conf update

Julian Kates-Harbeck · Julian Kates-Harbeck · commit dea576eadfa6 · 2018-02-09T06:49:23.000-05:00
diff --git a/examples/conf.yaml b/examples/conf.yaml
@@ -3,21 +3,21 @@
 #will do stuff in fs_path / [username] / signal_data | shot_lists | processed shots, etc.
 
 fs_path: '/tigress'
-target: 'maxhinge' #'maxhinge' #'maxhinge' #'binary' #'hinge' 
+target: 'hinge' #'maxhinge' #'maxhinge' #'binary' #'hinge' 
 num_gpus: 4
 
 paths:
     signal_prepath: '/signal_data/' #/signal_data/jet/
     shot_list_dir: '/shot_lists/'
     tensorboard_save_path: '/Graph/'
-    data: jet_to_d3d_data #'d3d_to_jet_data' #'d3d_to_jet_data' # 'jet_to_d3d_data' #jet_data
+    data: jet_data #'d3d_to_jet_data' #'d3d_to_jet_data' # 'jet_to_d3d_data' #jet_data
     specific_signals: [] #['q95','li','ip','betan','energy','lm','pradcore','pradedge','pradtot','pin','torquein','tmamp1','tmamp2','tmfreq1','tmfreq2','pechin','energydt','ipdirect','etemp_profile','edens_profile'] #if left empty will use all valid signals defined on a machine. Only use if need a custom set
     executable: "mpi_learn.py"
     shallow_executable: "learn.py"
 
 data:
-    bleed_in: 5 #how many shots from the test sit to use in training?
-    bleed_in_repeat_fac: 10
+    bleed_in: 0 #how many shots from the test sit to use in training?
+    bleed_in_repeat_fac: 1 #how many times to repeat shots in training and validation?
     bleed_in_remove_from_test: True
     bleed_in_equalize_sets: False
     signal_to_augment: None #'plasma current' #or None
@@ -53,7 +53,7 @@ data:
     floatx: 'float32'
 
 model:
-    shallow: True
+    shallow: False
     shallow_model: 
         num_samples: 1000000 #1000000 #the number of samples to use for training
         type: "xgboost" #"xgboost" #"xgboost" #"random_forest" "xgboost"
