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author | Nick Pentreath <nickp@za.ibm.com> | 2016-06-22 10:05:25 -0700 |
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committer | Xiangrui Meng <meng@databricks.com> | 2016-06-22 10:05:25 -0700 |
commit | 18faa588ca11190890d2eb569d7497fbb25eee5c (patch) | |
tree | 309c146287fdb3112772d9d41172b73427be2323 /python | |
parent | ea3a12b0147821960f8dabdc58d726f07f1f0e52 (diff) | |
download | spark-18faa588ca11190890d2eb569d7497fbb25eee5c.tar.gz spark-18faa588ca11190890d2eb569d7497fbb25eee5c.tar.bz2 spark-18faa588ca11190890d2eb569d7497fbb25eee5c.zip |
[SPARK-16127][ML][PYPSARK] Audit @Since annotations related to ml.linalg
[SPARK-14615](https://issues.apache.org/jira/browse/SPARK-14615) and #12627 changed `spark.ml` pipelines to use the new `ml.linalg` classes for `Vector`/`Matrix`. Some `Since` annotations for public methods/vals have not been updated accordingly to be `2.0.0`. This PR updates them.
## How was this patch tested?
Existing unit tests.
Author: Nick Pentreath <nickp@za.ibm.com>
Closes #13840 from MLnick/SPARK-16127-ml-linalg-since.
Diffstat (limited to 'python')
-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 |