# Frequent pattern growth

> Supported in: Batch

Frequent pattern (fp) growth finds frequent patterns in your dataset.

**Transform categories**: Aggregate, Other

## Declared arguments

* **Input dataset:** Source dataset containing items columns and transaction column.<br>*Table*
* **Items column:** Array column containing the items for the patterns.<br>*Column\<Array\<String>>*
* **Minimum support:** Minimum fraction of how often a pattern needs to be present.<br>*Literal\<Double>*

## Examples

### Example 1: Base case

**Argument values:**

* **Input dataset:** ri.foundry.main.dataset.a
* **Items column:** `customer_attributes`
* **Minimum support:** 0.6

**Input:**

| customer\_attributes |
| ----- |
| \[ age\_group: 20-30, country: Germany, gender: Female ] |
| \[ age\_group: 20-30, country: Germany, gender: Male ] |

**Output:**

| pattern | pattern\_occurrence | total\_count |
| ----- | ----- | ----- |
| \[ country: Germany, age\_group: 20-30 ] | 2 | 2 |
| \[ age\_group: 20-30 ] | 2 | 2 |
| \[ country: Germany ] | 2 | 2 |

***

### Example 2: Null case

**Argument values:**

* **Input dataset:** ri.foundry.main.dataset.a
* **Items column:** `customer_attributes`
* **Minimum support:** 0.0

**Input:**

| customer\_attributes |
| ----- |
| *null* |

**Output:**

| pattern | pattern\_occurrence | total\_count |
| ----- | ----- | ----- |

***

### Example 3: Null case

**Argument values:**

* **Input dataset:** ri.foundry.main.dataset.a
* **Items column:** `customer_attributes`
* **Minimum support:** 0.0

**Input:**

| customer\_attributes |
| ----- |
| \[ age\_group: 20-30, country: Germany, gender: Female ] |
| \[ *null* ] |

**Output:**

| pattern | pattern\_occurrence | total\_count |
| ----- | ----- | ----- |
| \[ country: Germany ] | 1 | 2 |
| \[ country: Germany, age\_group: 20-30 ] | 1 | 2 |
| \[ *null* ] | 1 | 2 |
| \[ age\_group: 20-30 ] | 1 | 2 |
| \[ gender: Female ] | 1 | 2 |
| \[ gender: Female, country: Germany ] | 1 | 2 |
| \[ gender: Female, country: Germany, age\_group: 20-30 ] | 1 | 2 |
| \[ gender: Female, age\_group: 20-30 ] | 1 | 2 |

***

### Example 4: Edge case

**Argument values:**

* **Input dataset:** ri.foundry.main.dataset.a
* **Items column:** `customer_attributes`
* **Minimum support:** 0.0

**Input:**

| customer\_attributes |
| ----- |
| \[ age\_group: 20-30, country: Germany, gender: Female ] |
| \[ age\_group: 20-30, country: Germany, gender: Male ] |

**Output:**

| pattern | pattern\_occurrence | total\_count |
| ----- | ----- | ----- |
| \[ gender: Male ] | 1 | 2 |
| \[ gender: Male, country: Germany ] | 1 | 2 |
| \[ gender: Male, country: Germany, age\_group: 20-30 ] | 1 | 2 |
| \[ gender: Male, age\_group: 20-30 ] | 1 | 2 |
| \[ age\_group: 20-30 ] | 2 | 2 |
| \[ country: Germany ] | 2 | 2 |
| \[ country: Germany, age\_group: 20-30 ] | 2 | 2 |
| \[ gender: Female ] | 1 | 2 |
| \[ gender: Female, country: Germany ] | 1 | 2 |
| \[ gender: Female, country: Germany, age\_group: 20-30 ] | 1 | 2 |
| \[ gender: Female, age\_group: 20-30 ] | 1 | 2 |

***