Logistic Regression

Runs LogisticRegression over the input datasets.

input in this case is the training dataset. The test dataset is specified by testfile.

Parameters

Name	Required (y/n)	Default	Description
name	yes	–	“lr-bml”
input	yes	–	path to the training dataset
testfile	yes	–	path to the test dataset
output	no	–	If users wish to capture the actual results of the workload, they can specify an output file here.
save-mode	no	errorifexists	Options are “errorifexists”, “ignore” (no-op if exists), and “overwrite”
numpartitions	no	32	number of partitions
cacheenabled	no	false	whether or not the datasets are cached after being read from disk

Examples

{
  name = "lr-bml"
  input = "/tmp/training-data.parquet"
  testfile = "/tmp/test-data.parquet"
  output = "/tmp/lr-results.csv"
}

{
  name = "lr-bml"
  input = "/tmp/training-data.parquet"
  testfile = "/tmp/test-data.parquet"
  output = "/tmp/lr-results.csv"
  cacheenabled = true
}