object

truncated_svd_projection

Truncated singular value decomposition reducer for continuous datasets using a portable two-sided power-iteration solver over the data matrix.

Availability:

logtalk_load(truncated_svd_projection(loader))

Author: Paulo Moura

Version: 1:0:0

Date: 2026-05-07

Compilation flags:

static, context_switching_calls

Imports:

public dimension_reducer_common

Uses:

format

linear_algebra

list

numberlist

pairs

population

type

Remarks:

(none)

Inherited public predicates:

 check_dimension_reducer/1  check_option/1  check_options/1  default_option/1  default_options/1  diagnostic/2  diagnostics/2  dimension_reducer_options/2  export_to_clauses/4  export_to_file/4  learn/2  option/2  option/3  print_dimension_reducer/1  transform/3  valid_dimension_reducer/1  valid_option/1  valid_options/1

Public predicates

learn/3

Learns a truncated singular value decomposition reducer from the given dataset object using the specified options.

Compilation flags:

static

Template:

learn(Dataset,DimensionReducer,Options)

Mode and number of proofs:

learn(+object_identifier,-compound,+list(compound)) - one

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Protected predicates

(no local declarations; see entity ancestors if any)

Private predicates

(no local declarations; see entity ancestors if any)

Operators

(none)

See also

pca_projection, random_projection