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)