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Use holdout set for learned parameters when using row subsampling. - #85

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tabfm-holdout
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Use holdout set for learned parameters when using row subsampling.#85
tamannarayan wants to merge 4 commits into
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tabfm-holdout

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Adopt shared hold-out set to optimize NNLS and calibration parameters on when per-member row subsampling is active. Allows the joint setting of max_num_rows along with NNLS and/or calibration.

The hold-out set to be 5% of the total training dataset size or 1k rows, whichever is larger (with a total cap of 10k rows).

… on when per-member row subsampling is active. Allows the joint setting of max_num_rows along with NNLS and/or calibration.
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