Fix reading labels type

sklearn_validation.py

@@ -89,13 +89,12 @@ le = preprocessing.LabelEncoder()
 
 # load data
 sample_names_tr, var_names_tr, x_tr = load_data(TR_TOPFEATS)
-y_tr = pd.read_csv(LABELSFILE, sep='\t', header=None).values
+y_tr = pd.read_csv(LABELSFILE, sep='\t', header=None, dtype=str).values
 y_tr = le.fit_transform(y_tr)
-print(y_tr.shape)
 sample_names_ts, var_names_ts, x_ts = load_data(TS_TOPFEATS)
 # load the TS labels if available
 if TSLABELSFILE is not None:
-    y_ts = pd.read_csv(TSLABELSFILE, sep='\t', header=None, dtype=str).values
+    y_ts = pd.read_csv(TSLABELSFILE, header=None, dtype=str).values
     y_ts = le.transform(y_ts)