Thanks for the reply, well I don't have hadoop installed at all. I am just running in local as eclipse project so I don't know where I can configure the path as suggested per JIRA :(
On 3 Aug 2016 19:07, "Ted Yu" <yuzhih...@gmail.com> wrote: > SPARK-15899 <https://issues.apache.org/jira/browse/SPARK-15899> ? > > On Wed, Aug 3, 2016 at 11:05 AM, Flavio <marchifla...@gmail.com> wrote: > >> Hello everyone, >> >> I am try to run a very easy example but unfortunately I am stuck on the >> follow exception: >> >> Exception in thread "main" java.lang.IllegalArgumentException: >> java.net.URISyntaxException: Relative path in absolute URI: file: >> "absolute >> directory" >> >> I was wondering if anyone got this exception trying to run the examples on >> the spark git repo; actually the code I am try to run is the follow: >> >> >> //$example on$ >> import org.apache.spark.ml.Pipeline; >> import org.apache.spark.ml.PipelineModel; >> import org.apache.spark.ml.PipelineStage; >> import org.apache.spark.ml.evaluation.RegressionEvaluator; >> import org.apache.spark.ml.feature.VectorIndexer; >> import org.apache.spark.ml.feature.VectorIndexerModel; >> import org.apache.spark.ml.regression.RandomForestRegressionModel; >> import org.apache.spark.ml.regression.RandomForestRegressor; >> import org.apache.spark.sql.Dataset; >> import org.apache.spark.sql.Row; >> import org.apache.spark.sql.SparkSession; >> //$example off$ >> >> public class JavaRandomForestRegressorExample { >> public static void main(String[] args) { >> System.setProperty("hadoop.home.dir", "C:\\winutils"); >> >> SparkSession spark = SparkSession >> .builder() >> .master("local[*]") >> >> .appName("JavaRandomForestRegressorExample") >> .getOrCreate(); >> >> // $example on$ >> // Load and parse the data file, converting it to a >> DataFrame. >> Dataset<Row> data = >> spark.read().format("libsvm").load("C:\\data\\sample_libsvm_data.txt"); >> >> // Automatically identify categorical features, and index >> them. >> // Set maxCategories so features with > 4 distinct values >> are treated as >> // continuous. >> VectorIndexerModel featureIndexer = new >> VectorIndexer().setInputCol("features").setOutputCol("indexedFeatures") >> .setMaxCategories(4).fit(data); >> >> // Split the data into training and test sets (30% held >> out for testing) >> Dataset<Row>[] splits = data.randomSplit(new double[] { >> 0.7, 0.3 }); >> Dataset<Row> trainingData = splits[0]; >> Dataset<Row> testData = splits[1]; >> >> // Train a RandomForest model. >> RandomForestRegressor rf = new >> >> RandomForestRegressor().setLabelCol("label").setFeaturesCol("indexedFeatures"); >> >> // Chain indexer and forest in a Pipeline >> Pipeline pipeline = new Pipeline().setStages(new >> PipelineStage[] { >> featureIndexer, rf }); >> >> // Train model. This also runs the indexer. >> PipelineModel model = pipeline.fit(trainingData); >> >> // Make predictions. >> Dataset<Row> predictions = model.transform(testData); >> >> // Select example rows to display. >> predictions.select("prediction", "label", >> "features").show(5); >> >> // Select (prediction, true label) and compute test error >> RegressionEvaluator evaluator = new >> RegressionEvaluator().setLabelCol("label").setPredictionCol("prediction") >> .setMetricName("rmse"); >> double rmse = evaluator.evaluate(predictions); >> System.out.println("Root Mean Squared Error (RMSE) on >> test data = " + >> rmse); >> >> RandomForestRegressionModel rfModel = >> (RandomForestRegressionModel) >> (model.stages()[1]); >> System.out.println("Learned regression forest model:\n" + >> rfModel.toDebugString()); >> // $example off$ >> >> spark.stop(); >> } >> } >> >> >> Thanks to everyone for reading/answering! >> >> Flavio >> >> >> >> -- >> View this message in context: >> http://apache-spark-user-list.1001560.n3.nabble.com/java-net-URISyntaxException-Relative-path-in-absolute-URI-tp27466.html >> Sent from the Apache Spark User List mailing list archive at Nabble.com. >> >> --------------------------------------------------------------------- >> To unsubscribe e-mail: user-unsubscr...@spark.apache.org >> >> >
