0.10.0 (2020-10-04)

• various documentation improvements (thanks @pveber, @UnixJunkie, @Fourchaux)
• Fix use of access operators (#543)
• Upgrade to ocamlformat 0.15.0 (thanks @gpetiot #535)
• keep_dims option (#531)
• stats: fix infinite loop in ecdf
• Use Fun.protect to ensure all file descriptors are being closed
• owl_ndarray_maths: improve user experience in case of errors
• owl_io: close file descriptors also in case of errors
• owl_dense_ndarray_generic: fix error on printing 0-ary arrays
• fixed bug in sub forward mode (#533)
• Add stack to Algodiff (#528)
• added log_sum_exp to Ndarray and Algodiff (#527)
• added single-precision and double-precision Bessel functions to Ndarray (#526)
• Fixes #518 by introducing another / to resolve data directory (@jotterbach #519)
• Graph Slice node (resolves #483) (@mreppen #517)
• Graph subnetwork: Multiple outputs (@mreppen #515)
• Added kron and swap to Algodiff operations (#512)
• various other small fixes

0.9.0 (2020-03-03)

• owl: sync opam files versioning
• added stack function (#506)
• Owl now compatible with latest version of Ctypes (#508)
• Fix bug in _squeeze_broadcast (#503)
• using extended indexing operator since ocaml 4.10.0
• [breaking] Drop support for ocaml < 4.10.0

0.8.0 (2020-02-25)

• Fix bug in _squeeze_broadcast (#503)
• Added the Dawson function (Ndarray + Matrix + Algodiff op) (#502)
• Fix bug in reverse mode gradients of aiso operations and pow (#501)
• Added poisson_rvs to Owl_distribution (#499)
• Draw poisson RVs in Ndarray and Mat modules (#498)
• Broadcast bug for higher order derivatives (#495)
• add sem to dense ndarray and matrix (#497)
• Avoid input duplication with Graph.model and multi-input nn (#494)
• Added Graph.get_subnetwork for constructing subnetworks (#491)
• Make Graph.inputs give unique names to inputs (#493)
• modify nlp interfaces
• Re-add removed DiffSharp acknowledgment (#486)
• add pretty printer for hypothesis type
• update lambda neuron (#485)
• fix example due to #476
• Extend base linalg functions to complex numbers (#479)
• [breaking] use a separate module for algodiff instead of ndarray directly (#476)
• temp workaround and unittest (#478)
• [breaking] Interface files for base/dense and base/linalg (#472)
• Port code to dune2 (#474)
• [breaking] interface files to simplify .mli files in owl/dense (#471)
• Save and load Npy files (#470)
• Owl: relax bounds on base and stdio (#469)
• Merged tests for different AD operations into one big test + autoformat tests with ocamlformat (#468)

0.7.2 (2019-12-06)

• fourth order finite diff approx to grad
• changes to improve stability of sylv/discrete_lyap
• fix bug in concatenate function
• add mli for owl_base_linalg_generic
• Owl-base linalg routines: LU decomposition (#465)
• bug fixes
• Update owl.opam

0.7.1 (2019-11-27)

• Add unit basis
• Fix issue #337 and #457 (#458)
• owl-base: drop seemingly unnecessary dependency on integers (#456)

0.7.0 (2019-11-14)

• Add unsafe network save (owlbarn/owl#429)
• Sketch Count-Min and Heavy-Hitters
• Various bugfixes
• Owl_io.marshal_to_file: use to_channel
• Do not create .owl folder when loading owl library
• Re-design of exceptions and replace asserts with verify
• Add OWL_DISABLE_LAPACKE_LINKING_FLAG
• Reorganise Algodiff module
• Add parameter support to Zoo
• Two new features in algodiff: eye and linsolve (triangular option) + improved stability of qr and chol
• Implemented solve triangular
• Added linsolve and lq reverse-mode differentiation
• Fix build on archlinux (pkg-config cblas)
• Add median and sort along in ndarray
• Improve stability of lyapunov gradient tests

0.6.0 (2019-07-17)

• Add unsafe network save (#429)
• Sketch Count-Min and Heavy-Hitters
• Various ugfixes
• Owl_io.marshal_to_file: use to_channel
• Do not create .owl folder when loading owl library
• Re-design of exceptions and replace asserts with verify
• Add OWL_DISABLE_LAPACKE_LINKING_FLAG
• Reorganise Algodiff module
• Add parameter support to Zoo
• Two new features in algodiff: eye and linsolve (triangular option) + improved stability of qr and chol
• Implemented solve triangular
• Added linsolve and lq reverse-mode differentiation
• Fix build on archlinux (pkg-config cblas)
• Add median and sort along in ndarray
• Improve stability of lyapunov gradient tests

0.5.0 (2019-03-05)

• Improve building and installation.
• Fix bugs and improve performance.
• Add more functions to Algodiff.
• Split plot module out as sub library.
• Split Tfgraph module out as sub library.

