So In Spark you can you OneHotEncoderEstimator
to one-hot encode a column like this
import org.apache.spark.ml.feature.OneHotEncoderEstimator
val oneHotEncoder = new OneHotEncoderEstimator()
.setInputCols(Array(...))
.setOutputCols(...))
.setDropLast(false)
oneHotEncoder.fit(...)
But how would you do the inverse operation? i.e. the equivalent of sklearn inverse_transform
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