Beispiel #1
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def test_calculate_incorrect():
    assert calculate_incorrect(guess=0, slip=0, learned=0.5) == 0.5
    assert calculate_incorrect(guess=1, slip=1, learned=0.5) == 0.5
    assert calculate_incorrect(guess=0, slip=1, learned=0.5) == 1
    assert calculate_incorrect(guess=1, slip=0, learned=0.5) == 0
    assert calculate_incorrect(guess=0.25, slip=0.05, learned=0.9) == 0.12
    assert calculate_incorrect(guess=0.25, slip=0.05, learned=0.5) == 0.4
    assert calculate_incorrect(guess=0.25, slip=0.05, learned=0.1) == 0.68
Beispiel #2
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    def likelihood(self, data, hypothesis):
        """
        Given new data and one of the guess hypotheses,
        update the probability of that hypothesis.
        """

        score, learned, slip = \
            data['score'], data['learned'], data['slip']
        return (score * calculate_correct(hypothesis, slip, learned) +
                (1 - score) * calculate_incorrect(hypothesis, slip, learned))
Beispiel #3
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def get_slip_pmf_likelihood(data, hypothesis):
    """
    Given new data and one of the slip hypotheses,
    update the probability of that hypothesis.
    """

    score, learned, guess = \
        data['score'], data['learned'], data['guess']
    return (score * calculate_correct(guess, hypothesis, learned) +
            (1 - score) * calculate_incorrect(guess, hypothesis, learned))
Beispiel #4
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    def likelihood(self, data, hypothesis):
        """
        Given new data and one of the slip hypotheses,
        update the probability of that hypothesis.
        """

        score, learned, guess = \
            data['score'], data['learned'], data['guess']
        return (score
                * calculate_correct(guess, hypothesis, learned)
                + (1 - score)
                * calculate_incorrect(guess, hypothesis, learned))
Beispiel #5
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def slip_normal(score, guess, slip, learned):
    if score == 1:
        return calculate_correct(guess, slip, learned)
    if score == 0:
        return calculate_incorrect(guess, slip, learned)
Beispiel #6
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def slip_likelihood(score, guess, slip, learned):
    if score == 1:
        return calculate_correct(guess, 1, learned)
    if score == 0:
        return calculate_incorrect(guess, 1, learned)
def slip_normal(score, guess, slip, learned):
    if score == 1:
        return calculate_correct(guess, slip, learned)
    if score == 0:
        return calculate_incorrect(guess, slip, learned)
def slip_likelihood(score, guess, slip, learned):
    if score == 1:
        return calculate_correct(guess, 1, learned)
    if score == 0:
        return calculate_incorrect(guess, 1, learned)