[SPARK-30776][ML] Support FValueSelector for continuous features and continuous labels

### What changes were proposed in this pull request?
Add FValueRegressionSelector for continuous features and continuous labels.

### Why are the changes needed?
Currently Spark only supports selection of categorical features, while there are many requirements for the selection of continuous distribution features.

This PR adds FValueSelector for continuous features and continuous labels.
ANOVASelector for continuous features and categorical labels will be added later using a separate PR.

### Does this PR introduce any user-facing change?
Yes.
Add a new Selector

### How was this patch tested?
Add new tests

Closes apache#27679 from huaxingao/spark_30776.

Authored-by: Huaxin Gao <[email protected]>
Signed-off-by: zhengruifeng <[email protected]>

Author: huaxingao

mllib/src/main/scala/org/apache/spark/ml/feature/ChiSqSelector.scala

@@ -21,7 +21,7 @@ import org.apache.hadoop.fs.Path
 
 import org.apache.spark.annotation.Since
 import org.apache.spark.ml._
-import org.apache.spark.ml.attribute.{AttributeGroup, _}
+import org.apache.spark.ml.attribute._
 import org.apache.spark.ml.linalg._
 import org.apache.spark.ml.param._
 import org.apache.spark.ml.param.shared._