Tag 'logistic regression'

Author: glebbelov

authors/glebbelov/conic/logistic_regression.ipynb

@@ -11,7 +11,7 @@
         "\n",
         "Description: Logistic regression with amplpy using exponential cones\n",
         "\n",
-        "Tags: highlights, amplpy, regression, sigmoid, softplus, log-sum-exp, classifier, regularization, machine learning, conic, exponential cone, second-order cone, quadratic cone, formulation comparison\n",
+        "Tags: highlights, amplpy, logistic regression, regression, sigmoid, softplus, log-sum-exp, classifier, regularization, machine learning, conic, exponential cone, second-order cone, quadratic cone, formulation comparison\n",
         "\n",
         "Notebook author: Gleb Belov <<[email protected]>>, Filipe Brandão <<[email protected]>>\n",
         "\n",
@@ -1508,7 +1508,7 @@
         "id": "WVqiAEgp0qvs"
       },
       "source": [
-        "## Evaluate perfornace the optimal $\\theta$ for each lambda on the test set"
+        "## Evaluate performance of the optimal $\\theta$ for each lambda on the test set"
       ]
     },
     {

docs/source/authors/fdabrandao_at_gmail.com.rst

@@ -162,7 +162,7 @@ Logistic Regression with amplpy
 | `Notebooks <../notebooks/index.html>`_ > `Logistic Regression with amplpy <../notebooks/logistic-regression-with-amplpy.html>`_
 | |github-logistic-regression-with-amplpy| |colab-logistic-regression-with-amplpy| |deepnote-logistic-regression-with-amplpy| |kaggle-logistic-regression-with-amplpy| |gradient-logistic-regression-with-amplpy| |sagemaker-logistic-regression-with-amplpy|
 | Description: Logistic regression with amplpy using exponential cones
-| Tags: :ref:`tag-highlights`, :ref:`tag-amplpy`, :ref:`tag-regression`, :ref:`tag-sigmoid`, :ref:`tag-softplus`, :ref:`tag-log-sum-exp`, :ref:`tag-classifier`, :ref:`tag-regularization`, :ref:`tag-machine-learning`, :ref:`tag-conic`, :ref:`tag-exponential-cone`, :ref:`tag-second-order-cone`, :ref:`tag-quadratic-cone`, :ref:`tag-formulation-comparison`
+| Tags: :ref:`tag-highlights`, :ref:`tag-amplpy`, :ref:`tag-logistic-regression`, :ref:`tag-regression`, :ref:`tag-sigmoid`, :ref:`tag-softplus`, :ref:`tag-log-sum-exp`, :ref:`tag-classifier`, :ref:`tag-regularization`, :ref:`tag-machine-learning`, :ref:`tag-conic`, :ref:`tag-exponential-cone`, :ref:`tag-second-order-cone`, :ref:`tag-quadratic-cone`, :ref:`tag-formulation-comparison`
 | Author: :ref:`email-gleb_at_ampl.com` <[email protected]>, :ref:`email-fdabrandao_at_gmail.com` <[email protected]>
 
 .. |github-logistic-regression-with-amplpy|  image:: https://img.shields.io/badge/github-%23121011.svg?logo=github

docs/source/authors/gleb_at_ampl.com.rst

@@ -110,7 +110,7 @@ Logistic Regression with amplpy
 | `Notebooks <../notebooks/index.html>`_ > `Logistic Regression with amplpy <../notebooks/logistic-regression-with-amplpy.html>`_
 | |github-logistic-regression-with-amplpy| |colab-logistic-regression-with-amplpy| |deepnote-logistic-regression-with-amplpy| |kaggle-logistic-regression-with-amplpy| |gradient-logistic-regression-with-amplpy| |sagemaker-logistic-regression-with-amplpy|
 | Description: Logistic regression with amplpy using exponential cones
-| Tags: :ref:`tag-highlights`, :ref:`tag-amplpy`, :ref:`tag-regression`, :ref:`tag-sigmoid`, :ref:`tag-softplus`, :ref:`tag-log-sum-exp`, :ref:`tag-classifier`, :ref:`tag-regularization`, :ref:`tag-machine-learning`, :ref:`tag-conic`, :ref:`tag-exponential-cone`, :ref:`tag-second-order-cone`, :ref:`tag-quadratic-cone`, :ref:`tag-formulation-comparison`
+| Tags: :ref:`tag-highlights`, :ref:`tag-amplpy`, :ref:`tag-logistic-regression`, :ref:`tag-regression`, :ref:`tag-sigmoid`, :ref:`tag-softplus`, :ref:`tag-log-sum-exp`, :ref:`tag-classifier`, :ref:`tag-regularization`, :ref:`tag-machine-learning`, :ref:`tag-conic`, :ref:`tag-exponential-cone`, :ref:`tag-second-order-cone`, :ref:`tag-quadratic-cone`, :ref:`tag-formulation-comparison`
 | Author: :ref:`email-gleb_at_ampl.com` <[email protected]>, :ref:`email-fdabrandao_at_gmail.com` <[email protected]>
 
