From 9e67c33083864e704bd5def25f3f063b610d4d85 Mon Sep 17 00:00:00 2001
From: Nabeel <khnabeelasif@qlik.com>
Date: Mon, 13 Jan 2020 10:31:37 +1100
Subject: [PATCH] Docker file for v.6.3

---
 core/_machine_learning.py | 27 ---------------------------
 docker/Dockerfile v.6.3   | 14 ++++++++++++++
 2 files changed, 14 insertions(+), 27 deletions(-)
 create mode 100644 docker/Dockerfile v.6.3

diff --git a/core/_machine_learning.py b/core/_machine_learning.py
index e41870b..98e1ce0 100644
--- a/core/_machine_learning.py
+++ b/core/_machine_learning.py
@@ -96,24 +96,6 @@ def save(self, name, path, overwrite=True, compress=3, locked_timeout=2):
                                         
                     # The Keras estimator is excluded from the model saved to the joblib file
                     self.pipe.named_steps['estimator'].model = None
-                    #self.pipe.steps[self.estimation_step] = ('estimator', None)
-                                        
-                    # Deconstruct the pipeline for pickling
-                    #self.pipe_steps = []
-                    #for step in self.pipe.steps:
-                     #   if step[0] != 'estimator':
-                      #      self.pipe_steps.append(step) 
-                       # else:
-                        #    self.pipe_steps.append(('estimator', None)) 
-                    
-                    # Delete the pipe to avoid pickling errors due to tensorflow remnants
-                    #del self.pipe
-
-                    # Avoid pickling errors due to tensorflow session remnants
-                    #sess = kerasbackend.get_session()
-                    #kerasbackend.clear_session()
-                    #sess.close()
-                    #gc.collect()
             except AttributeError:
                 pass
             
@@ -146,15 +128,6 @@ def load(self, name, path):
             # https://stackoverflow.com/questions/40785224/tensorflow-cannot-interpret-feed-dict-key-as-tensor
             kerasbackend.clear_session()
             
-            # Re-create the pipeline
-            #self.pipe = Pipeline(self.pipe_steps)
-
-            # Re-create the scikit-learn wrapper for Keras
-            #if self.estimator_type == "classifier":
-             #   self.pipe.steps[self.estimation_step] = ('estimator', KerasClassifierForQlik(**self.estimator_kwargs))
-            #else:
-             #   self.pipe.steps[self.estimation_step] = ('estimator', KerasRegressorForQlik(**self.estimator_kwargs))
-
             # Load the keras model architecture and weights from disk
             keras_model = keras.models.load_model(path + name + '.h5')
             keras_model._make_predict_function()                
diff --git a/docker/Dockerfile v.6.3 b/docker/Dockerfile v.6.3
new file mode 100644
index 0000000..d5c0ea3
--- /dev/null
+++ b/docker/Dockerfile v.6.3	
@@ -0,0 +1,14 @@
+# Use the previous version of qlik-py-tools as a parent image
+FROM nabeeloz/qlik-py-tools:6.2
+
+# Set the working directory to /qlik-py-tools/core
+WORKDIR /qlik-py-tools/core
+
+# Copy all files from the core subdirectory into the container
+COPY ./core/* /qlik-py-tools/core/
+
+# Make ports 80 and 50055 available to the world outside this container
+EXPOSE 80 50055
+
+# Run __main__.py when the container launches
+CMD ["python", "__main__.py"]
\ No newline at end of file