@property
@since('2.0.0')
def meanAbsoluteError(self):
    '\n        Returns the mean absolute error, which is a risk function\n        corresponding to the expected value of the absolute error\n        loss or l1-norm loss.\n\n        .. note:: This ignores instance weights (setting all to 1.0) from\n            `LinearRegression.weightCol`. This will change in later Spark\n            versions.\n        '
    return self._call_java('meanAbsoluteError')
Returns the mean absolute error, which is a risk function
corresponding to the expected value of the absolute error
loss or l1-norm loss.

.. note:: This ignores instance weights (setting all to 1.0) from
    `LinearRegression.weightCol`. This will change in later Spark
    versions.
@property
@since('2.0.0')
def meanAbsoluteError(self):
    '\n        Returns the mean absolute error, which is a risk function\n        corresponding to the expected value of the absolute error\n        loss or l1-norm loss.\n\n        .. note:: This ignores instance weights (setting all to 1.0) from\n            `LinearRegression.weightCol`. This will change in later Spark\n            versions.\n        '
    return self._call_java('meanAbsoluteError')