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etl-ml

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1.0.7 etl_ml-1.0.7-py2.py3-none-any.whl

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Project: etl-ml
Version: 1.0.7
Filename: etl_ml-1.0.7-py2.py3-none-any.whl
Download: [link]
Size: 48265
MD5: 6091088a8c5e8893b44a472366097243
SHA256: e151b187428d4b835a13455cbfddae3a3ee167e73dba6d1c708ba63e4585da16
Uploaded: 2018-06-27 01:30:07 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.0
Name: etl-ml
Version: 1.0.7
Summary: etl_ml is a tools could etl origin excel or csv dirty data and send data to ftp or server and insert data to hive database and load data from jump hive make feature project machine learning model train and jump the jump machine to connect hive get hive data to pandas dataframe
Author: mullerhai
Author-Email: hai710459649[at]foxmail.com
Maintainer: muller helen
Maintainer-Email: hai710459649[at]foxmail.com
Home-Page: https://github.com/mullerhai/etl_ml
License: Apache 2.0
Keywords: etl,dirtyData,ssh tunnel,ml,machine learning
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Platform: all
Requires-Dist: scipy (>=1.1.0)
Requires-Dist: numpy (>=1.14.3pandas>=0.20.3)
Requires-Dist: PyHive (>=0.5.1)
Requires-Dist: paramiko (>=2.4.1)
Requires-Dist: selectors (>=0.0.14)
Requires-Dist: sasl (>=0.2.1)
Requires-Dist: thrift (>=0.11.0)
Requires-Dist: thrift-sasl (>=0.3.0)
Requires-Dist: hdfs (>=2.1.0)
Requires-Dist: sklearn-pandas (>=1.6.0)
Requires-Dist: scikit-learn (>=0.19.1)
Requires-Dist: click (>=6.7)
[Description omitted; length: 6466 characters; fails to render]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.30.0)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

Path Digest Size
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etl_ml/try_etl_labels.py sha256=f6aCVp-lfJtocmY3gsnHtLaITrIArTIiSIUZYftnY7U 918
etl_ml/try_push_insert_data.py sha256=kcnSbWAbUXMsf90BlaSWuX4WfcsNuegWdIHGiNHdVs4 13690
etl_ml/conf/__init__.py sha256=CbDSKq_Z4bpszpEH96fj4dx8VlvtmKNBRwmDmQQTAzU 32
etl_ml/etl/__init__.py sha256=CbDSKq_Z4bpszpEH96fj4dx8VlvtmKNBRwmDmQQTAzU 32
etl_ml/etl/add_cli_code.py sha256=YQplZ8C5maApFrUUNxtPaYTu-YoueiUGpTFu_gEuN7g 631
etl_ml/etl/etl_dt.py sha256=OTwK3o50i7vfiFOI7CKEn4N7I7Ef_CP7QiBvAavMgmo 991
etl_ml/etl/etl_dt_origin.py sha256=qPF1vrjkOsRf4sROMC9WF2EaQvufg3HXgKfAHWGCkqM 6055
etl_ml/etl/etl_label.py sha256=PprFq-kKkSuSYX5beMk_6nZ96TjOyn-OdaPdUEUozp0 14200
etl_ml/etl/etl_master.py sha256=Q9ov2IZTpuFHPuVBffkwpcDt8FsYWBrGpSX_tIpWdaI 10875
etl_ml/etl/etl_th.py sha256=cOIM6IP4H36P5NkK-ABvO_H1dyS6dI0tTyJZreE6Xaw 412
etl_ml/etl/etl_ts.py sha256=QTtnGsgeJ70txFD6D9Q0dM7k2htpMjK33KHmEmORy_U 2438
etl_ml/etl/push_insert_hive.py sha256=h3Ybvb3FbcEzyLx1qw7ozgRgurlOc-RnjAnc4p7oSO8 7317
etl_ml/etl/send_ftp_server.py sha256=LOqFO1rIHAyRrx6_i-IREhjn31Ez3X5V_uybuiutDPc 1158
etl_ml/etl/yx_black_mobile_match.py sha256=rV9thLhm0gUOS2FD7Nb4BtI7CEWOO9l-tulKHAyzSf4 1897
etl_ml/feature/__init__.py sha256=CbDSKq_Z4bpszpEH96fj4dx8VlvtmKNBRwmDmQQTAzU 32
etl_ml/feature/dockerdeom.py sha256=7w2m32rMvTu9zC9sWACGQmidi4D4LO_93SLZkDFOg6Q 129
etl_ml/feature/ex_txt.py sha256=2ZVsxOglkWDz1yqKV0wDYdoz5MahDVHR77LTyq3Qtgs 2406
etl_ml/feature/obj4yaml.py sha256=4f4ktnFR4L3cqtsLLZdSpjtgMaw0XJpPzadCN_mJGqY 2412
etl_ml/ml/__init__.py sha256=CbDSKq_Z4bpszpEH96fj4dx8VlvtmKNBRwmDmQQTAzU 32
etl_ml/ml/dataStat.py sha256=Efaby83Kxyj7j8TwPZzqB5HdaPs2uL2JIrAll5t06mc 4473
etl_ml/ml/item_cf.py sha256=VjvsuzVYKTsdfhMQ1IgdSWl_SKmFXNmJoD9SdecqLco 1847
etl_ml/shell/__init__.py sha256=CbDSKq_Z4bpszpEH96fj4dx8VlvtmKNBRwmDmQQTAzU 32
etl_ml/shell/etl_gui.py sha256=BRIJxEIt8a86lg6522-PKAxQGFiS8klDimDJjz06_sk 6903
etl_ml/shell/etl_terminal.py sha256=eDOskF1uINhcoW_6S77T5Vw7BIWoRID2lggBC3YWsuI 5445
etl_ml/utils/__init__.py sha256=CbDSKq_Z4bpszpEH96fj4dx8VlvtmKNBRwmDmQQTAzU 32
etl_ml/utils/em_cli.py sha256=wZIzRtWpMcyEC3mM4XWwF6z4I5YLdt5u0Rxf9R5m9_c 8760
etl_ml/utils/ftps_client.py sha256=0YiFl1ULRIaA7yr0tmSPcJc3_BLm1fmwqfy6dnJcw6Q 3343
etl_ml/utils/ssh_Tunnel.py sha256=mHJ9U346MCInhcd7p8JaVHwDgPhBMPrKHdQ8PyW13QM 5749
etl_ml/utils/ssh_utils.py sha256=wYBYZUtNWUVxUSqTeTXRxowcQ6BnCIaWgB1crp1CYmA 7988
etl_ml/utils/try_email.py sha256=rMka3V4EBXrnibcReBPdYzA1pvRzZ1bGzkMGywZkmUg 702
etl_ml-1.0.7.dist-info/DESCRIPTION.rst sha256=Wcmj65kyRQL_YLGeOKfZtjuwcKkao9fn4Zy4lpwmcC4 6629
etl_ml-1.0.7.dist-info/METADATA sha256=-be6MPnOoob4wCxPA-ZmtZlTinukndE74bSTdTPXhIw 8174
etl_ml-1.0.7.dist-info/RECORD — —
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etl_ml-1.0.7.dist-info/metadata.json sha256=1_3aEIWLzyw8X34C-VfGzpX_wYYfv5gMiiMi61zNMS4 1618
etl_ml-1.0.7.dist-info/top_level.txt sha256=WlWbkdAoDqMQMv4E_b1oicTNYzHb65Fua7rWHZtqi3U 7

top_level.txt

etl_ml