Switch back to dense=16

downloads-generation/models_class1/hyperparameters.yaml

@@ -42,7 +42,7 @@
 ],
 "activation": "relu",
 "output_activation": "sigmoid",
-"layer_sizes": [32],
+"layer_sizes": [16],
 "dense_layer_l1_regularization": 0.001,
 "batch_normalization": false,
 "dropout_probability": 0.0,

downloads-generation/models_class1_experiments1/GENERATE.sh

@@ -40,7 +40,7 @@ time mhcflurry-class1-train-allele-specific-models \
     --allele $ALLELES 2>&1 | tee -a LOG.standard.txt &
 
 # Model variations on qualitative + quantitative
-for mod in 0local_noL1 0local 2local widelocal dense16 dense64 noL1 onehot embedding
+for mod in 0local_noL1 0local 2local widelocal dense8 dense32 noL1 onehot embedding
 do
     cp $SCRIPT_DIR/hyperparameters-${mod}.yaml .
     mkdir models-${mod}

downloads-generation/models_class1_experiments1/hyperparameters-0local.yaml

@@ -37,7 +37,7 @@
 "activation": "relu",
 "output_activation": "sigmoid",
 "layer_sizes": [
-    32
+    16
 ],
 "dense_layer_l1_regularization": 0.001,
 "batch_normalization": false,

downloads-generation/models_class1_experiments1/hyperparameters-0local_noL1.yaml

@@ -37,7 +37,7 @@
 "activation": "relu",
 "output_activation": "sigmoid",
 "layer_sizes": [
-    32
+    16
 ],
 "dense_layer_l1_regularization": 0.0,
 "batch_normalization": false,

downloads-generation/models_class1_experiments1/hyperparameters-2local.yaml

@@ -47,7 +47,7 @@
 "activation": "relu",
 "output_activation": "sigmoid",
 "layer_sizes": [
-   32
+   16
 ],
 "dense_layer_l1_regularization": 0.001,
 "batch_normalization": false,

downloads-generation/models_class1_experiments1/hyperparameters-dense16.yaml → downloads-generation/models_class1_experiments1/hyperparameters-dense32.yaml

@@ -42,7 +42,7 @@
 "activation": "relu",
 "output_activation": "sigmoid",
 "layer_sizes": [
-   16
+   32
 ],
 "dense_layer_l1_regularization": 0.001,
 "batch_normalization": false,

downloads-generation/models_class1_experiments1/hyperparameters-dense64.yaml → downloads-generation/models_class1_experiments1/hyperparameters-dense8.yaml

@@ -42,7 +42,7 @@
 "activation": "relu",
 "output_activation": "sigmoid",
 "layer_sizes": [
-   64 
+   8
 ],
 "dense_layer_l1_regularization": 0.001,
 "batch_normalization": false,

downloads-generation/models_class1_experiments1/hyperparameters-embedding.yaml

@@ -43,7 +43,7 @@
 "activation": "relu",
 "output_activation": "sigmoid",
 "layer_sizes": [
-   32
+   16
 ],
 "dense_layer_l1_regularization": 0.001,
 "batch_normalization": false,

downloads-generation/models_class1_experiments1/hyperparameters-noL1.yaml

@@ -42,7 +42,7 @@
 "activation": "relu",
 "output_activation": "sigmoid",
 "layer_sizes": [
-   32
+   16
 ],
 "dense_layer_l1_regularization": 0.0,
 "batch_normalization": false,

downloads-generation/models_class1_experiments1/hyperparameters-onehot.yaml

@@ -42,7 +42,7 @@
 "activation": "relu",
 "output_activation": "sigmoid",
 "layer_sizes": [
-   32
+   16
 ],
 "dense_layer_l1_regularization": 0.001,
 "batch_normalization": false,

downloads-generation/models_class1_experiments1/hyperparameters-widelocal.yaml

@@ -43,7 +43,7 @@
 "activation": "relu",
 "output_activation": "sigmoid",
 "layer_sizes": [
-   32
+   16
 ],
 "dense_layer_l1_regularization": 0.001,
 "batch_normalization": false,