External module "node_modules/@modelx/model/src/model_interface"

data: () => Promise<Vector>

• • (): Promise<Vector>

  • Returns Promise<Vector>

Optional activation?: string

Optional batchInputShape?: any

Optional inputDim?: number

Optional inputShape?: any

Optional kernelInitializer?: string

Optional kernelRegularizer?: any

Optional returnSequences?: boolean

units: number

loss: number

Optional json?: boolean

Optional probability?: boolean

Optional skip_matrix_check?: boolean

Optional compile?: { loss?: string; optimizer?: string }

• Optional loss?: string

• Optional optimizer?: string

Optional features?: number

Optional fit?: { batchSize?: number; callbacks?: { onBatchBegin?: (batch: number, logs: EpochLog) => void; onBatchEnd?: (batch: number, logs: EpochLog) => void; onEpochBegin?: (epoch: number, logs: EpochLog) => void; onEpochEnd?: (epoch: number, logs: EpochLog) => void; onTrainBegin?: (logs: EpochLog) => void; onTrainEnd?: (logs: EpochLog) => void; onYield?: (epoch: number, batch: number, logs: EpochLog) => void }; epochs?: number; shuffle?: boolean; validationData?: [Matrix, Matrix]; validation_data?: [Matrix, Matrix]; verbose?: number }

• Optional batchSize?: number

• Optional callbacks?: { onBatchBegin?: (batch: number, logs: EpochLog) => void; onBatchEnd?: (batch: number, logs: EpochLog) => void; onEpochBegin?: (epoch: number, logs: EpochLog) => void; onEpochEnd?: (epoch: number, logs: EpochLog) => void; onTrainBegin?: (logs: EpochLog) => void; onTrainEnd?: (logs: EpochLog) => void; onYield?: (epoch: number, batch: number, logs: EpochLog) => void }

  • Optional onBatchBegin?: (batch: number, logs: EpochLog) => void

    • • (batch: number, logs: EpochLog): void

      • Parameters

        • batch: number

        • logs: EpochLog

        Returns void

  • Optional onBatchEnd?: (batch: number, logs: EpochLog) => void

    • • (batch: number, logs: EpochLog): void

      • Parameters

        • batch: number

        • logs: EpochLog

        Returns void

  • Optional onEpochBegin?: (epoch: number, logs: EpochLog) => void

    • • (epoch: number, logs: EpochLog): void

      • Parameters

        • epoch: number

        • logs: EpochLog

        Returns void

  • Optional onEpochEnd?: (epoch: number, logs: EpochLog) => void

    • • (epoch: number, logs: EpochLog): void

      • Parameters

        • epoch: number

        • logs: EpochLog

        Returns void

  • Optional onTrainBegin?: (logs: EpochLog) => void

    • • (logs: EpochLog): void

      • Parameters

        • logs: EpochLog

        Returns void

  • Optional onTrainEnd?: (logs: EpochLog) => void

    • • (logs: EpochLog): void

      • Parameters

        • logs: EpochLog

        Returns void

  • Optional onYield?: (epoch: number, batch: number, logs: EpochLog) => void

    • • (epoch: number, batch: number, logs: EpochLog): void

      • Parameters

        • epoch: number

        • batch: number

        • logs: EpochLog

        Returns void

• Optional epochs?: number

• Optional shuffle?: boolean

• Optional validationData?: [Matrix, Matrix]

• Optional validation_data?: [Matrix, Matrix]

• Optional verbose?: number

Optional layerPreference?: string

Optional layers?: TensorScriptLayers | TensorScriptSavedLayers

Optional learningRate?: number

Optional lookback?: number

Optional mulitpleTimeSteps?: boolean

Optional outputs?: number

Optional stateful?: boolean

Optional timeSteps?: number

Optional type?: string

Optional model?: any

Optional tf?: any

Optional denseLayers?: DenseLayer[]

Optional lstmLayers?: DenseLayer[]

Optional rnnLayers?: DenseLayer[]