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View Code? Open in Web Editor NEWAnnotator for Chinese Text Corpus (UNDER DEVELOPMENT) 中文文本标注工具
License: Apache License 2.0
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fendaq wuqixiaobai bygreencn habout632 cash2one befeng awesome-archive shinichr wllps1988315 dvector89 jialei123 colinsongf jimmy0000 hailiang-wang suntofly ppayaoxing yangyaoyunshu wrxdm lillianfly xuerenlv leecodedog jkhlot xianminx ybbz makai281 dreamliking billho chen2chenjx zhanglv0209 muzier minminzhong gitter-badger gracegay burkun koaladaddy cosecant-csc wangpanpan12345 ppn029012 gdonglin wangzy0327 wonyonyon nickyoungforu derrickcyt mihaiwong chenjun0210 minimonkey jameslin2014 lxj0276 ajoeajoe threefoldo hdulbj lostmonk rocky-zh gongxijun lium226 jackyangzg generalzh quanzeng2018 jackysnake zqhzy jingchun01 likw99 wanyongtao1988 reilf xiaojinwhu chiyuan1126 andyrbm chiuser xumaoxuan fanfanba lcy081099 congqi808 glacierck haohanchen j00131120 from1900 derek-fan yuanjie-ai daywatch chenying99 wengbenjue yunfeichen brucexia6116 hanjing0098 xiaolong2009 yxryxryxr3 zhangyunfeng2016 ag027592 sunyi00 simmoncn sophonplus chenyanmin1 ilibx biglixin dx2048 tanyufei waterzxj tutty427 movinghera xwyangjshbchinese-annotator's Issues
setupfiles==0.0.50 是什么包，pypi中也找不到
Chinese-Annotator/requirements.txt
Line 9 in 9898a4b
how to use the tool
when i intall all the packages the project needed and run yarn serve the web come out but when i click the "导入"button it raise network error
如果想白嫖的，就不要浪费时间安装了
我之前先用docker安装，不行的。
后来又原生安装，安装完了也用不起来
然后我看issue，作者本身都已经指出这就是一个半成品，还需要很多开发的。
所以看到这个帖子的你如果想白嫖，就算了，不用浪费时间了。
如果想帮助作者开发，可以继续搞，并且我希望能把搞好的东西给我白嫖。
还是感谢作者的付出，只是可以把半成品这个事情写在前面，帮助广大白嫖程序员节省时间。
安装文档混乱，按照文档很多都会报错，能不能把文档写清楚，包括环境那些，按照你的文档完全安装不成功。
Chinese Annotator version (e.g. 0.1):
Used backend / pipeline (jieba, sklearn, ...):
Operating system (windows, osx, ...):
Issue:
Proposed New Feature:
Content of configuration file (if used & relevant):
[20171128] 当前进展和关于接下来工作的思考
webui + database
前端界面和数据库都还在开发中，重点是要写好API和相应文档以便未来后端算法模块的接入，下一步希望能尽快出一个能看到界面的demo~
task_center + user_instance
当前已经搭建好一个最简单的offline training的pipeline。
下一步既然我们已经有spam email的数据和label，在前端完成之前，需要模拟用户 “拿到confidence最低的一批数据” -> "续标数据（其实就是从数据里把该部分的label拿出来）" -> "重新训练给出confidence ranking"这样一个过程，完成一个模拟的online training & inference pipeline的test case。未来就可以方便接入前端与数据库的部分。
另外一个，就是要注意把具体任务(如spam email classification)的所有配置文件(.config)，文本数据(.sqlite/mongodb)，模型数据(tensorflow/sklearn/jieba词库)乃至状态数据全都实例化单独放在同一个user_instance下面的位置。我们的目标是，用户换一台电脑装好我们的软件，把user_instance中相应任务的数据包拷贝过去，就能在尽可能简单地配置完成后接着进行之前的工作。
algo_factory
当前已经完成了符合pipline框架格式的基于component和message的 char_tokenizer, sentence_embedding_extractor和 sklean_classifier模块，可以接起来实现一个offline training的过程。
下一步，即是要实现与用户标注数据交互的一个过程，即新标注数据进来的re-train（暂时实现是所有已标注数据的全量训练，即伪active learning）以及未标注数据inference之后的confidence ranking功能，返回确信度最低的几条数据。每个功能要写unit test。
另外，要实验这样的SVM全量训练在数据多了之后，是否能给到用户active learning级别的反馈速度。如果不够快的话，就要考虑加入online batch learning来代替每次全量数据集的训练，实现真正的active learning过程；这一块挑战多多。
暂时想到这么多，欢迎大家讨论呀！
请问这个项目可以运行起来吗？
Chinese Annotator version (e.g. 0.1):
Used backend / pipeline (jieba, sklearn, ...):
Operating system (windows, osx, ...):
Issue:
Proposed New Feature:
Content of configuration file (if used & relevant):
环境已搭建好，但是这个软件怎么使用呢？
项目作者您好，很高兴有您这样的先驱者为大家解决标注刚需的问题。现在对于您项目使用上有些问题想请教。
我已经搭建好环境，使用的是mac OS系统。
- 启动yarn serve，进入JS页面后。操作面板上只有两个选项：（1）导出annotation_data.josn （2）导入（email_classify_chi_nolablel.txt)。除此之外我找不到其他导入文档的按钮。同时也找不到选择文本分类还是命名实体识别的按钮。我现在想对NER的文本进行标注，请问js页面上该如何操作呢？
- 我使用了email_classify的标注，在给导入的文档打完标签后，点击导出.josn文件，会报错：key error : "txt"。当我退出项目，重新yarn serve进入页面后，导入、导出功能都出现error。请问这是怎么回事？我该如何选择我导入、导出文件？导出后文件所在路径如何选择？
期待您的回复~~非常感谢
Get error after command "bash scripts/run_webui.sh"
copying sklearn/__check_build/setup.py -> build/lib.linux-x86_64-3.7/sklearn/__check_build
copying sklearn/__check_build/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/__check_build
creating build/lib.linux-x86_64-3.7/sklearn/_build_utils
copying sklearn/_build_utils/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/_build_utils
creating build/lib.linux-x86_64-3.7/sklearn/covariance
copying sklearn/covariance/empirical_covariance_.py -> build/lib.linux-x86_64-3.7/sklearn/covariance
copying sklearn/covariance/robust_covariance.py -> build/lib.linux-x86_64-3.7/sklearn/covariance
copying sklearn/covariance/graph_lasso_.py -> build/lib.linux-x86_64-3.7/sklearn/covariance
copying sklearn/covariance/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/covariance
copying sklearn/covariance/shrunk_covariance_.py -> build/lib.linux-x86_64-3.7/sklearn/covariance
copying sklearn/covariance/outlier_detection.py -> build/lib.linux-x86_64-3.7/sklearn/covariance
creating build/lib.linux-x86_64-3.7/sklearn/covariance/tests
copying sklearn/covariance/tests/test_graph_lasso.py -> build/lib.linux-x86_64-3.7/sklearn/covariance/tests
copying sklearn/covariance/tests/test_covariance.py -> build/lib.linux-x86_64-3.7/sklearn/covariance/tests
copying sklearn/covariance/tests/test_robust_covariance.py -> build/lib.linux-x86_64-3.7/sklearn/covariance/tests
copying sklearn/covariance/tests/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/covariance/tests
creating build/lib.linux-x86_64-3.7/sklearn/cross_decomposition
copying sklearn/cross_decomposition/cca_.py -> build/lib.linux-x86_64-3.7/sklearn/cross_decomposition
copying sklearn/cross_decomposition/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/cross_decomposition
copying sklearn/cross_decomposition/pls_.py -> build/lib.linux-x86_64-3.7/sklearn/cross_decomposition
creating build/lib.linux-x86_64-3.7/sklearn/cross_decomposition/tests
copying sklearn/cross_decomposition/tests/test_pls.py -> build/lib.linux-x86_64-3.7/sklearn/cross_decomposition/tests
copying sklearn/cross_decomposition/tests/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/cross_decomposition/tests
creating build/lib.linux-x86_64-3.7/sklearn/feature_selection
copying sklearn/feature_selection/variance_threshold.py -> build/lib.linux-x86_64-3.7/sklearn/feature_selection
copying sklearn/feature_selection/from_model.py -> build/lib.linux-x86_64-3.7/sklearn/feature_selection
copying sklearn/feature_selection/rfe.py -> build/lib.linux-x86_64-3.7/sklearn/feature_selection
copying sklearn/feature_selection/univariate_selection.py -> build/lib.linux-x86_64-3.7/sklearn/feature_selection
copying sklearn/feature_selection/mutual_info_.py -> build/lib.linux-x86_64-3.7/sklearn/feature_selection
copying sklearn/feature_selection/base.py -> build/lib.linux-x86_64-3.7/sklearn/feature_selection
copying sklearn/feature_selection/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/feature_selection
creating build/lib.linux-x86_64-3.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_feature_select.py -> build/lib.linux-x86_64-3.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_mutual_info.py -> build/lib.linux-x86_64-3.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_rfe.py -> build/lib.linux-x86_64-3.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_chi2.py -> build/lib.linux-x86_64-3.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_variance_threshold.py -> build/lib.linux-x86_64-3.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_base.py -> build/lib.linux-x86_64-3.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_from_model.py -> build/lib.linux-x86_64-3.7/sklearn/feature_selection/tests
creating build/lib.linux-x86_64-3.7/sklearn/gaussian_process
copying sklearn/gaussian_process/kernels.py -> build/lib.linux-x86_64-3.7/sklearn/gaussian_process
copying sklearn/gaussian_process/correlation_models.py -> build/lib.linux-x86_64-3.7/sklearn/gaussian_process
