Conditional Label Assigner

Assigns the classes based on the probabilities to the rows.

Options

Dependency column

Choose a class column. Choose "None" to define one setting for the whole table.

Column name

The name for the generated column.

Use seed

When enabled, the random number generation will use a fixed seed value, making the randomization reproducible across multiple executions. When disabled, each execution will produce different random results.

Random seed

The seed value used for random number generation. Use the same seed to get identical random number results across multiple executions. You can enter a custom value or use the random seed generation button below.

Draw seed

Generate a random seed and set it in the Random seed input above for reproducible runs.

Domain value to normalize

Select the domain value whose label probabilities should be normalized.

Normalize probabilities

Normalize the label probabilities. If the selected dependency column has domain values , you can select the domain value for which the probabilities should be normalized.

Label probabilities

Define a probability for each label.

• Label: The category label for which the probability is defined.
• Probability: The probability for the category label. Must be non-negative.

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• 00_Scalable_Data_GenerationKNIME Hub
• 00_Scalable_Data_GenerationKNIME Hub
• 00_Scalable_Data_Generation_secondExampleKNIME Hub
• 03_Data_generation_model_exampleKNIME Hub
• 09_Generating_a_Shopping_Market_Data_SetKNIME Hub
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