.. index:: single: truncated_svd_projection
.. _truncated_svd_projection/0:

.. rst-class:: right

**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`` :ref:`dimension_reducer_common <dimension_reducer_common/0>`
| **Uses:**
|    :ref:`format <format/0>`
|    :ref:`linear_algebra <linear_algebra/0>`
|    :ref:`list <list/0>`
|    :ref:`numberlist <numberlist/0>`
|    :ref:`pairs <pairs/0>`
|    :ref:`population <population/0>`
|    :ref:`type <type/0>`

| **Remarks:**
|    (none)

| **Inherited public predicates:**
|     :ref:`dimension_reducer_protocol/0::check_dimension_reducer/1`  :ref:`options_protocol/0::check_option/1`  :ref:`options_protocol/0::check_options/1`  :ref:`options_protocol/0::default_option/1`  :ref:`options_protocol/0::default_options/1`  :ref:`dimension_reducer_protocol/0::diagnostic/2`  :ref:`dimension_reducer_protocol/0::diagnostics/2`  :ref:`dimension_reducer_protocol/0::dimension_reducer_options/2`  :ref:`dimension_reducer_protocol/0::export_to_clauses/4`  :ref:`dimension_reducer_protocol/0::export_to_file/4`  :ref:`dimension_reducer_protocol/0::learn/2`  :ref:`options_protocol/0::option/2`  :ref:`options_protocol/0::option/3`  :ref:`dimension_reducer_protocol/0::print_dimension_reducer/1`  :ref:`dimension_reducer_protocol/0::transform/3`  :ref:`dimension_reducer_protocol/0::valid_dimension_reducer/1`  :ref:`options_protocol/0::valid_option/1`  :ref:`options_protocol/0::valid_options/1`  

.. contents::
   :local:
   :backlinks: top

Public predicates
-----------------

.. index:: learn/3
.. _truncated_svd_projection/0::learn/3:

``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``


------------

Protected predicates
--------------------

(no local declarations; see entity ancestors if any)

Private predicates
------------------

(no local declarations; see entity ancestors if any)

Operators
---------

(none)

.. seealso::

   :ref:`pca_projection <pca_projection/0>`, :ref:`random_projection <random_projection/0>`