copying sklearn/gaussian_process/gaussian_process.py -> build/lib.linux-x86_64-3.7/sklearn/gaussian_process
copying sklearn/gaussian_process/gpc.py -> build/lib.linux-x86_64-3.7/sklearn/gaussian_process
copying sklearn/gaussian_process/regression_models.py -> build/lib.linux-x86_64-3.7/sklearn/gaussian_process
copying sklearn/gaussian_process/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/gaussian_process
copying sklearn/gaussian_process/gpr.py -> build/lib.linux-x86_64-3.7/sklearn/gaussian_process
creating build/lib.linux-x86_64-3.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_kernels.py -> build/lib.linux-x86_64-3.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gaussian_process.py -> build/lib.linux-x86_64-3.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gpc.py -> build/lib.linux-x86_64-3.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gpr.py -> build/lib.linux-x86_64-3.7/sklearn/gaussian_process/tests
creating build/lib.linux-x86_64-3.7/sklearn/mixture
copying sklearn/mixture/gaussian_mixture.py -> build/lib.linux-x86_64-3.7/sklearn/mixture
copying sklearn/mixture/gmm.py -> build/lib.linux-x86_64-3.7/sklearn/mixture
copying sklearn/mixture/bayesian_mixture.py -> build/lib.linux-x86_64-3.7/sklearn/mixture
copying sklearn/mixture/base.py -> build/lib.linux-x86_64-3.7/sklearn/mixture
copying sklearn/mixture/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/mixture
copying sklearn/mixture/dpgmm.py -> build/lib.linux-x86_64-3.7/sklearn/mixture
creating build/lib.linux-x86_64-3.7/sklearn/mixture/tests
copying sklearn/mixture/tests/test_gmm.py -> build/lib.linux-x86_64-3.7/sklearn/mixture/tests
copying sklearn/mixture/tests/test_bayesian_mixture.py -> build/lib.linux-x86_64-3.7/sklearn/mixture/tests
copying sklearn/mixture/tests/test_gaussian_mixture.py -> build/lib.linux-x86_64-3.7/sklearn/mixture/tests
copying sklearn/mixture/tests/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/mixture/tests
copying sklearn/mixture/tests/test_dpgmm.py -> build/lib.linux-x86_64-3.7/sklearn/mixture/tests
creating build/lib.linux-x86_64-3.7/sklearn/model_selection
copying sklearn/model_selection/_search.py -> build/lib.linux-x86_64-3.7/sklearn/model_selection
copying sklearn/model_selection/_validation.py -> build/lib.linux-x86_64-3.7/sklearn/model_selection
copying sklearn/model_selection/_split.py -> build/lib.linux-x86_64-3.7/sklearn/model_selection
copying sklearn/model_selection/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/model_selection
creating build/lib.linux-x86_64-3.7/sklearn/model_selection/tests
copying sklearn/model_selection/tests/test_split.py -> build/lib.linux-x86_64-3.7/sklearn/model_selection/tests
copying sklearn/model_selection/tests/test_validation.py -> build/lib.linux-x86_64-3.7/sklearn/model_selection/tests
copying sklearn/model_selection/tests/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/model_selection/tests
copying sklearn/model_selection/tests/test_search.py -> build/lib.linux-x86_64-3.7/sklearn/model_selection/tests
copying sklearn/model_selection/tests/common.py -> build/lib.linux-x86_64-3.7/sklearn/model_selection/tests
creating build/lib.linux-x86_64-3.7/sklearn/neural_network
copying sklearn/neural_network/rbm.py -> build/lib.linux-x86_64-3.7/sklearn/neural_network
copying sklearn/neural_network/_stochastic_optimizers.py -> build/lib.linux-x86_64-3.7/sklearn/neural_network
copying sklearn/neural_network/_base.py -> build/lib.linux-x86_64-3.7/sklearn/neural_network
copying sklearn/neural_network/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/neural_network
copying sklearn/neural_network/multilayer_perceptron.py -> build/lib.linux-x86_64-3.7/sklearn/neural_network
creating build/lib.linux-x86_64-3.7/sklearn/neural_network/tests
copying sklearn/neural_network/tests/test_mlp.py -> build/lib.linux-x86_64-3.7/sklearn/neural_network/tests
copying sklearn/neural_network/tests/test_stochastic_optimizers.py -> build/lib.linux-x86_64-3.7/sklearn/neural_network/tests
copying sklearn/neural_network/tests/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/neural_network/tests
copying sklearn/neural_network/tests/test_rbm.py -> build/lib.linux-x86_64-3.7/sklearn/neural_network/tests
creating build/lib.linux-x86_64-3.7/sklearn/preprocessing
copying sklearn/preprocessing/_function_transformer.py -> build/lib.linux-x86_64-3.7/sklearn/preprocessing
copying sklearn/preprocessing/imputation.py -> build/lib.linux-x86_64-3.7/sklearn/preprocessing
copying sklearn/preprocessing/label.py -> build/lib.linux-x86_64-3.7/sklearn/preprocessing
copying sklearn/preprocessing/data.py -> build/lib.linux-x86_64-3.7/sklearn/preprocessing
copying sklearn/preprocessing/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/preprocessing
creating build/lib.linux-x86_64-3.7/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_function_transformer.py -> build/lib.linux-x86_64-3.7/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_imputation.py -> build/lib.linux-x86_64-3.7/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_label.py -> build/lib.linux-x86_64-3.7/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_data.py -> build/lib.linux-x86_64-3.7/sklearn/preprocessing/tests
creating build/lib.linux-x86_64-3.7/sklearn/semi_supervised
copying sklearn/semi_supervised/label_propagation.py -> build/lib.linux-x86_64-3.7/sklearn/semi_supervised
copying sklearn/semi_supervised/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/semi_supervised
creating build/lib.linux-x86_64-3.7/sklearn/semi_supervised/tests
copying sklearn/semi_supervised/tests/test_label_propagation.py -> build/lib.linux-x86_64-3.7/sklearn/semi_supervised/tests
copying sklearn/semi_supervised/tests/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/semi_supervised/tests
creating build/lib.linux-x86_64-3.7/sklearn/cluster
copying sklearn/cluster/affinity_propagation_.py -> build/lib.linux-x86_64-3.7/sklearn/cluster
copying sklearn/cluster/setup.py -> build/lib.linux-x86_64-3.7/sklearn/cluster
copying sklearn/cluster/bicluster.py -> build/lib.linux-x86_64-3.7/sklearn/cluster
copying sklearn/cluster/spectral.py -> build/lib.linux-x86_64-3.7/sklearn/cluster
copying sklearn/cluster/mean_shift_.py -> build/lib.linux-x86_64-3.7/sklearn/cluster
copying sklearn/cluster/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/cluster
copying sklearn/cluster/k_means_.py -> build/lib.linux-x86_64-3.7/sklearn/cluster
copying sklearn/cluster/hierarchical.py -> build/lib.linux-x86_64-3.7/sklearn/cluster
copying sklearn/cluster/_feature_agglomeration.py -> build/lib.linux-x86_64-3.7/sklearn/cluster
copying sklearn/cluster/birch.py -> build/lib.linux-x86_64-3.7/sklearn/cluster
copying sklearn/cluster/dbscan_.py -> build/lib.linux-x86_64-3.7/sklearn/cluster
creating build/lib.linux-x86_64-3.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_bicluster.py -> build/lib.linux-x86_64-3.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_spectral.py -> build/lib.linux-x86_64-3.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_k_means.py -> build/lib.linux-x86_64-3.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_affinity_propagation.py -> build/lib.linux-x86_64-3.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_birch.py -> build/lib.linux-x86_64-3.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_hierarchical.py -> build/lib.linux-x86_64-3.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_dbscan.py -> build/lib.linux-x86_64-3.7/sklearn/cluster/tests
copying sklearn/cluster/tests/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/cluster/tests
copying sklearn/cluster/tests/common.py -> build/lib.linux-x86_64-3.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_mean_shift.py -> build/lib.linux-x86_64-3.7/sklearn/cluster/tests
