TypeConverters¶
- 
class pyspark.ml.param.TypeConverters[source]¶
- Factory methods for common type conversion functions for Param.typeConverter. - New in version 2.0.0. - Methods - identity(value)- Dummy converter that just returns value. - toBoolean(value)- Convert a value to a boolean, if possible. - toFloat(value)- Convert a value to a float, if possible. - toInt(value)- Convert a value to an int, if possible. - toList(value)- Convert a value to a list, if possible. - toListFloat(value)- Convert a value to list of floats, if possible. - toListInt(value)- Convert a value to list of ints, if possible. - toListListFloat(value)- Convert a value to list of list of floats, if possible. - toListString(value)- Convert a value to list of strings, if possible. - toMatrix(value)- Convert a value to a MLlib Matrix, if possible. - toString(value)- Convert a value to a string, if possible. - toVector(value)- Convert a value to a MLlib Vector, if possible. - Methods Documentation - 
static toListFloat(value: Any) → List[float][source]¶
- Convert a value to list of floats, if possible. 
 - 
static toListListFloat(value: Any) → List[List[float]][source]¶
- Convert a value to list of list of floats, if possible. 
 - 
static toListString(value: Any) → List[str][source]¶
- Convert a value to list of strings, if possible. 
 - 
static toMatrix(value: Any) → pyspark.ml.linalg.Matrix[source]¶
- Convert a value to a MLlib Matrix, if possible. 
 - 
static toVector(value: Any) → pyspark.ml.linalg.Vector[source]¶
- Convert a value to a MLlib Vector, if possible. 
 
- 
static