StandardScalerModel¶
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class
pyspark.mllib.feature.
StandardScalerModel
(java_model)[source]¶ Represents a StandardScaler model that can transform vectors.
New in version 1.2.0.
Methods
Attributes
Methods Documentation
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call
(name, *a)¶ Call method of java_model
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setWithMean
(withMean)[source]¶ Setter of the boolean which decides whether it uses mean or not
New in version 1.4.0.
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setWithStd
(withStd)[source]¶ Setter of the boolean which decides whether it uses std or not
New in version 1.4.0.
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transform
(vector)[source]¶ Applies standardization transformation on a vector.
Note
In Python, transform cannot currently be used within an RDD transformation or action. Call transform directly on the RDD instead.
- Parameters
vector – Vector or RDD of Vector to be standardized.
- Returns
Standardized vector. If the variance of a column is zero, it will return default 0.0 for the column with zero variance.
New in version 1.2.0.
Attributes Documentation
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mean
¶ Return the column mean values.
New in version 2.0.0.
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std
¶ Return the column standard deviation values.
New in version 2.0.0.
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withMean
¶ Returns if the model centers the data before scaling.
New in version 2.0.0.
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withStd
¶ Returns if the model scales the data to unit standard deviation.
New in version 2.0.0.
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