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Release 1.3 #12

Merged
merged 21 commits into from
Jan 10, 2024
Merged

Release 1.3 #12

merged 21 commits into from
Jan 10, 2024

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BerriJ
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@BerriJ BerriJ commented Jan 9, 2024

Improvements

  • New articles explain how to use methods on online() objects to deploy online learning algorithms in production.
  • The conline C++ class now exposes weights to R.
  • A new article on the usage of the conline C++ class was added.
  • Various functions are now exported to R to allow easier interaction with the conline C++ class. These functions are: init_experts_list(), make_basis_mats and make_hat_mats
  • The code of online() was simplified a bit by utilizing the new init_experts_list() function.
  • Function post_process_model() was improved and is now exposed to be used in conjunction with the conline C++ class.
  • Move aggregation of timings from cppclock.R to clock.h. This make it faster, easier to maintain and simplifies the code (which will be used in python in the future as well).

BerriJ and others added 21 commits August 28, 2023 09:33
* New articles explain how to use method on `online()` objects to deploy online learning algorithms in production.
* The `conline` c++ class now exoses `weights` to R.
* A new article on how to interact with the `conline` c++ class was added.
* Various functions are now exported to R to allow for easier interaction with the `conline` c++ class. These functions are: `init_experts_list()`, `make_basis_mats` and `make_hat_mats`
* The code of `online()` was simplified a bit by utilizing the new `init_experts_list()` function.
@BerriJ BerriJ merged commit 4a4c412 into main Jan 10, 2024
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