Witryna21 sty 2024 · You can try with this code: import pickle. with open ('s01.dat', 'rb') as f: x = pickle.load (f, encoding='latin1') Cite. 29th Jun, 2024. Irshed Hussain. Siksha O … Witryna22 paź 2024 · 错误产生代码： with open(os.path.join(CIFAR_DIR,"data_batch_1"),'rb') as f: data = cPickle.load(f) print(type(data)) 网上出现次数很多的解决方案，如： import sys default_encodeing = 'gbk' if sys.getdefaultencoding != default_encoding: reload(sys) sys.setdefaultencoding(default_encoding) 注： ①在python3中“reload”在模块中，首 …
GitHub - cssmillie/StrainFinder: StrainFinder
Witryna首先，如果您尝试在python3中使用pickle，请执行import pickle(在可用时使用已编译的cPickle)或from six.moves import cPickle(如果您需要与python2兼容)。 其次，您需要的编码选项是发送到pickle.load而不是open的编码选项。 1 x =cPickle.load(open('s07.dat','rb'),encoding='utf-8') Copyright © 码农家园 联 … Witryna3 gru 2015 · I installed the latest version of six (version 1.10.0) via PyPI, which replaces the syntax of import six.moves.cPickle as pickle with from six.moves import cPickle as pickle (Python 2.7.10; Mac OS X 10.10.5). The problem seems to persist. Actually, this might have solved the problem: sudo easy_install --upgrade six city data grants pass or
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Witryna18 gru 2013 · ... import cPickle rf = RandomForestRegresor () rf.fit (X, y) with open ('path/to/file', 'wb') as f: cPickle.dump (rf, f) # in your prediction file with open ('path/to/file', 'rb') as f: rf = cPickle.load (f) preds = rf.predict (new_X) Share Improve this answer Follow answered Dec 18, 2013 at 16:09 Jake Burkhead 6,405 2 20 32 1 Witryna19 lut 2014 · 二、cPickle操作函数 1. dump(obj, file[, protocol]) obj: 输出到文件的数据对象 file: 已打开的文件句柄（描述符），并且此file可写 protocol的值还可以是负数，表示以二进制的形式写入file。 dump()函数会在pickle文件中标识每次写入对象的数据类型，两次dump()操作写入的对象在文件中有特定的分隔符来标识，通过查看写入的pickle文 … Witrynafrom StrainFinder import * import cPickle em = cPickle.load (open (em_file, 'rb')) To access the alignment data in an EM object: em.data # data object em.data.x # alignment data, dim = (M x L x 4) To access the estimates in an EM object: em.estimates # list of estimate objects em.select_best_estimates (1) # estimate with best likelihood city data forum wyoming