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Jmeeks29ig
Jmeeks29ig
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Some scientific libraries, like Scikit-Learn for Python are able to create normalizing/standardizing functions based on data that is previously given. Looking at the documentation for Normalize[] and Standardize[], I don't see any type of functionality for creating a normalizing or standardizing function.

Is there any way that I can use Normalize[] or Standardize[] without needing to load all of the previously used data, in the effort to make my program more efficient?

To clarify, I would like to provide data for these functions that is (hopefully) representative of the other data I will be feeding the functions, and then use the result to create a function that normalizes/standardizes any new data that is sent in. Thanks!

Some scientific libraries, like Scikit-Learn for Python are able to create normalizing/standardizing functions based on data that is previously given. Looking at the documentation for Normalize[] and Standardize[], I don't see any type of functionality for creating a normalizing or standardizing function.

Is there any way that I can use Normalize[] or Standardize[] without needing to load all of the previously used data, in the effort to make my program more efficient?

To clarify, I would like to provide data for these functions that is representative of the other data I will be feeding the functions, and then use the result to create a function that normalizes/standardizes any new data that is sent in. Thanks!

Some scientific libraries, like Scikit-Learn for Python are able to create normalizing/standardizing functions based on data that is previously given. Looking at the documentation for Normalize[] and Standardize[], I don't see any type of functionality for creating a normalizing or standardizing function.

Is there any way that I can use Normalize[] or Standardize[] without needing to load all of the previously used data, in the effort to make my program more efficient?

To clarify, I would like to provide data for these functions that is (hopefully) representative of the other data I will be feeding the functions, and then use the result to create a function that normalizes/standardizes any new data that is sent in. Thanks!

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Jmeeks29ig
Jmeeks29ig
  • 1.4k
  • 7
  • 13

How can I normalize a dataset relative to data already given previously?

Some scientific libraries, like Scikit-Learn for Python are able to create normalizing/standardizing functions based on data that is previously given. Looking at the documentation for Normalize[] and Standardize[], I don't see any type of functionality for creating a normalizing or standardizing function.

Is there any way that I can use Normalize[] or Standardize[] without needing to load all of the previously used data, in the effort to make my program more efficient?

To clarify, I would like to provide data for these functions that is representative of the other data I will be feeding the functions, and then use the result to create a function that normalizes/standardizes any new data that is sent in. Thanks!