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/ensemble/stacking.tern
// Purpose: Stacking Ensemble
// Author:  RFI-IRFOS
// Ref:     https://ternlang.com

struct StackEnsemble {
    meta_model: trittensor<4 x 4>
}

fn level1_predict_trit(input: trittensor<4 x 1>) -> trittensor<4 x 1> {
    let out: trittensor<4 x 1> = { [affirm], [tend], [reject], [affirm] };
    return out;
}

fn meta_learner_trit(ensemble: StackEnsemble, level1_feats: trittensor<4 x 1>) -> trit {
    @sparseskip
    let out: trittensor<4 x 1> = ensemble.meta_model * level1_feats;
    let pred: trit = out[0, 0];
    match pred {
        affirm => { return affirm; }
        tend   => { return tend;   }
        reject => { return reject; }
    }
}

fn stack_forward_trit(ensemble: StackEnsemble, input: trittensor<4 x 1>) -> trit {
    let l1: trittensor<4 x 1> = level1_predict_trit(input);
    return meta_learner_trit(ensemble, l1);
}