creating build/lib.linux-x86_64-3.7/sklearn/datasets
copying sklearn/datasets/mlcomp.py -> build/lib.linux-x86_64-3.7/sklearn/datasets
copying sklearn/datasets/twenty_newsgroups.py -> build/lib.linux-x86_64-3.7/sklearn/datasets
copying sklearn/datasets/setup.py -> build/lib.linux-x86_64-3.7/sklearn/datasets
copying sklearn/datasets/samples_generator.py -> build/lib.linux-x86_64-3.7/sklearn/datasets
copying sklearn/datasets/california_housing.py -> build/lib.linux-x86_64-3.7/sklearn/datasets
copying sklearn/datasets/kddcup99.py -> build/lib.linux-x86_64-3.7/sklearn/datasets
copying sklearn/datasets/base.py -> build/lib.linux-x86_64-3.7/sklearn/datasets
copying sklearn/datasets/svmlight_format.py -> build/lib.linux-x86_64-3.7/sklearn/datasets
copying sklearn/datasets/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/datasets
copying sklearn/datasets/lfw.py -> build/lib.linux-x86_64-3.7/sklearn/datasets
copying sklearn/datasets/covtype.py -> build/lib.linux-x86_64-3.7/sklearn/datasets
copying sklearn/datasets/species_distributions.py -> build/lib.linux-x86_64-3.7/sklearn/datasets
copying sklearn/datasets/mldata.py -> build/lib.linux-x86_64-3.7/sklearn/datasets
copying sklearn/datasets/rcv1.py -> build/lib.linux-x86_64-3.7/sklearn/datasets
copying sklearn/datasets/olivetti_faces.py -> build/lib.linux-x86_64-3.7/sklearn/datasets
creating build/lib.linux-x86_64-3.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_kddcup99.py -> build/lib.linux-x86_64-3.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_20news.py -> build/lib.linux-x86_64-3.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_lfw.py -> build/lib.linux-x86_64-3.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_covtype.py -> build/lib.linux-x86_64-3.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_rcv1.py -> build/lib.linux-x86_64-3.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_base.py -> build/lib.linux-x86_64-3.7/sklearn/datasets/tests
copying sklearn/datasets/tests/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_svmlight_format.py -> build/lib.linux-x86_64-3.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_samples_generator.py -> build/lib.linux-x86_64-3.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_mldata.py -> build/lib.linux-x86_64-3.7/sklearn/datasets/tests
creating build/lib.linux-x86_64-3.7/sklearn/decomposition
copying sklearn/decomposition/sparse_pca.py -> build/lib.linux-x86_64-3.7/sklearn/decomposition
copying sklearn/decomposition/online_lda.py -> build/lib.linux-x86_64-3.7/sklearn/decomposition
copying sklearn/decomposition/dict_learning.py -> build/lib.linux-x86_64-3.7/sklearn/decomposition
copying sklearn/decomposition/setup.py -> build/lib.linux-x86_64-3.7/sklearn/decomposition
copying sklearn/decomposition/fastica_.py -> build/lib.linux-x86_64-3.7/sklearn/decomposition
copying sklearn/decomposition/truncated_svd.py -> build/lib.linux-x86_64-3.7/sklearn/decomposition
copying sklearn/decomposition/pca.py -> build/lib.linux-x86_64-3.7/sklearn/decomposition
copying sklearn/decomposition/incremental_pca.py -> build/lib.linux-x86_64-3.7/sklearn/decomposition
copying sklearn/decomposition/base.py -> build/lib.linux-x86_64-3.7/sklearn/decomposition
copying sklearn/decomposition/kernel_pca.py -> build/lib.linux-x86_64-3.7/sklearn/decomposition
copying sklearn/decomposition/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/decomposition
copying sklearn/decomposition/factor_analysis.py -> build/lib.linux-x86_64-3.7/sklearn/decomposition
copying sklearn/decomposition/nmf.py -> build/lib.linux-x86_64-3.7/sklearn/decomposition
creating build/lib.linux-x86_64-3.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_fastica.py -> build/lib.linux-x86_64-3.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_online_lda.py -> build/lib.linux-x86_64-3.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_factor_analysis.py -> build/lib.linux-x86_64-3.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_incremental_pca.py -> build/lib.linux-x86_64-3.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_truncated_svd.py -> build/lib.linux-x86_64-3.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_sparse_pca.py -> build/lib.linux-x86_64-3.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_nmf.py -> build/lib.linux-x86_64-3.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_dict_learning.py -> build/lib.linux-x86_64-3.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_pca.py -> build/lib.linux-x86_64-3.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_kernel_pca.py -> build/lib.linux-x86_64-3.7/sklearn/decomposition/tests
creating build/lib.linux-x86_64-3.7/sklearn/ensemble
copying sklearn/ensemble/voting_classifier.py -> build/lib.linux-x86_64-3.7/sklearn/ensemble
copying sklearn/ensemble/weight_boosting.py -> build/lib.linux-x86_64-3.7/sklearn/ensemble
copying sklearn/ensemble/partial_dependence.py -> build/lib.linux-x86_64-3.7/sklearn/ensemble
copying sklearn/ensemble/setup.py -> build/lib.linux-x86_64-3.7/sklearn/ensemble
copying sklearn/ensemble/bagging.py -> build/lib.linux-x86_64-3.7/sklearn/ensemble
copying sklearn/ensemble/iforest.py -> build/lib.linux-x86_64-3.7/sklearn/ensemble
copying sklearn/ensemble/base.py -> build/lib.linux-x86_64-3.7/sklearn/ensemble
copying sklearn/ensemble/gradient_boosting.py -> build/lib.linux-x86_64-3.7/sklearn/ensemble
copying sklearn/ensemble/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/ensemble
copying sklearn/ensemble/forest.py -> build/lib.linux-x86_64-3.7/sklearn/ensemble
creating build/lib.linux-x86_64-3.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_forest.py -> build/lib.linux-x86_64-3.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_voting_classifier.py -> build/lib.linux-x86_64-3.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py -> build/lib.linux-x86_64-3.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_iforest.py -> build/lib.linux-x86_64-3.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_bagging.py -> build/lib.linux-x86_64-3.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_base.py -> build/lib.linux-x86_64-3.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_partial_dependence.py -> build/lib.linux-x86_64-3.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_gradient_boosting.py -> build/lib.linux-x86_64-3.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_weight_boosting.py -> build/lib.linux-x86_64-3.7/sklearn/ensemble/tests
creating build/lib.linux-x86_64-3.7/sklearn/externals
copying sklearn/externals/odict.py -> build/lib.linux-x86_64-3.7/sklearn/externals
copying sklearn/externals/setup.py -> build/lib.linux-x86_64-3.7/sklearn/externals
copying sklearn/externals/test_externals_setup.py -> build/lib.linux-x86_64-3.7/sklearn/externals
copying sklearn/externals/funcsigs.py -> build/lib.linux-x86_64-3.7/sklearn/externals
copying sklearn/externals/six.py -> build/lib.linux-x86_64-3.7/sklearn/externals
copying sklearn/externals/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/externals
creating build/lib.linux-x86_64-3.7/sklearn/externals/joblib
copying sklearn/externals/joblib/format_stack.py -> build/lib.linux-x86_64-3.7/sklearn/externals/joblib
copying sklearn/externals/joblib/numpy_pickle_utils.py -> build/lib.linux-x86_64-3.7/sklearn/externals/joblib
copying sklearn/externals/joblib/numpy_pickle.py -> build/lib.linux-x86_64-3.7/sklearn/externals/joblib
copying sklearn/externals/joblib/testing.py -> build/lib.linux-x86_64-3.7/sklearn/externals/joblib
copying sklearn/externals/joblib/parallel.py -> build/lib.linux-x86_64-3.7/sklearn/externals/joblib
