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tsforecast

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0.0.1 tsforecast-0.0.1-py3-none-any.whl

Wheel Details

Project: tsforecast
Version: 0.0.1
Filename: tsforecast-0.0.1-py3-none-any.whl
Download: [link]
Size: 23937
MD5: 42e33d9c21413267ae442a528ff1a067
SHA256: f6ae8fc0993383834e045d18e77959b16956b0be77069fe0d4632a62e7fce008
Uploaded: 2023-03-05 18:41:08 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: tsforecast
Version: 0.0.1
Summary: ML based forecasting
Author: Jaume Amores
Author-Email: jaume.dsdev[at]gmail.com
Home-Page: https://github.com/JaumeAmoresDS/tsforecast
License: Apache Software License 2.0
Keywords: nbdev jupyter notebook python
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.7
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: tensorflow
Requires-Dist: openpyxl
Requires-Dist: pyarrow
Requires-Dist: scikit-learn
Requires-Dist: matplotlib
Requires-Dist: seaborn; extra == "dev"
Requires-Dist: jupyterlab; extra == "dev"
Requires-Dist: ipython; extra == "dev"
Requires-Dist: ipdb; extra == "dev"
Requires-Dist: twine; extra == "dev"
Provides-Extra: dev
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 1120 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
tsforecast/__init__.py sha256=sXLh7g3KC4QCFxcZGBTpG2scR7hmmBsMjq6LqRptkRg 22
tsforecast/_modidx.py sha256=2XpCjrr0SbLWrHlygrSIO8oeq72mUJ2GqV1q4nZVEgU 19812
tsforecast/dataset.py sha256=PFdYDYIE4Q1ONgDfhPWGunUKubX9MrC33CJzSFH47pc 1923
tsforecast/defaults.py sha256=crnEnUwB8zaKVh_MILbFIEe-KoBaOoc2EJZghF5qwpc 2361
tsforecast/forecasting_pipeline.py sha256=wLDw4peU27kbq44vlsHG9gwu1FI-CD9VB_sJoWT5BVc 25281
tsforecast/hp_search.py sha256=WwQNfedE43L0flDvg43zflmaPEqAO_kzm_mH1dhx_ss 7655
tsforecast/model.py sha256=NzsDtbhImtDZ4o4_H9n0xLtaX8Sk6u5kAIzBPRZXBA4 14310
tsforecast/time_transform.py sha256=1leLxbzJzBEBCBrd0yC6tc7iXoe-zTqEgaj24RGaLbM 2628
tsforecast/window_generator.py sha256=Gw35ykZCayOfTW0pVsr2tzrb4_WAmK6KmTuJd5eTfow 15006
tsforecast-0.0.1.dist-info/LICENSE sha256=Ak8naaEpwB36dVaxAI5efORWgPArp_QPgCAnCL2mbnQ 1070
tsforecast-0.0.1.dist-info/METADATA sha256=tuAH2b-8Y80_EjXK1r0cu73fAT1zVQhdhVM4RwRNOYw 2258
tsforecast-0.0.1.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
tsforecast-0.0.1.dist-info/entry_points.txt sha256=ouUfec6baphGYZUFSipSlQS-Q_rtUgL3GtoxcaFNphE 42
tsforecast-0.0.1.dist-info/top_level.txt sha256=PFGPAUDjmek3wfT3e9bgzND54myzWE7-EcJvb47po8M 11
tsforecast-0.0.1.dist-info/RECORD — —

top_level.txt

tsforecast

entry_points.txt

[nbdev]
tsforecast = tsforecast._modidx:d