UPDATE: version number, README, CHANGES.txt

.eggs/README.txt

@@ -1,6 +0,0 @@
-This directory contains eggs that were downloaded by setuptools to build, test, and run plug-ins.
-
-This directory caches those eggs to prevent repeated downloads.
-
-However, it is safe to delete this directory.
-

CHANGES.txt

@@ -31,4 +31,5 @@ v0.7.4 Mon Jun 22 -- Fix for setup.py issues
 v0.7.5 Wed Jul 1 -- Public access to sentimentHQ api
 v0.7.6 Tue Jul 7 -- Add Keywords API
 v0.8.0 Fri Jul 10 -- Add Content Filtering API, Named Entities API, Facial Emotion with Localization
-v0.8.1 Wed Fri 22 -- Add Sentiment HQ to predict_text API
+v0.8.1 Wed Jul 22 -- Add Sentiment HQ to predict_text API
+v0.9.0 Tue Jul 28 -- Deprecate batch function calls in favor of type inference

README.md

@@ -83,11 +83,11 @@ Examples
 
 Batch API
 ---------
-Each `indicoio` function has a corresponding batch function for analyzing many examples with a single request. Simply pass in a list of inputs and receive a list of results in return.
+Each `indicoio` function can process many examples with a single request. Simply pass in a list of inputs and receive a list of results in return.
 ```python
->>> from indicoio import batch_sentiment
+>>> from indicoio import sentiment
 
->>> batch_sentiment(['Best day ever', 'Worst day ever'])
+>>> sentiment(['Best day ever', 'Worst day ever'])
 [0.9899001220871786, 0.005709885173415242]
 ```
 
@@ -101,12 +101,12 @@ Accepted text API names: `text_tags, political, sentiment, language`
 Accepted image API names: `fer, facial_features, image_features`
 
 ```python
->>> from indicoio import predict_text, predict_image, batch_predict_text, batch_predict_image
+>>> from indicoio import predict_text, predict_image, predict_text, predict_image
 
 >>> predict_text('Best day ever', apis=["sentiment", "language"])
 {'sentiment': 0.9899001220871786, 'language': {u'Swedish': 0.0022464881013042294, u'Vietnamese': 9.887170914498351e-05, ...}}
 
->>> batch_predict_text(['Best day ever', 'Worst day ever'], apis=["sentiment", "language"])
+>>> predict_text(['Best day ever', 'Worst day ever'], apis=["sentiment", "language"])
 {'sentiment': [0.9899001220871786, 0.005709885173415242], 'language': [{u'Swedish': 0.0022464881013042294, u'Vietnamese': 9.887170914498351e-05, u'Romanian': 0.00010661175919993216, ...}, {u'Swedish': 0.4924352805804646, u'Vietnamese': 0.028574824174911372, u'Romanian': 0.004185623723173551, u'Dutch': 0.000717033819689362, u'Korean': 0.0030093489153785826, ...}]}
 
 >>> import numpy as np
@@ -116,6 +116,6 @@ Accepted image API names: `fer, facial_features, image_features`
 >>> predict_image(test_face, apis=["fer", "facial_features"])
 {'facial_features': [0.0, -0.026176479280200796, 0.20707644777495776, ...], 'fer': {u'Angry': 0.08877494466353497, u'Sad': 0.3933999409104264, u'Neutral': 0.1910612654566151, u'Surprise': 0.0346146405941845, u'Fear': 0.17682159820518667, u'Happy': 0.11532761017005204}}
 
->>> batch_predict_image([test_face, test_face], apis=["fer", "facial_features"])
+>>> predict_image([test_face, test_face], apis=["fer", "facial_features"])
 {'facial_features': [[0.0, -0.026176479280200796, 0.20707644777495776, ...], [0.0, -0.026176479280200796, 0.20707644777495776, ...]], 'fer': [{u'Angry': 0.08877494466353497, u'Sad': 0.3933999409104264, u'Neutral': 0.1910612654566151, u'Surprise': 0.0346146405941845, u'Fear': 0.17682159820518667, u'Happy': 0.11532761017005204}, { u'Angry': 0.08877494466353497, u'Sad': 0.3933999409104264, u'Neutral': 0.1910612654566151, u'Surprise': 0.0346146405941845, u'Fear': 0.17682159820518667, u'Happy': 0.11532761017005204}]}
 ```

README.rst

@@ -91,15 +91,15 @@ Examples
 Batch API
 ---------
 
-Each ``indicoio`` function has a corresponding batch function for
-analyzing many examples with a single request. Simply pass in a list of
-inputs and receive a list of results in return.
+Each ``indicoio`` function can process many examples with a single
+request. Simply pass in a list of inputs and receive a list of results
+in return.
 
