new FPGrowth()
Constructs a default instance with default parameters {minSupport: `0.3`, numPartitions: same
as the input data}.
- Source:
Methods
run(data) → {module:eclairjs/mllib/fpm.FPGrowthModel}
Computes an FP-Growth model that contains frequent itemsets.
Parameters:
| Name | Type | Description |
|---|---|---|
data |
module:eclairjs.RDD | input data set, each element contains a transaction |
- Source:
Returns:
an [[module:eclairjs/mllib/fpm.FPGrowthModel]]
setMinSupport(minSupport) → {module:eclairjs/mllib/fpm.FPGrowth}
Sets the minimal support level (default: `0.3`).
Parameters:
| Name | Type | Description |
|---|---|---|
minSupport |
float |
- Source:
Returns:
setNumPartitions(numPartitions) → {module:eclairjs/mllib/fpm.FPGrowth}
Sets the number of partitions used by parallel FP-growth (default: same as input data).
Parameters:
| Name | Type | Description |
|---|---|---|
numPartitions |
integer |
- Source: