Github user jkbradley commented on a diff in the pull request: https://github.com/apache/spark/pull/15415#discussion_r102535103 --- Diff: mllib/src/main/scala/org/apache/spark/ml/fpm/FPGrowth.scala --- @@ -0,0 +1,341 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.spark.ml.fpm + +import scala.collection.mutable.ArrayBuffer +import scala.reflect.ClassTag + +import org.apache.hadoop.fs.Path + +import org.apache.spark.annotation.{Experimental, Since} +import org.apache.spark.ml.{Estimator, Model} +import org.apache.spark.ml.param._ +import org.apache.spark.ml.param.shared.{HasFeaturesCol, HasPredictionCol} +import org.apache.spark.ml.util._ +import org.apache.spark.mllib.fpm.{AssociationRules => MLlibAssociationRules, + FPGrowth => MLlibFPGrowth} +import org.apache.spark.mllib.fpm.FPGrowth.FreqItemset +import org.apache.spark.sql._ +import org.apache.spark.sql.functions._ +import org.apache.spark.sql.types._ + +/** + * Common params for FPGrowth and FPGrowthModel + */ +private[fpm] trait FPGrowthParams extends Params with HasFeaturesCol with HasPredictionCol { + + /** + * Minimal support level of the frequent pattern. [0.0, 1.0]. Any pattern that appears + * more than (minSupport * size-of-the-dataset) times will be output + * Default: 0.3 + * @group param + */ + @Since("2.2.0") + val minSupport: DoubleParam = new DoubleParam(this, "minSupport", + "the minimal support level of the frequent pattern (Default: 0.3)", + ParamValidators.inRange(0.0, 1.0)) + setDefault(minSupport -> 0.3) + + /** @group getParam */ + @Since("2.2.0") + def getMinSupport: Double = $(minSupport) + + /** + * Number of partitions (>=1) used by parallel FP-growth. By default the param is not set, and + * partition number of the input dataset is used. + * @group expertParam + */ + @Since("2.2.0") + val numPartitions: IntParam = new IntParam(this, "numPartitions", + "Number of partitions used by parallel FP-growth", ParamValidators.gtEq[Int](1)) + + /** @group expertGetParam */ + @Since("2.2.0") + def getNumPartitions: Int = $(numPartitions) + + /** + * Minimal confidence for generating Association Rule. + * Note that minConfidence has no effect during fitting. + * Default: 0.8 + * @group param + */ + @Since("2.2.0") + val minConfidence: DoubleParam = new DoubleParam(this, "minConfidence", + "minimal confidence for generating Association Rule (Default: 0.8)", + ParamValidators.inRange(0.0, 1.0)) + setDefault(minConfidence -> 0.8) + + /** @group getParam */ + @Since("2.2.0") + def getMinConfidence: Double = $(minConfidence) + + /** + * Validates and transforms the input schema. + * @param schema input schema + * @return output schema + */ + @Since("2.2.0") + protected def validateAndTransformSchema(schema: StructType): StructType = { + val inputType = schema($(featuresCol)).dataType + require(inputType.isInstanceOf[ArrayType], + s"The input column must be ArrayType, but got $inputType.") + SchemaUtils.appendColumn(schema, $(predictionCol), schema($(featuresCol)).dataType) + } +} + +/** + * :: Experimental :: + * A parallel FP-growth algorithm to mine frequent itemsets. + * + * @see [[http://dx.doi.org/10.1145/1454008.1454027 Li et al., PFP: Parallel FP-Growth for Query --- End diff -- Could you please go ahead and copy the relevant text and links from the Scaladoc string for mllib.fpm.FPGrowth?
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