diff --git a/.pipelines/azdo-ci-build-train.yml b/.pipelines/azdo-ci-build-train.yml
index d1d95843..3dcc56bb 100644
--- a/.pipelines/azdo-ci-build-train.yml
+++ b/.pipelines/azdo-ci-build-train.yml
@@ -36,6 +36,7 @@ stages:
           # Invoke the Python building and publishing a training pipeline
           python $(Build.SourcesDirectory)/ml_service/pipelines/${{ variables.BUILD_TRAIN_SCRIPT }}
       displayName: 'Publish Azure Machine Learning Pipeline'
+
 - stage: 'Trigger_AML_Pipeline'
   displayName: 'Train, evaluate, register model via previously published AML pipeline'
   jobs:
@@ -84,6 +85,8 @@ stages:
         PipelineId: '$(AMLPIPELINE_ID)'
         ExperimentName: '$(EXPERIMENT_NAME)'
         PipelineParameters: '"ParameterAssignments": {"model_name": "$(MODEL_NAME)", "hyperparameter_alpha": "$(ALPHA)"}'
+
+        
   - job: "Training_Run_Report"
     dependsOn: "Run_ML_Pipeline"
     displayName: "Determine if evaluation succeeded and new model is registered"
diff --git a/code/evaluate/evaluate_model.py b/code/evaluate/evaluate_model.py
index f59a87fd..f4291304 100644
--- a/code/evaluate/evaluate_model.py
+++ b/code/evaluate/evaluate_model.py
@@ -131,7 +131,7 @@
         else:
             print("New trained model metric is less than or equal to "
                   "production model so skipping model registration.")
-            run.parent.cancel()
+            # run.parent.cancel()
     else:
         print("This is the first model, "
               "thus it should be registered")
diff --git a/code/scoring/conda_dependencies.yml b/code/scoring/conda_dependencies.yml
index 41a05694..e2ac63b4 100644
--- a/code/scoring/conda_dependencies.yml
+++ b/code/scoring/conda_dependencies.yml
@@ -28,9 +28,9 @@ dependencies:
   - azureml-model-management-sdk==1.0.1b6.post1
   - azureml-sdk==1.0.74
   - scipy==1.3.1
-  - scikit-learn==0.21.3
-  - pandas==0.25.3
-  - numpy==1.17.3
+  - scikit-learn==0.22.1
+  - pandas==1.0.0
+  - numpy==1.18.1
   - joblib==0.14.0
   - gunicorn==19.9.0 
   - flask==1.1.1
diff --git a/tests/unit/code_test.py b/tests/unit/code_test.py
index 06654b2f..750fada9 100644
--- a/tests/unit/code_test.py
+++ b/tests/unit/code_test.py
@@ -18,7 +18,7 @@ def test_train_model():
     run = Mock(Run)
     reg = train_model(run, data, alpha=1.2)
 
-    run.log.assert_called_with("mse", 0.029843893480256872,
+    run.log.assert_called_with("mse", 0.029843893480257067,
                                description='Mean squared error metric')
 
     preds = reg.predict([[1], [2]])