Pyspark decision tree regressor : retrieve the path in an obervation regressor spark decision tree

Question

I'd like to know if it's possible to retrieve the path in the regression tree (pyspark) for an observation

The model code is as follows

from pyspark.ml.tuning import ParamGridBuilder, CrossValidator
from pyspark.ml.classification import DecisionTreeClassifier, DecisionTreeClassificationModel, GBTClassifier,GBTClassificationModel
from pyspark.ml.regression import DecisionTreeRegressor, DecisionTreeRegressionModel
from pyspark.ml.evaluation import BinaryClassificationEvaluator, RegressionEvaluator
dt = DecisionTreeRegressor(maxBins=10000, seed=0)

cv_dt_evaluator = RegressionEvaluator(
    metricName='rmse'
    )


dt_grid = ParamGridBuilder()\
    .addGrid(
        dt.minInstancesPerNode, [100]
)\
    .addGrid(
        dt.maxDepth, [10]
)\
    .build()

cv = CrossValidator(
    estimator=dt, estimatorParamMaps=dt_grid, evaluator=cv_dt_evaluator,
    parallelism=4,
    numFolds=4
)
cv_model = cv.fit(train)
clf_best = clf.bestModel

Thank