Field. Specify value and field labels for data in watsonx.ai. For example, field metadata imported from a
data asset can be viewed or modified here. Similarly, you can create new labels for fields and their
values.
Measure. This is the measurement level, used to describe characteristics
of the data in a given field. If all the details of a field are known, it's called fully
instantiated.
Note: The measurement
level of a field is different from its storage type, which indicates whether the data is 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.
Value mode. Use this column to specify options for reading data values
from the dataset, or use the Specify option to specify measurement levels and
values.
Values. With this column, you can 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. You can't amend the cell
in this column if the corresponding Field entry contains a list.
Check. With this column, you can set options to ensure that field values
conform to the specified values or ranges. You can't
amend the cell in this column if the corresponding Field entry contains a
list.
Click the Edit (gear) icon next to each row to open additional
options.
Tip: Icons in the Type node properties quickly indicate the data type of each field,
such as string, date, double integer, or hashtag.Figure 1. New Type node icons
