July 2018
Intermediate to advanced
334 pages
8h 20m
English
Content preview from Modern Scala Projects
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Step 6 – creating, training, and testing data
Now, let's split our dataset in two by providing a random seed:
val splitDataSet: Array[org.apache.spark.sql.Dataset[org.apache.spark.sql.Row]] = dataSet.randomSplit(Array(0.85, 0.15), 98765L)
Now our new splitDataset contains two datasets:
- Train dataset: A dataset containing Array[(Vector, iris-species-label-column: String)]
- Test dataset: A dataset containing Array[(Vector, iris-species-label-column: String)]
Confirm that the new dataset is of size 2:
splitDataset.sizeres48: Int = 2
Assign the training dataset to a variable, trainSet:
val trainDataSet = splitDataSet(0)trainSet: org.apache.spark.sql.Dataset[org.apache.spark.sql.Row] = [iris-features-column: vector, iris-species-label-column: ...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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