Interface BatchInferenceJobConfig.Builder
- All Superinterfaces:
Buildable,CopyableBuilder<BatchInferenceJobConfig.Builder,,BatchInferenceJobConfig> SdkBuilder<BatchInferenceJobConfig.Builder,,BatchInferenceJobConfig> SdkPojo
- Enclosing class:
BatchInferenceJobConfig
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Method Summary
Modifier and TypeMethodDescriptionitemExplorationConfig(Map<String, String> itemExplorationConfig) A string to string map specifying the exploration configuration hyperparameters, includingexplorationWeightandexplorationItemAgeCutOff, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items.rankingInfluence(Map<RankingInfluenceType, Double> rankingInfluence) A map of ranking influence values for POPULARITY and FRESHNESS.rankingInfluenceWithStrings(Map<String, Double> rankingInfluence) A map of ranking influence values for POPULARITY and FRESHNESS.Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder
copyMethods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder
applyMutation, buildMethods inherited from interface software.amazon.awssdk.core.SdkPojo
equalsBySdkFields, sdkFieldNameToField, sdkFields
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Method Details
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itemExplorationConfig
A string to string map specifying the exploration configuration hyperparameters, including
explorationWeightandexplorationItemAgeCutOff, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. See User-Personalization.- Parameters:
itemExplorationConfig- A string to string map specifying the exploration configuration hyperparameters, includingexplorationWeightandexplorationItemAgeCutOff, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. See User-Personalization.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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rankingInfluenceWithStrings
A map of ranking influence values for POPULARITY and FRESHNESS. For each key, specify a numerical value between 0.0 and 1.0 that determines how much influence that ranking factor has on the final recommendations. A value closer to 1.0 gives more weight to the factor, while a value closer to 0.0 reduces its influence.
- Parameters:
rankingInfluence- A map of ranking influence values for POPULARITY and FRESHNESS. For each key, specify a numerical value between 0.0 and 1.0 that determines how much influence that ranking factor has on the final recommendations. A value closer to 1.0 gives more weight to the factor, while a value closer to 0.0 reduces its influence.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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rankingInfluence
A map of ranking influence values for POPULARITY and FRESHNESS. For each key, specify a numerical value between 0.0 and 1.0 that determines how much influence that ranking factor has on the final recommendations. A value closer to 1.0 gives more weight to the factor, while a value closer to 0.0 reduces its influence.
- Parameters:
rankingInfluence- A map of ranking influence values for POPULARITY and FRESHNESS. For each key, specify a numerical value between 0.0 and 1.0 that determines how much influence that ranking factor has on the final recommendations. A value closer to 1.0 gives more weight to the factor, while a value closer to 0.0 reduces its influence.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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