Index: trunk/SDToolBox/statistical_model.py
===================================================================
diff -u
--- trunk/SDToolBox/statistical_model.py	(revision 0)
+++ trunk/SDToolBox/statistical_model.py	(revision 95)
@@ -0,0 +1,48 @@
+# region // imports
+import sys
+import os
+from typing import List, Set, Dict, Tuple, Optional, Any
+
+from datetime import datetime, timedelta
+
+from SDToolBox import output_messages as om
+from SDToolBox.output_data import OutputData
+from sklearn.decomposition import PCA as skPCA
+from sklearn.preprocessing import StandardScaler
+import numpy as np
+
+from sklearn.model_selection import train_test_split
+from sklearn.model_selection import TimeSeriesSplit
+from sklearn import datasets
+from sklearn import svm
+
+import math
+import numpy as np
+import xarray as xr
+
+
+class StatisticalModel:
+
+    @staticmethod
+    def train_and_validate(
+            dataset: xr.Dataset) -> Tuple[list, list, list, list]:
+        """Trains and validates an 80% training 20% validation
+        arrays of lon / lat dataset .
+
+        Arguments:
+            dataset {xr.Dataset} -- Input xArray dataset.
+
+        Raises:
+            Exception: When dataset not given.
+
+        Returns:
+            Tuple[list, list, list, list]
+                -- Lon_train, Lon_test, Lat_train, Lat_test
+        """
+        if(not dataset):
+            raise Exception("No input dataset given.")
+        return train_test_split(
+            dataset.lon[:],
+            dataset.lat[:],
+            test_size=0.8,
+            random_state=0)