[SPARK-16470][ML][OPTIMIZER] Check linear regression training whether actually reach convergence and add warning if not

## What changes were proposed in this pull request?

In `ml.regression.LinearRegression`, it use breeze `LBFGS` and `OWLQN` optimizer to do data training, but do not check whether breeze's optimizer returned result actually reached convergence.

The `LBFGS` and `OWLQN` optimizer in breeze finish iteration may result the following situations:

1) reach max iteration number
2) function reach value convergence
3) objective function stop improving
4) gradient reach convergence
5) search failed(due to some internal numerical error)

I add warning printing code so that
if the iteration result is (1) or (3) or (5) in above, it will print a warning with respective reason string.

## How was this patch tested?

Manual.

Author: WeichenXu <WeichenXu123@outlook.com>

Closes #14122 from WeichenXu123/add_lr_not_convergence_warn.

Author: WeichenXu123

mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala

@@ -327,6 +327,11 @@ class LinearRegression @Since("1.3.0") (@Since("1.3.0") override val uid: String
         throw new SparkException(msg)
       }
 
+      if (!state.actuallyConverged) {
+        logWarning("LinearRegression training fininshed but the result " +
+          s"is not converged because: ${state.convergedReason.get.reason}")
+      }
+
       /*
          The coefficients are trained in the scaled space; we're converting them back to
          the original space.