 .. |github-logistic-regression-with-amplpy|  image:: https://img.shields.io/badge/github-%23121011.svg?logo=github

docs/source/index.rst

@@ -1615,7 +1615,7 @@ Logistic Regression with amplpy
 | `Notebooks <notebooks/index.html>`_ > `Logistic Regression with amplpy <notebooks/logistic-regression-with-amplpy.html>`_
 | |github-logistic-regression-with-amplpy| |colab-logistic-regression-with-amplpy| |deepnote-logistic-regression-with-amplpy| |kaggle-logistic-regression-with-amplpy| |gradient-logistic-regression-with-amplpy| |sagemaker-logistic-regression-with-amplpy|
 | Description: Logistic regression with amplpy using exponential cones
-| Tags: :ref:`tag-highlights`, :ref:`tag-amplpy`, :ref:`tag-regression`, :ref:`tag-sigmoid`, :ref:`tag-softplus`, :ref:`tag-log-sum-exp`, :ref:`tag-classifier`, :ref:`tag-regularization`, :ref:`tag-machine-learning`, :ref:`tag-conic`, :ref:`tag-exponential-cone`, :ref:`tag-second-order-cone`, :ref:`tag-quadratic-cone`, :ref:`tag-formulation-comparison`
+| Tags: :ref:`tag-highlights`, :ref:`tag-amplpy`, :ref:`tag-logistic-regression`, :ref:`tag-regression`, :ref:`tag-sigmoid`, :ref:`tag-softplus`, :ref:`tag-log-sum-exp`, :ref:`tag-classifier`, :ref:`tag-regularization`, :ref:`tag-machine-learning`, :ref:`tag-conic`, :ref:`tag-exponential-cone`, :ref:`tag-second-order-cone`, :ref:`tag-quadratic-cone`, :ref:`tag-formulation-comparison`
 | Author: :ref:`email-gleb_at_ampl.com` <[email protected]>, :ref:`email-fdabrandao_at_gmail.com` <[email protected]>
 
 .. |github-logistic-regression-with-amplpy|  image:: https://img.shields.io/badge/github-%23121011.svg?logo=github

docs/source/modules/coin.rst

@@ -366,7 +366,7 @@ Logistic Regression with amplpy
 | `Notebooks <../notebooks/index.html>`_ > `Logistic Regression with amplpy <../notebooks/logistic-regression-with-amplpy.html>`_
 | |github-logistic-regression-with-amplpy| |colab-logistic-regression-with-amplpy| |deepnote-logistic-regression-with-amplpy| |kaggle-logistic-regression-with-amplpy| |gradient-logistic-regression-with-amplpy| |sagemaker-logistic-regression-with-amplpy|
 | Description: Logistic regression with amplpy using exponential cones
-| Tags: :ref:`tag-highlights`, :ref:`tag-amplpy`, :ref:`tag-regression`, :ref:`tag-sigmoid`, :ref:`tag-softplus`, :ref:`tag-log-sum-exp`, :ref:`tag-classifier`, :ref:`tag-regularization`, :ref:`tag-machine-learning`, :ref:`tag-conic`, :ref:`tag-exponential-cone`, :ref:`tag-second-order-cone`, :ref:`tag-quadratic-cone`, :ref:`tag-formulation-comparison`
+| Tags: :ref:`tag-highlights`, :ref:`tag-amplpy`, :ref:`tag-logistic-regression`, :ref:`tag-regression`, :ref:`tag-sigmoid`, :ref:`tag-softplus`, :ref:`tag-log-sum-exp`, :ref:`tag-classifier`, :ref:`tag-regularization`, :ref:`tag-machine-learning`, :ref:`tag-conic`, :ref:`tag-exponential-cone`, :ref:`tag-second-order-cone`, :ref:`tag-quadratic-cone`, :ref:`tag-formulation-comparison`
 | Author: :ref:`email-gleb_at_ampl.com` <[email protected]>, :ref:`email-fdabrandao_at_gmail.com` <[email protected]>
 
