add functions to get values from parameter dict to random search

mu_map/training/random_search.py

@@ -78,6 +78,22 @@ class IntIntervalSampler(ParamSampler):
         return random.randint(self.min_val, self.max_val)
 
 
+def scatter_correction_by_params(params: Dict[str, str]):
+    return params["scatter_correction"] == "True"
+
+
+def normalization_by_params(params: Dict[str, str]):
+    _norm = params["normalization"]
+    if "Gaussian" in _norm:
+        return GaussianNormTransform()
+    elif "Max" in _norm:
+        return MaxNormTransform()
+    elif "Mean" in _norm:
+        return MeanNormTransform()
+    else:
+        raise ValueError(f"Could not find normalization for param {_norm}")
+
+
 class RandomSearch:
     def __init__(self, param_sampler=Dict[str, ParamSampler]):
         self.param_sampler = param_sampler