Automated generation of a machine learning model from computational simulation data
AssigneeOnScale, Inc.
InventorsDavid M. Freed, Ian Campbell
Life of this patent
Estimating the term…
Abstract
Systems and methods for automatically training a machine learning model are described herein. An example method includes performing a set of computational simulations; and assembling a data set associated with the set of computational simulations. The data set includes data associated with at least one simulation result for at least one computational simulation in the set of computational simulations. The method also includes training a machine learning model with the data set. At least one feature and at least one target for the machine learning model are part of the data set.
Claims30
A method for automatically training a machine learning model, comprising:
- performing a set of computational simulations;
- assembling a data set associated with the set of computational simulations, wherein the data set comprises data associated with at least one simulation result for at least one computational simulation in the set of computational simulations;
- and
- training a machine learning model with the data set, wherein at least one feature and at least one target for the machine learning model are part of the data set.
A system, comprising:
- a device comprising a network of measurement devices;
- a machine learning module, wherein the machine learning module is trained with a data set, wherein the data set comprises data associated with at least one simulation result for at least one computational simulation in a set of computational simulations, and wherein at least one feature and at least one target for the machine learning module are part of the data set;
- and
- a controller comprising a processor and a memory, the memory having computer-executable instructions stored thereon that, when executed by the processor, cause the processor to:
- receive respective measurements from the network of measurement devices;
- input the respective measurements into the machine learning module;
- and
- receive an output predicted by the machine learning module, wherein the output is a condition, property, or behavior of the device.
30-41. (canceled)
Dependencies are inferred from the claim text.