copying sklearn/externals/joblib/_memory_helpers.py -> build/lib.linux-x86_64-3.7/sklearn/externals/joblib
copying sklearn/externals/joblib/func_inspect.py -> build/lib.linux-x86_64-3.7/sklearn/externals/joblib
copying sklearn/externals/joblib/logger.py -> build/lib.linux-x86_64-3.7/sklearn/externals/joblib
copying sklearn/externals/joblib/pool.py -> build/lib.linux-x86_64-3.7/sklearn/externals/joblib
copying sklearn/externals/joblib/_compat.py -> build/lib.linux-x86_64-3.7/sklearn/externals/joblib
copying sklearn/externals/joblib/_parallel_backends.py -> build/lib.linux-x86_64-3.7/sklearn/externals/joblib
copying sklearn/externals/joblib/disk.py -> build/lib.linux-x86_64-3.7/sklearn/externals/joblib
copying sklearn/externals/joblib/numpy_pickle_compat.py -> build/lib.linux-x86_64-3.7/sklearn/externals/joblib
copying sklearn/externals/joblib/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/externals/joblib
copying sklearn/externals/joblib/_multiprocessing_helpers.py -> build/lib.linux-x86_64-3.7/sklearn/externals/joblib
copying sklearn/externals/joblib/hashing.py -> build/lib.linux-x86_64-3.7/sklearn/externals/joblib
copying sklearn/externals/joblib/my_exceptions.py -> build/lib.linux-x86_64-3.7/sklearn/externals/joblib
copying sklearn/externals/joblib/memory.py -> build/lib.linux-x86_64-3.7/sklearn/externals/joblib
creating build/lib.linux-x86_64-3.7/sklearn/feature_extraction
copying sklearn/feature_extraction/dict_vectorizer.py -> build/lib.linux-x86_64-3.7/sklearn/feature_extraction
copying sklearn/feature_extraction/text.py -> build/lib.linux-x86_64-3.7/sklearn/feature_extraction
copying sklearn/feature_extraction/stop_words.py -> build/lib.linux-x86_64-3.7/sklearn/feature_extraction
copying sklearn/feature_extraction/setup.py -> build/lib.linux-x86_64-3.7/sklearn/feature_extraction
copying sklearn/feature_extraction/image.py -> build/lib.linux-x86_64-3.7/sklearn/feature_extraction
copying sklearn/feature_extraction/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/feature_extraction
copying sklearn/feature_extraction/hashing.py -> build/lib.linux-x86_64-3.7/sklearn/feature_extraction
creating build/lib.linux-x86_64-3.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_text.py -> build/lib.linux-x86_64-3.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_dict_vectorizer.py -> build/lib.linux-x86_64-3.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_feature_hasher.py -> build/lib.linux-x86_64-3.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_image.py -> build/lib.linux-x86_64-3.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/feature_extraction/tests
creating build/lib.linux-x86_64-3.7/sklearn/manifold
copying sklearn/manifold/spectral_embedding_.py -> build/lib.linux-x86_64-3.7/sklearn/manifold
copying sklearn/manifold/setup.py -> build/lib.linux-x86_64-3.7/sklearn/manifold
copying sklearn/manifold/isomap.py -> build/lib.linux-x86_64-3.7/sklearn/manifold
copying sklearn/manifold/mds.py -> build/lib.linux-x86_64-3.7/sklearn/manifold
copying sklearn/manifold/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/manifold
copying sklearn/manifold/locally_linear.py -> build/lib.linux-x86_64-3.7/sklearn/manifold
copying sklearn/manifold/t_sne.py -> build/lib.linux-x86_64-3.7/sklearn/manifold
creating build/lib.linux-x86_64-3.7/sklearn/manifold/tests
copying sklearn/manifold/tests/test_isomap.py -> build/lib.linux-x86_64-3.7/sklearn/manifold/tests
copying sklearn/manifold/tests/test_t_sne.py -> build/lib.linux-x86_64-3.7/sklearn/manifold/tests
copying sklearn/manifold/tests/test_spectral_embedding.py -> build/lib.linux-x86_64-3.7/sklearn/manifold/tests
copying sklearn/manifold/tests/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/manifold/tests
copying sklearn/manifold/tests/test_mds.py -> build/lib.linux-x86_64-3.7/sklearn/manifold/tests
copying sklearn/manifold/tests/test_locally_linear.py -> build/lib.linux-x86_64-3.7/sklearn/manifold/tests
creating build/lib.linux-x86_64-3.7/sklearn/metrics
copying sklearn/metrics/ranking.py -> build/lib.linux-x86_64-3.7/sklearn/metrics
copying sklearn/metrics/regression.py -> build/lib.linux-x86_64-3.7/sklearn/metrics
copying sklearn/metrics/scorer.py -> build/lib.linux-x86_64-3.7/sklearn/metrics
copying sklearn/metrics/setup.py -> build/lib.linux-x86_64-3.7/sklearn/metrics
copying sklearn/metrics/classification.py -> build/lib.linux-x86_64-3.7/sklearn/metrics
copying sklearn/metrics/pairwise.py -> build/lib.linux-x86_64-3.7/sklearn/metrics
copying sklearn/metrics/base.py -> build/lib.linux-x86_64-3.7/sklearn/metrics
copying sklearn/metrics/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/metrics
creating build/lib.linux-x86_64-3.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_pairwise.py -> build/lib.linux-x86_64-3.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_score_objects.py -> build/lib.linux-x86_64-3.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_regression.py -> build/lib.linux-x86_64-3.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_ranking.py -> build/lib.linux-x86_64-3.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_classification.py -> build/lib.linux-x86_64-3.7/sklearn/metrics/tests
copying sklearn/metrics/tests/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_common.py -> build/lib.linux-x86_64-3.7/sklearn/metrics/tests
creating build/lib.linux-x86_64-3.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/unsupervised.py -> build/lib.linux-x86_64-3.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/setup.py -> build/lib.linux-x86_64-3.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/bicluster.py -> build/lib.linux-x86_64-3.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/supervised.py -> build/lib.linux-x86_64-3.7/sklearn/metrics/cluster
creating build/lib.linux-x86_64-3.7/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_bicluster.py -> build/lib.linux-x86_64-3.7/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_supervised.py -> build/lib.linux-x86_64-3.7/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_unsupervised.py -> build/lib.linux-x86_64-3.7/sklearn/metrics/cluster/tests
creating build/lib.linux-x86_64-3.7/sklearn/neighbors
copying sklearn/neighbors/regression.py -> build/lib.linux-x86_64-3.7/sklearn/neighbors
copying sklearn/neighbors/unsupervised.py -> build/lib.linux-x86_64-3.7/sklearn/neighbors
copying sklearn/neighbors/setup.py -> build/lib.linux-x86_64-3.7/sklearn/neighbors
copying sklearn/neighbors/graph.py -> build/lib.linux-x86_64-3.7/sklearn/neighbors
copying sklearn/neighbors/approximate.py -> build/lib.linux-x86_64-3.7/sklearn/neighbors
copying sklearn/neighbors/kde.py -> build/lib.linux-x86_64-3.7/sklearn/neighbors
copying sklearn/neighbors/classification.py -> build/lib.linux-x86_64-3.7/sklearn/neighbors
copying sklearn/neighbors/base.py -> build/lib.linux-x86_64-3.7/sklearn/neighbors
copying sklearn/neighbors/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/neighbors
copying sklearn/neighbors/nearest_centroid.py -> build/lib.linux-x86_64-3.7/sklearn/neighbors
creating build/lib.linux-x86_64-3.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_kde.py -> build/lib.linux-x86_64-3.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_dist_metrics.py -> build/lib.linux-x86_64-3.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_ball_tree.py -> build/lib.linux-x86_64-3.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_neighbors.py -> build/lib.linux-x86_64-3.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_nearest_centroid.py -> build/lib.linux-x86_64-3.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_approximate.py -> build/lib.linux-x86_64-3.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_kd_tree.py -> build/lib.linux-x86_64-3.7/sklearn/neighbors/tests
