Created
January 21, 2019 01:58
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| # linear regresion with Spark | |
| from pyspark.ml.regression import LinearRegression | |
| # linear regression | |
| lr = LinearRegression(maxIter=10, regParam=0.1, | |
| elasticNetParam=0.5, labelCol="target") | |
| # Fit the model | |
| model = lr.fit(boston_train) | |
| boston_pred = model.transform(boston_test) | |
| # calculate results | |
| r = boston_pred.stat.corr("prediction", "target") | |
| print("R-sqaured: " + str(r**2)) |
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