Rename check to classify

README.md

@@ -15,7 +15,7 @@ If you want to use GPTC programmatically, use the library.
 ### `gptc.Classifier(model)`
 Create a `Classifier` object using the given model (as a Python list/dict, not
 as JSON). If the model is raw (a list), it will print a big warning on stderr.
-### `Classifier.check(text)`
+### `Classifier.classify(text)`
 Classify `text` with GPTC using the model used to instantiate the
 `Classifier`. Returns the category into which the text is placed (as a
 string), or `'unknown'` when it cannot classify the text.

gptc/__init__.py

@@ -50,7 +50,7 @@ class Classifier:
                 print('This makes everything slow, because compiling models takes far longer than using them.', file=sys.stderr)
         self.warn = supress_uncompiled_model_warning
 
-    def check(self, text):
+    def classify(self, text):
         model = self.model
         text = listify(text)
         probs = {}

gptc/__main__.py

@@ -22,4 +22,4 @@ else:
         text = input('Text to analyse: ')
     else:
         text = sys.stdin.read()
-    print(classifier.check(text))
+    print(classifier.classify(text))