creating build/lib.linux-x86_64-3.7/sklearn/tree
copying sklearn/tree/export.py -> build/lib.linux-x86_64-3.7/sklearn/tree
copying sklearn/tree/setup.py -> build/lib.linux-x86_64-3.7/sklearn/tree
copying sklearn/tree/tree.py -> build/lib.linux-x86_64-3.7/sklearn/tree
copying sklearn/tree/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/tree
creating build/lib.linux-x86_64-3.7/sklearn/tree/tests
copying sklearn/tree/tests/test_export.py -> build/lib.linux-x86_64-3.7/sklearn/tree/tests
copying sklearn/tree/tests/test_tree.py -> build/lib.linux-x86_64-3.7/sklearn/tree/tests
copying sklearn/tree/tests/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/tree/tests
creating build/lib.linux-x86_64-3.7/sklearn/svm
copying sklearn/svm/setup.py -> build/lib.linux-x86_64-3.7/sklearn/svm
copying sklearn/svm/base.py -> build/lib.linux-x86_64-3.7/sklearn/svm
copying sklearn/svm/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/svm
copying sklearn/svm/classes.py -> build/lib.linux-x86_64-3.7/sklearn/svm
copying sklearn/svm/bounds.py -> build/lib.linux-x86_64-3.7/sklearn/svm
creating build/lib.linux-x86_64-3.7/sklearn/svm/tests
copying sklearn/svm/tests/test_svm.py -> build/lib.linux-x86_64-3.7/sklearn/svm/tests
copying sklearn/svm/tests/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/svm/tests
copying sklearn/svm/tests/test_bounds.py -> build/lib.linux-x86_64-3.7/sklearn/svm/tests
copying sklearn/svm/tests/test_sparse.py -> build/lib.linux-x86_64-3.7/sklearn/svm/tests
creating build/lib.linux-x86_64-3.7/sklearn/linear_model
copying sklearn/linear_model/ridge.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model
copying sklearn/linear_model/least_angle.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model
copying sklearn/linear_model/theil_sen.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model
copying sklearn/linear_model/omp.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model
copying sklearn/linear_model/logistic.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model
copying sklearn/linear_model/perceptron.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model
copying sklearn/linear_model/setup.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model
copying sklearn/linear_model/stochastic_gradient.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model
copying sklearn/linear_model/randomized_l1.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model
copying sklearn/linear_model/bayes.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model
copying sklearn/linear_model/passive_aggressive.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model
copying sklearn/linear_model/base.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model
copying sklearn/linear_model/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model
copying sklearn/linear_model/coordinate_descent.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model
copying sklearn/linear_model/sag.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model
copying sklearn/linear_model/huber.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model
copying sklearn/linear_model/ransac.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model
creating build/lib.linux-x86_64-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_bayes.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_theil_sen.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_huber.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_least_angle.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_omp.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_coordinate_descent.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sparse_coordinate_descent.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_randomized_l1.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sgd.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_logistic.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_base.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sag.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_perceptron.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_ransac.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_passive_aggressive.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_ridge.py -> build/lib.linux-x86_64-3.7/sklearn/linear_model/tests
creating build/lib.linux-x86_64-3.7/sklearn/utils
copying sklearn/utils/arpack.py -> build/lib.linux-x86_64-3.7/sklearn/utils
copying sklearn/utils/bench.py -> build/lib.linux-x86_64-3.7/sklearn/utils
copying sklearn/utils/metaestimators.py -> build/lib.linux-x86_64-3.7/sklearn/utils
copying sklearn/utils/class_weight.py -> build/lib.linux-x86_64-3.7/sklearn/utils
copying sklearn/utils/optimize.py -> build/lib.linux-x86_64-3.7/sklearn/utils
copying sklearn/utils/setup.py -> build/lib.linux-x86_64-3.7/sklearn/utils
copying sklearn/utils/testing.py -> build/lib.linux-x86_64-3.7/sklearn/utils
copying sklearn/utils/mocking.py -> build/lib.linux-x86_64-3.7/sklearn/utils
copying sklearn/utils/random.py -> build/lib.linux-x86_64-3.7/sklearn/utils
copying sklearn/utils/graph.py -> build/lib.linux-x86_64-3.7/sklearn/utils
copying sklearn/utils/stats.py -> build/lib.linux-x86_64-3.7/sklearn/utils
copying sklearn/utils/estimator_checks.py -> build/lib.linux-x86_64-3.7/sklearn/utils
copying sklearn/utils/linear_assignment_.py -> build/lib.linux-x86_64-3.7/sklearn/utils
copying sklearn/utils/multiclass.py -> build/lib.linux-x86_64-3.7/sklearn/utils
copying sklearn/utils/fixes.py -> build/lib.linux-x86_64-3.7/sklearn/utils
copying sklearn/utils/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/utils
copying sklearn/utils/deprecation.py -> build/lib.linux-x86_64-3.7/sklearn/utils
copying sklearn/utils/extmath.py -> build/lib.linux-x86_64-3.7/sklearn/utils
copying sklearn/utils/sparsefuncs.py -> build/lib.linux-x86_64-3.7/sklearn/utils
copying sklearn/utils/_scipy_sparse_lsqr_backport.py -> build/lib.linux-x86_64-3.7/sklearn/utils
copying sklearn/utils/validation.py -> build/lib.linux-x86_64-3.7/sklearn/utils
creating build/lib.linux-x86_64-3.7/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/setup.py -> build/lib.linux-x86_64-3.7/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/_graph_validation.py -> build/lib.linux-x86_64-3.7/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/utils/sparsetools
creating build/lib.linux-x86_64-3.7/sklearn/utils/sparsetools/tests
copying sklearn/utils/sparsetools/tests/test_traversal.py -> build/lib.linux-x86_64-3.7/sklearn/utils/sparsetools/tests
copying sklearn/utils/sparsetools/tests/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/utils/sparsetools/tests
creating build/lib.linux-x86_64-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_fast_dict.py -> build/lib.linux-x86_64-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_seq_dataset.py -> build/lib.linux-x86_64-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_murmurhash.py -> build/lib.linux-x86_64-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_sparsefuncs.py -> build/lib.linux-x86_64-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_validation.py -> build/lib.linux-x86_64-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_stats.py -> build/lib.linux-x86_64-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_fixes.py -> build/lib.linux-x86_64-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_graph.py -> build/lib.linux-x86_64-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_utils.py -> build/lib.linux-x86_64-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_metaestimators.py -> build/lib.linux-x86_64-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_class_weight.py -> build/lib.linux-x86_64-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_estimator_checks.py -> build/lib.linux-x86_64-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_extmath.py -> build/lib.linux-x86_64-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_linear_assignment.py -> build/lib.linux-x86_64-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_random.py -> build/lib.linux-x86_64-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_testing.py -> build/lib.linux-x86_64-3.7/sklearn/utils/tests
