data_preprocess.read_data参数
时间: 2024-05-28 08:11:18 浏览: 172
data_preprocess.read_data() 函数有以下参数:
- `file_path`(必需):数据文件的路径(字符串类型)。
- `max_len`(可选):每个文本的最大长度。如果文本长度超过此值,则会被截断。默认值为 512。
- `lowercase`(可选):是否将文本转换为小写。默认为 True。
- `split_ratio`(可选):将数据集分成训练集和验证集的比例。默认为 0.9,即将 90% 的数据用于训练,10% 的数据用于验证。
- `shuffle`(可选):是否在读取数据时打乱数据的顺序。默认为 True。
该函数返回一个元组,其中包含训练集和验证集的数据。
相关问题
请在注释处填入代码完成对训练集和测试集的结巴分词from paddlenlp.datasets import load_dataset def read(data_path): data_set = [] with open(data_path, 'r', encoding='utf-8') as f: for line in f: l = line.strip('\n').split('\t') if len(l) != 2: print (len(l), line) words, labels = line.strip('\n').split('\t') data_set.append((words,labels)) return data_set train_ds = read(data_path='train.txt') dev_ds = read(data_path='dev.txt') test_ds = read(data_path='test.txt') for i in range(5): print("sentence %d" % (i), train_ds[i][0]) print("sentence %d" % (i), train_ds[i][1]) print(len(train_ds),len(dev_ds)) import jieba def data_preprocess(corpus): data_set = [] ####填结巴分词代码 for text in corpus: seg_list = jieba.cut(text) data_set.append(" ".join(seg_list)) return data_set train_corpus = data_preprocess(train_ds) test_corpus = data_preprocess(test_ds) print(train_corpus[:2]) print(test_corpus[:2])
from paddlenlp.datasets import load_dataset
def read(data_path):
data_set = []
with open(data_path, 'r', encoding='utf-8') as f:
for line in f:
l = line.strip('\n').split('\t')
if len(l) != 2:
print (len(l), line)
words, labels = line.strip('\n').split('\t')
data_set.append((words,labels))
return data_set
train_ds = read(data_path='train.txt')
dev_ds = read(data_path='dev.txt')
test_ds = read(data_path='test.txt')
for i in range(5):
print("sentence %d" % (i), train_ds[i][0])
print("sentence %d" % (i), train_ds[i][1])
print(len(train_ds),len(dev_ds))
import jieba
def data_preprocess(corpus):
data_set = []
for text in corpus:
seg_list = jieba.cut(text[0])
data_set.append((" ".join(seg_list), text[1]))
return data_set
train_corpus = data_preprocess(train_ds)
test_corpus = data_preprocess(test_ds)
print(train_corpus[:2])
print(test_corpus[:2])
org.apache.hadoop.hive.ql.metadata.HiveException:Unable to fetch table ods_preprocess_vehicle_data. Could not retrieve transaction read-only status from server
这个错误是由于在从Hive中读取表时出现了异常。可能是因为表不存在或者没有足够的权限来读取表。另外,也有可能是由于Hive服务器无法检索事务只读状态而导致的。建议你检查一下表是否存在,是否有足够的权限来读取表,以及Hive服务器的状态是否正常。如果问题仍然存在,你可以尝试重新启动Hive服务并重新执行查询。
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