The Partition node generates a partition field, which splits
the data into separate subsets for the training, testing, and validation stages of model
building.
Name of the partition field generated by the node.
create_validation
flag
Specifies whether a validation partition should be created.
training_size
integer
Percentage of records (0–100) to be allocated to the training partition.
testing_size
integer
Percentage of records (0–100) to be allocated to the testing partition.
validation_size
integer
Percentage of records (0–100) to be allocated to the validation partition. Ignored if a
validation partition is not created.
training_label
string
Label for the training partition.
testing_label
string
Label for the testing partition.
validation_label
string
Label for the validation partition. Ignored if a validation partition is not created.
value_mode
SystemSystemAndLabelLabel
Specifies the values used to represent each partition in the data. For example, the training
sample can be represented by the system integer 1, the label
Training, or a combination of the two, 1_Training.
set_random_seed
Boolean
Specifies whether a user-specified random seed should be used.
random_seed
integer
A user-specified random seed value. For this value to be used,
set_random_seed must be set to True.
enable_sql_generation
Boolean
Specifies whether to use SQL pushback to assign records to partitions.
unique_field
Specifies the input field used to ensure that records are assigned to partitions in a random
but repeatable way. For this value to be used, enable_sql_generation must be set to
True.
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