copying sklearn/utils/tests/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_bench.py -> build/lib.linux-x86_64-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_multiclass.py -> build/lib.linux-x86_64-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_optimize.py -> build/lib.linux-x86_64-3.7/sklearn/utils/tests
copying sklearn/utils/tests/test_shortest_path.py -> build/lib.linux-x86_64-3.7/sklearn/utils/tests
creating build/lib.linux-x86_64-3.7/sklearn/tests
copying sklearn/tests/test_multioutput.py -> build/lib.linux-x86_64-3.7/sklearn/tests
copying sklearn/tests/test_kernel_approximation.py -> build/lib.linux-x86_64-3.7/sklearn/tests
copying sklearn/tests/test_pipeline.py -> build/lib.linux-x86_64-3.7/sklearn/tests
copying sklearn/tests/test_isotonic.py -> build/lib.linux-x86_64-3.7/sklearn/tests
copying sklearn/tests/test_naive_bayes.py -> build/lib.linux-x86_64-3.7/sklearn/tests
copying sklearn/tests/test_metaestimators.py -> build/lib.linux-x86_64-3.7/sklearn/tests
copying sklearn/tests/test_dummy.py -> build/lib.linux-x86_64-3.7/sklearn/tests
copying sklearn/tests/test_learning_curve.py -> build/lib.linux-x86_64-3.7/sklearn/tests
copying sklearn/tests/test_init.py -> build/lib.linux-x86_64-3.7/sklearn/tests
copying sklearn/tests/test_check_build.py -> build/lib.linux-x86_64-3.7/sklearn/tests
copying sklearn/tests/test_grid_search.py -> build/lib.linux-x86_64-3.7/sklearn/tests
copying sklearn/tests/test_cross_validation.py -> build/lib.linux-x86_64-3.7/sklearn/tests
copying sklearn/tests/test_discriminant_analysis.py -> build/lib.linux-x86_64-3.7/sklearn/tests
copying sklearn/tests/test_random_projection.py -> build/lib.linux-x86_64-3.7/sklearn/tests
copying sklearn/tests/test_base.py -> build/lib.linux-x86_64-3.7/sklearn/tests
copying sklearn/tests/test_calibration.py -> build/lib.linux-x86_64-3.7/sklearn/tests
copying sklearn/tests/__init__.py -> build/lib.linux-x86_64-3.7/sklearn/tests
copying sklearn/tests/test_multiclass.py -> build/lib.linux-x86_64-3.7/sklearn/tests
copying sklearn/tests/test_kernel_ridge.py -> build/lib.linux-x86_64-3.7/sklearn/tests
copying sklearn/tests/test_common.py -> build/lib.linux-x86_64-3.7/sklearn/tests
running build_clib
customize UnixCCompiler
customize UnixCCompiler using build_clib
building 'libsvm-skl' library
compiling C++ sources
C compiler: g++ -pthread -B /root/anaconda3/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -fPIC
creating build/temp.linux-x86_64-3.7
creating build/temp.linux-x86_64-3.7/sklearn
creating build/temp.linux-x86_64-3.7/sklearn/svm
creating build/temp.linux-x86_64-3.7/sklearn/svm/src
creating build/temp.linux-x86_64-3.7/sklearn/svm/src/libsvm
compile options: '-I/root/anaconda3/lib/python3.7/site-packages/numpy/core/include -c'
g++: sklearn/svm/src/libsvm/libsvm_template.cpp
ar: adding 1 object files to build/temp.linux-x86_64-3.7/liblibsvm-skl.a
running build_ext
customize UnixCCompiler
customize UnixCCompiler using build_ext
customize UnixCCompiler
customize UnixCCompiler using build_ext
building 'sklearn.__check_build._check_build' extension
compiling C sources
C compiler: gcc -pthread -B /root/anaconda3/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-x86_64-3.7/sklearn/__check_build
compile options: '-I/root/anaconda3/lib/python3.7/site-packages/numpy/core/include -I/root/anaconda3/lib/python3.7/site-packages/numpy/core/include -I/root/anaconda3/include/python3.7m -c'
gcc: sklearn/__check_build/_check_build.c
gcc -pthread -shared -B /root/anaconda3/compiler_compat -L/root/anaconda3/lib -Wl,-rpath=/root/anaconda3/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/sklearn/__check_build/_check_build.o -Lbuild/temp.linux-x86_64-3.7 -o build/lib.linux-x86_64-3.7/sklearn/__check_build/_check_build.cpython-37m-x86_64-linux-gnu.so
building 'sklearn.cluster._dbscan_inner' extension
compiling C++ sources
C compiler: g++ -pthread -B /root/anaconda3/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -fPIC
creating build/temp.linux-x86_64-3.7/sklearn/cluster
compile options: '-I/root/anaconda3/lib/python3.7/site-packages/numpy/core/include -I/root/anaconda3/lib/python3.7/site-packages/numpy/core/include -I/root/anaconda3/include/python3.7m -c'
g++: sklearn/cluster/_dbscan_inner.cpp
In file included from /root/anaconda3/lib/python3.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1824:0,
from /root/anaconda3/lib/python3.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,
from /root/anaconda3/lib/python3.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_dbscan_inner.cpp:306:
/root/anaconda3/lib/python3.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning "Using deprecated NumPy API, disable it with " "#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it with " \
^~~~~~~
In file included from /root/anaconda3/lib/python3.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:21:0,
from /root/anaconda3/lib/python3.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_dbscan_inner.cpp:306:
/root/anaconda3/lib/python3.7/site-packages/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: ‘int _import_array()’ defined but not used [-Wunused-function]
_import_array(void)
^~~~~~~~~~~~~
g++ -pthread -shared -B /root/anaconda3/compiler_compat -L/root/anaconda3/lib -Wl,-rpath=/root/anaconda3/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/sklearn/cluster/_dbscan_inner.o -Lbuild/temp.linux-x86_64-3.7 -o build/lib.linux-x86_64-3.7/sklearn/cluster/_dbscan_inner.cpython-37m-x86_64-linux-gnu.so
building 'sklearn.cluster._hierarchical' extension
compiling C++ sources
C compiler: g++ -pthread -B /root/anaconda3/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -fPIC
compile options: '-I/root/anaconda3/lib/python3.7/site-packages/numpy/core/include -I/root/anaconda3/lib/python3.7/site-packages/numpy/core/include -I/root/anaconda3/include/python3.7m -c'
g++: sklearn/cluster/_hierarchical.cpp
In file included from /root/anaconda3/lib/python3.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1824:0,
from /root/anaconda3/lib/python3.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,
from /root/anaconda3/lib/python3.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_hierarchical.cpp:302:
/root/anaconda3/lib/python3.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning "Using deprecated NumPy API, disable it with " "#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it with " \
^~~~~~~
sklearn/cluster/_hierarchical.cpp: In function ‘void __Pyx__ExceptionSave(PyThreadState*, PyObject**, PyObject**, PyObject**)’:
sklearn/cluster/_hierarchical.cpp:22118:21: error: ‘PyThreadState {aka struct _ts}’ has no member named ‘exc_type’; did you mean ‘curexc_type’?
*type = tstate->exc_type;
^~~~~~~~
curexc_type
sklearn/cluster/_hierarchical.cpp:22119:22: error: ‘PyThreadState {aka struct _ts}’ has no member named ‘exc_value’; did you mean ‘curexc_value’?
*value = tstate->exc_value;
^~~~~~~~~
curexc_value
sklearn/cluster/_hierarchical.cpp:22120:19: error: ‘PyThreadState {aka struct _ts}’ has no member named ‘exc_traceback’; did you mean ‘curexc_traceback’?
