diff options
| -rw-r--r-- | mllib/src/main/scala/org/apache/spark/ml/classification/MultilayerPerceptronClassifier.scala | 4 | ||||
| -rw-r--r-- | python/pyspark/ml/classification.py | 8 |
2 files changed, 6 insertions, 6 deletions
diff --git a/mllib/src/main/scala/org/apache/spark/ml/classification/MultilayerPerceptronClassifier.scala b/mllib/src/main/scala/org/apache/spark/ml/classification/MultilayerPerceptronClassifier.scala index 76ef32aa3d..7264a99b47 100644 --- a/mllib/src/main/scala/org/apache/spark/ml/classification/MultilayerPerceptronClassifier.scala +++ b/mllib/src/main/scala/org/apache/spark/ml/classification/MultilayerPerceptronClassifier.scala @@ -100,7 +100,7 @@ private[classification] trait MultilayerPerceptronParams extends PredictorParams @Since("2.0.0") final def getInitialWeights: Vector = $(initialWeights) - setDefault(maxIter -> 100, tol -> 1e-4, blockSize -> 128, + setDefault(maxIter -> 100, tol -> 1e-6, blockSize -> 128, solver -> MultilayerPerceptronClassifier.LBFGS, stepSize -> 0.03) } @@ -190,7 +190,7 @@ class MultilayerPerceptronClassifier @Since("1.5.0") ( /** * Set the convergence tolerance of iterations. * Smaller value will lead to higher accuracy with the cost of more iterations. - * Default is 1E-4. + * Default is 1E-6. * * @group setParam */ diff --git a/python/pyspark/ml/classification.py b/python/pyspark/ml/classification.py index 613bc8cb3e..9a3c7b1596 100644 --- a/python/pyspark/ml/classification.py +++ b/python/pyspark/ml/classification.py @@ -1124,11 +1124,11 @@ class MultilayerPerceptronClassifier(JavaEstimator, HasFeaturesCol, HasLabelCol, @keyword_only def __init__(self, featuresCol="features", labelCol="label", predictionCol="prediction", - maxIter=100, tol=1e-4, seed=None, layers=None, blockSize=128, stepSize=0.03, + maxIter=100, tol=1e-6, seed=None, layers=None, blockSize=128, stepSize=0.03, solver="l-bfgs", initialWeights=None): """ __init__(self, featuresCol="features", labelCol="label", predictionCol="prediction", \ - maxIter=100, tol=1e-4, seed=None, layers=None, blockSize=128, stepSize=0.03, \ + maxIter=100, tol=1e-6, seed=None, layers=None, blockSize=128, stepSize=0.03, \ solver="l-bfgs", initialWeights=None) """ super(MultilayerPerceptronClassifier, self).__init__() @@ -1141,11 +1141,11 @@ class MultilayerPerceptronClassifier(JavaEstimator, HasFeaturesCol, HasLabelCol, @keyword_only @since("1.6.0") def setParams(self, featuresCol="features", labelCol="label", predictionCol="prediction", - maxIter=100, tol=1e-4, seed=None, layers=None, blockSize=128, stepSize=0.03, + maxIter=100, tol=1e-6, seed=None, layers=None, blockSize=128, stepSize=0.03, solver="l-bfgs", initialWeights=None): """ setParams(self, featuresCol="features", labelCol="label", predictionCol="prediction", \ - maxIter=100, tol=1e-4, seed=None, layers=None, blockSize=128, stepSize=0.03, \ + maxIter=100, tol=1e-6, seed=None, layers=None, blockSize=128, stepSize=0.03, \ solver="l-bfgs", initialWeights=None) Sets params for MultilayerPerceptronClassifier. """ |