absl-py==0.12.0
appdirs==1.4.4
astor==0.8.1
astunparse==1.6.3
Babel==2.9.1
backcall @ file:///home/ktietz/src/ci/backcall_1611930011877/work
bce-python-sdk==0.8.60
beautifulsoup4 @ file:///home/linux1/recipes/ci/beautifulsoup4_1610988766420/work
cachetools==4.2.2
certifi==2020.12.5
cfgv==3.2.0
chardet==4.0.0
click==7.1.2
cycler==0.10.0
decorator @ file:///tmp/build/80754af9/decorator_1617916966915/work
distlib==0.3.1
et-xmlfile==1.1.0
filelock==3.0.12
flake8==3.9.1
Flask==1.1.2
Flask-Babel==2.0.0
flatbuffers==1.12
future==0.18.2
gast==0.3.3
google-auth==1.30.0
google-auth-oauthlib==0.4.4
google-pasta==0.2.0
graphviz==0.8.4
grpcio==1.32.0
h5py==2.10.0
identify==2.2.4
idna==2.10
ipython @ file:///tmp/build/80754af9/ipython_1617120885885/work
ipython-genutils @ file:///tmp/build/80754af9/ipython_genutils_1606773439826/work
itsdangerous==1.1.0
jedi==0.17.0
Jinja2==2.11.3
joblib==1.0.1
jsonpatch==1.32
jsonpointer==2.1
Keras-Preprocessing==1.1.2
kiwisolver @ file:///tmp/build/80754af9/kiwisolver_1612282420641/work
Markdown==3.3.4
MarkupSafe==1.1.1
matplotlib @ file:///tmp/build/80754af9/matplotlib-suite_1613407855456/work
mccabe==0.6.1
mkl-fft==1.3.0
mkl-random @ file:///tmp/build/80754af9/mkl_random_1618853849286/work
mkl-service==2.3.0
mxnet==1.8.0.post0
nodeenv==1.6.0
numpy @ file:///tmp/build/80754af9/numpy_and_numpy_base_1618497241363/work
oauthlib==3.1.0
olefile==0.46
openpyxl==3.0.7
opt-einsum==3.3.0
paddlepaddle-gpu==2.0.2.post110
pandas==1.2.4
parso @ file:///tmp/build/80754af9/parso_1617223946239/work
pdfminer==20191125
pdfminer.six==20200517
pdfplumber==0.5.27
pexpect @ file:///tmp/build/80754af9/pexpect_1605563209008/work
pickleshare @ file:///tmp/build/80754af9/pickleshare_1606932040724/work
Pillow @ file:///tmp/build/80754af9/pillow_1617383569452/work
ply==3.11
pre-commit==2.12.1
prompt-toolkit @ file:///tmp/build/80754af9/prompt-toolkit_1616415428029/work
protobuf==3.15.8
ptyprocess @ file:///tmp/build/80754af9/ptyprocess_1609355006118/work/dist/ptyprocess-0.7.0-py2.py3-none-any.whl
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycodestyle==2.7.0
pycryptodome==3.10.1
pyflakes==2.3.1
Pygments @ file:///tmp/build/80754af9/pygments_1615143339740/work
pyparsing @ file:///home/linux1/recipes/ci/pyparsing_1610983426697/work
PySnooper==0.4.3
python-dateutil @ file:///home/ktietz/src/ci/python-dateutil_1611928101742/work
pytz @ file:///tmp/build/80754af9/pytz_1612215392582/work
PyYAML==5.4.1
pyzmq==22.0.3
requests==2.25.1
requests-oauthlib==1.3.0
rsa==4.7.2
scikit-learn==0.24.2
scipy==1.6.3
shellcheck-py==0.7.2.1
sip==4.19.13
six @ file:///tmp/build/80754af9/six_1605205327372/work
sklearn==0.0
sortedcontainers==2.3.0
soupsieve @ file:///tmp/build/80754af9/soupsieve_1616183228191/work
tensorboard==2.5.0
tensorboard-data-server==0.6.0
tensorboard-plugin-wit==1.8.0
tensorboardX==2.2
tensorflow-estimator==2.4.0
tensorflow-gpu==2.4.1
termcolor==1.1.0
