Class Autoencoder

constructor

• new Autoencoder(
      input_size: number,
      reduce_size: number,
      enc_layers: LayerObject[],
      dec_layers: LayerObject[],
      optimizer: string,
  ): Autoencoder

  Parameters

  • input_size: number

    Input size
  • reduce_size: number

    Reduced dimension
  • enc_layers: LayerObject[]

    Layers of encoder
  • dec_layers: LayerObject[]

    Layers of decoder
  • optimizer: string

    Optimizer of the network

  Returns Autoencoder

_epoch

_input_size

_layers

_model

epoch

• get epoch(): number

  Epoch

  Returns number

fit

• fit(
      train_x: number[][],
      iteration: number,
      rate: number,
      batch: number,
      rho: number,
  ): number

  Fit model.

  Parameters

  • train_x: number[][]

    Training data
  • iteration: number

    Iteration count
  • rate: number

    Learning rate
  • batch: number

    Batch size
  • rho: number

    Sparsity parameter

  Returns number

  Loss value

predict

• predict(x: number[][]): number[][]

  Returns predicted datas.

  Parameters

  • x: number[][]

    Sample data

  Returns number[][]

  Predicted values

reduce

• reduce(x: number[][]): number[][]

  Returns reduced datas.

  Parameters

  • x: number[][]

    Sample data

  Returns number[][]

  Predicted values