Values_0.FillMissingValuesSourceSpecifies 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.
type nonrec t = {name : NodeName.t;The name of the transform node.
*)inputs : OneInput.t;The data inputs identified by their node names.
*)imputedPath : EnclosedInStringProperty.t;A JSON path to a variable in the data structure for the dataset that is imputed.
*)filledPath : EnclosedInStringProperty.t option;A JSON path to a variable in the data structure for the dataset that is filled.
*)}val make :
?filledPath:??? ->
name:NodeName.t ->
inputs:OneInput.t ->
imputedPath:EnclosedInStringProperty.t ->
unit ->
tval to_value :
t ->
[> `Structure of
(string
* [> `List of [> `String of NodeId.t ] list | `String of NodeName.t ])
list ]