Type node
Field properties can be specified in a source node or in a separate Type node. The functionality is similar in both nodes.
The following properties are available:
- Field. Specify value and field labels for data in Watson Studio. For example, field metadata imported from SPSS Statistics can be viewed or modified here. Similarly, you can create new labels for fields and their values. The labels you specify here are displayed throughout Watson Studio depending on the selections you make in the stream properties.
- Measure. This is the measurement level, used to
describe characteristics of the data in a given field. If all of the details of a field are known,
it is called fully instantiated.
Note: The measurement level of a field is different from its storage type, which indicates whether the data are stored as strings, integers, real numbers, dates, times, timestamps, or lists.
- Role. Used to tell modeling nodes whether fields will be Input (predictor fields) or Target (predicted fields) for a machine-learning process. Both and None are also available roles, along with Partition, which indicates a field used to partition records into separate samples for training, testing, and validation. The value Split specifies that separate models will be built for each possible value of the field.
- Values. This column enables you to specify options
for reading data values from the data set, or specify measurement levels and values separately. You
can also choose to pass fields without reading their values.
Note: You cannot amend the cell in this column if the corresponding Field entry contains a list.
- Check. In this column, you can set options to ensure
that field values conform to the specified values or ranges.
Note: You cannot amend the cell in this column if the corresponding Field entry contains a list.
- Configure Missing Values. Used to specify how missing
values for the field will be handled.
Note: You cannot amend the cell in this column if the corresponding Field entry contains a list.