threadpoolctl==2.1.0
toml==0.10.2
torch==1.8.1+cu111
torchaudio==0.8.1
torchfile==0.1.0
torchsummary==1.5.1
torchvision==0.9.1+cu111
tornado @ file:///tmp/build/80754af9/tornado_1606942300299/work
traitlets @ file:///home/ktietz/src/ci/traitlets_1611929699868/work
typing-extensions==3.7.4.3
urllib3==1.26.4
virtualenv==20.4.4
visdom==0.1.8.9
visualdl==2.1.1
Wand==0.6.6
wcwidth @ file:///tmp/build/80754af9/wcwidth_1593447189090/work
websocket-client==0.58.0
Werkzeug==1.0.1
wrapt==1.12.1
xlrd @ file:///tmp/build/80754af9/xlrd_1608072521494/work
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处理非结构化数据,采用神经网络来预测市场趋势.zip (241个子文件)
checkpointfile2021-07-18.csv 519KB
checkpointfile2021-07-11.csv 516KB
checkpointfile2021-07-16.csv 516KB
.editorconfig 404B
ExcelWriter 5KB
configbase.ini 16KB
interpreterAccounting.json 121KB
interpreterBase.json 118KB
interpreterAnalysize.json 24KB
interpreterCrawl.json 18KB
interpreterNature.json 5KB
checkbook.json 2KB
mainprogram.nature 12KB
interpreterAccounting.py 65KB
docParserSql.py 60KB
stockAnalysize.py 49KB
baseClass.py 43KB
interpreterNature.py 31KB
docParserPdf.py 28KB
crawlFinance.py 28KB
modelBaseClassH.py 20KB
rnnModelM.py 17KB
modelBaseClassT.py 17KB
crawlStock.py 16KB
excelVisualization.py 15KB
interpreterBaseClass.py 15KB
getBaseClassH.py 15KB
interpreterAccountingUnittest.py 14KB
interpreterAnalysize.py 12KB
modelBaseClassM.py 12KB
getStock.py 10KB
rnndetectionModelH.py 9KB
getLyric.py 8KB
rnnBaseModelH.py 7KB
modelBaseClass.py 7KB
rnnModelH.py 6KB
getFinance.py 6KB
lenetModelH.py 6KB
interpreterCrawl.py 6KB
utile.py 5KB
lenetModelT.py 5KB
rnnregressionModelH.py 5KB
crawlBaseClass.py 5KB
docParserBaseClass.py 5KB
interpreterAssemble.py 5KB
lenetModelM.py 4KB
getBaseClass.py 4KB
interpreterBaseClass.py 4KB
loggerClass.py 3KB
getConfig.py 3KB
interpreterBaseClass.py 3KB
interpreterBaseClass.py 3KB
docParserExcel.py 2KB
getBaseClassM.py 2KB
commFunction.py 2KB
getMnist.py 2KB
execute.py 1KB
executeUnittest.py 1013B
streamlitApp.py 822B
interpreterNatureUnittest.py 814B
interpreterAnalysizeUnittest.py 708B
constant.py 252B
__init__.py 49B
__init__.py 0B
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createFoundation.sql 30KB
createFoundation.sql 20KB
createFoundation.sql 20KB
createPriceAnalysize.sql 17KB
createPriceAnalysize.sql 17KB
createPriceAnalysize.sql 17KB
createComprehensive.sql 17KB
createComprehensive.sql 14KB
createComprehensive.sql 14KB
createValueAnalysize.sql 2KB
createValueAnalysize.sql 1KB
createValueAnalysize.sql 1KB
requirements.txt 3KB
顺丰控股:2019年年度报告.xlsx 38KB
顺丰控股:2017年年度报告.xlsx 36KB
顺丰控股:2018年年度报告.xlsx 34KB
顺丰控股:2016年年度报告.xlsx 33KB
复星医药:2015年年度报告.xlsx 31KB
尚荣医疗:2018年年度报告.xlsx 29KB
明泰铝业:2015年年度报告.xlsx 29KB
尚荣医疗:2017年年度报告.xlsx 29KB
尚荣医疗:2019年年度报告.xlsx 28KB
良信电器:2016年年度报告.xlsx 25KB
麦克韦尔:2018年年度报告.xlsx 24KB
万科A:2018年年度报告.xlsx 24KB
万科A:2019年年度报告.xlsx 23KB
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