All Versions
26
Latest Version
Avg Release Cycle
16 days
Latest Release
2669 days ago

Changelog History
Page 3

  • v0.2.2 Changes

    🆕 New Contributors

    • zackmdavis (contributed all features for this version, thank you!)

    💥 Breaking Changes

    • None

    🔋 Features

    • 🖨 Can now debug print matrices and vectors.
    • 🖨 Can now pretty print matrices to given precision.

    Minor Changes

    • 🛠 Fixed the dependency versions used in Cargo.toml.
    • 📚 Updated the library documentation with complete list of ML tools.

  • v0.2.1 Changes

    💥 Breaking Changes

    • None

    🔋 Features

    • ➕ Addition of Gaussian Mixture Models.
    • 👍 Allow basic arithmetic to combine kernels.

    Minor Changes

    • ➕ Added some missing documentation.
    • Some code formatting.
    • Minor improvements thanks to clippy.

  • v0.2.0 Changes

    💥 Breaking Changes

    • Neural network instantiation new method now requires a training algorithm to be specified.

    🔋 Features

    • ➕ Adding more kernels (for full list see API documentation).
    • Generalized Linear Model.
    • ⚡️ Updated model structures to allow more freedom in training algorithms.

    Minor Changes

    • 📚 Some more documentation.
    • Some minor code formatting.

  • v0.1.8 Changes

    💥 Breaking Changes

    • None

    🔋 Features

    • ➕ Add Support Vector Machines.

    Minor Changes

    • Minor code cleanup.
    • Some micro optimization.

  • v0.1.7 Changes

    💥 Breaking Changes

    • None

    🔋 Features

    • ➕ Added the stats module behind the optional feature flag stats.
    • 👍 stats currently includes support for the Exponential and Gaussian distributions.

    Minor Changes

    • Some rustfmt code cleanup.

  • v0.1.6 Changes

    💥 Breaking Changes

    • ✂ Removed the new constructor for the LinRegressor. This has been replaced by the default function from the Default trait.

    🔋 Features

    • ➕ Added a select method for cloning a block from a matrix.
    • Implemented QR decomposition, and eigenvalue decomposition.
    • Implemented eigendecomp (though only works definitely for real-symmetric matrices).

    Minor Changes

    • Optimizations to matrix multiplication