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Diffstat (limited to 'python/pyspark/ml/regression.py')
| -rw-r--r-- | python/pyspark/ml/regression.py | 8 |
1 files changed, 6 insertions, 2 deletions
diff --git a/python/pyspark/ml/regression.py b/python/pyspark/ml/regression.py index 29efd6a852..8de9ad8531 100644 --- a/python/pyspark/ml/regression.py +++ b/python/pyspark/ml/regression.py @@ -138,7 +138,7 @@ class LinearRegressionModel(JavaModel, JavaMLWritable, JavaMLReadable): """ @property - @since("1.6.0") + @since("2.0.0") def coefficients(self): """ Model coefficients. @@ -511,6 +511,7 @@ class IsotonicRegressionModel(JavaModel, JavaMLWritable, JavaMLReadable): """ @property + @since("2.0.0") def boundaries(self): """ Boundaries in increasing order for which predictions are known. @@ -518,6 +519,7 @@ class IsotonicRegressionModel(JavaModel, JavaMLWritable, JavaMLReadable): return self._call_java("boundaries") @property + @since("2.0.0") def predictions(self): """ Predictions associated with the boundaries at the same index, monotone because of isotonic @@ -1248,7 +1250,7 @@ class AFTSurvivalRegressionModel(JavaModel, JavaMLWritable, JavaMLReadable): """ @property - @since("1.6.0") + @since("2.0.0") def coefficients(self): """ Model coefficients. @@ -1271,12 +1273,14 @@ class AFTSurvivalRegressionModel(JavaModel, JavaMLWritable, JavaMLReadable): """ return self._call_java("scale") + @since("2.0.0") def predictQuantiles(self, features): """ Predicted Quantiles """ return self._call_java("predictQuantiles", features) + @since("2.0.0") def predict(self, features): """ Predicted value |