chore(Config): added more options to sweep.yaml (#66)

* chore(Config): added more options to sweep.yaml

* fix(Config): mistake with declaring `value` <> `values` in sweep.yaml

* fix(Config): set the metric to optimize for

sweep.yaml

@@ -1,13 +1,13 @@
-program: run_pipeline.py
+program: run_sweep.py
 method: grid
 project: price-forecasting
 name: Finding best hyperparameters for price prediction
 # early_terminate:
 #   type: hyperband
 #   min_iter: 2000
-# metric:
+metric:
-#   goal: maximize
+  goal: maximize
-#   name: sharpe
+  name: sharpe
 parameters:
     path : 
       value: 'data/'
@@ -21,16 +21,20 @@ parameters:
       values: ['minmax', 'normalize', 'minmax', 'standardize', 'none']
       distribution: categorical
     include_original_data_in_ensemble:
-      value: True
+      values: [True, False]
+      distribution: categorical
     method: 
-      value: 'classification'
+      values: ['classification', 'regression']
+      distribution: categorical
     forecasting_horizon: 
       values: [1,2,3,4,5,6,7,8,9,10]
       distribution: categorical
     load_other_assets: 
-      value: False
+      values: [True, False]
+      distribution: categorical
     log_returns: 
-      value: True
+      values: [True, False]
+      distribution: categorical
     own_features: 
       value: []
     other_features: 
@@ -41,7 +45,7 @@ parameters:
       value: ["LR", "LDA", "KNN", "CART", "NB", "AB", "RF"]
       distribution: constant
     level_2_models: 
-      value: ['Ensemble_CART']
+      value: ['Ensemble_Average']
       distribution: constant