FillMissingValues
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.
Contents
- ImputedPath
-
A JSON path to a variable in the data structure for the dataset that is imputed.
Type: String
Pattern:
([\u0020-\uD7FF\uE000-\uFFFD\uD800\uDC00-\uDBFF\uDFFF]|[^\S\r\n"'])*Required: Yes
- Inputs
-
The data inputs identified by their node names.
Type: Array of strings
Array Members: Fixed number of 1 item.
Pattern:
[A-Za-z0-9_-]*Required: Yes
- Name
-
The name of the transform node.
Type: String
Pattern:
([\u0020-\uD7FF\uE000-\uFFFD\uD800\uDC00-\uDBFF\uDFFF]|[^\r\n])*Required: Yes
- FilledPath
-
A JSON path to a variable in the data structure for the dataset that is filled.
Type: String
Pattern:
([\u0020-\uD7FF\uE000-\uFFFD\uD800\uDC00-\uDBFF\uDFFF]|[^\S\r\n"'])*Required: No
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following:
