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[MINOR][DOCS] s/It take/It takes/g #20108

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[MINOR][DOCS] s/It take/It takes/g #20108

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6 changes: 3 additions & 3 deletions docs/mllib-frequent-pattern-mining.md
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Expand Up @@ -41,7 +41,7 @@ We refer users to the papers for more details.

[`FPGrowth`](api/scala/index.html#org.apache.spark.mllib.fpm.FPGrowth) implements the
FP-growth algorithm.
It take a `RDD` of transactions, where each transaction is an `Array` of items of a generic type.
It takes an `RDD` of transactions, where each transaction is an `Array` of items of a generic type.
Calling `FPGrowth.run` with transactions returns an
[`FPGrowthModel`](api/scala/index.html#org.apache.spark.mllib.fpm.FPGrowthModel)
that stores the frequent itemsets with their frequencies. The following
Expand All @@ -60,7 +60,7 @@ Refer to the [`FPGrowth` Scala docs](api/scala/index.html#org.apache.spark.mllib

[`FPGrowth`](api/java/org/apache/spark/mllib/fpm/FPGrowth.html) implements the
FP-growth algorithm.
It take an `JavaRDD` of transactions, where each transaction is an `Iterable` of items of a generic type.
It takes a `JavaRDD` of transactions, where each transaction is an `Iterable` of items of a generic type.
Calling `FPGrowth.run` with transactions returns an
[`FPGrowthModel`](api/java/org/apache/spark/mllib/fpm/FPGrowthModel.html)
that stores the frequent itemsets with their frequencies. The following
Expand All @@ -79,7 +79,7 @@ Refer to the [`FPGrowth` Java docs](api/java/org/apache/spark/mllib/fpm/FPGrowth

[`FPGrowth`](api/python/pyspark.mllib.html#pyspark.mllib.fpm.FPGrowth) implements the
FP-growth algorithm.
It take an `RDD` of transactions, where each transaction is an `List` of items of a generic type.
It takes an `RDD` of transactions, where each transaction is an `List` of items of a generic type.
Calling `FPGrowth.train` with transactions returns an
[`FPGrowthModel`](api/python/pyspark.mllib.html#pyspark.mllib.fpm.FPGrowthModel)
that stores the frequent itemsets with their frequencies.
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