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from loguru import logger | |
def task(): | |
logger.info("Processing!") | |
if __name__ == "__main__": | |
# remove default logger | |
logger.remove(0) |
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from prometheus_client import Histogram | |
h = Histogram('request_latency_seconds', 'Description of histogram') | |
h.observe(4.7) # Observe 4.7 (seconds in this case) |
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environment must have | |
ipykernel |
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import numpy as np | |
from matplotlib import pylab as plt | |
#from mpltools import style # uncomment for prettier plots | |
#style.use(['ggplot']) | |
# generate all bernoulli rewards ahead of time | |
def generate_bernoulli_bandit_data(num_samples,K): | |
CTRs_that_generated_data = np.tile(np.random.rand(K),(num_samples,1)) | |
true_rewards = np.random.rand(num_samples,K) < CTRs_that_generated_data | |
return true_rewards,CTRs_that_generated_data |