0.4.2 (2018-11-10)

• Optimise computation graph module.
• Add some core math functions.
• Fix bugs and improve performance.

0.4.1 (2018-11-01)

• Improve the APIs of Dataframe module.
• Add more functions in Utils module.

0.4.0 (2018-08-08)

• Fix some bugs and improve performance.
• Introduce computation graph into the functor stack.
• Optimise repeat and tile function in the core.
• Adjust the OpenCL library according to computation graph.
• Improve the API of Dataframe module.
• Add more implementation of convolution operations.
• Add dilated convolution functions.
• Add transposed convolution functions.
• Add more neurons into the Neural module.
• Add more unit tests for core functions.
• Move from jbuilder to dune
• Assuage many warnings

0.3.8 (2018-05-22)

• Add initial support for dataframe functionality.
• Add IO module for Owl's specific file operations.
• Add more helper functions in Array module in Base.
• Add core functions such as one_hot, slide, and etc.
• Fix normalisation neuron in neural network module.
• Fix building, installation, and publishing on OPAM.
• Fix broadcasting issue in Algodiff module.
• Support negative axises in some ndarray functions.
• Add more statistical distribution functions.
• Add another higher level wrapper for CBLAS module.

0.3.7 (2018-04-25)

• Fix some bugs and improve performance.
• Fix some docker files for automatic image building.
• Move more pure OCaml implementation to base library.
• Add a new math module to support complex numbers.
• Improve the configuration and building system.
• Improve the automatic documentation building system.
• Change template code into C header files.
• Add initial support for OpenMP with evaluation.
• Tidy up packaging using TOPKG.

0.3.6 (2018-03-22)

• Fix some bugs and improve performance.
• Add more unit tests for Ndarray module.
• Add version control in Zoo gist system.
• Add tensor contract operations in Ndarray.
• Add more documentation of various functions.
• Add support of complex numbers of convolution and pooling functions.
• Enhance Owl's own Array submodule in Utils module.
• Fix pretty printer for rank 0 ndarrays.
• Add functions to iterate slices in an ndarray.
• Adjust the structure of OpenCL module.

0.3.5 (2018-03-12)

• Add functions for numerical integration.
• Add functions for interoperation.
• Add several root-finding algorithms.
• Introduce Owl's exception module.
• Add more functions in Linalg module.
• Add native convolution function in core.
• Remove Eigen dependency of dense data structure.
• Fix some bugs and improve performance.

0.3.4 (2018-02-26)

• Update README, ACKNOWLEDGEMENT, and etc.
• Initial implementation of OpenCL Context module.
• Fix some bugs and improve the performance.
• Add Adam learning rate algorithm in Optimise module.
• Add a number of statistical functions into Stats.
• Enhance View functor and add more functions.
• Include and documentation of NLP modules.
• Add dockerfile for various linux distributions.

0.3.3 (2018-02-12)

• Fix some bugs and improve the performance.
• Integrate with Owl's documentation system.
• Add native C implementation of pooling operations.
• Add more operators in Operator module.
• Add more functions in Linalg module.
• Optimise the Base library.
• Add more unit tests.

0.3.2 (2018-02-08)

• Fix some bugs and improve the performance.
• Functorise many unit tests and add more tests.
• Rewrite the documentation migrate to Sphinx system.
• Migrate many pure OCaml code into Base library.
• Implement the initial version of Base library.

0.3.1 (2018-01-25)

• Design View module as an experimental module for Ndarray.
• Include Mersenne Twister (SFMT) to generate random numbers.
• Implement random number generator of various distributions.
• Implement native functions for maths and stats module.
• Include FFTPACK to provide native support for FFT functions.
• Minimise dependency, remove dependencies on Gsl and etc.
• Implement slicing and indexing as native C functions.
• Use new extended indexing operators for slicing functions.
• Refine ndarray fold function and introduce scan function.
• Reorganise the module structure in the source tree.
• Fix some bugs and enhance the performance of core functions.
• Add another 200+ unit tests.

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.