From 5687d8a9746c73f9a4ad61aa15852c183be981d8 Mon Sep 17 00:00:00 2001
From: Adarsh Santoria <108261986+AdarshSantoria@users.noreply.github.com>
Date: Mon, 6 Feb 2023 10:46:47 +0530
Subject: [PATCH 1/9] Update codes and improve cf doc

---
 doc/tutorials/cf.md | 11 +++++++----
 1 file changed, 7 insertions(+), 4 deletions(-)

diff --git a/doc/tutorials/cf.md b/doc/tutorials/cf.md
index 9452ebfdd0..2efb086e9d 100644
--- a/doc/tutorials/cf.md
+++ b/doc/tutorials/cf.md
@@ -255,7 +255,7 @@ extern size_t rank;
 // Build the CF object and perform the decomposition.
 // The constructor takes a default-constructed factorizer, which, by default,
 // is of type NMFALSFactorizer.
-CF cf(data, NMFALSFactorizer(), neighborhood, rank);
+CFType cf(data, NMFPolicy(), neighborhood, rank);
 
 // Store the results in this object.
 arma::Mat<size_t> recommendations;
@@ -276,6 +276,9 @@ alternating least squares update rules).  These include:
  - `NMFALSFactorizer`
  - `RegularizedSVD`
  - `QUIC_SVD`
+ - `BiasSVD`
+ - `SVDPlusPlus`
+ - `RandomizedSVD`
 
 The `AMF` class has many other possibilities than those listed here; it is a
 framework for alternating matrix factorization techniques.  See the `AMF` class
@@ -297,7 +300,7 @@ extern size_t neighborhood;
 extern size_t rank;
 
 // Build the CF object and perform the decomposition.
-CF cf(data, RegularizedSVD(), neighborhood, rank);
+CFType cf(data, RegSVDPolicy(), neighborhood, rank);
 
 // Store the results in this object.
 arma::Mat<size_t> recommendations;
@@ -330,7 +333,7 @@ extern size_t rank;
 // Build the CF object and perform the decomposition.
 // The constructor takes a default-constructed factorizer, which, by default,
 // is of type NMFALSFactorizer.
-CF cf(data, NMFALSFactorizer(), neighborhood, rank);
+CFType cf(data, NMFPolicy(), neighborhood, rank);
 
 const double prediction = cf.Predict(12, 50); // User 12, item 50.
 ```
@@ -356,7 +359,7 @@ extern size_t rank;
 // Build the CF object and perform the decomposition.
 // The constructor takes a default-constructed factorizer, which, by default,
 // is of type NMFALSFactorizer.
-CF cf(data, NMFALSFactorizer(), neighborhood, rank);
+CFType cf(data, NMFPolicy(), neighborhood, rank);
 
 // References to W and H matrices.
 const arma::mat& W = cf.W();

From 0b9b1d483f1c0caf8c01f4ed0929933391e924e6 Mon Sep 17 00:00:00 2001
From: Adarsh Santoria <108261986+AdarshSantoria@users.noreply.github.com>
Date: Mon, 6 Feb 2023 10:52:47 +0530
Subject: [PATCH 2/9] Update codes in datasetmapper.md

---
 doc/tutorials/datasetmapper.md | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/doc/tutorials/datasetmapper.md b/doc/tutorials/datasetmapper.md
index a841071216..a94854568a 100644
--- a/doc/tutorials/datasetmapper.md
+++ b/doc/tutorials/datasetmapper.md
@@ -43,7 +43,7 @@ function.
 using namespace mlpack;
 
 arma::mat data;
-data::DatasetMapper info;
+data::DatasetInfo info;
 data::Load("dataset.csv", data, info);
 ```
 
@@ -155,8 +155,8 @@ std::cout << info.UnmapString(1, 2) << "\n";
 This will print:
 
 ```
-T
-F
+True
+False
 ```
 
 ### `UnmapValue()`
@@ -168,8 +168,8 @@ The `UnmapValue()` function has the signature `UnmapValue(const std::string
   - `dimension` is the dimension in which you want to find the mapped value
 
 ```c++
-std::cout << info.UnmapValue("T", 2) << "\n";
-std::cout << info.UnmapValue("F", 2) << "\n";
+std::cout << info.UnmapValue("True", 2) << "\n";
+std::cout << info.UnmapValue("False", 2) << "\n";
 ```
 
 will produce:

From 2a3f3e69d1051d47743e8972f27e22903a5a40de Mon Sep 17 00:00:00 2001
From: Adarsh Santoria <108261986+AdarshSantoria@users.noreply.github.com>
Date: Tue, 7 Feb 2023 19:12:27 +0530
Subject: [PATCH 3/9] CFType to CF

Change inorder to make CF typedef from CFType
---
 doc/tutorials/cf.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/doc/tutorials/cf.md b/doc/tutorials/cf.md
index 2efb086e9d..397f5708da 100644
--- a/doc/tutorials/cf.md
+++ b/doc/tutorials/cf.md
@@ -255,7 +255,7 @@ extern size_t rank;
 // Build the CF object and perform the decomposition.
 // The constructor takes a default-constructed factorizer, which, by default,
 // is of type NMFALSFactorizer.
-CFType cf(data, NMFPolicy(), neighborhood, rank);
+CF cf(data, NMFPolicy(), neighborhood, rank);
 
 // Store the results in this object.
 arma::Mat<size_t> recommendations;
@@ -300,7 +300,7 @@ extern size_t neighborhood;
 extern size_t rank;
 
 // Build the CF object and perform the decomposition.
-CFType cf(data, RegSVDPolicy(), neighborhood, rank);
+CF cf(data, RegSVDPolicy(), neighborhood, rank);
 
 // Store the results in this object.
 arma::Mat<size_t> recommendations;
@@ -333,7 +333,7 @@ extern size_t rank;
 // Build the CF object and perform the decomposition.
 // The constructor takes a default-constructed factorizer, which, by default,
 // is of type NMFALSFactorizer.
-CFType cf(data, NMFPolicy(), neighborhood, rank);
+CF cf(data, NMFPolicy(), neighborhood, rank);
 
