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sklearn.preprocessing.data.StandardScaler
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sklearn.preprocessing.data.StandardScaler
Visibility: public
Uploaded 10-11-2017 by
Benjamin Strang
sklearn==0.19.0 numpy>=1.6.1 scipy>=0.9
0 runs
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downloaded by 0 people
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openml-python
python
scikit-learn
sklearn
sklearn_0.19.0
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Automatically created scikit-learn flow.
Parameters
copy
default: true
with_mean
default: false
with_std
default: true
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copy
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Supervised Classification
Supervised Regression
Learning Curve
Supervised Data Stream Classification
Clustering
Machine Learning Challenge
Survival Analysis
Subgroup Discovery
area under roc curve
average cost
binominal test
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c index
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class complexity
class complexity gain
confusion matrix
correlation coefficient
cortana quality
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f measure
information gain
jaccard
kappa
kb relative information score
kohavi wolpert bias squared
kohavi wolpert error
kohavi wolpert sigma squared
kohavi wolpert variance
kononenko bratko information score
matthews correlation coefficient
mean absolute error
mean class complexity
mean class complexity gain
mean f measure
mean kononenko bratko information score
mean precision
mean prior absolute error
mean prior class complexity
mean recall
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weighted recall
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pattern team auroc10
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