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y size changed from 121 to 11

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lkrsnik 2017-07-02 11:49:41 +02:00
parent 3e76883ce6
commit f061573c0b
2 changed files with 102 additions and 22 deletions
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76
.idea/workspace.xml
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@ -2,6 +2,7 @@
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<change type="MODIFICATION" beforePath="$PROJECT_DIR$/.idea/workspace.xml" afterPath="$PROJECT_DIR$/.idea/workspace.xml" />
<change type="MODIFICATION" beforePath="$PROJECT_DIR$/cnn/word_accetuation/cnn_dictionary/character_based_ffnn_keras.ipynb" afterPath="$PROJECT_DIR$/cnn/word_accetuation/cnn_dictionary/character_based_ffnn_keras.ipynb" />
<change type="MODIFICATION" beforePath="$PROJECT_DIR$/prepare_data.py" afterPath="$PROJECT_DIR$/prepare_data.py" />
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@ -33,8 +34,8 @@
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@ -148,6 +149,7 @@
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<option value="$PROJECT_DIR$/cnn/word_accetuation/cnn_dictionary/cnn_test_on_other_attributes.ipynb" />
<option value="$PROJECT_DIR$/prepare_data.py" />
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@ -173,6 +175,7 @@
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@ -185,9 +188,40 @@
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@ -197,6 +231,7 @@
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@ -505,16 +540,6 @@
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@ -919,6 +944,16 @@
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48
prepare_data.py
View File

@ -279,7 +279,55 @@ def generate_full_matrix_inputs():
return X_train, X_other_features_train, y_train, X_validate, X_other_features_validate, y_validate
# Generate each y as an array of 11 numbers (with possible values between 0 and 1)
def generate_X_and_y(dictionary, max_word, max_num_vowels, content, vowels, accetuated_vowels, feature_dictionary):
y = np.zeros((len(content), max_num_vowels))
X = np.zeros((len(content), max_word, len(dictionary)))
print('CREATING OTHER FEATURES...')
X_other_features = create_X_features(content, feature_dictionary)
print('OTHER FEATURES CREATED!')
i = 0
for el in content:
j = 0
for c in list(el[0]):
index = 0
for d in dictionary:
if c == d:
X[i][j][index] = 1
break
index += 1
j += 1
j = 0
word_accetuations = []
num_vowels = 0
for c in list(el[3]):
index = 0
if is_vowel(el[3], j, vowels):
num_vowels += 1
for d in accetuated_vowels:
if c == d:
word_accetuations.append(num_vowels)
break
index += 1
j += 1
if len(word_accetuations) > 0:
y_value = 1/len(word_accetuations)
for el in word_accetuations:
y[i][el] = y_value
else:
y[i][0] = 1
# y[i][generate_presentable_y(word_accetuations, list(el[3]), max_num_vowels)] = 1
i += 1
print('SHUFFELING INPUTS...')
X, y, X_other_features = shuffle_inputs(X, y, X_pure=X_other_features)
print('INPUTS SHUFFELED!')
return X, X_other_features, y
# Generate each y as an array of 121 numbers (with one 1 per line and the rest zeros)
def generate_X_and_y_one_classification(dictionary, max_word, max_num_vowels, content, vowels, accetuated_vowels, feature_dictionary):
y = np.zeros((len(content), max_num_vowels * max_num_vowels ))
X = np.zeros((len(content), max_word, len(dictionary)))
print('CREATING OTHER FEATURES...')