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26 lines
1.1 KiB
Scala
26 lines
1.1 KiB
Scala
package com.twitter.follow_recommendations.common.transforms.weighted_sampling
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import com.twitter.timelines.configapi.FSBoundedParam
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import com.twitter.timelines.configapi.FSParam
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object SamplingTransformParams {
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case object TopKFixed // indicates how many of the fisrt K who-to-follow recommendations are reserved for the candidates with largest K CandidateUser.score where these candidates are sorted in decreasing order of score
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extends FSBoundedParam[Int](
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name = "post_nux_ml_flow_weighted_sampling_top_k_fixed",
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default = 0,
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min = 0,
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max = 100)
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case object MultiplicativeFactor // CandidateUser.score gets transformed to multiplicativeFactor*CandidateUser.score before sampling from the Plackett-Luce distribution
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extends FSBoundedParam[Double](
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name = "post_nux_ml_flow_weighted_sampling_multiplicative_factor",
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default = 1.0,
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min = -1000.0,
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max = 1000.0)
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case object ScribeRankingInfoInSamplingTransform
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extends FSParam[Boolean]("sampling_transform_scribe_ranking_info", false)
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}
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