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The MinMaxScaler estimator scales the data to a range set by the minimum and maximum. Use the IncrementalBasicStatistics
estimator to generate the min and max 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 minimum and maximum
calculators in IncrementalBasicStatistics. This is similar to the MaxAbsScaler and can be combined into a small project.
This is an easy difficulty project.
The MinMaxScaler estimator scales the data to a range set by the minimum and maximum. Use the IncrementalBasicStatistics
estimator to generate the min and max 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 minimum and maximum
calculators in IncrementalBasicStatistics. This is similar to the MaxAbsScaler and can be combined into a small project.
This is an easy difficulty project.
https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html
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