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sklearn.preprocessing._data.MaxAbsScaler

sklearn.preprocessing._data.MaxAbsScaler

Visibility: public Uploaded 12-09-2021 by Perez sklearn==0.24.2 numpy>=1.13.3 scipy>=0.19.1 joblib>=0.11 threadpoolctl>=2.0.0 0 runs
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  • openml-python python scikit-learn sklearn sklearn_0.24.2
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Scale each feature by its maximum absolute value. This estimator scales and translates each feature individually such that the maximal absolute value of each feature in the training set will be 1.0. It does not shift/center the data, and thus does not destroy any sparsity. This scaler can also be applied to sparse CSR or CSC matrices. .. versionadded:: 0.17

Parameters

copySet to False to perform inplace scaling and avoid a copy (if the input is already a numpy array).default: true

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