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[SPARK-16653][ML][Optimizer] update ANN convergence tolerance param default to 1e-6 #14286

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[SPARK-16653][ML][Optimizer] update ANN convergence tolerance param default to 1e-6 #14286

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4 changes: 2 additions & 2 deletions mllib/src/main/scala/org/apache/spark/ml/classification/MultilayerPerceptronClassifier.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -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)
}

Expand Down Expand Up @@ -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
*/
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8 changes: 4 additions & 4 deletions python/pyspark/ml/classification.py
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Expand Up @@ -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__()
Expand All @@ -1141,11 +1141,11 @@ def __init__(self, featuresCol="features", labelCol="label", predictionCol="pred
@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.
"""
Expand Down