Flow

TESTd8566dc583sklearn.preprocessing._data.StandardScaler

Visibility: public Uploaded 10-01-2024 by Continuous Integration
sklearn==1.3.2
numpy>=1.17.3
scipy>=1.5.0
joblib>=1.1.1
threadpoolctl>=2.0.0 0 runs

0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads

0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads

Issue | #Downvotes for this reason | By |
---|

copy | If False, try to avoid a copy and do inplace scaling instead This is not guaranteed to always work inplace; e.g. if the data is not a NumPy array or scipy.sparse CSR matrix, a copy may still be returned | default: true |

with_mean | If True, center the data before scaling This does not work (and will raise an exception) when attempted on sparse matrices, because centering them entails building a dense matrix which in common use cases is likely to be too large to fit in memory | default: false |

with_std | If True, scale the data to unit variance (or equivalently, unit standard deviation). | default: true |

0

Runs
Parameter:

Rendering chart

Rendering table