--- a
+++ b/modules/NeuralNet/management/testingManager.py
@@ -0,0 +1,26 @@
+import pandas as pd
+from sklearn.model_selection import train_test_split
+import tensorflow as tf
+import sys
+from Status.Status import Status
+sys.path.append('/home/skjena/cnnCancerTherapy/modules/NeuralNet/core/classifiers/dnnClassifier')
+sys.path.append('/home/skjena/cnnCancerTherapy/modules/NeuralNet/core/regressor/dnnRegressor')
+
+from NeuralNet.core.classifiers.dnnClassifier import DNNClassifierModel
+#from NeuralNet.core.regressors/dnnRegressor import DNNRegressorModel
+from NeuralNet.core.classifiers.dnnClassifier import dataProcessor
+
+class testingManager():
+    def __init__(self, test_x, test_y, network, dnnModel):
+        self.test_x = test_x
+        self.test_y = test_y
+        self.network = network
+        self.dnnModel = dnnModel
+        self.status = Status("testingManager")
+
+    def run(self, model):
+        self.status.message(1, "run(self, model)")
+        result = self.dnnModel.model.evaluate(input_fn=lambda:dataProcessor.test_input_fn(self.test_x, self.test_y))
+        self.status.message(4, result)
+        self.status.message(0, "run(self, model)")
+        return result