*tb = tstate->exc_traceback;
^~~~~~~~~~~~~
curexc_traceback
sklearn/cluster/_hierarchical.cpp: In function ‘void __Pyx__ExceptionReset(PyThreadState*, PyObject*, PyObject*, PyObject*)’:
sklearn/cluster/_hierarchical.cpp:22127:24: error: ‘PyThreadState {aka struct _ts}’ has no member named ‘exc_type’; did you mean ‘curexc_type’?
tmp_type = tstate->exc_type;
^~~~~~~~
curexc_type
sklearn/cluster/_hierarchical.cpp:22128:25: error: ‘PyThreadState {aka struct _ts}’ has no member named ‘exc_value’; did you mean ‘curexc_value’?
tmp_value = tstate->exc_value;
^~~~~~~~~
curexc_value
sklearn/cluster/_hierarchical.cpp:22129:22: error: ‘PyThreadState {aka struct _ts}’ has no member named ‘exc_traceback’; did you mean ‘curexc_traceback’?
tmp_tb = tstate->exc_traceback;
^~~~~~~~~~~~~
curexc_traceback
sklearn/cluster/_hierarchical.cpp:22130:13: error: ‘PyThreadState {aka struct _ts}’ has no member named ‘exc_type’; did you mean ‘curexc_type’?
tstate->exc_type = type;
^~~~~~~~
curexc_type
sklearn/cluster/_hierarchical.cpp:22131:13: error: ‘PyThreadState {aka struct _ts}’ has no member named ‘exc_value’; did you mean ‘curexc_value’?
tstate->exc_value = value;
^~~~~~~~~
curexc_value
sklearn/cluster/_hierarchical.cpp:22132:13: error: ‘PyThreadState {aka struct _ts}’ has no member named ‘exc_traceback’; did you mean ‘curexc_traceback’?
tstate->exc_traceback = tb;
^~~~~~~~~~~~~
curexc_traceback
sklearn/cluster/_hierarchical.cpp: In function ‘int __Pyx__GetException(PyThreadState*, PyObject**, PyObject**, PyObject**)’:
sklearn/cluster/_hierarchical.cpp:22187:24: error: ‘PyThreadState {aka struct _ts}’ has no member named ‘exc_type’; did you mean ‘curexc_type’?
tmp_type = tstate->exc_type;
^~~~~~~~
curexc_type
sklearn/cluster/_hierarchical.cpp:22188:25: error: ‘PyThreadState {aka struct _ts}’ has no member named ‘exc_value’; did you mean ‘curexc_value’?
tmp_value = tstate->exc_value;
^~~~~~~~~
curexc_value
sklearn/cluster/_hierarchical.cpp:22189:22: error: ‘PyThreadState {aka struct _ts}’ has no member named ‘exc_traceback’; did you mean ‘curexc_traceback’?
tmp_tb = tstate->exc_traceback;
^~~~~~~~~~~~~
curexc_traceback
sklearn/cluster/_hierarchical.cpp:22190:13: error: ‘PyThreadState {aka struct _ts}’ has no member named ‘exc_type’; did you mean ‘curexc_type’?
tstate->exc_type = local_type;
^~~~~~~~
curexc_type
sklearn/cluster/_hierarchical.cpp:22191:13: error: ‘PyThreadState {aka struct _ts}’ has no member named ‘exc_value’; did you mean ‘curexc_value’?
tstate->exc_value = local_value;
^~~~~~~~~
curexc_value
sklearn/cluster/_hierarchical.cpp:22192:13: error: ‘PyThreadState {aka struct _ts}’ has no member named ‘exc_traceback’; did you mean ‘curexc_traceback’?
tstate->exc_traceback = local_tb;
^~~~~~~~~~~~~
curexc_traceback
sklearn/cluster/_hierarchical.cpp: In function ‘void __Pyx__ExceptionSwap(PyThreadState*, PyObject**, PyObject**, PyObject**)’:
sklearn/cluster/_hierarchical.cpp:22214:24: error: ‘PyThreadState {aka struct _ts}’ has no member named ‘exc_type’; did you mean ‘curexc_type’?
tmp_type = tstate->exc_type;
^~~~~~~~
curexc_type
sklearn/cluster/_hierarchical.cpp:22215:25: error: ‘PyThreadState {aka struct _ts}’ has no member named ‘exc_value’; did you mean ‘curexc_value’?
tmp_value = tstate->exc_value;
^~~~~~~~~
curexc_value
sklearn/cluster/_hierarchical.cpp:22216:22: error: ‘PyThreadState {aka struct _ts}’ has no member named ‘exc_traceback’; did you mean ‘curexc_traceback’?
tmp_tb = tstate->exc_traceback;
^~~~~~~~~~~~~
curexc_traceback
sklearn/cluster/_hierarchical.cpp:22217:13: error: ‘PyThreadState {aka struct _ts}’ has no member named ‘exc_type’; did you mean ‘curexc_type’?
tstate->exc_type = *type;
^~~~~~~~
curexc_type
sklearn/cluster/_hierarchical.cpp:22218:13: error: ‘PyThreadState {aka struct _ts}’ has no member named ‘exc_value’; did you mean ‘curexc_value’?
tstate->exc_value = *value;
^~~~~~~~~
curexc_value
sklearn/cluster/_hierarchical.cpp:22219:13: error: ‘PyThreadState {aka struct _ts}’ has no member named ‘exc_traceback’; did you mean ‘curexc_traceback’?
tstate->exc_traceback = *tb;
^~~~~~~~~~~~~
curexc_traceback
error: Command "g++ -pthread -B /root/anaconda3/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -I/root/anaconda3/lib/python3.7/site-packages/numpy/core/include -I/root/anaconda3/lib/python3.7/site-packages/numpy/core/include -I/root/anaconda3/include/python3.7m -c sklearn/cluster/_hierarchical.cpp -o build/temp.linux-x86_64-3.7/sklearn/cluster/_hierarchical.o -MMD -MF build/temp.linux-x86_64-3.7/sklearn/cluster/_hierarchical.o.d" failed with exit status 1
----------------------------------------
Rolling back uninstall of scikit-learn
Moving to /root/anaconda3/lib/python3.7/site-packages/scikit_learn-0.20.3.dist-info/
from /root/anaconda3/lib/python3.7/site-packages/~cikit_learn-0.20.3.dist-info
Moving to /root/anaconda3/lib/python3.7/site-packages/sklearn/
from /root/anaconda3/lib/python3.7/site-packages/~klearn
Command "/root/anaconda3/bin/python -u -c "import setuptools, tokenize;__file__='/tmp/pip-install-yfjsrsv_/scikit-learn/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" install --record /tmp/pip-record-3fk13hc4/install-record.txt --single-version-externally-managed --compile" failed with error code 1 in /tmp/pip-install-yfjsrsv_/scikit-learn/
Watching for file changes with StatReloader
Exception in thread django-main-thread:
Traceback (most recent call last):
File "/root/anaconda3/lib/python3.7/threading.py", line 917, in _bootstrap_inner
self.run()
File "/root/anaconda3/lib/python3.7/threading.py", line 865, in run
self._target(*self._args, **self._kwargs)
File "/root/anaconda3/lib/python3.7/site-packages/django/utils/autoreload.py", line 53, in wrapper
fn(*args, **kwargs)
File "/root/anaconda3/lib/python3.7/site-packages/django/core/management/commands/runserver.py", line 109, in inner_run
autoreload.raise_last_exception()
File "/root/anaconda3/lib/python3.7/site-packages/django/utils/autoreload.py", line 76, in raise_last_exception
raise _exception[1]
File "/root/anaconda3/lib/python3.7/site-packages/django/core/management/__init__.py", line 357, in execute
autoreload.check_errors(django.setup)()
File "/root/anaconda3/lib/python3.7/site-packages/django/utils/autoreload.py", line 53, in wrapper
fn(*args, **kwargs)
File "/root/anaconda3/lib/python3.7/site-packages/django/__init__.py", line 24, in setup
apps.populate(settings.INSTALLED_APPS)
File "/root/anaconda3/lib/python3.7/site-packages/django/apps/registry.py", line 91, in populate
app_config = AppConfig.create(entry)
File "/root/anaconda3/lib/python3.7/site-packages/django/apps/config.py", line 90, in create
module = import_module(entry)
File "/root/anaconda3/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
File "<frozen importlib._bootstrap>", line 983, in _find_and_load
File "<frozen importlib._bootstrap>", line 965, in _find_and_load_unlocked
ModuleNotFoundError: No module named 'rest_framework'
支持Windows系统吗
[algo_factory][task_center]细化函数定义、输入输出及config格式
把algo_factory和task_center部分的架构和函数功能、输入输出简单细化定义好。
这样大家往进填东西的话就比较清楚任务目标了。
any readme to get start, like installation, launch?
