feat: make synthetic runners use dataframes and rename inputs so stat… #10
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also resolves AutoResearch/autora#561 |
benwandrew
requested changes
Aug 29, 2023
src/autora/experiment_runner/synthetic/psychophysics/weber_fechner_law.py
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…hner_law.py Co-authored-by: benwandrew <benwallaceandrew@gmail.com>
musslick
requested changes
Aug 30, 2023
| @@ -117,8 +119,8 @@ def experiment_runner(X: np.ndarray, added_noise_=added_noise): | |||
| probability_a = x[1] | |||
| probability_b = x[3] | |||
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| expected_value_A = value_A * probability_a + rng.normal(0, added_noise_) | |||
| expected_value_B = value_B * probability_b + rng.normal(0, added_noise_) | |||
| expected_value_A = value_A * probability_a + rng.normal(0, observation_noise) | |||
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Would call this value_noise which is specific to the expected utility theory instead of observation_noise
| @@ -113,8 +118,8 @@ def experiment_runner(X: np.ndarray, added_noise_=added_noise): | |||
| x[3] ** coefficient + (1 - x[3]) ** coefficient | |||
| ) ** (1 / coefficient) | |||
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| expected_value_A = value_A * probability_a + rng.normal(0, added_noise_) | |||
| expected_value_B = value_B * probability_b + rng.normal(0, added_noise_) | |||
| expected_value_A = value_A * probability_a + rng.normal(0, observation_noise) | |||
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Same here, I would call observation_noise instead value_noise
| Y = np.zeros((X.shape[0], 1)) | ||
| for idx, x in enumerate(X): | ||
| similarity_A1 = x[0] | ||
| similarity_A2 = x[1] | ||
| similarity_B1 = x[2] | ||
| similarity_B2 = x[3] | ||
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| y = (similarity_A1 * focus + np.random.normal(0, added_noise_)) / ( | ||
| y = (similarity_A1 * focus + rng.normal(0, observation_noise)) / ( |
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I think here it is somewhat fine because we add it at the end and then normalize. You might still want to call it decision_noise because it is applied before the division.
…xperiment_runner to run
…ate' of https://github.com/AutoResearch/autora-synthetic into 9-chore-rename-input-arguments-of-runners-to-us-with-state
…me experiment_runner to run in new synthetic models/fixxed wrong input statements, added new models to test
benwandrew
reviewed
Sep 1, 2023
benwandrew
approved these changes
Sep 1, 2023
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…e logic works