diff options
Diffstat (limited to 'mllib/src/main/scala/org/apache/spark/ml/evaluation/MulticlassClassificationEvaluator.scala')
| -rw-r--r-- | mllib/src/main/scala/org/apache/spark/ml/evaluation/MulticlassClassificationEvaluator.scala | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/mllib/src/main/scala/org/apache/spark/ml/evaluation/MulticlassClassificationEvaluator.scala b/mllib/src/main/scala/org/apache/spark/ml/evaluation/MulticlassClassificationEvaluator.scala index 55ff44323a..3acfc221c9 100644 --- a/mllib/src/main/scala/org/apache/spark/ml/evaluation/MulticlassClassificationEvaluator.scala +++ b/mllib/src/main/scala/org/apache/spark/ml/evaluation/MulticlassClassificationEvaluator.scala @@ -22,7 +22,7 @@ import org.apache.spark.ml.param.{Param, ParamMap, ParamValidators} import org.apache.spark.ml.param.shared.{HasLabelCol, HasPredictionCol} import org.apache.spark.ml.util.{DefaultParamsReadable, DefaultParamsWritable, Identifiable, SchemaUtils} import org.apache.spark.mllib.evaluation.MulticlassMetrics -import org.apache.spark.sql.{DataFrame, Row} +import org.apache.spark.sql.{Dataset, Row} import org.apache.spark.sql.types.DoubleType /** @@ -68,8 +68,8 @@ class MulticlassClassificationEvaluator @Since("1.5.0") (@Since("1.5.0") overrid setDefault(metricName -> "f1") - @Since("1.5.0") - override def evaluate(dataset: DataFrame): Double = { + @Since("2.0.0") + override def evaluate(dataset: Dataset[_]): Double = { val schema = dataset.schema SchemaUtils.checkColumnType(schema, $(predictionCol), DoubleType) SchemaUtils.checkColumnType(schema, $(labelCol), DoubleType) |