Source code for pyflink.ml.lib.param.colname

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from pyflink.ml.api.param import WithParams, ParamInfo, TypeConverters


[docs]class HasSelectedCols(WithParams): """ An interface for classes with a parameter specifying the name of multiple table columns. .. versionadded:: 1.11.0 """ selected_cols = ParamInfo( "selectedCols", "Names of the columns used for processing", is_optional=False, type_converter=TypeConverters.to_list_string)
[docs] def set_selected_cols(self, v: list) -> 'HasSelectedCols': return super().set(self.selected_cols, v)
[docs] def get_selected_cols(self) -> list: return super().get(self.selected_cols)
[docs]class HasOutputCol(WithParams): """ An interface for classes with a parameter specifying the name of the output column. .. versionadded:: 1.11.0 """ output_col = ParamInfo( "outputCol", "Name of the output column", is_optional=False, type_converter=TypeConverters.to_string)
[docs] def set_output_col(self, v: str) -> 'HasOutputCol': return super().set(self.output_col, v)
[docs] def get_output_col(self) -> str: return super().get(self.output_col)
class HasPredictionCol(WithParams): """ An interface for classes with a parameter specifying the column name of the prediction. .. versionadded:: 1.11.0 """ prediction_col = ParamInfo( "predictionCol", "Column name of prediction.", is_optional=False, type_converter=TypeConverters.to_string) def set_prediction_col(self, v: str) -> 'HasPredictionCol': return super().set(self.prediction_col, v) def get_prediction_col(self) -> str: return super().get(self.prediction_col)