Merge pull request #388 from watson-developer-cloud/codegen/nlc

Regenerate natural language classifier

Author: germanattanasio

watson_developer_cloud/natural_language_classifier_v1.py

@@ -67,14 +67,13 @@ def __init__(self, url=default_url, username=None, password=None):
             use_vcap_services=True)
 
     #########################
-    # naturallanguageclassifier
+    # Classify text
     #########################
 
     def classify(self, classifier_id, text):
         """
         Returns label information for the input. The status must be `Available` before you
-        can use the classifier to classify text. Use `Get information about a classifier`
-        to retrieve the status.
+        can use the classifier to classify text.
 
         :param str classifier_id: Classifier ID to use.
         :param str text: The submitted phrase.
@@ -92,6 +91,10 @@ def classify(self, classifier_id, text):
             method='POST', url=url, json=data, accept_json=True)
         return response
 
+    #########################
+    # Manage classifiers
+    #########################
+
     def create_classifier(self,
                           metadata,
                           training_data,
@@ -103,8 +106,8 @@ def create_classifier(self,
         Sends data to create and train a classifier and returns information about the new
         classifier.
 
-        :param file metadata: Metadata in JSON format. The metadata identifies the language of the data, and an optional name to identify the classifier. For details, see the [API reference](https://www.ibm.com/watson/developercloud/natural-language-classifier/api/v1/#create_classifier).
-        :param file training_data: Training data in CSV format. Each text value must have at least one class. The data can include up to 15,000 records. For details, see [Using your own data](https://www.ibm.com/watson/developercloud/doc/natural-language-classifier/using-your-data.html).
+        :param file metadata: Metadata in JSON format. The metadata identifies the language of the data, and an optional name to identify the classifier.
+        :param file training_data: Training data in CSV format. Each text value must have at least one class. The data can include up to 15,000 records. For details, see [Using your own data](https://console.bluemix.net/docs/services/natural-language-classifier/using-your-data.html).
         :param str metadata_filename: The filename for training_metadata.
         :param str training_data_filename: The filename for training_data.
         :return: A `dict` containing the `Classifier` response.