May 2017
Intermediate to advanced
294 pages
7h 33m
English
Content preview from Apache Spark 2.x Cookbook
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How to do it...
- Start the Spark shell:
$ spark-shell
- Do the necessary imports:
scala> import org.apache.spark.ml.linalg.Vectors scala> import org.apache.spark.ml.clustering.KMeans
- Create a DataFrame with the features vector:
scala> val data = spark.createDataFrame(Seq( Vectors.dense(12839,2405), Vectors.dense(10000,2200), Vectors.dense(8040,1400), Vectors.dense(13104,1800), Vectors.dense(10000,2351), Vectors.dense(3049,795), Vectors.dense(38768,2725), Vectors.dense(16250,2150), Vectors.dense(43026,2724), Vectors.dense(44431,2675), Vectors.dense(40000,2930), Vectors.dense(1260,870), Vectors.dense(15000,2210), Vectors.dense(10032,1145), Vectors.dense(12420,2419), Vectors.dense(69696,2750), Vectors.dense(12600,2035), Vectors.dense(10240,1150), ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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