ternlang-core 0.3.3

Compiler and VM for Ternlang — balanced ternary language with affirm/tend/reject trit semantics, @sparseskip codegen, and BET bytecode execution.
Documentation 
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// Module:  stdlib/classical/random_forest.tern
// Purpose: Random Forest Ensemble in Trit Space
// Author:  RFI-IRFOS
// Ref:     https://ternlang.com

// Aggregates multiple ternary decision trees. 
// If the forest is split, it returns 'tend' instead of forcing a majority vote.

fn bootstrap_sample(data: trit[]) -> trit {
    // Generates a random subset
    return affirm; // Success
}

fn forest_vote(predictions: trit[]) -> trit {
    // Count the votes from all trees
    let first: trit = predictions[0];
    
    // If there is significant disagreement, the forest is uncertain
    if first == tend {
        return tend;
    }
    
    // Simple mock
    return first;
}

fn aggregate(votes: trit[]) -> trit {
    let consensus: trit = forest_vote(votes);
    
    // The final aggregation
    match consensus {
        affirm => { return affirm; }
        tend   => { return tend;   } // Forest could not reach a decision
        reject => { return reject; }
    }
}