Fixed dangerous default values (i just learned what these were)

use_cases/eluc/predictors/neural_network/neural_net_predictor.py

@@ -79,9 +79,16 @@ class NeuralNetPredictor(Predictor):
     in order to take advantage of the linear relationship in the data.
     Data is automatically standardized and the scaler is saved with the model.
     """
-    def __init__(self, features=None, label=None, hidden_sizes=[4096], linear_skip=True,
-                 dropout=0, device="mps", epochs=3, batch_size=2048, optim_params={},
-                 train_pct=1, step_lr_params={"step_size": 1, "gamma": 0.1}):
+    def __init__(self, features=None, label=None, hidden_sizes=None, linear_skip=True,
+                 dropout=0, device="mps", epochs=3, batch_size=2048, optim_params=None,
+                 train_pct=1, step_lr_params=None):
+        # Fix dangerous default param values
+        if not step_lr_params:
+            step_lr_params = {"step_size": 1, "gamma": 0.1}
+        if not hidden_sizes:
+            hidden_sizes = [4096]
+        if not optim_params:
+            optim_params = {}
 
         self.features=None
         self.label=None