 .. |github-logistic-regression-with-amplpy|  image:: https://img.shields.io/badge/github-%23121011.svg?logo=github

docs/source/modules/mosek.rst

@@ -42,7 +42,7 @@ Logistic Regression with amplpy
 | `Notebooks <../notebooks/index.html>`_ > `Logistic Regression with amplpy <../notebooks/logistic-regression-with-amplpy.html>`_
 | |github-logistic-regression-with-amplpy| |colab-logistic-regression-with-amplpy| |deepnote-logistic-regression-with-amplpy| |kaggle-logistic-regression-with-amplpy| |gradient-logistic-regression-with-amplpy| |sagemaker-logistic-regression-with-amplpy|
 | Description: Logistic regression with amplpy using exponential cones
-| Tags: :ref:`tag-highlights`, :ref:`tag-amplpy`, :ref:`tag-regression`, :ref:`tag-sigmoid`, :ref:`tag-softplus`, :ref:`tag-log-sum-exp`, :ref:`tag-classifier`, :ref:`tag-regularization`, :ref:`tag-machine-learning`, :ref:`tag-conic`, :ref:`tag-exponential-cone`, :ref:`tag-second-order-cone`, :ref:`tag-quadratic-cone`, :ref:`tag-formulation-comparison`
+| Tags: :ref:`tag-highlights`, :ref:`tag-amplpy`, :ref:`tag-logistic-regression`, :ref:`tag-regression`, :ref:`tag-sigmoid`, :ref:`tag-softplus`, :ref:`tag-log-sum-exp`, :ref:`tag-classifier`, :ref:`tag-regularization`, :ref:`tag-machine-learning`, :ref:`tag-conic`, :ref:`tag-exponential-cone`, :ref:`tag-second-order-cone`, :ref:`tag-quadratic-cone`, :ref:`tag-formulation-comparison`
 | Author: :ref:`email-gleb_at_ampl.com` <[email protected]>, :ref:`email-fdabrandao_at_gmail.com` <[email protected]>
 
 .. |github-logistic-regression-with-amplpy|  image:: https://img.shields.io/badge/github-%23121011.svg?logo=github

docs/source/tags/amplpy.rst

@@ -1029,7 +1029,7 @@ Logistic Regression with amplpy
 | `Notebooks <../notebooks/index.html>`_ > `Logistic Regression with amplpy <../notebooks/logistic-regression-with-amplpy.html>`_
 | |github-logistic-regression-with-amplpy| |colab-logistic-regression-with-amplpy| |deepnote-logistic-regression-with-amplpy| |kaggle-logistic-regression-with-amplpy| |gradient-logistic-regression-with-amplpy| |sagemaker-logistic-regression-with-amplpy|
 | Description: Logistic regression with amplpy using exponential cones
-| Tags: :ref:`tag-highlights`, :ref:`tag-amplpy`, :ref:`tag-regression`, :ref:`tag-sigmoid`, :ref:`tag-softplus`, :ref:`tag-log-sum-exp`, :ref:`tag-classifier`, :ref:`tag-regularization`, :ref:`tag-machine-learning`, :ref:`tag-conic`, :ref:`tag-exponential-cone`, :ref:`tag-second-order-cone`, :ref:`tag-quadratic-cone`, :ref:`tag-formulation-comparison`
+| Tags: :ref:`tag-highlights`, :ref:`tag-amplpy`, :ref:`tag-logistic-regression`, :ref:`tag-regression`, :ref:`tag-sigmoid`, :ref:`tag-softplus`, :ref:`tag-log-sum-exp`, :ref:`tag-classifier`, :ref:`tag-regularization`, :ref:`tag-machine-learning`, :ref:`tag-conic`, :ref:`tag-exponential-cone`, :ref:`tag-second-order-cone`, :ref:`tag-quadratic-cone`, :ref:`tag-formulation-comparison`
 | Author: :ref:`email-gleb_at_ampl.com` <[email protected]>, :ref:`email-fdabrandao_at_gmail.com` <[email protected]>
 
