Module Values_0.FillMissingValuesSource

Specifies a transform that locates records in the dataset that have missing values and adds a new field with a value determined by imputation. The input data set is used to train the machine learning model that determines what the missing value should be.

Sourcetype nonrec t = {
  1. name : NodeName.t;
    (*

    The name of the transform node.

    *)
  2. inputs : OneInput.t;
    (*

    The data inputs identified by their node names.

    *)
  3. imputedPath : EnclosedInStringProperty.t;
    (*

    A JSON path to a variable in the data structure for the dataset that is imputed.

    *)
  4. filledPath : EnclosedInStringProperty.t option;
    (*

    A JSON path to a variable in the data structure for the dataset that is filled.

    *)
}
Sourceval context_ : string
Sourceval make : ?filledPath:??? -> name:NodeName.t -> inputs:OneInput.t -> imputedPath:EnclosedInStringProperty.t -> unit -> t
Sourceval to_value : t -> [> `Structure of (string * [> `List of [> `String of NodeId.t ] list | `String of NodeName.t ]) list ]
Sourceval to_query : t -> Awso.Client.Query.t
Sourceval of_xml : Awso.Xml.t -> t
Sourceval of_string : string -> t
Sourceval of_json : Yojson.Safe.t -> t
Sourceval to_json : t -> Yojson.Safe.t