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1.  final def !=(arg0: Any): Boolean

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2.  final def ##(): Int

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3.  final def ==(arg0: Any): Boolean

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4.  val FEATURE_REF_DELIM_IN_COLNAME: String

   Delimiter between parts of a Feature Ref as used in a DataFrame column name.

5.  val FEATURE_REF_KEYTAG_DELIM_IN_COLNAME: String
6.  val KEYTAG_DELIM_IN_COLNAME: String

   Delimiter between key tags as used in a DataFrame column name.

7.  val UidColumnName: String
8.  final def asInstanceOf[T0]: T0

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9.  def clone(): AnyRef

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   @throws( ... ) @native()

10.  final def eq(arg0: AnyRef): Boolean

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11.  def equals(arg0: Any): Boolean

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12.  def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )

13.  def generateHeader(featureToColumnNameMap: Map[TaggedFeatureName, String], allAnchoredFeatures: Map[String, FeatureAnchorWithSource], allDerivedFeatures: Map[String, DerivedFeature], inferredFeatureTypeConfigs: Map[String, FeatureTypeConfig]): Header

    generate header info (e.g, feature type, feature column name map) for output dataframe of feature join or feature generation

    generate header info (e.g, feature type, feature column name map) for output dataframe of feature join or feature generation

    featureToColumnNameMap

    map of feature to its column name in the dataframe

    inferredFeatureTypeConfigs

    feature name to inferred feature types

    returns

    header info for a dataframe that contains the features in featureToColumnNameMap

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    @VisibleForTesting()

14.  final def getClass(): Class[_]

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    @native()

15.  def getFeatureOutputColumnName(featureRefStr: String, tags: Seq[String]): String

    get column name in the output dataframe of feathr join output This function should be only used when a feature is requested with multiple key tags in a feathr join, i.e.

    get column name in the output dataframe of feathr join output This function should be only used when a feature is requested with multiple key tags in a feathr join, i.e. caller should be aware that this function will always preppend the key tags passed in, the current output feature column should skip the key tag if a feature is only requested using one set of key tags, so they should not use this function to create feature column name in this case, or should pass in empty key tags

    featureRefStr

    feature ref

    tags

    string tags of the feature

16.  def getFeatureRefStrInColName(featureRefStr: String): String

    Gets the column name representation(without encoding) of the specified FeatureRef string

    Gets the column name representation(without encoding) of the specified FeatureRef string

    featureRefStr

    FeatureRef string

    returns

    Representation of FeatureRef string as used in DataFrame column name.

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    @Experimental()

17.  def hashCode(): Int

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18.  final def isInstanceOf[T0]: Boolean

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19.  final def ne(arg0: AnyRef): Boolean

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20.  final def notify(): Unit

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    @native()

21.  final def notifyAll(): Unit

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    @native()

22.  final def synchronized[T0](arg0: ⇒ T0): T0

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23.  def toString(): String

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24.  final def wait(): Unit

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25.  final def wait(arg0: Long, arg1: Int): Unit

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26.  final def wait(arg0: Long): Unit

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