Metadata-Version: 2.1
Name: tsaugmentation
Version: 0.5.64
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

