מערך נתונים

public init(_handle: VariantHandle)

public init(randomSeed: Int64)

public init(elements: Element)

public typealias Iterator = DatasetIterator<Element>

public func makeIterator() -> DatasetIterator<Element>

public func map<ResultElement: TensorGroup>(
  _ transform: (Element) -> ResultElement
) -> Dataset<ResultElement>

public func map<ResultElement: TensorGroup>(
  parallelCallCount: Int,
  _ transform: (Element) -> ResultElement
) -> Dataset<ResultElement>

public func filter(_ isIncluded: (Element) -> Tensor<Bool>) -> Dataset

public func prefetched(count: Int) -> Dataset

public func shuffled(
  sampleCount: Int,
  randomSeed: Int64,
  reshuffleForEachIterator: Bool = true
) -> Dataset

public func batched(_ batchSize: Int) -> Dataset

public func repeated(count: Int? = nil) -> Dataset