Wheelodex » Projects » time-series-binder

time-series-binder

View on PyPI — Reverse Dependencies (0)

1.0.4 time_series_binder-1.0.4-py3-none-any.whl

Wheel Details

Project: time-series-binder
Version: 1.0.4
Filename: time_series_binder-1.0.4-py3-none-any.whl
Download: [link]
Size: 9211
MD5: e87b97f8c02d92ad6c2fa575543b7351
SHA256: 5ab8f65c7dc462f9a9522fedb43eaa6d388ae3b6d1a945524a82e09e8e6a425b
Uploaded: 2023-05-30 03:45:26 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: time-series-binder
Version: 1.0.4
Summary: Time Series Binder is a Python library for time series analysis and forecasting. It offers a comprehensive set of tools and models, including Pandas integration, statistical methods, neural networks with Keras, and the NeuralProphet library. With Time Series Binder, you can easily manipulate, visualize, and predict time series data, making it an essential toolkit for researchers and analysts.
Author: Jhun Brian Andam
Author-Email: brianandam123[at]gmail.com
Home-Page: https://github.com/JhunBrian/time_series_binder
License: MIT
Keywords: Time Series Analysis,Forecasting
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Education
Classifier: Operating System :: Microsoft :: Windows :: Windows 10
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: statsmodels
Requires-Dist: keras
Requires-Dist: neuralprophet
Requires-Dist: scikit-learn
Requires-Dist: tqdm
Requires-Dist: tabulate
Description-Content-Type: text/markdown
[Description omitted; length: 1069 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.40.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
ts_binder/__init__.py sha256=ZM5GCO3YOvwadBZi8RUutKMP5z3gWeFJFaj9KnWcx0c 46
ts_binder/data_processing.py sha256=XxM9kQmFl3GVZ1kerNNnasVNZWLTo40znVfRmeunZc4 5904
ts_binder/model_utils.py sha256=fS5hqKoaJfwH9atRTfc_LQE7GtPqx1WUnSD7WkfQmu4 11671
ts_binder/visualize.py sha256=mekv9fy6GbiDVvKKMMcHU6k9VucJIzPJngAVJktP0QQ 2352
time_series_binder-1.0.4.dist-info/LICENSE.txt sha256=GfkqV84Xf5wC3wHhDPL6VqkRkcsL4ZqrdwCUIaRIOx4 1079
time_series_binder-1.0.4.dist-info/METADATA sha256=FppIZnEmoO4qSML-q3L3tmXwd3jRkw_wC-Gq8XHblgE 2295
time_series_binder-1.0.4.dist-info/WHEEL sha256=pkctZYzUS4AYVn6dJ-7367OJZivF2e8RA9b_ZBjif18 92
time_series_binder-1.0.4.dist-info/top_level.txt sha256=-SmH_4koZ6QRzuMHRvwszeviTJiZD3O7yKSFZG0nSXQ 10
time_series_binder-1.0.4.dist-info/RECORD — —

top_level.txt

ts_binder