RuntimeError: memory access out of bounds

[amit-viacon]

trafficstars

ERROR [ExceptionsHandler] memory access out of bounds
RuntimeError: memory access out of bounds
    at null.<anonymous> (wasm://wasm/00020232:0:27521)
    at null.<anonymous> (wasm://wasm/00020232:0:31175)
    at null.<anonymous> (wasm://wasm/00020232:0:27022)
    at m (wasm://wasm/00020232:0:25267)
    .
    .
    .

My code

const data = [
      { value: 0, score: 0 },
      { value: 100, score: 10 },
      { value: 500, score: 20 },
      { value: 1000, score: 30 },
      { value: 5000, score: 40 },
      { value: 10000, score: 50 },
      { value: 20000, score: 60 },
      { value: 50000, score: 70 },
      { value: 70000, score: 80 },
      { value: 100000, score: 90 },
      { value: 150000, score: 100 },
      { value: 200000, score: 100 },
      { value: 300000, score: 100 },
      { value: 400000, score: 100 },
      { value: 500000, score: 100 },
    ];

    // * train model
    const rf = new RandomForestClassifier({
      nEstimators: 100,
      maxDepth: 10,
      maxFeatures: 'auto',
      minSamplesLeaf: 5,
      minInfoGain: 0,
    });

    rf.train(
      data.map((obj) => [obj.value]),
      data.map((obj) => [obj.score]),
    );
    const ypred = rf.predict([value]);

    return ypred;

Everything works fine if I change the score values to something like

const data = [
      { value: 0, score: 0 },
      { value: 100, score: 1 },
      { value: 500, score: 2 },
      { value: 1000, score: 3 },
      { value: 5000, score: 4 },
      { value: 10000, score: 5 },
      { value: 20000, score: 6 },
      { value: 50000, score: 7 },
      { value: 70000, score: 8 },
      { value: 100000, score: 9 },
      { value: 150000, score: 10 },
      { value: 200000, score: 10 },
      { value: 300000, score: 10 },
      { value: 400000, score: 10 },
      { value: 500000, score: 10 },
    ];

[maneetgoyal]

Perhaps, because you are using:

rf.train(
      data.map((obj) => [obj.value]),
      data.map((obj) => [obj.score]),
    );

instead of

rf.train(
      data.map((obj) => [obj.value]),
      data.map((obj) => obj.score),
    );

?