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Diffstat (limited to 'docs/mllib-isotonic-regression.md')
| -rw-r--r-- | docs/mllib-isotonic-regression.md | 6 |
1 files changed, 6 insertions, 0 deletions
diff --git a/docs/mllib-isotonic-regression.md b/docs/mllib-isotonic-regression.md index 6aa881f749..f91a697b31 100644 --- a/docs/mllib-isotonic-regression.md +++ b/docs/mllib-isotonic-regression.md @@ -59,6 +59,8 @@ i.e. 4710.28,500.00. The data are split to training and testing set. Model is created using the training set and a mean squared error is calculated from the predicted labels and real labels in the test set. +Refer to the [`IsotonicRegression` Scala docs](api/scala/index.html#org.apache.spark.mllib.regression.IsotonicRegression) and [`IsotonicRegressionModel` Scala docs](api/scala/index.html#org.apache.spark.mllib.regression.IsotonicRegressionModel) for details on the API. + {% highlight scala %} import org.apache.spark.mllib.regression.{IsotonicRegression, IsotonicRegressionModel} @@ -101,6 +103,8 @@ i.e. 4710.28,500.00. The data are split to training and testing set. Model is created using the training set and a mean squared error is calculated from the predicted labels and real labels in the test set. +Refer to the [`IsotonicRegression` Java docs](api/java/org/apache/spark/mllib/regression/IsotonicRegression.html) and [`IsotonicRegressionModel` Java docs](api/java/org/apache/spark/mllib/regression/IsotonicRegressionModel.html) for details on the API. + {% highlight java %} import org.apache.spark.SparkConf; import org.apache.spark.api.java.JavaDoubleRDD; @@ -167,6 +171,8 @@ i.e. 4710.28,500.00. The data are split to training and testing set. Model is created using the training set and a mean squared error is calculated from the predicted labels and real labels in the test set. +Refer to the [`IsotonicRegression` Python docs](api/python/pyspark.mllib.html#pyspark.mllib.regression.IsotonicRegression) and [`IsotonicRegressionModel` Python docs](api/python/pyspark.mllib.html#pyspark.mllib.regression.IsotonicRegressionModel) for more details on the API. + {% highlight python %} import math from pyspark.mllib.regression import IsotonicRegression, IsotonicRegressionModel |