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Commits on May 29, 2020
[ML] Parallelise the feature importance calculation for classification and regression over trees (#1277)
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Commits on May 28, 2020
Adding forecast parameter max_model_memory (#1238)
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Commits on May 27, 2020
[ML] Don't lose precision when persisting state (#1274)
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[DOCS] Adjust release note for reduced process priority (#1276)
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Commits on May 15, 2020
Correct documented change versions
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Commits on May 14, 2020
[ML] Fix bad function call exception in anomaly detection (#1246)
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[ML] Fix timestamp issue for instrumentation (#1237)
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Commits on May 13, 2020
[ML] Upgrade to gcc 9.3 for Linux compilation (#1170)
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Commits on May 11, 2020
[ML] Fix possible cause for "Bad variance scale nan" log errors (#1225)
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Commits on May 7, 2020
[ML] Only remove discontinuities initialising seasonal components if they were part of the hypothesis we selected (#1201)
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32daca6
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[ML] Fix restore for boosted tree and improve test coverage (#1197)
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Commits on May 5, 2020
[ML] Reset memory status from soft limit to ok below threshold (#1193)
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[ML] Add a constant to the prediction which minimises the unregularised loss for classification and regression (#1192)
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[ML] Pseudo-Huber loss function (#1168)
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Commits on May 4, 2020
[ML] Reduce false positives for the periodic component test for anomaly detection (#1177)
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[ML] Fix override of maximum permitted trees for classification and regression (#1185)
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Commits on May 2, 2020
[ML] Multiphase progress reporting for data frame analyses (#1179)
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Commits on Apr 28, 2020
[ML] Limit categorization memory usage (#1167)
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Commits on Apr 27, 2020
[ML] Fix a bug in adaptive local regression (#1157)
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Commits on Apr 23, 2020
[ML] Trap and fail if no regressors are provided to classification or regression (#1160)
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[ML] Improve stability of trend decomposition for very sparse data (#1158)
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Commits on Apr 17, 2020
[ML] Fix printing values for multiclass feature importance (#1144)
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Commits on Apr 16, 2020
[ML] Ensure the performance critical data are 16 byte aligned for data frame analyses (#1142)
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[ML] Implement MSLE loss function for regression (#1101)
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6c3a5b4
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Commits on Apr 15, 2020
[ML] Fix periodic persistence of categorizer state (#1137)
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[ML] Add cross compilation support, Docker images and CI for aarch64 (#1135)
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[ML] Eagerly discard node statistics for leaves which we will never split (#1125)
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Commits on Apr 9, 2020
[ML] Reduce variability in regression and classification results across our target platforms (#1127)
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Commits on Apr 7, 2020
[ML] Round up data frame analytics memory estimates to next MB (#1126)
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[ML] Multiclass maximise minimum recall (#1113)
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Commits on Apr 2, 2020
[ML] Adding num_matches and preferred_to_categories output to categories (#1062)
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[ML] Improve bad input handling in distribution models (#1114)
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0f15528
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[ML] Speed up the lat_long function (#1102)
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d54de38
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[ML] take training_percent into account when estimating memory (#1111)
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[ML] Reduce analysis process priority for CPU scheduling (#1109)
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