Lookback Drift Operator

• The enumeration encoder should be used for string values or low-cardinality numeric values. New values encountered in the current data are always mapped the same integer, which corresponds to the other category.
• The linear buckets encoder should be used for numerical values that have high cardinality. The linear buckets encoder maps each dimension value to a bucket index. All values less than the smallest bucket are mapped to the smallest bucket. All values larger than the largest bucket are mapped to the largest bucket.

• For enumeration, the distance used is always 1 / number of unique values.
• For bucketing, the distance used is the normalized distance between the buckets.

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Inputs

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Outputs

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Parameters

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Operator parameters

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Encoder parameters

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Linear bucket parameters

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Example

{
  "name": "driftScore",
  "type": "LookbackBaselineDrift",
  "params": {
    "lookback": "P28D",
    "monitoringGranularity": "P1D",
    "seasonalityPeriod": "P7D",
    "encoder": {
      "type": "LINEAR_BUCKETS",
      "linearBucket": {
        "bucketStart": "0",
        "bucketSize": "1",
        "bucketCount": "100"
      }
    }
  },
  "inputs": [
    {
      "targetProperty": "currentData",
      "sourcePlanNode": "currentDataFetcher",
      "sourceProperty": "currentData"
    }
  ],
  "outputs": [
    {
      "outputName": "driftScoreData"
    }
  ]
}