The Ryskamp Learning Machine represents a quantum leap in the world of machine learning. It breaks from the traditions of the past and uses a completely new paradigm for the core machine learning algorithm. This algorithm focuses on logic over pure mathematical solutions and specific information processing (currently associated with traditional programming) combined with categorization and pattern recognition (currently associated with machine learning) into a single algorithm and engine. Additionally, the RLM saves every decision it ever makes, making debugging simple. Neural network “black box” problems are now a thing of the past.
See the version list below for details.
Install-Package useAIble.RyskampLearningMachine -Version 1.0.4
dotnet add package useAIble.RyskampLearningMachine --version 1.0.4
<PackageReference Include="useAIble.RyskampLearningMachine" Version="1.0.4" />
paket add useAIble.RyskampLearningMachine --version 1.0.4
Fixed an issue on the core wherein the benchmark stats were continually updating and stored big amounts of data in the background. Now, the benchmark tracking is set off by default and can be turned on programmatically for debugging purposes. Changed the Randomness used by RLM to a double value instead of integer to have a more accurate randomization chance especially when the randomness is set to a small range of values. Initial optimizations for the RLM Memory which we will still need to continue to work on and update on the next release
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