make language modeling name in camel case

tests/benchmarks/test_misc.py

@@ -7,7 +7,7 @@
 from vecto.benchmarks import text_classification
 from vecto.benchmarks.similarity import Similarity
 from vecto.benchmarks.sequence_labeling import SequenceLabeling
-from vecto.benchmarks.language_modeling import Language_modeling
+from vecto.benchmarks.language_modeling import LanguageModeling
 from vecto.benchmarks.analogy import visualize as analogy_visualize
 from vecto.benchmarks.similarity import visualize as similarity_visualize
 from vecto.benchmarks.text_classification import TextClassification
@@ -83,7 +83,7 @@ def test_language_modeling(self):
         embs = load_from_dir("./tests/data/embeddings/text/plain_with_file_header")
 
         for method in ['lr', '2FFNN', 'rnn', 'lstm']:
-            sequence_labeling = Language_modeling(test=True, method=method)
+            sequence_labeling = LanguageModeling(test=True, method=method)
             results = sequence_labeling.get_result(embs)
             print(results)
 

vecto/benchmarks/language_modeling/__init__.py

@@ -1 +1 @@
-from .language_modeling import Language_modeling
+from .language_modeling import LanguageModeling

vecto/benchmarks/language_modeling/language_modeling.py

@@ -223,7 +223,7 @@ def compute_perplexity(result):
         result['val_perplexity'] = np.exp(result['validation/main/loss'])
 
 
-class Language_modeling(Benchmark):
+class LanguageModeling(Benchmark):
 
     def __init__(self, normalize=True, window_size=5, method='lstm', test=False):  # 'lr', '2FFNN', 'lstm'
         self.normalize = normalize
@@ -244,6 +244,9 @@ def __init__(self, normalize=True, window_size=5, method='lstm', test=False):  #
         self.out = tmpBasePath
         self.resume = ''
 
+    def read_test_set(self, path):
+        pass
+
     def get_result(self, embeddings):
 
         self.unit = embeddings.matrix.shape[1]