package owl

0.3.0 (2017-12-05)

• Migrate to jbuilder building system.

• Unify Dense Ndarray and Matrix types.

• Split Toplevel out as a separate library.

• Redesign Zoo system for recursive importing.

• Simplify the module signature for Ndarray.

• Introduce functions in Ndarray module to support in-place modification.

• Introduce reduction functions to reduce an ndarray to a scalar value.

• Add Lazy functor to support lazy evaluation, dataflow, and incremental computing.

• Implement a new and more powerful pretty printer to support both ndarray and matrix.

• Fix bugs in the core module, improve the performance.

0.2.8 (2017-09-02)

• New Linalg module is implemented.

• New neural network module supports both single and double precision.

• New Optimise and Regression module is built atop of Algodiff.

• Experimental Zoo system is introduced as a separate library.

• Enhance core functions and fix some bugs.

0.2.7 (2017-07-11)

• Enhance basic math operations for complex numbers.

• Redesign Plot module and add more plotting functions.

• Add more hypothesis test functions in Owl.Stats module.

• Support both numerical and algorithmic differentiation in Algodiff.

• Support both matrices and n-dimensional arrays in Algodiff module.

• Support interoperation of different number types in Ext and new operators.

• Support more flexible slicing, tile, repeat, and concatenate functions.

• Support n-dimensional array of any types in Dense.Ndarray.Any module.

• Support simple feedforward and convolutional neural networks.

• Support experimental distributed and parallel computing.

0.2.0 (2017-01-20)

• Support both dense and sparse matrices.

• Support both dense and sparse n-dimensional arrays.

• Support both real and complex numbers.

• Support both single and double precisions.

• Add more vectorised operation: sin, cos, ceil, and etc.

• Add basic unit test framework for Owl.

• Add a couple of Topic modelling algorithms.

0.1.0 (2016-11-09)

• Initial architecture of Owl library.

• Basic support for double precision real dense matrices.

• Basic linear functions for dense matrices.

• Basic support for plotting functions.

• SI, MKS, CGS, and CGSM metric system.