o

com.spotify.featran.transformers

QuantileOutlierRejector

object QuantileOutlierRejector extends SettingsBuilder with Serializable

Reject values in the first and/or last quantiles defined by the number of buckets in the numBuckets parameter.

The bin ranges are chosen using the Algebird's QTree approximate data structure. The precision of the approximation can be controlled with the k parameter.

All values are transformed to zeros.

Values in the first and/or last quantiles are rejected as FeatureRejection.Outlier.

When using aggregated feature summary from a previous session, values outside of previously seen [min, max] will also report FeatureRejection.Outlier as rejection.

Source
QuantileOutlierRejector.scala
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Serializable, Serializable, SettingsBuilder, AnyRef, Any
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  4. def apply(name: String, rejectLower: Boolean = true, rejectUpper: Boolean = true, numBuckets: Int = 3, k: Int = QTreeAggregator.DefaultK): Transformer[Double, B, C]

    Create a new QuantileOutlierRejector instance.

    Create a new QuantileOutlierRejector instance.

    rejectLower

    whether to reject outliers in the first quantile

    rejectUpper

    whether to reject outliers in the last quantile

    numBuckets

    number of buckets (quantiles, or categories) into which data points are grouped, must be greater than or equal to 2

    k

    precision of the underlying Algebird QTree approximation

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  10. def fromSettings(setting: Settings): Transformer[Double, B, C]

    Create a new QuantileOutlierRejector from a settings object

    Create a new QuantileOutlierRejector from a settings object

    setting

    Settings object

    Definition Classes
    QuantileOutlierRejector → SettingsBuilder
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