Method fit

tfjs-layers/src/models.ts:867–877

* Trains the model for a fixed number of epochs (iterations on a dataset). * * ```js * const model = tf.sequential({ * layers: [tf.layers.dense({units: 1, inputShape: [10]})] * }); * model.compile({optimizer: 'sgd', loss: 'meanSquaredError'}); * const history = await model.fit

(
      x: Tensor|Tensor[]|{[inputName: string]: Tensor},
      y: Tensor|Tensor[]|{[inputName: string]: Tensor},
      args: ModelFitArgs = {})

   * @doc {heading: 'Models', subheading: 'Classes'}
   */
  override async fit(
      x: Tensor|Tensor[]|{[inputName: string]: Tensor},
      y: Tensor|Tensor[]|{[inputName: string]: Tensor},
      args: ModelFitArgs = {}): Promise<History> {
    if (!this.built) {
      throw new RuntimeError(
          'The model needs to be compiled before ' +
          'being used.');
    }
    return this.model.fit(x, y, args);
  }

  /**
   * Trains the model using a dataset object.