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Deep Learning Models for time series prediction..
pip install deepts-forecasting
PyPI declares 24 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=2.6.3,<3.0.0>=0.20.1,<0.21.0>=1.0.1,<2.0.0The compact report shows 12 of 24 declarations. The interactive dependency graph loads the complete metadata.
deepts-forecasting publishes 1 wheel and 1 source archive for version 0.1.2. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.6, 3.7, 3.8, 3.9.
PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .