         "--loss {wildcards.loss} "
         "--kl-warmup 20 "