diff options
Diffstat (limited to 'python/pyspark/ml/regression.py')
| -rw-r--r-- | python/pyspark/ml/regression.py | 9 |
1 files changed, 9 insertions, 0 deletions
diff --git a/python/pyspark/ml/regression.py b/python/pyspark/ml/regression.py index f6c5d130dd..1c18df3b27 100644 --- a/python/pyspark/ml/regression.py +++ b/python/pyspark/ml/regression.py @@ -331,6 +331,9 @@ class LinearRegressionSummary(JavaCallable): Standard error of estimated coefficients and intercept. This value is only available when using the "normal" solver. + If :py:attr:`LinearRegression.fitIntercept` is set to True, + then the last element returned corresponds to the intercept. + .. seealso:: :py:attr:`LinearRegression.solver` """ return self._call_java("coefficientStandardErrors") @@ -342,6 +345,9 @@ class LinearRegressionSummary(JavaCallable): T-statistic of estimated coefficients and intercept. This value is only available when using the "normal" solver. + If :py:attr:`LinearRegression.fitIntercept` is set to True, + then the last element returned corresponds to the intercept. + .. seealso:: :py:attr:`LinearRegression.solver` """ return self._call_java("tValues") @@ -353,6 +359,9 @@ class LinearRegressionSummary(JavaCallable): Two-sided p-value of estimated coefficients and intercept. This value is only available when using the "normal" solver. + If :py:attr:`LinearRegression.fitIntercept` is set to True, + then the last element returned corresponds to the intercept. + .. seealso:: :py:attr:`LinearRegression.solver` """ return self._call_java("pValues") |