Getting anomaly likelihood

#1

Modifying the hot gym anomaly code, is this the correct way to obtain anomaly likelihood?

result = model.run({
  "timestamp": timestamp,
  "kw_energy_consumption": consumption
})

likelihood = result.inferences['multiStepBucketLikelihoods'][1].values()[0]
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Problems with anomaly detection