@property
@since('2.0.0')
def meanSquaredError(self):
    '\n        Returns the mean squared error, which is a risk function\n        corresponding to the expected value of the squared error\n        loss or quadratic 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('meanSquaredError')
Returns the mean squared error, which is a risk function
corresponding to the expected value of the squared error
loss or quadratic 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 meanSquaredError(self):
    '\n        Returns the mean squared error, which is a risk function\n        corresponding to the expected value of the squared error\n        loss or quadratic 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('meanSquaredError')