org.apache.mxnet

SparseNDArray

Related Docs: class SparseNDArray | package mxnet

object SparseNDArray

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  6. def csrMatrix(data: Array[Float], indices: Array[Float], indptr: Array[Float], shape: Shape, ctx: Context): SparseNDArray

    Create a Compressed Sparse Row Storage (CSR) Format Matrix

    Create a Compressed Sparse Row Storage (CSR) Format Matrix

    data

    the data to feed

    indices

    The indices array stores the column index for each non-zero element in data

    indptr

    The indptr array is what will help identify the rows where the data appears

    shape

    the shape of CSR NDArray to be created

    ctx

    the context of this NDArray

    returns

    SparseNDArray

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  16. def retain(sparseNDArray: SparseNDArray, indices: Array[Float]): SparseNDArray

  17. def rowSparseArray(data: NDArray, indices: NDArray, shape: Shape, ctx: Context): SparseNDArray

    RowSparseNDArray stores the matrix in row sparse format, which is designed for arrays of which most row slices are all zeros

    RowSparseNDArray stores the matrix in row sparse format, which is designed for arrays of which most row slices are all zeros

    data

    NDArray input

    indices

    in NDArray. Only DType.Int64 supported

    shape

    shape of the NDArray

    ctx

    Context

    returns

  18. def rowSparseArray(data: Array[_], indices: Array[Float], shape: Shape, ctx: Context): SparseNDArray

    RowSparseNDArray stores the matrix in row sparse format, which is designed for arrays of which most row slices are all zeros

    RowSparseNDArray stores the matrix in row sparse format, which is designed for arrays of which most row slices are all zeros

    data

    Any Array(Array(... Array(Float)))

    indices

    the indices to store the data

    shape

    shape of the NDArray

    ctx

    Context

    returns

    SparseNDArray

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