Prediction model creation apparatus
AssigneeNEC Corporation
InventorsRyuta Matsuno, Keita Sakuma, Masakazu Hirokawa
Life of this patent
Estimating the term…
Abstract
A prediction model creation apparatus of the present disclosure includes: an acquiring unit acquiring training data including averaged samples each obtained by averaging a plurality of samples each composed of a pair of an explanatory variable and an objective variable; an estimating unit estimating a pre-averaging distribution that is a distribution of explanatory variables before averaging corresponding to explanatory variables composing the averaged samples of the training data; and a training unit performing machine learning on a prediction model that predicts an objective variable from an explanatory variable, based on the training data and the pre-averaging distribution for decision making support.
Claims17
A prediction model creation apparatus comprising:
- at least one memory storing processing instructions;
- and
- at least one processor configured to execute the processing instructions to:
- acquire training data including averaged samples each obtained by averaging a plurality of samples each composed of a pair of an explanatory variable and an objective variable;
- estimate a pre-averaging distribution that is a distribution of explanatory variables before averaging corresponding to explanatory variables composing the averaged samples of the training data;
- and
- perform machine learning on a prediction model that predicts an objective variable from an explanatory variable, based on the training data and the pre-averaging distribution.
A prediction model creation method comprising:
- acquiring training data including averaged samples each obtained by averaging a plurality of samples each composed of a pair of an explanatory variable and an objective variable;
- estimating a pre-averaging distribution that is a distribution of explanatory variables before averaging corresponding to explanatory variables composing the averaged samples of the training data;
- and
- performing machine learning on a prediction model that predicts an objective variable from an explanatory variable, based on the training data and the pre-averaging distribution.
A non-transitory computer-readable storage medium storing a program, the program comprising instructions for causing a computer to execute processes to:
- acquire training data including averaged samples each obtained by averaging a plurality of samples each composed of a pair of an explanatory variable and an objective variable;
- estimate a pre-averaging distribution that is a distribution of explanatory variables before averaging corresponding to explanatory variables composing the averaged samples of the training data;
- and
- perform machine learning on a prediction model that predicts an objective variable from an explanatory variable, based on the training data and the pre-averaging distribution.
Dependencies are inferred from the claim text.