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fix typo error

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release/0.10.0
qijun 8 years ago
parent b571a4148b
commit 398d50dd99
9 changed files with 26 additions and 26 deletions
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8
python/paddle/v2/dataset/cifar.py
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@ -66,12 +66,12 @@ def reader_creator(filename, sub_name):
def train100():
"""
CIFAR-100 train set creator.
CIFAR-100 training set creator.
It returns a reader creator, each sample in the reader is image pixels in
[0, 1] and label in [0, 99].
:return: Train reader creator
:return: Training reader creator
:rtype: callable
"""
return reader_creator(
@ -93,12 +93,12 @@ def test100():
def train10():
"""
CIFAR-10 train set creator.
CIFAR-10 training set creator.
It returns a reader creator, each sample in the reader is image pixels in
[0, 1] and label in [0, 9].
:return: Train reader creator
:return: Training reader creator
:rtype: callable
"""
return reader_creator(

4
python/paddle/v2/dataset/conll05.py
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@ -199,12 +199,12 @@ def test():
"""
Conll05 test set creator.
Because the train dataset is not free, the test dataset is used for
Because the training dataset is not free, the test dataset is used for
training. It returns a reader creator, each sample in the reader is nine
features, including sentence sequence, predicate, predicate context,
predicate context flag and tagged sequence.
:return: Train reader creator
:return: Training reader creator
:rtype: callable
"""
word_dict, verb_dict, label_dict = get_dict()

4
python/paddle/v2/dataset/imdb.py
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@ -121,14 +121,14 @@ def reader_creator(pos_pattern, neg_pattern, word_idx, buffer_size):
def train(word_idx):
"""
IMDB train set creator.
IMDB training set creator.
It returns a reader creator, each sample in the reader is an zero-based ID
sequence and label in [0, 1].
:param word_idx: word dictionary
:type word_idx: dict
:return: Train reader creator
:return: Training reader creator
:rtype: callable
"""
return reader_creator(

10
python/paddle/v2/dataset/imikolov.py
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@ -15,8 +15,8 @@
imikolov's simple dataset.
This module will download dataset from
http://www.fit.vutbr.cz/~imikolov/rnnlm/ and parse train/test set into paddle
reader creators.
http://www.fit.vutbr.cz/~imikolov/rnnlm/ and parse training set and test set
into paddle reader creators.
"""
import paddle.v2.dataset.common
import collections
@ -91,7 +91,7 @@ def reader_creator(filename, word_idx, n):
def train(word_idx, n):
"""
imikolov train set creator.
imikolov training set creator.
It returns a reader creator, each sample in the reader is a word ID
tuple.
@ -100,7 +100,7 @@ def train(word_idx, n):
:type word_idx: dict
:param n: sliding window size
:type n: int
:return: Train reader creator
:return: Training reader creator
:rtype: callable
"""
return reader_creator('./simple-examples/data/ptb.train.txt', word_idx, n)
@ -117,7 +117,7 @@ def test(word_idx, n):
:type word_idx: dict
:param n: sliding window size
:type n: int
:return: Train reader creator
:return: Test reader creator
:rtype: callable
"""
return reader_creator('./simple-examples/data/ptb.valid.txt', word_idx, n)

6
python/paddle/v2/dataset/mnist.py
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@ -15,7 +15,7 @@
MNIST dataset.
This module will download dataset from http://yann.lecun.com/exdb/mnist/ and
parse train/test set into paddle reader creators.
parse training set and test set into paddle reader creators.
"""
import paddle.v2.dataset.common
import subprocess
@ -76,12 +76,12 @@ def reader_creator(image_filename, label_filename, buffer_size):
def train():
"""
MNIST train set creator.
MNIST training set creator.
It returns a reader creator, each sample in the reader is image pixels in
[0, 1] and label in [0, 9].
:return: Train reader creator
:return: Training reader creator
:rtype: callable
"""
return reader_creator(

4
python/paddle/v2/dataset/movielens.py
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@ -17,8 +17,8 @@ Movielens 1-M dataset.
Movielens 1-M dataset contains 1 million ratings from 6000 users on 4000
movies, which was collected by GroupLens Research. This module will download
Movielens 1-M dataset from
http://files.grouplens.org/datasets/movielens/ml-1m.zip and parse train/test
set into paddle reader creators.
http://files.grouplens.org/datasets/movielens/ml-1m.zip and parse training
set and test set into paddle reader creators.
"""

2
python/paddle/v2/dataset/sentiment.py
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@ -113,7 +113,7 @@ def reader_creator(data):
def train():
"""
Default train set reader creator
Default training set reader creator
"""
data_set = load_sentiment_data()
return reader_creator(data_set[0:NUM_TRAINING_INSTANCES])

6
python/paddle/v2/dataset/uci_housing.py
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@ -16,7 +16,7 @@ UCI Housing dataset.
This module will download dataset from
https://archive.ics.uci.edu/ml/machine-learning-databases/housing/ and
parse train/test set into paddle reader creators.
parse training set and test set into paddle reader creators.
"""
import numpy as np
@ -73,12 +73,12 @@ def load_data(filename, feature_num=14, ratio=0.8):
def train():
"""
UCI_HOUSING train set creator.
UCI_HOUSING training set creator.
It returns a reader creator, each sample in the reader is features after
normalization and price number.
:return: Train reader creator
:return: Training reader creator
:rtype: callable
"""
global UCI_TRAIN_DATA

8
python/paddle/v2/dataset/wmt14.py
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@ -16,7 +16,7 @@ WMT14 dataset.
The original WMT14 dataset is too large and a small set of data for set is
provided. This module will download dataset from
http://paddlepaddle.cdn.bcebos.com/demo/wmt_shrinked_data/wmt14.tgz and
parse train/test set into paddle reader creators.
parse training set and test set into paddle reader creators.
"""
import tarfile
@ -105,13 +105,13 @@ def reader_creator(tar_file, file_name, dict_size):
def train(dict_size):
"""
WMT14 train set creator.
WMT14 training set creator.
It returns a reader creator, each sample in the reader is source language
word ID sequence, target language word ID sequence and next word ID
sequence.
:return: Train reader creator
:return: Training reader creator
:rtype: callable
"""
return reader_creator(
@ -126,7 +126,7 @@ def test(dict_size):
word ID sequence, target language word ID sequence and next word ID
sequence.
:return: Train reader creator
:return: Test reader creator
:rtype: callable
"""
return reader_creator(

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