Method evaluateDataset

tfjs-layers/src/engine/training.ts:888–892

* Evaluate model using a dataset object. * * Note: Unlike `evaluate()`, this method is asynchronous (`async`). * * @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

(dataset: Dataset<{}>, args?: ModelEvaluateDatasetArgs)

   * @doc {heading: 'Models', subheading: 'Classes'}
   */
  async evaluateDataset(dataset: Dataset<{}>, args?: ModelEvaluateDatasetArgs):
      Promise<Scalar|Scalar[]> {
    this.makeTestFunction();
    return evaluateDataset(this, dataset, args);
  }

  /**
   * Get number of samples provided for training, evaluation or prediction.