Factual package intelligence from PyPI
This library performs transfer learning for time series classification between different data time series using a ConvLSTM2D auto-encoder architecture. Two transfer learning types are provided as options - fine-tuning a given number of layers, or re-using the pre-trained model we
pip install tl4sm
PyPI declares 0 unique dependency rules for this release. Environment markers are shown when supplied by the project.
This release declares no required runtime dependencies in its PyPI metadata.
tl4sm publishes 0 wheels and 1 source archive for version 0.22. Wheel platform tags: No wheel platform tags.
Declared Python classifiers: 3.4, 3.5, 3.6.
PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 13 releases with files. The first dated release is ; 13 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .