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-rw-r--r--python/pyspark/ml/feature.py11
1 files changed, 11 insertions, 0 deletions
diff --git a/python/pyspark/ml/feature.py b/python/pyspark/ml/feature.py
index 141ec3492a..1fa0eab384 100644
--- a/python/pyspark/ml/feature.py
+++ b/python/pyspark/ml/feature.py
@@ -1987,6 +1987,8 @@ class PCA(JavaEstimator, HasInputCol, HasOutputCol):
>>> model = pca.fit(df)
>>> model.transform(df).collect()[0].pca_features
DenseVector([1.648..., -4.013...])
+ >>> model.explainedVariance
+ DenseVector([0.794..., 0.205...])
.. versionadded:: 1.5.0
"""
@@ -2052,6 +2054,15 @@ class PCAModel(JavaModel):
"""
return self._call_java("pc")
+ @property
+ @since("2.0.0")
+ def explainedVariance(self):
+ """
+ Returns a vector of proportions of variance
+ explained by each principal component.
+ """
+ return self._call_java("explainedVariance")
+
@inherit_doc
class RFormula(JavaEstimator, HasFeaturesCol, HasLabelCol):