fix path module bugs

setup.py

@@ -20,7 +20,11 @@ def readme():
       author="Kwan-Yuet Ho",
       author_email="stephenhky@yahoo.com.hk",
       license='MIT',
-      packages=['shorttext'],
+      packages=['shorttext',
+                'shorttext.classifiers',
+                'shorttext.data',
+                'shorttext.nnlib',
+                'shorttext.utils',],
       install_requires=[
           'numpy', 'scipy', 'keras', 'theano', 'nltk', 'gensim', 'pandas',
       ],

shorttext/__init__.py

@@ -0,0 +1,5 @@
+from .classifiers.CNNEmbedVecClassification import CNNEmbeddedVecClassifier
+from .classifiers.SumWord2VecClassification import SumEmbeddedVecClassifier
+from .classifiers.VarNNEmbedVecClassification import VarNNEmbeddedVecClassifier
+
+from .utils.classification_exceptions import ModelNotTrainedException, Word2VecModelNotExistException, AlgorithmNotExistException

shorttext/classifiers/AutoencoderEmbedVecClassification.py

@@ -8,8 +8,8 @@
 from nltk import word_tokenize
 from scipy.spatial.distance import cosine
 
-import utils.kerasmodel_io as kerasio
-from utils import ModelNotTrainedException
+from ..utils import kerasmodel_io as kerasio
+from ..utils import ModelNotTrainedException
 
 
 # Reference: Francois Chollet, "Building Autoencoders in Keras"

shorttext/classifiers/CNNEmbedVecClassification.py

@@ -1,6 +1,6 @@
-import nnlib.frameworks as fr
+from ..nnlib import frameworks as fr
 
-import classifiers.VarNNEmbedVecClassification as vnn
+import VarNNEmbedVecClassification as vnn
 
 
 # wrapper for VarNNEmbedVecClassification for using CNN only

shorttext/classifiers/SumWord2VecClassification.py

@@ -5,7 +5,7 @@
 from nltk import word_tokenize
 from scipy.spatial.distance import cosine
 
-from utils import ModelNotTrainedException
+from .. utils import ModelNotTrainedException
 
 
 class SumEmbeddedVecClassifier:

shorttext/classifiers/VarNNEmbedVecClassification.py

@@ -1,8 +1,8 @@
 import numpy as np
 from nltk import word_tokenize
 
-import utils as kerasio
-from utils import ModelNotTrainedException
+from ..utils import kerasmodel_io as kerasio
+from ..utils import ModelNotTrainedException
 
 
 class VarNNEmbeddedVecClassifier:

shorttext/classifiers/__init__.py

@@ -1,2 +1,4 @@
+import AutoencoderEmbedVecClassification, CNNEmbedVecClassification, SumWord2VecClassification, VarNNEmbedVecClassification
+
 # allowed algorithms
 allowed_algos = {'sumword2vec', 'autoencoder', 'cnn', 'vnn'}