« Changelog History


mlpack v3.3.0 Release Notes

Release Date: 2020-04-07 // about 4 years ago

  • 🚀 Released April 7th, 2020.

    Templated return type of Forward function of loss functions (#2339).

    ➕ Added R2 Score regression metric (#2323).

    ➕ Added mean squared logarithmic error loss function for neural networks (#2210).

    ➕ Added mean bias loss function for neural networks (#2210).

    🗄 The DecisionStump class has been marked deprecated; use the DecisionTree class with NoRecursion=true or use ID3DecisionStump instead (#2099).

    ➕ Added probabilities_file parameter to get the probabilities matrix of AdaBoost classifier (#2050).

    🛠 Fix STB header search paths (#2104).

    ➕ Add DISABLE_DOWNLOADS CMake configuration option (#2104).

    ➕ Add padding layer in TransposedConvolutionLayer (#2082).

    🛠 Fix pkgconfig generation on non-Linux systems (#2101).

    🌲 Use log-space to represent HMM initial state and transition probabilities (#2081).

    ➕ Add functions to access parameters of Convolution and AtrousConvolution layers (#1985).

    ➕ Add Compute Error function in lars regression and changing Train function to return computed error (#2139).

    Add Julia bindings (#1949). Build settings can be controlled with the BUILD_JULIA_BINDINGS=(ON/OFF) and JULIA_EXECUTABLE=/path/to/julia CMake parameters.

    CMake fix for finding STB include directory (#2145).

    Add bindings for loading and saving images (#2019); mlpack_image_converter from the command-line, mlpack.image_converter() from Python.

    ➕ Add normalization support for CF binding (#2136).

    ➕ Add Mish activation function (#2158).

    ⚡️ Update init_rules in AMF to allow users to merge two initialization rules (#2151).

    ➕ Add GELU activation function (#2183).

    👍 Better error handling of eigendecompositions and Cholesky decompositions (#2088, #1840).

    ➕ Add LiSHT activation function (#2182).

    ➕ Add Valid and Same Padding for Transposed Convolution layer (#2163).

    ➕ Add CELU activation function (#2191)

    ➕ Add Log-Hyperbolic-Cosine Loss function (#2207)

    🔄 Change neural network types to avoid unnecessary use of rvalue references (#2259).

    ⬆️ Bump minimum Boost version to 1.58 (#2305).

    🔨 Refactor STB support so HAS_STB macro is not needed when compiling against mlpack (#2312).

    ➕ Add Hard Shrink Activation Function (#2186).

    ➕ Add Soft Shrink Activation Function (#2174).

    ➕ Add Hinge Embedding Loss Function (#2229).

    ➕ Add Cosine Embedding Loss Function (#2209).

    ➕ Add Margin Ranking Loss Function (#2264).

    🛠 Bugfix for incorrect parameter vector sizes in logistic regression and softmax regression (#2359).