[ML-FC] Use disk storage for forecasting large models#59
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hendrikmuhs merged 13 commits intoelastic:feature/forecast-scalefrom Apr 17, 2018
hendrikmuhs:forecast-scale-rebase2
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[ML-FC] Use disk storage for forecasting large models#59hendrikmuhs merged 13 commits intoelastic:feature/forecast-scalefrom hendrikmuhs:forecast-scale-rebase2
hendrikmuhs merged 13 commits intoelastic:feature/forecast-scalefrom
hendrikmuhs:forecast-scale-rebase2
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April 5, 2018 11:24
Re-factor minimumSeasonalVarianceScale to make it available as method. This is required in order to restore models from a file stream, more precisely it is required as a parameter for maths::CModelParams which is required for maths::SModelRestoreParams
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merging this into the feature branch, it will get another review once we decide for landing the branch |
droberts195
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Apr 23, 2018
This implements the C++ side of forecast persistence. An additional parameter allows the forecast runner to persist models on disk for temporary purposes. Models are loaded back into memory one by one. For models smaller than the current limit of 20MB nothing changes.
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This implements the C++ side of forecast persistence. An additional parameter allows the forecast runner to persist models on disk for temporary purposes. Models are loaded back into memory one by one.
For models smaller than the current limit of 20MB nothing changes.
X-Pack part: elastic/x-pack-elasticsearch#4134
replaces #36
Formating changes: