TRAINING DEVICE, TRAINING METHOD, AND TRAINING PROGRAM
A generation unit learns data selected as unlearned data among learning data and generates a model calculating an anomaly score. A selection unit selects, as unlearned data, at least some of data in which an anomaly score calculated by the model generated by the generation unit is equal to or greater than a threshold among the learning data.
1 . A training device comprising:
processing circuitry configured to:
learn data selected as unlearned data among learning data and generate a model calculating an anomaly score; and
select, as the unlearned data, at least some of data in which an anomaly score calculated by the model is equal to or greater than a threshold among the learning data.
2 . The learning training device according to claim 1 ,
wherein, the processing circuitry is further configured to whenever the selecting selects the data as the unlearned data, learn the selected data and generates a model calculating the anomaly score, and
whenever the generating generates the model, select, as the unlearned data, at least some of data in which an anomaly score calculated by the generated model is equal to or greater than a threshold.
3 . The training device according to claim 1 , wherein the processing circuitry is further configured to select, as the unlearned data, at least some of data in which the anomaly score calculated by the model is equal to or larger than the threshold calculated based on a loss value of each piece of data obtained at the time of generation of the model among the learning data.
4 . The training device according to claim 1 , wherein the processing circuitry is further configured to select, as the unlearned data, at least some of data in which the anomaly score calculated by the model is equal to or larger than the threshold among the learning data when the number of pieces of the learning data in which the anomaly score is equal to or larger than the threshold satisfies a predetermined condition.
5 . A training method executed by a training device, the method comprising:
learning data selected as unlearned data among learning data and generating a model calculating an anomaly score; and
selecting, as the unlearned data, at least some of data in which an anomaly score calculated by the model is equal to or greater than a threshold among the learning data.
6 . A non-transitory computer-readable recording medium storing therein a training program that causes a computer to execute a process comprising:
learning data selected as unlearned data among learning data and generating a model calculating an anomaly score; and
selecting, as the unlearned data, at least some of data in which an anomaly score calculated by the model is equal to or greater than a threshold among the learning data.