* Trains the model using a dataset object. * * @param dataset A dataset object. Its `iterator()` method is expected * to generate a dataset iterator object, the `next()` method of which * is expected to produce data batches for training. The return value * of the `next()` call o
(dataset: Dataset<T>, args: ModelFitDatasetArgs<T>)
| 1789 | * @doc {heading: 'Models', subheading: 'Classes'} |
| 1790 | */ |
| 1791 | async fitDataset<T>(dataset: Dataset<T>, args: ModelFitDatasetArgs<T>): |
| 1792 | Promise<History> { |
| 1793 | return fitDataset(this, dataset, args); |
| 1794 | } |
| 1795 | |
| 1796 | /** |
| 1797 | * Runs a single gradient update on a single batch of data. |
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