fix hyperband wrong variable names

hyperband.py

@@ -46,8 +46,8 @@ class Hyperband:
         n_iterations = int(round(n_iterations))
         embedding, model, new_model = models.get_models_by_params(params)
 
-        model = create_model(model, params["output"])
-        new_model = create_model(new_model, params["output"])
+        model = create_model(model, params["model_output"])
+        new_model = create_model(new_model, params["model_output"])
 
         if params["type"] in ("inter", "staggered"):
             model = new_model
@@ -68,7 +68,8 @@ class Hyperband:
                             shuffle=True,
                             validation_split=0.4)
 
-        return {"loss": history.history['val_loss'][-1], "early_stop": True}
+        return {"loss": history.history['val_loss'][-1],
+                "early_stop": len(history.history["loss"]) < n_iterations}
     
     # can be called multiple times
     def run(self, skip_last=0, dry_run=False):

main.py

@@ -101,11 +101,12 @@ def main_hyperband():
         # static params
         "type": [args.model_type],
         "depth": [args.model_depth],
-        "output": [args.model_output],
+        "model_output": [args.model_output],
         "batch_size": [args.batch_size],
-        "window_size": [10],
+        "window_size": [args.window],
         "flow_features": [3],
-        "input_length": [40],
+        "domain_length": [args.domain_length],
+        'input_length': [40],
         # model params
         "embedding_size": [2 ** x for x in range(3, 7)],
         "filter_embedding": [2 ** x for x in range(1, 10)],