 .. code:: python
 
-    >>> from indicoio import batch_sentiment
+    >>> from indicoio import sentiment
 
-    >>> batch_sentiment(['Best day ever', 'Worst day ever'])
+    >>> sentiment(['Best day ever', 'Worst day ever'])
     [0.9899001220871786, 0.005709885173415242]
 
 Calling multiple APIs with a single function
@@ -119,12 +119,12 @@ Accepted image API names: ``fer, facial_features, image_features``
 
 .. code:: python
 
-    >>> from indicoio import predict_text, predict_image, batch_predict_text, batch_predict_image
+    >>> from indicoio import predict_text, predict_image, predict_text, predict_image
 
     >>> predict_text('Best day ever', apis=["sentiment", "language"])
     {'sentiment': 0.9899001220871786, 'language': {u'Swedish': 0.0022464881013042294, u'Vietnamese': 9.887170914498351e-05, ...}}
 
-    >>> batch_predict_text(['Best day ever', 'Worst day ever'], apis=["sentiment", "language"])
+    >>> predict_text(['Best day ever', 'Worst day ever'], apis=["sentiment", "language"])
     {'sentiment': [0.9899001220871786, 0.005709885173415242], 'language': [{u'Swedish': 0.0022464881013042294, u'Vietnamese': 9.887170914498351e-05, u'Romanian': 0.00010661175919993216, ...}, {u'Swedish': 0.4924352805804646, u'Vietnamese': 0.028574824174911372, u'Romanian': 0.004185623723173551, u'Dutch': 0.000717033819689362, u'Korean': 0.0030093489153785826, ...}]}
 
     >>> import numpy as np
@@ -134,6 +134,6 @@ Accepted image API names: ``fer, facial_features, image_features``
     >>> predict_image(test_face, apis=["fer", "facial_features"])
     {'facial_features': [0.0, -0.026176479280200796, 0.20707644777495776, ...], 'fer': {u'Angry': 0.08877494466353497, u'Sad': 0.3933999409104264, u'Neutral': 0.1910612654566151, u'Surprise': 0.0346146405941845, u'Fear': 0.17682159820518667, u'Happy': 0.11532761017005204}}
 
-    >>> batch_predict_image([test_face, test_face], apis=["fer", "facial_features"])
+    >>> predict_image([test_face, test_face], apis=["fer", "facial_features"])
     {'facial_features': [[0.0, -0.026176479280200796, 0.20707644777495776, ...], [0.0, -0.026176479280200796, 0.20707644777495776, ...]], 'fer': [{u'Angry': 0.08877494466353497, u'Sad': 0.3933999409104264, u'Neutral': 0.1910612654566151, u'Surprise': 0.0346146405941845, u'Fear': 0.17682159820518667, u'Happy': 0.11532761017005204}, { u'Angry': 0.08877494466353497, u'Sad': 0.3933999409104264, u'Neutral': 0.1910612654566151, u'Surprise': 0.0346146405941845, u'Fear': 0.17682159820518667, u'Happy': 0.11532761017005204}]}
 

indicoio/__init__.py

@@ -1,7 +1,7 @@
 from functools import wraps, partial
 import warnings
 
-Version, version, __version__, VERSION = ('0.8.1',) * 4
+Version, version, __version__, VERSION = ('0.9.0',) * 4
 
 JSON_HEADERS = {
     'Content-type': 'application/json',

setup.py

@@ -9,7 +9,7 @@ except ImportError:
 
 setup(
     name="IndicoIo",
-    version="0.8.1",
+    version="0.9.0",
     packages=[
         "indicoio",
         "indicoio.text",