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time-causal-vae 0.1.2 package intelligence

Time-causal financial generative models: refactored TC-VAE baselines with causal VQ/RVQ tokenizers, token priors, S&P500/VIX, Hawkes/SVMHJD, multi-dimensional benchmarks, and path-risk diagnostics.

pip install time-causal-vae

Current version
0.1.2
Python requirement
<3.13,>=3.11
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
607.3 KiB
Release history
3 releases with files
Median release cadence
1 days

time-causal-vae dependencies

PyPI declares 16 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch <3.0,>=2.5
  2. numpy <3.0,>=1.26
  3. scipy <2.0,>=1.12
  4. pandas <3.0,>=2.2
  5. matplotlib <4.0,>=3.8
  6. pyyaml <7.0,>=6.0
  7. ml-collections <1.0,>=0.1.1
  8. tqdm <5.0.0,>=4.65.0
  9. absl-py ==2.1.0
  10. joblib ==1.4.2
  11. neuralhedge ==0.1.0
  12. pot ==0.9.4

The compact report shows 12 of 16 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

time-causal-vae publishes 1 wheel and 1 source archive for version 0.1.2. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12.

Security snapshot for time-causal-vae 0.1.2

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Metadata completeness

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

Release activity and sources

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 .