Class: Spark::Mllib::SparseMatrix
- Inherits:
-
MatrixBase
- Object
- Matrix
- MatrixAdapter
- MatrixBase
- Spark::Mllib::SparseMatrix
- Defined in:
- lib/spark/mllib/matrix.rb
Overview
SparseMatrix
Arguments:
- rows
-
Number of rows.
- cols
-
Number of columns.
- col_pointers
-
The index corresponding to the start of a new column.
- row_indices
-
The row index of the entry. They must be in strictly increasing order for each column.
- values
-
Nonzero matrix entries in column major.
Examples:
SparseMatrix.new(3, 3, [0, 2, 3, 6], [0, 2, 1, 0, 1, 2], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0]).values
# => [
# [1.0, 0.0, 4.0],
# [0.0, 3.0, 5.0],
# [2.0, 0.0, 6.0]
# ]
Instance Attribute Summary collapse
-
#col_pointers ⇒ Object
readonly
Returns the value of attribute col_pointers.
-
#row_indices ⇒ Object
readonly
Returns the value of attribute row_indices.
Instance Method Summary collapse
-
#initialize(rows, cols, col_pointers, row_indices, values) ⇒ SparseMatrix
constructor
A new instance of SparseMatrix.
Methods inherited from MatrixAdapter
new, #original_initialize, #shape, #values
Constructor Details
#initialize(rows, cols, col_pointers, row_indices, values) ⇒ SparseMatrix
Returns a new instance of SparseMatrix.
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# File 'lib/spark/mllib/matrix.rb', line 99 def initialize(rows, cols, col_pointers, row_indices, values) super(:sparse, rows, cols) @col_pointers = col_pointers @row_indices = row_indices @values = values j = 0 while j < cols idx = col_pointers[j] idx_end = col_pointers[j+1] while idx < idx_end self[row_indices[idx], j] = values[idx] idx += 1 end j += 1 end end |
Instance Attribute Details
#col_pointers ⇒ Object (readonly)
Returns the value of attribute col_pointers.
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# File 'lib/spark/mllib/matrix.rb', line 97 def col_pointers @col_pointers end |
#row_indices ⇒ Object (readonly)
Returns the value of attribute row_indices.
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# File 'lib/spark/mllib/matrix.rb', line 97 def row_indices @row_indices end |