本文整理汇总了Python中pyspark.ml.feature.StringIndexer.getInputCol方法的典型用法代码示例。如果您正苦于以下问题：Python StringIndexer.getInputCol方法的具体用法？Python StringIndexer.getInputCol怎么用？Python StringIndexer.getInputCol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.feature.StringIndexer的用法示例。
在下文中一共展示了StringIndexer.getInputCol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: StringIndexer
# 需要导入模块: from pyspark.ml.feature import StringIndexer [as 别名]
# 或者: from pyspark.ml.feature.StringIndexer import getInputCol [as 别名]
if __name__ == "__main__":
spark = SparkSession\
.builder\
.appName("IndexToStringExample")\
.getOrCreate()
# $example on$
df = spark.createDataFrame(
[(0, "a"), (1, "b"), (2, "c"), (3, "a"), (4, "a"), (5, "c")],
["id", "category"])
indexer = StringIndexer(inputCol="category", outputCol="categoryIndex")
model = indexer.fit(df)
indexed = model.transform(df)
print("Transformed string column '%s' to indexed column '%s'"
% (indexer.getInputCol(), indexer.getOutputCol()))
indexed.show()
print("StringIndexer will store labels in output column metadata\n")
converter = IndexToString(inputCol="categoryIndex", outputCol="originalCategory")
converted = converter.transform(indexed)
print("Transformed indexed column '%s' back to original string column '%s' using "
"labels in metadata" % (converter.getInputCol(), converter.getOutputCol()))
converted.select("id", "categoryIndex", "originalCategory").show()
# $example off$
spark.stop()