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0.2.12 ts_rnn-0.2.12-py3-none-any.whl

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Project: ts-rnn
Version: 0.2.12
Filename: ts_rnn-0.2.12-py3-none-any.whl
Download: [link]
Size: 13571
MD5: 9f3abe18269eb879dfebe46311abfd7d
SHA256: a5dd8c90600e4aa27ed9932d78e570aeaae4361cec8ac1448e8e46ad16ed6723
Uploaded: 2022-11-21 19:02:40 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: ts-rnn
Version: 0.2.12
Summary: Package to forecast time series with recurrent neural network
Author: Lev Perla
Author-Email: levperla[at]mail.ru
Home-Page: http://https://github.com/LevPerla/Time_Series_Prediction_RNN
License: MIT
Keywords: rnn time-series keras data-science data-analysis python
Requires-Python: >= 3.7.3
Requires-Dist: pandas (>=1.1.5)
Requires-Dist: numpy (>=1.21.0)
Requires-Dist: tqdm (>=4.46.1)
Requires-Dist: tensorflow (>=2.1.0)
Requires-Dist: matplotlib (>=3.1.3)
Requires-Dist: keras-tuner (>=1.0.4)
Description-Content-Type: text/markdown
[Description omitted; length: 5839 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.36.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
ts_rnn/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ts_rnn/config.py sha256=V51JEGYTsoKKY3_PkJiNyE_gPIEoUL0aRSQFFWNQdKw 1149
ts_rnn/feature_selection.py sha256=-DeA_oyC-JprAlpBmUG2IRdaBcMrkHjwO3shT7qCRmI 2906
ts_rnn/logger.py sha256=UfhqHes_Yk4sQmhSXtkZCACR3Wtcv4shKbX7lKOTSEM 712
ts_rnn/model.py sha256=r0jbJlWatw2OyPdsf9ejVhnkHhHGnJ5aE7FerW-iiPA 28826
ts_rnn/utils.py sha256=OuT9shHhydweLOLeUhuN8qUdjPBc0G4BrJSyEynYyTQ 8767
ts_rnn-0.2.12.dist-info/METADATA sha256=0COVWZOd2KF3X-6oVOAa_WaYUod6L3WN6J_398ozqOw 6451
ts_rnn-0.2.12.dist-info/WHEEL sha256=OqRkF0eY5GHssMorFjlbTIq072vpHpF60fIQA6lS9xA 92
ts_rnn-0.2.12.dist-info/top_level.txt sha256=sp7PRm1y_tls09jvzoy7FtdwDpNUNyPuO84ZOY92wdg 7
ts_rnn-0.2.12.dist-info/RECORD — —

top_level.txt

ts_rnn