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cfl vulnerabilities

Causal Feature Learning (CFL) is an unsupervised algorithm designed to construct macro-variables from low-level data, while maintaining the causal relationships between these macro-variables.

  • latest version

    1.3.2

  • latest non vulnerable version

    1.3.2

  • first published

    4 years ago

  • latest version published

    5 months ago

  • licenses detected

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    Direct Vulnerabilities

    No direct vulnerabilities have been found for this package in Snyk’s vulnerability database. This does not include vulnerabilities belonging to this package’s dependencies.

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    Package versions

    12 VERSIONS IN TOTAL
    versionpublisheddirect vulnerabilities
    1.3.21 Apr, 2025
    • 0
      C
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      M
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    1.3.13 Dec, 2023
    • 0
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    1.3.03 Dec, 2023
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    1.2.130 Mar, 2022
    • 0
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    1.2.019 Mar, 2022
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    1.1.02 Dec, 2021
    • 0
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    1.0.322 Oct, 2021
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    1.0.219 Oct, 2021
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    1.0.117 Jun, 2021
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    1.0.017 Jun, 2021
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