new FPGrowth()
Constructs a default instance with default parameters {minSupport: `0.3`, numPartitions: same
as the input data}.
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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.RDD | input data set, each element contains a transaction |
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Returns:
an [[FPGrowthModel]]
setMinSupport(minSupport) → {module:eclairjs/mllib/fpm.FPGrowth}
Sets the minimal support level (default: `0.3`).
Parameters:
| Name | Type | Description |
|---|---|---|
minSupport |
float |
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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 |
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