Package vsql_core :: Package utils :: Module low_rank_helper

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Module low_rank_helper

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This is a helper module for the low rank code

Classes

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ReadList

Functions

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double

dot(x, y)
Computes dot products of the given two vectors and returns the dot product value

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scale_and_add(dst, src, s)
This method adds scaled vector to the given other vector

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ball_project(x, B, B2)
This function normalizes given vector if its norm square is greater than the given threshold

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vector

make_random_vec(dim)
Creates random vector with the given dimension

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tuple

make_initial(max_rank, nRows, nCols, B)
Make initial function

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number

get_bucket(nsplits, nrows, row, row_map)
Gets bucket

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split_a_model(nSplits, nRows, L, row_perm)

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split_the_model(nSplits, nRows, nCols, L, R, row_perm, col_perm)

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tablename_prefix(mid, epoch_sign)

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tablename_lmodel(mid, epoch_sign, part)

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tablename_rmodel(mid, epoch_sign, part)

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tablename_data(mid, epoch_sign, part)

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get_l_chunk(nsplits, round, chunk)

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get_r_chunk(nsplits, round, chunk)

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get_part(nsplits, round, chunk)

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build_array_string(v)

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Function Details

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dot(x, y)

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Computes dot products of the given two vectors and returns the dot product value

Parameters:

x (vector) - vector
y (vector) - vector

Returns: double

returns the dot product value of two vectors

scale_and_add(dst, src, s)

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This method adds scaled vector to the given other vector

Parameters:

dst (vector) - dst vector
src (vector) - src vector which will be scaled
s (double) - scale factor

ball_project(x, B, B2)

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This function normalizes given vector if its norm square is greater than the given threshold

Parameters:

x (vector) - given vector to normalized
B (double) - given norm
B2 (double) - norm threshold

make_random_vec(dim)

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Creates random vector with the given dimension

Parameters:

dim (number) - dimension of the random vector

Returns: vector

random vector with the given dim

make_initial(max_rank, nRows, nCols, B)

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Make initial function

Parameters:

max_rank (double) - max rank(dim)
nRows (number) - # of rows
nCols (number) - #of cols
B (double) - B

Returns: tuple

returns L and R

get_bucket(nsplits, nrows, row, row_map)

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Gets bucket

Parameters:

nsplits (number) - splits
nrows (number) - # of rows
row (number) - row index
row_map (vector) - row map

Returns: number

bucket