Beta Distributed Assigner

Assigns a value based on the class column. This value is beta distributed as defined in the configuration by its peak and scaling parameter p. As the peak, please select the value that should be selected most frequently. The scaling parameter can be used to modify the distribution: a value between 0 and 1 will result in a broader range; a value above 1 results in a more compact distribution of the values.
This number generator can be used to generate different distributions based on the values of a categorical dependency column. To use this option please select a dependency column. You will then be able to assign one parameter settings for each value of the given class column.

Options

Dependency Column

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

Column Name

The name for the generated column.

Seed

Use the seed to get the same result in each run of the node.

Bounds

These bounds are used for the whole column. Beta distribution returns a compact interval of values, hence both bounds are used.

Values

The peak and the scaling parameter can be defined for each value of the given class column.

Views

This node has no views

Workflows

• 03_Data_generation_model_exampleKNIME Hub
• 5. Data GenerationKNIME Hub
• Challenge 23 - Generating Synthetic Population AttributesKNIME Hub
• JKI-S3-C23-FinnovationFlowsKNIME Hub
• JKI3_023_Generating_Synthetic_Population_AttributeseKNIME Hub
• Show all 9 workflows

Links

• No links available

Developers