v1.0.0

What's Changed

• Mass updates to individual modules
• Progress on tinygpmp subproject
• First "stable" release

Full Changelog: https://github.com/akielaries/openGPMP/blob/main/changelog.md

v0.10.0

What's Changed

• Name change for source, Python, and Julia APIs
• Experimental Fortran subroutines added into Linear Algebra module
• CPU & GPU Hardware acceleration methods (still in test)
• class DataTable & class TypeCast introductions
• Updates to Calculus module
• OSX patches

See the changelog for details

New contributions from @eeddgg, @sidsbrmnn, @igorsteinmacher

v0.9.4

What's Changed

• Division between code for internal functionality vs. what is available to the user.
• CI/CD pipeline updates
  • clang-format for linting/formatting C++ source code, autopep8 for Python.
  • Python PyPI packaging edits.
  • Tag bump related commits will include a #MAJOR, #MINOR, or #PATCH prefix to the commit message.
  • Updates to certain directories run certain jobs.
• Continuous Machine Learning & Linear Algebra module updates.
  • Stubbed out implementations for activation, regularization, optimization & model trainer methods, statistical helpers, random sorts + utilities.
  • Matrix related methods are usable. More updates to come.
  • ML module is not currently usable aside from Linear Regression model on very select data sets.

v0.7.0

New Changes in v0.7.0

1. Updates to Primary and Secondary Multi-Layer Perceptron networks
2. Updates to Python API
3. Added support for Operating Systems, Kernels, Architectures, etc.
   • Added tested support beyond x86 processors
   • ARMV6, ARMV7, ARMV8, RISCV64, S390X, PPC64LE
   • Raspberry Pi 3 & 4 support
4. Fortran, OCaml, Go and Julia demoted to experimental APIs, focus remains on Python and now R bindings

Next :

---

1. Fix CMake bugs for OSX installation. Issues with Googletest hangup
2. Update Machine Learning Module with more techniques
3. Inject source code updates into APIs
4. Create formal check/test process for Raspberry Pi hardware

v0.6.0

New Changes in v0.6.0

1. Continued changes to Linear Algebra Module + samples
2. Continued updates to Python API, injecting new C++ source functionalities into the setup.py file used in packaging process for PyPI
   • Install with pip install openmtpk==0.6.1
3. Updates to the mtpk namespace. Wrapped more classes in the namespace, does not affect Python API
4. Changes/updates to datatypes to allow for maximum precision while also avoiding potential overflow as well as for conciseness

   Note Some int and char types will be updated later on to ensure nothing breaks

   • int----------->int64_t
   • long long-->int64_t
   • unsigned---->uint64_t
   • double------->long double
   • float--------->long double
5. Adding make uninstall option for the project's build process with CMake. See the install/uninstall directions here.

v0.5.3

What's Changed

1. Updates to Linear Algebra Module and samples
   • See this example to view operations on matrices
   • More updates to samples as development continues
2. PyPI updates
   • Adjusting SWIG process to accommodate for template based classes and methods
   • openmtpk 0.5.14 release here
3. Updated to CMake installation of source C++ code

Next :

---

1. Create first of many Neural Network Models and Machine Learning techniques for the ml module
   • Update the overarching ml.hpp header to make use of implemented models and techniques

   Note So far the Linear Regression technique works on select two-column data

2. Progress on CPP->R & OCaml language binding process

v0.5.2

What's Changed

Note Do not expect much until v1.0.0

Major Updates to Python PyPI packaging process.

• Builds wheels for OSX and Linux platforms (Windows will not be supported)
• See all supported platforms.
  • Manually tested on Kali(latest), Ubuntu(latest) & macOS Ventura 13.1 (latest). Works for most OSX and Linux distro versions.
• New versions must be specified in the setup.py file and will be published to https://pypi.org/project/openmtpk/ on pushes to MAIN.
• Install with pip install openmtpk
• Tools available:
  • Arithmetic based operations
  • Primes
  • RC4
  • Ciphers

C++ source is currently supported on Linux based platforms.

• Bugs with googletest on OSX.

v0.4.0

What's Changed

• Created Python pip package for Python API. Install with pip install openmtpk
  • Functionality is limited to Primes, RC4, Ciphers, and part of the Arithmetic module
  • Fixes to template classes/methods cpp->python conversion

v0.3.2

CMake installation make Googletest as a dependency.

• openMTPK tests must pass in order to build and install the static library
• TEST -> BUILD -> INSTALL

v0.3.1

Minor Release with updates to CMake installation process.

• Headers are now installed in nested fashion with a parent-level header representing each module. For example:
  • Files in a module directory such as the ml/ directory (linreg.hpp, logreg.hpp, mlp_network.hpp, etc.) will make up that modules header file(ml.hpp).
• Will include googletest workflow into CMake installation
  • Build library -> Test library -> Install library