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Merged
kk7nc merged 1 commit into from
Apr 23, 2019
Merged

Use print() function in both Python 2 and Python 3 #1

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11 changes: 6 additions & 5 deletions code/Hierarchical_Attention_Networks/textClassifierConv.py
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Original file line number Diff line number Diff line change
@@ -1,3 +1,4 @@
from __future__ import print_function
# author - Richard Liao
# Dec 26 2016
import numpy as np
Expand Down Expand Up @@ -38,7 +39,7 @@ def clean_str(string):
return string.strip().lower()

data_train = pd.read_csv('~/Testground/data/imdb/labeledTrainData.tsv', sep='\t')
print data_train.shape
print(data_train.shape)

texts = []
labels = []
Expand All @@ -59,8 +60,8 @@ def clean_str(string):
data = pad_sequences(sequences, maxlen=MAX_SEQUENCE_LENGTH)

labels = to_categorical(np.asarray(labels))
print('Shape of data tensor:', data.shape)
print('Shape of label tensor:', labels.shape)
print(('Shape of data tensor:', data.shape))
print(('Shape of label tensor:', labels.shape))

indices = np.arange(data.shape[0])
np.random.shuffle(indices)
Expand All @@ -74,8 +75,8 @@ def clean_str(string):
y_val = labels[-nb_validation_samples:]

print('Number of positive and negative reviews in traing and validation set ')
print y_train.sum(axis=0)
print y_val.sum(axis=0)
print(y_train.sum(axis=0))
print(y_val.sum(axis=0))

GLOVE_DIR = "/ext/home/analyst/Testground/data/glove"
embeddings_index = {}
Expand Down
13 changes: 7 additions & 6 deletions code/Hierarchical_Attention_Networks/textClassifierHATT.py
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Original file line number Diff line number Diff line change
@@ -1,3 +1,4 @@
from __future__ import print_function
# author - Richard Liao
# Dec 26 2016
import numpy as np
Expand Down Expand Up @@ -43,7 +44,7 @@ def clean_str(string):
return string.strip().lower()

data_train = pd.read_csv('~/Testground/data/imdb/labeledTrainData.tsv', sep='\t')
print data_train.shape
print(data_train.shape)

from nltk import tokenize

Expand Down Expand Up @@ -79,8 +80,8 @@ def clean_str(string):
print('Total %s unique tokens.' % len(word_index))

labels = to_categorical(np.asarray(labels))
print('Shape of data tensor:', data.shape)
print('Shape of label tensor:', labels.shape)
print(('Shape of data tensor:', data.shape))
print(('Shape of label tensor:', labels.shape))

indices = np.arange(data.shape[0])
np.random.shuffle(indices)
Expand All @@ -94,8 +95,8 @@ def clean_str(string):
y_val = labels[-nb_validation_samples:]

print('Number of positive and negative reviews in traing and validation set')
print y_train.sum(axis=0)
print y_val.sum(axis=0)
print(y_train.sum(axis=0))
print(y_val.sum(axis=0))

GLOVE_DIR = "/ext/home/analyst/Testground/data/glove"
embeddings_index = {}
Expand Down Expand Up @@ -138,7 +139,7 @@ def clean_str(string):
metrics=['acc'])

print("model fitting - Hierachical LSTM")
print model.summary()
print(model.summary())
model.fit(x_train, y_train, validation_data=(x_val, y_val),
nb_epoch=10, batch_size=50)

Expand Down
11 changes: 6 additions & 5 deletions code/Hierarchical_Attention_Networks/textClassifierRNN.py
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Original file line number Diff line number Diff line change
@@ -1,3 +1,4 @@
from __future__ import print_function
# author - Richard Liao
# Dec 26 2016
import numpy as np
Expand Down Expand Up @@ -42,7 +43,7 @@ def clean_str(string):
return string.strip().lower()

data_train = pd.read_csv('~/Testground/data/imdb/labeledTrainData.tsv', sep='\t')
print data_train.shape
print(data_train.shape)

texts = []
labels = []
Expand All @@ -63,8 +64,8 @@ def clean_str(string):
data = pad_sequences(sequences, maxlen=MAX_SEQUENCE_LENGTH)

labels = to_categorical(np.asarray(labels))
print('Shape of data tensor:', data.shape)
print('Shape of label tensor:', labels.shape)
print(('Shape of data tensor:', data.shape))
print(('Shape of label tensor:', labels.shape))

indices = np.arange(data.shape[0])
np.random.shuffle(indices)
Expand All @@ -78,8 +79,8 @@ def clean_str(string):
y_val = labels[-nb_validation_samples:]

print('Traing and validation set number of positive and negative reviews')
print y_train.sum(axis=0)
print y_val.sum(axis=0)
print(y_train.sum(axis=0))
print(y_val.sum(axis=0))

GLOVE_DIR = "~/Testground/data/glove"
embeddings_index = {}
Expand Down