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Weighting Part of Training Set More Heavily #124

Answered by njzjz
python-4 asked this question in Q&A
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The newest version has already supported this feature. For example,

"systems": ["data.old0", "data.old1", "data.old2", "data.new0", "data.new1"],
"auto_prob_style": "prob_sys_size; 0:3:1; 3:5:9",

makes the new data is 9 times more likely to be trained.

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Converted from issue

This discussion was converted from issue #124 on December 24, 2020 14:51.