[JTH] add logger intead of print in pca and rbf initialisations

Author: tausiaj

bluemath_tk/datamining/pca.py

@@ -132,6 +132,11 @@ def __init__(
             If n_components is not an integer when it is greater than or equal to 1.
         """
 
+        super().__init__()
+        self.set_logger_name(
+            name=self.__class__.__name__, level="DEBUG" if debug else "INFO"
+        )
+
         initial_msg = f"""
         -------------------------------------------------------------------
         | Initializing PCA reduction model with the following parameters:
@@ -140,12 +145,7 @@ def __init__(
         | For more information, please refer to the documentation.
         -------------------------------------------------------------------
         """
-        print(initial_msg)
-
-        super().__init__()
-        self.set_logger_name(
-            name=self.__class__.__name__, level="DEBUG" if debug else "INFO"
-        )
+        self.logger.info(initial_msg)
 
         if n_components <= 0:
             raise ValueError("Number of components must be greater than 0.")

bluemath_tk/interpolation/rbf.py

@@ -210,6 +210,9 @@ def __init__(
             If the smooth is not a positive float.
         """
 
+        super().__init__()
+        self.set_logger_name(name=self.__class__.__name__)
+
         initial_msg = f"""
         ---------------------------------------------------------------------------------
         | Initializing RBF interpolation model with the following parameters:
@@ -223,10 +226,8 @@ def __init__(
         | Recommended lecture: https://link.springer.com/article/10.1023/A:1018975909870
         ---------------------------------------------------------------------------------
         """
-        print(initial_msg)
+        self.logger.info(initial_msg)
 
-        super().__init__()
-        self.set_logger_name(name=self.__class__.__name__)
         if not isinstance(sigma_min, float) or sigma_min < 0:
             raise ValueError("sigma_min must be a positive float.")
         self._sigma_min = sigma_min