Metadata-Version: 2.1
Name: tsaugmentation
Version: 0.5.51
Summary: Robust time series tsaugmentation for forecasting algorithms
Home-page: UNKNOWN
Author: Luis Roque
Author-email: <roque0luis@gmail.com>
License: UNKNOWN
Keywords: python,time series,hierarchical,forecasting,tsaugmentation,machine learning
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy (~=1.23.5)
Requires-Dist: pandas (~=1.2.5)
Requires-Dist: scipy (~=1.8.0)
Requires-Dist: matplotlib (~=3.3.4)
Requires-Dist: dtw-python (~=1.1.10)
Requires-Dist: setuptools (~=58.0.4)
Requires-Dist: tensorflow (~=2.12.0)
Requires-Dist: scikit-learn (~=1.0.2)
Requires-Dist: dtaidistance (~=2.3.9)
Requires-Dist: joypy (==0.2.6)
Requires-Dist: scikit-optimize (==0.9.0)

A package that allows to augment your time series dataset to test the robustness of forecasting algorithms

