I am tryin t run this code it's no working for me, can you please let me know what is wron with it. It is python

from pyspark.ml.regression import LinearRegression

# Load training data

training = spark.read.format("libsvm")\

.load("data/mllib/sample_linear_regression_data.txt")

lr = LinearRegression(maxIter=10, regParam=0.3, elasticNetParam=0.8)

# Fit the model

lrModel = lr.fit(training)

# Print the coefficients and intercept for linear regression

print("Coefficients: %s" % str(lrModel.coefficients))

print("Intercept: %s" % str(lrModel.intercept))

# Summarize the model over the training set and print out some metrics

trainingSummary = lrModel.summary

print("numIterations: %d" % trainingSummary.totalIterations)

print("objectiveHistory: %s" % str(trainingSummary.objectiveHistory))

trainingSummary.residuals.show()

print("RMSE: %f" % trainingSummary.rootMeanSquaredError)

print("r2: %f" % trainingSummary.r2)