 const double prediction = cf.Predict(12, 50); // User 12, item 50.
 ```
@@ -359,7 +359,7 @@ extern size_t rank;
 // Build the CF object and perform the decomposition.
 // The constructor takes a default-constructed factorizer, which, by default,
 // is of type NMFALSFactorizer.
-CFType cf(data, NMFPolicy(), neighborhood, rank);
+CF cf(data, NMFPolicy(), neighborhood, rank);
 
 // References to W and H matrices.
 const arma::mat& W = cf.W();

From 50c797a9b1151f025b1850ef54c29ea47ce75005 Mon Sep 17 00:00:00 2001
From: Adarsh Santoria <108261986+AdarshSantoria@users.noreply.github.com>
Date: Tue, 7 Feb 2023 19:29:32 +0530
Subject: [PATCH 4/9] typedef CF to CFType

---
 src/mlpack/methods/cf/cf.hpp | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/src/mlpack/methods/cf/cf.hpp b/src/mlpack/methods/cf/cf.hpp
index 90bcb80338..6efb558d12 100644
--- a/src/mlpack/methods/cf/cf.hpp
+++ b/src/mlpack/methods/cf/cf.hpp
@@ -283,6 +283,8 @@ class CFType
   };
 }; // class CFType
 
+typedef CFType<> CF;
+
 } // namespace mlpack
 
 // Include implementation of templated functions.

From 58df0e6908cef80931dca3a3aa4a20afaa39cd05 Mon Sep 17 00:00:00 2001
From: Adarsh Santoria <108261986+AdarshSantoria@users.noreply.github.com>
Date: Thu, 9 Feb 2023 14:05:11 +0530
Subject: [PATCH 5/9] default set only for NMFPolicy

---
 doc/tutorials/cf.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc/tutorials/cf.md b/doc/tutorials/cf.md
index 397f5708da..8a932d0df5 100644
--- a/doc/tutorials/cf.md
+++ b/doc/tutorials/cf.md
@@ -300,7 +300,7 @@ extern size_t neighborhood;
 extern size_t rank;
 
 // Build the CF object and perform the decomposition.
-CF cf(data, RegSVDPolicy(), neighborhood, rank);
+CFType cf(data, RegSVDPolicy(), neighborhood, rank);
 
 // Store the results in this object.
 arma::Mat<size_t> recommendations;

From 7a6c51615b2c6ed041ddc0a48e5e27eca4d75c99 Mon Sep 17 00:00:00 2001
From: Adarsh Santoria <108261986+AdarshSantoria@users.noreply.github.com>
Date: Fri, 10 Feb 2023 01:30:52 +0530
Subject: [PATCH 6/9] Change factorizers names to what's used in code

---
 doc/tutorials/cf.md | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

diff --git a/doc/tutorials/cf.md b/doc/tutorials/cf.md
index 8a932d0df5..8cb821c7cd 100644
--- a/doc/tutorials/cf.md
+++ b/doc/tutorials/cf.md
@@ -270,15 +270,15 @@ mlpack provides a number of existing factorizers which can be used in place of
 the default `NMFALSFactorizer` (which is non-negative matrix factorization with
 alternating least squares update rules).  These include:
 
- - `SVDBatchFactorizer`
- - `SVDCompleteIncrementalFactorizer`
- - `SVDIncompleteIncrementalFactorizer`
- - `NMFALSFactorizer`
- - `RegularizedSVD`
- - `QUIC_SVD`
- - `BiasSVD`
- - `SVDPlusPlus`
- - `RandomizedSVD`
+ - `BatchSVDPolicy`
+ - `SVDCompletePolicy`
+ - `SVDIncompletePolicy`
+ - `NMFPolicy`
+ - `RegSVDPolicy`
+ - `QUIC_SVDPolicy`
+ - `BiasSVDPolicy`
+ - `SVDPlusPlusPolicy`
+ - `RandomizedSVDPolicy`
 
 The `AMF` class has many other possibilities than those listed here; it is a
 framework for alternating matrix factorization techniques.  See the `AMF` class

From c26e762a57ce300079ad548eba0872406292fd8d Mon Sep 17 00:00:00 2001
From: Adarsh Santoria <108261986+AdarshSantoria@users.noreply.github.com>
Date: Fri, 10 Feb 2023 01:33:08 +0530
Subject: [PATCH 7/9] Change factorizers names to it's corresponding

---
 doc/tutorials/cf.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc/tutorials/cf.md b/doc/tutorials/cf.md
index 8cb821c7cd..aa3c4fb57e 100644
--- a/doc/tutorials/cf.md
+++ b/doc/tutorials/cf.md
@@ -275,7 +275,7 @@ alternating least squares update rules).  These include:
  - `SVDIncompletePolicy`
  - `NMFPolicy`
  - `RegSVDPolicy`
- - `QUIC_SVDPolicy`
+ - `QuicSVDPolicy`
  - `BiasSVDPolicy`
  - `SVDPlusPlusPolicy`
  - `RandomizedSVDPolicy`

From fcab7355f6d1e154784f89e2a62595a97b69635e Mon Sep 17 00:00:00 2001
From: Adarsh Santoria <108261986+AdarshSantoria@users.noreply.github.com>
Date: Fri, 10 Feb 2023 21:09:27 +0530
Subject: [PATCH 8/9] Update HISTORY.md

---
 HISTORY.md | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/HISTORY.md b/HISTORY.md
index 5abe54ee22..f7d8b9fd17 100644
--- a/HISTORY.md
+++ b/HISTORY.md
@@ -1,5 +1,8 @@
 ### mlpack ?.?.?
 ###### ????-??-??
+
+  * Update outdated codes in cf.md and datasetmapper.md (#3398).
+
   * Bugfix for non-square convolution kernels (#3376).
 
   * Fix a few missing includes in `<mlpack.hpp>` (#3374).

From e0c7866dd34fe8fdb719e966de8a40ae18e4ea7b Mon Sep 17 00:00:00 2001
From: Adarsh Santoria <108261986+AdarshSantoria@users.noreply.github.com>
Date: Sat, 11 Feb 2023 22:31:11 +0530
Subject: [PATCH 9/9] Update HISTORY.md

Co-authored-by: Ryan Curtin <ryan@ratml.org>
---
 HISTORY.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/HISTORY.md b/HISTORY.md
index f7d8b9fd17..aa5162ad1e 100644
--- a/HISTORY.md
+++ b/HISTORY.md
@@ -1,7 +1,7 @@
 ### mlpack ?.?.?
 ###### ????-??-??
 
-  * Update outdated codes in cf.md and datasetmapper.md (#3398).
+  * Update outdated code in tutorials (#3398).
 
   * Bugfix for non-square convolution kernels (#3376).