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(See {ml-pull}1160[#1160], issue: {issue}55593[#55593].)
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* Make categorization respect the `model_memory_limit`. (See {ml-pull}1167[#1167],
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issue: {ml-issue}1130[#1130].)
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- * Fix underlying cause for "Failed to calculate splitting significance" log errors.
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- (See {ml-pull}1157[#1157].)
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* Respect user overrides for `max_trees` for classification and regression. (See
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{ml-pull}1185[#1185].)
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* Reset memory status from `soft_limit` to `ok` when pruning is no longer required.
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{ml-pull}1197[#1197].)
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* Improve the initialization of seasonal components for anomaly detection. (See
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{ml-pull}1201[#1201], issue: {ml-issue}#1178[#1178].)
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- * Fix possible root cause for "Bad variance scale nan" log errors. (See {ml-pull}1225[#1225].)
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== {es} version 7.7.1
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issue: {ml-issue}1136[#1136].)
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* Fix classification job failures when number of classes in configuration differs
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from the number of classes present in the training data. (See {ml-pull}1144[#1144].)
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+ * Fix underlying cause for "Failed to calculate splitting significance" log errors.
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+ (See {ml-pull}1157[#1157].)
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+ * Fix possible root cause for "Bad variance scale nan" log errors. (See {ml-pull}1225[#1225].)
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* Change data frame analytics instrumentation timestamp resolution to milliseconds. (See
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{ml-pull}1237[#1237].)
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* Fix "autodetect process stopped unexpectedly: Fatal error: 'terminate called after
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