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[ML] Introduce randomize_seed setting for regression and classification #49990
[ML] Introduce randomize_seed setting for regression and classification #49990
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This adds a new `randomize_seed` for regression and classification. When not explicitly set, the seed is randomly generated. One can reuse the seed in a similar job in order to ensure the same docs are picked for training.
Pinging @elastic/ml-core (:ml) |
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Much simpler solution.
the default to CURRENT
threw be a bit. Could you comment that it is used for the null
case?
@benwtrent All other uses of |
Until #49990 is backported to 7.x
…ication (elastic#49990) This adds a new `randomize_seed` for regression and classification. When not explicitly set, the seed is randomly generated. One can reuse the seed in a similar job in order to ensure the same docs are picked for training. Backport of elastic#49990
... now that elastic#49990 has been backported. Relates elastic#49990
…on (elastic#49990) This adds a new `randomize_seed` for regression and classification. When not explicitly set, the seed is randomly generated. One can reuse the seed in a similar job in order to ensure the same docs are picked for training.
Until elastic#49990 is backported to 7.x
... now that elastic#49990 has been backported. Relates elastic#49990
This adds a new
randomize_seed
for regression and classification.When not explicitly set, the seed is randomly generated. One can
reuse the seed in a similar job in order to ensure the same docs
are picked for training.