diff options
Diffstat (limited to 'python/pyspark')
| -rw-r--r-- | python/pyspark/ml/classification.py | 8 | ||||
| -rw-r--r-- | python/pyspark/ml/regression.py | 8 |
2 files changed, 10 insertions, 6 deletions
diff --git a/python/pyspark/ml/classification.py b/python/pyspark/ml/classification.py index d6d713ca53..c035942f73 100644 --- a/python/pyspark/ml/classification.py +++ b/python/pyspark/ml/classification.py @@ -224,7 +224,7 @@ class LogisticRegressionModel(JavaModel, JavaMLWritable, JavaMLReadable): """ @property - @since("1.6.0") + @since("2.0.0") def coefficients(self): """ Model coefficients. @@ -1051,7 +1051,7 @@ class NaiveBayesModel(JavaModel, JavaMLWritable, JavaMLReadable): """ @property - @since("1.5.0") + @since("2.0.0") def pi(self): """ log of class priors. @@ -1059,7 +1059,7 @@ class NaiveBayesModel(JavaModel, JavaMLWritable, JavaMLReadable): return self._call_java("pi") @property - @since("1.5.0") + @since("2.0.0") def theta(self): """ log of class conditional probabilities. @@ -1260,7 +1260,7 @@ class MultilayerPerceptronClassificationModel(JavaModel, JavaMLWritable, JavaMLR return self._call_java("javaLayers") @property - @since("1.6.0") + @since("2.0.0") def weights(self): """ vector of initial weights for the model that consists of the weights of layers. 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 |