Question: Scala / Spark 5) Given data training set below, make up names assuming the first column is the predictor and the second column is the
Scala / Spark
5) Given data training set below, make up names assuming the first column is the predictor and the second column is the target. Get creative as to what is being predicted!
| 1 | 4 |
| 1 | 7 |
| 3 | 9 |
| 3 | 12 |
| 4 | 11 |
| 4 | 12 |
| 5 | 17 |
| 6 | 13 |
| 6 | 18 |
| 7 | 17 |
PART One
Perform a Spark linear regression using a case class to hold the data read in
In the case class, make the feature argument a Spark vector, and the label as a Double
thus construct a Dataset ( not just a DataFrame) suitable for Spark Linear regression
Invoke the Spark Lin regression on your Dataset
Capture the usual parameters for a regression task: SST, SSR, SSE, intercept, regression coeff
correlation coef, & r2
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