Factual package intelligence from PyPI

TS-PCA 0.0.12 package intelligence

A package for unsupervised representation and principal component analysis of irregularly sampled time series with variable size relying on the shape analysis literature.

pip install ts-pca

Current version
0.0.12
Python requirement
Not declared
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
57.2 KiB
Release history
12 releases with files
Median release cadence
0 days

TS-PCA dependencies

PyPI declares 7 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. jax >=0.4.30
  2. optax >=0.2.3
  3. matplotlib >=3.9.1
  4. numpy >=2.0.2
  5. scipy >=1.13.1
  6. pandas >=2.2.2
  7. scikit-learn >=1.5.1

Compatibility and release files

TS-PCA publishes 1 wheel and 1 source archive for version 0.0.12. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: Python requirement, license. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 12 releases with files. The first dated release is ; 12 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .