You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
The StandardScaler estimator scales the data to zero mean and unit variance. Use the IncrementalBasicStatistics estimator
to generate the mean and variance to scale the data. Investigate where the new implementation may be low performance and
include guards in the code to use Scikit-learn as necessary. The final deliverable would be to add this estimator to the 'spmd'
interfaces which are effective on MPI-enabled supercomputers, this will use the underlying MPI-enabled mean and variance
calculators in IncrementalBasicStatistics. This is an easy difficulty project, and would be a medium time commitment
when combined with other pre-processing projects.
The StandardScaler estimator scales the data to zero mean and unit variance. Use the IncrementalBasicStatistics estimator
to generate the mean and variance to scale the data. Investigate where the new implementation may be low performance and
include guards in the code to use Scikit-learn as necessary. The final deliverable would be to add this estimator to the 'spmd'
interfaces which are effective on MPI-enabled supercomputers, this will use the underlying MPI-enabled mean and variance
calculators in IncrementalBasicStatistics. This is an easy difficulty project, and would be a medium time commitment
when combined with other pre-processing projects.
https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html#sklearn.preprocessing.StandardScaler
The text was updated successfully, but these errors were encountered: