VectorFeatureSchema is not yet implemented in AnalyticsPayload

[winev52]

Hello, I tried to add item embedding as vector feature according to the document, but it failed at the validation step when running the validate command. The error is:

scala.MatchError: VectorFeatureSchema(product_embedding,item.product_embedding,Some(List(VectorReducer(384))),ItemScopeType,None,None) (of class ai.metarank.feature.NumVectorFeature$VectorFeatureSchema)
	at ai.metarank.model.AnalyticsPayload$.$anonfun$apply$2(AnalyticsPayload.scala:126)
	at scala.collection.immutable.List.map(List.scala:250)
	at ai.metarank.model.AnalyticsPayload$.apply(AnalyticsPayload.scala:126)
	at ai.metarank.main.Main$.$anonfun$run$14(Main.scala:59)

It seems that in AnalyticsPayload, there is no feature map for vector feature schema:

usedFeatures = config.features.map {
        case f: RateFeatureSchema            => UsedFeature(f.name, "rate")
        case f: BooleanFeatureSchema         => UsedFeature(f.name, "boolean")
        case f: FieldMatchSchema             => UsedFeature(f.name, "field_match")
        case f: InteractedWithSchema         => UsedFeature(f.name, "interacted_with")
        case f: InteractionCountSchema       => UsedFeature(f.name, "interaction_count")
        case f: ItemAgeSchema                => UsedFeature(f.name, "item_age")
        case f: LocalDateTimeSchema          => UsedFeature(f.name, "local_time")
        case f: NumberFeatureSchema          => UsedFeature(f.name, "number")
        case f: RefererSchema                => UsedFeature(f.name, "referer")
        case f: RelevancySchema              => UsedFeature(f.name, "relevancy")
        case f: StringFeatureSchema          => UsedFeature(f.name, "string")
        case f: UserAgentSchema              => UsedFeature(f.name, "ua")
        case f: WindowInteractionCountSchema => UsedFeature(f.name, "window_count")
        case f: WordCountSchema              => UsedFeature(f.name, "word_count")
        case f: PositionFeatureSchema        => UsedFeature(f.name, "position")
        case f: RandomFeatureSchema          => UsedFeature(f.name, "random")
        case f: DiversitySchema              => UsedFeature(f.name, "diversity")
        case f: FieldMatchBiencoderSchema    => UsedFeature(f.name, "field_match.bi-encoder")
        case f: FieldMatchCrossEncoderSchema => UsedFeature(f.name, "field_match.cross-encoder")
      },

How do I resolve this error and use vector feature for metaranl model?