本文整理汇总了Python中pyspark.ml.evaluation.RegressionEvaluator.explainParams方法的典型用法代码示例。如果您正苦于以下问题:Python RegressionEvaluator.explainParams方法的具体用法?Python RegressionEvaluator.explainParams怎么用?Python RegressionEvaluator.explainParams使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pyspark.ml.evaluation.RegressionEvaluator
的用法示例。
在下文中一共展示了RegressionEvaluator.explainParams方法的1个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: display
# 需要导入模块: from pyspark.ml.evaluation import RegressionEvaluator [as 别名]
# 或者: from pyspark.ml.evaluation.RegressionEvaluator import explainParams [as 别名]
# COMMAND ----------
petalPredictions = petalModels[0].transform(irisPetal)
display(petalPredictions)
# COMMAND ----------
# MAGIC %md
# MAGIC Next, we'll evaluate the model using the `RegressionEvaluator`.
# COMMAND ----------
from pyspark.ml.evaluation import RegressionEvaluator
regEval = RegressionEvaluator().setLabelCol('petalWidth')
print regEval.explainParams()
# COMMAND ----------
# MAGIC %md
# MAGIC The default value for `RegressionEvaluator` is root mean square error (RMSE). Let's view that first.
# COMMAND ----------
print regEval.evaluate(petalPredictions)
# COMMAND ----------
# MAGIC %md
# MAGIC `RegressionEvaluator` also supports mean square error (MSE), \\( r^2 \\), and mean absolute error (MAE). We'll view the \\( r^2 \\) metric next.