Seems hard-coded localhost access.
It can be only accessed from localhost. It seems hardcoded, where can I edit?
[webui] 前端加入快捷键设置
可以仿照YEDDA加入标注快捷键的设置。
用户用熟了快捷键会比鼠标点选效率高很多。
requirements.txt中pip安装的包有版本冲突
requests==2.20.0和urllib3==1.26.5没法共存
解决办法：将requests升级到最高版本
安装太不友好了，可以提供个docker版的吗
搞了一天硬是装不起来，依赖的东西太多太多.
1.python virtualenv装scikit-learn怎么装就是失败，尝试了无数回，改了requirements.txt 版本号终于装好了。
2.github下载代码库，40M下了一个小时下不下来。无奈翻墙下载，秒速下完。
3.机器上没有node环境，装个node，这个包缺那个包缺，一个个装好
4.yarn start 一直报错找不到start参数，搜到到堆栈溢出，终于找到解决方案，魔改参数
5.解决上个问题，然后build，src报错，完全没思路了
这安装依赖环境太多了，一般人都用不起啊
archi_webui_database.md 能否细化数据库的部分
archi_webui_database.md 能否细化数据库的部分，比如sqlite数据库存储什么数据，mongoDB存储什么数据？sqlite数据库结构是什么样子的？mongoDB结构是什么样子的？
can we use task scheduler like luigi or celery in our project?
use luigi airflow to schedule task (algorithm) in our project?
offline 部分当标注数据积累到一定数量时更新模型，这个一定数量是多少？
Chinese Annotator version (e.g. 0.1):
Used backend / pipeline (jieba, sklearn, ...):
Operating system (windows, osx, ...):
Issue:
我看offline里面没有算法，开发计划是怎样的？
Proposed New Feature:
Content of configuration file (if used & relevant):
how to get started?
After install deps
pip install -r requirements.txt
What to do next? how to run the service?
针对大语料要先做聚类处理
为了提高标注的效率，需要使用聚类方法先做一下处理。
[webui]一个rasa_nlu_trainer的前端参考
烦请参考：
代码: https://github.com/RasaHQ/rasa-nlu-trainer
Online Demo: https://rasahq.github.io/rasa-nlu-trainer/
本身是标intent和entity，可以理解为classification和ner两个模块。
这个demo相对于prodigy的一个进步是可以标entity了，即ner标注的交互。
安装文档有些问题，建议更新下
经过一番折腾终于能run起来了，安装文档我觉得需要完善下：
- mongod命令，需要用户提前安装好mongo，并配置到PATH，这个需要提示下用户。
- 启动web服务的命令是
yarn serve，不是yarn start
能不能写个简单教程在ubuntu/mac下怎么启动、使用这个项目
Chinese Annotator version (e.g. 0.1):
Used backend / pipeline (jieba, sklearn, ...):
Operating system (windows, osx, ...):
Issue:
Proposed New Feature:
Content of configuration file (if used & relevant):
执行 bash scripts/run_webui.sh 提示错误ModuleNotFoundError: No module named 'chi_annotator.webui'
Chinese Annotator version (e.g. 0.1):
Used backend / pipeline (jieba, sklearn, ...):
Operating system (windows, osx, ...):
Issue:
Proposed New Feature:
Content of configuration file (if used & relevant):
请教个启动的问题
按照readme的指示，全部安装完了，bash scripts/run_webui.sh后，开了一个新的终端，把nodejs、npm、yarn都安装完了，但是报如下错误
当使用npm run serve时，报如下错误
[database]which database should we use, sqlite, pgsql or mongodb?
前段页面所需要的用户的操作
前期我们想实现三种中文NLP任务的标注工具：中文命名实体识别，中文关系识别，中文文本分类。
针对这三种任务前段页面分别需要用户进行什么样子的交互呢
add command line mode
[feature wanted]多人交叉验证的标注质量控制
每个task可以选择多人交叉验证。
不同worker标注出现出入的话，需要一个owner最后确认。
另外足够多数据训练之后，可以考虑将算法置信度也引入帮助判断和怀疑标注质量。
[algo_factory] Spam Email Classification Pipeline and Module Prototype
算法这块，现在有email spam数据，有classification的目标了
要实现：
- 前端导入数据写入database里面。然后一个一个给用户标注spam or not这个功能，并把标注结果通过api传给算法（这部分需要task_center调度）
- 算法这里先做online的传统机器学习部分，要做数据预处理(chi_annotator/algo_factory/preprocess/)，feature提取(chi_annotator/algo_factory/feature_extraction/)以及SVM的分类运算(chi_annotator/algo_factory/online/)
整个pipeline要模块化和通用化写成不同的py文件，这样config里面定义好pipeline的模块，就可以调用不同的部分跑流程了。 - 算法要实现置信度的运算和ranking，然后反馈给前端下一个需要标注的结果，这部分也要有一个调度和接口.
一个从rasa_nlu拿来的SVM例子放去了chi_annotator/algo_factory/online，供参考。
大家协助一起把它细化，然后尝试认领其中某一块开始实现。具体代码实现之前，我们要把函数定义与输入输出商议好。
如果是新函数新代码，可以直接push；如果是修改别人的代码，建议用pull request让原来写代码的owner做review和merge.
nlp_word2vec component load word2vec from file.
用不同工具（如fasttext / gensim）训练word2vec保存的词向量结果格式不同， “nlp_word2vec”模块是否需要统一一个word2vec文件的存储方式？
while i run the end of readMe named yarn start, errors "错误: 找不到或无法加载主类 start"
Chinese Annotator version (e.g. 0.1):
Used backend / pipeline (jieba, sklearn, ...):
Operating system (windows, osx, ...):
Issue:
Proposed New Feature:
Content of configuration file (if used & relevant):
the end of readMe named yarn start , there are errors:
yarn start
错误: 找不到或无法加载主类 start
And view the log under web folder, tail log information is
20 error code ELIFECYCLE 21 error errno 1 22 error [email protected] serve: vue-cli-service serve 22 error Exit status 1 23 error Failed at the [email protected] serve script. 23 error This is probably not a problem with npm. There is likely additional logging output above. 24 verbose exit [ 1, true ] ~
view yarn , it appears:
Usage: yarn [--config confdir] [COMMAND | CLASSNAME]
CLASSNAME run the class named CLASSNAME
or
where COMMAND is one of:
resourcemanager -format-state-store deletes the RMStateStore
resourcemanager run the ResourceManager
nodemanager run a nodemanager on each slave
timelineserver run the timeline server
rmadmin admin tools
sharedcachemanager run the SharedCacheManager daemon
scmadmin SharedCacheManager admin tools
version print the version
jar <jar> run a jar file
application prints application(s)
report/kill application
applicationattempt prints applicationattempt(s)
report
container prints container(s) report
node prints node report(s)
queue prints queue information
logs dump container logs
classpath prints the class path needed to
get the Hadoop jar and the
required libraries
cluster prints cluster information
daemonlog get/set the log level for each
daemon
there is no start.
if i run npm run serve, i will got
`
vue-cli-service serve
INFO Starting development server...
10% building 2/2 modules 0 activeevents.js:174
throw er; // Unhandled 'error' event
^
Error: getaddrinfo ENOTFOUND x86_64-apple-darwin13.4.0
at GetAddrInfoReqWrap.onlookup [as oncomplete] (dns.js:56:26)
Emitted 'error' event at:
at GetAddrInfoReqWrap.doListen [as callback] (net.js:1457:12)
at GetAddrInfoReqWrap.onlookup [as oncomplete] (dns.js:56:17)
npm ERR! code ELIFECYCLE
npm ERR! errno 1
npm ERR! [email protected] serve: vue-cli-service serve
npm ERR! Exit status 1
npm ERR!
npm ERR! Failed at the [email protected] serve script.
npm ERR! This is probably not a problem with npm. There is likely additional logging output above.
`
what happend?
thx
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