Random Item Inserter

Inserts the items based on the probability to the collection cells. Here we use the class names and the probabilities given in the dialog to insert them into the cell. Items with empty names or a probability less or equal to 0 are ignored.

Options

Collection

The items will be inserted into this collection column based on the defined probabilities.

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.

Fix list sizes

Keeps the size of the collection column the same if the number of assigned labels is smaller than the original collection size. This means that not all items in the collection will be replaced, but only a subset of them based on the defined probabilities. This can be useful to avoid having too many items in the collection if the probabilities for the label assignment are low.

Normalize probabilities

Normalize the probabilities for the label assignments

Item Probabilities

The probability for each item to be inserted into the collection.

• Probability: The probability for this item to be inserted. Items with a probability of 0 or less are ignored.
• Name of item: The name of the item to be inserted. Items with empty names are ignored.

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Workflows

• 08_Generating_data_sets_containing_association_rulesKNIME Hub
• 09_Generating_a_Shopping_Market_Data_SetKNIME Hub

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