From 8d7e790edad5d7c369acebe4d4c11bcd4f53f49b Mon Sep 17 00:00:00 2001
From: Fabio Manganiello <blacklight86@gmail.com>
Date: Fri, 2 Oct 2020 01:17:34 +0200
Subject: [PATCH] More descriptive attribute names for the Tensorflow predict
 response.

Using `outputs` instead of `values` and `predictions` instead of `labels`.
---
 platypush/message/response/tensorflow.py |  8 ++++----
 platypush/plugins/tensorflow/__init__.py | 16 ++++++++--------
 2 files changed, 12 insertions(+), 12 deletions(-)

diff --git a/platypush/message/response/tensorflow.py b/platypush/message/response/tensorflow.py
index 75656e5e1a..484a6fda8a 100644
--- a/platypush/message/response/tensorflow.py
+++ b/platypush/message/response/tensorflow.py
@@ -44,19 +44,19 @@ class TensorflowPredictResponse(TensorflowResponse):
         super().__init__(*args, **kwargs)
 
         if output_labels and len(output_labels) == self.model.outputs[-1].shape[-1]:
-            self.output['values'] = [
+            self.output['outputs'] = [
                 {output_labels[i]: value for i, value in enumerate(p)}
                 for p in prediction
             ]
         else:
-            self.output['values'] = prediction
+            self.output['outputs'] = prediction
 
         if self.model.__class__.__name__ != 'LinearModel':
             prediction = [int(np.argmax(p)) for p in prediction]
             if output_labels:
-                self.output['labels'] = [output_labels[p] for p in prediction]
+                self.output['predictions'] = [output_labels[p] for p in prediction]
             else:
-                self.output['labels'] = prediction
+                self.output['predictions'] = prediction
 
 
 # vim:sw=4:ts=4:et:
diff --git a/platypush/plugins/tensorflow/__init__.py b/platypush/plugins/tensorflow/__init__.py
index c903fa4d4e..e6d423be53 100644
--- a/platypush/plugins/tensorflow/__init__.py
+++ b/platypush/plugins/tensorflow/__init__.py
@@ -1015,21 +1015,21 @@ class TensorflowPlugin(Plugin):
 
         :return: :class:`platypush.message.response.tensorflow.TensorflowPredictResponse`. Format:
 
-            - For regression models with no output labels specified: ``values`` will contain the output vector:
+            - For regression models with no output labels specified: ``outputs`` will contain the output vector:
 
                 .. code-block:: json
 
                   {
-                      "values": [[3.1415]]
+                      "outputs": [[3.1415]]
                   }
 
-            - For regression models with output labels specified: ``values`` will be a list of ``{label -> value}``
+            - For regression models with output labels specified: ``outputs`` will be a list of ``{label -> value}``
               maps:
 
                 .. code-block:: json
 
                   {
-                      "values": [
+                      "outputs": [
                           {
                               "x": 42.0,
                               "y": 43.0
@@ -1037,17 +1037,17 @@ class TensorflowPlugin(Plugin):
                       ]
                   }
 
-            - For neural networks: ``values`` will contain the list of the output vector like in the case of
-              regression, and ``labels`` will store the list of ``argmax`` (i.e. the index of the output unit with the
+            - For neural networks: ``outputs`` will contain the list of the output vector like in the case of
+              regression, and ``predictions`` will store the list of ``argmax`` (i.e. the index of the output unit with the
               highest value) or their labels, if the model has output labels:
 
                 .. code-block:: json
 
                   {
-                      "labels": [
+                      "predictions": [
                           "positive"
                       ],
-                      "values": [
+                      "outputs": [
                           {
                               "positive": 0.998,
                               "negative": 0.002