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Speedup Bernoulli Multi-Armed Bandit Example #380

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merged 4 commits into from
Sep 22, 2024
Merged

Speedup Bernoulli Multi-Armed Bandit Example #380

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723762f
Speedup moke test MC runs and number of iterations
julianStreibel Sep 11, 2024
ec7fa53
Chang new iteration and mc run combo to smoke tests
julianStreibel Sep 11, 2024
6dbe8fd
Fix typo
julianStreibel Sep 11, 2024
b49841a
Remove printing of smoke test flag
julianStreibel Sep 11, 2024
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9 changes: 7 additions & 2 deletions examples/Multi_Armed_Bandit/bernoulli_multi_armed_bandit.py
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Original file line number Diff line number Diff line change
Expand Up @@ -25,6 +25,7 @@
)
from baybe.surrogates import BetaBernoulliMultiArmedBanditSurrogate
from baybe.targets import BinaryTarget
from baybe.utils.random import set_random_seed

### An Imaginary Use Case

Expand Down Expand Up @@ -61,6 +62,10 @@ def draw_arm(self, arm_index: int) -> bool:

### Setup

# Setting a random seed for reproducibility.

set_random_seed(42)
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# For our example, we use a system with a fixed collection of win rates, which we
# assume are unknown to us:

Expand All @@ -83,8 +88,8 @@ def draw_arm(self, arm_index: int) -> bool:
qThompsonSampling(), # Online optimization
PosteriorStandardDeviation(), # Active learning
]
N_MC_RUNS = 2 if SMOKE_TEST else 10
N_ITERATIONS = 2 if SMOKE_TEST else 200
N_MC_RUNS = 3 if SMOKE_TEST else 10
N_ITERATIONS = 50 if SMOKE_TEST else 200


### Building the Model
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