Function createDenseModelAndData

tfjs-layers/src/engine/training_test.ts:567–578

(
      useBias = false,
      kernelRegularizer?: string|Regularizer,
      biasRegularizer?: string|Regularizer,
      )

  let targets2: Tensor;

  function createDenseModelAndData(
      useBias = false,
      kernelRegularizer?: string|Regularizer,
      biasRegularizer?: string|Regularizer,
      ): void {
    const layer = tfl.layers.dense(
        {units: 1, useBias, kernelInitializer: 'ones', kernelRegularizer});
    const output = layer.apply(inputTensor) as tfl.SymbolicTensor;
    model = new tfl.LayersModel({inputs: [inputTensor], outputs: [output]});
    inputs = ones([numSamples, inputSize]);
    targets = ones([numSamples, 1]);
  }

  function createDenseCategoricalModelAndData(useBias = false): void {
    const layer =