 .. |github-logistic-regression-with-amplpy|  image:: https://img.shields.io/badge/github-%23121011.svg?logo=github

docs/source/tags/classifier.rst

@@ -8,7 +8,7 @@ Logistic Regression with amplpy
 | `Notebooks <../notebooks/index.html>`_ > `Logistic Regression with amplpy <../notebooks/logistic-regression-with-amplpy.html>`_
 | |github-logistic-regression-with-amplpy| |colab-logistic-regression-with-amplpy| |deepnote-logistic-regression-with-amplpy| |kaggle-logistic-regression-with-amplpy| |gradient-logistic-regression-with-amplpy| |sagemaker-logistic-regression-with-amplpy|
 | Description: Logistic regression with amplpy using exponential cones
-| Tags: :ref:`tag-highlights`, :ref:`tag-amplpy`, :ref:`tag-regression`, :ref:`tag-sigmoid`, :ref:`tag-softplus`, :ref:`tag-log-sum-exp`, :ref:`tag-classifier`, :ref:`tag-regularization`, :ref:`tag-machine-learning`, :ref:`tag-conic`, :ref:`tag-exponential-cone`, :ref:`tag-second-order-cone`, :ref:`tag-quadratic-cone`, :ref:`tag-formulation-comparison`
+| Tags: :ref:`tag-highlights`, :ref:`tag-amplpy`, :ref:`tag-logistic-regression`, :ref:`tag-regression`, :ref:`tag-sigmoid`, :ref:`tag-softplus`, :ref:`tag-log-sum-exp`, :ref:`tag-classifier`, :ref:`tag-regularization`, :ref:`tag-machine-learning`, :ref:`tag-conic`, :ref:`tag-exponential-cone`, :ref:`tag-second-order-cone`, :ref:`tag-quadratic-cone`, :ref:`tag-formulation-comparison`
 | Author: :ref:`email-gleb_at_ampl.com` <[email protected]>, :ref:`email-fdabrandao_at_gmail.com` <[email protected]>
 
 .. |github-logistic-regression-with-amplpy|  image:: https://img.shields.io/badge/github-%23121011.svg?logo=github

docs/source/tags/conic.rst

@@ -42,7 +42,7 @@ Logistic Regression with amplpy
 | `Notebooks <../notebooks/index.html>`_ > `Logistic Regression with amplpy <../notebooks/logistic-regression-with-amplpy.html>`_
 | |github-logistic-regression-with-amplpy| |colab-logistic-regression-with-amplpy| |deepnote-logistic-regression-with-amplpy| |kaggle-logistic-regression-with-amplpy| |gradient-logistic-regression-with-amplpy| |sagemaker-logistic-regression-with-amplpy|
 | Description: Logistic regression with amplpy using exponential cones
-| Tags: :ref:`tag-highlights`, :ref:`tag-amplpy`, :ref:`tag-regression`, :ref:`tag-sigmoid`, :ref:`tag-softplus`, :ref:`tag-log-sum-exp`, :ref:`tag-classifier`, :ref:`tag-regularization`, :ref:`tag-machine-learning`, :ref:`tag-conic`, :ref:`tag-exponential-cone`, :ref:`tag-second-order-cone`, :ref:`tag-quadratic-cone`, :ref:`tag-formulation-comparison`
+| Tags: :ref:`tag-highlights`, :ref:`tag-amplpy`, :ref:`tag-logistic-regression`, :ref:`tag-regression`, :ref:`tag-sigmoid`, :ref:`tag-softplus`, :ref:`tag-log-sum-exp`, :ref:`tag-classifier`, :ref:`tag-regularization`, :ref:`tag-machine-learning`, :ref:`tag-conic`, :ref:`tag-exponential-cone`, :ref:`tag-second-order-cone`, :ref:`tag-quadratic-cone`, :ref:`tag-formulation-comparison`
 | Author: :ref:`email-gleb_at_ampl.com` <[email protected]>, :ref:`email-fdabrandao_at_gmail.com` <[email protected]>
 
 .. |github-logistic-regression-with-amplpy|  image:: https://img.shields.io/badge/github-%23121011.svg?logo=github

docs/source/tags/exponential-cone.rst

@@ -8,7 +8,7 @@ Logistic Regression with amplpy
 | `Notebooks <../notebooks/index.html>`_ > `Logistic Regression with amplpy <../notebooks/logistic-regression-with-amplpy.html>`_
 | |github-logistic-regression-with-amplpy| |colab-logistic-regression-with-amplpy| |deepnote-logistic-regression-with-amplpy| |kaggle-logistic-regression-with-amplpy| |gradient-logistic-regression-with-amplpy| |sagemaker-logistic-regression-with-amplpy|
 | Description: Logistic regression with amplpy using exponential cones
-| Tags: :ref:`tag-highlights`, :ref:`tag-amplpy`, :ref:`tag-regression`, :ref:`tag-sigmoid`, :ref:`tag-softplus`, :ref:`tag-log-sum-exp`, :ref:`tag-classifier`, :ref:`tag-regularization`, :ref:`tag-machine-learning`, :ref:`tag-conic`, :ref:`tag-exponential-cone`, :ref:`tag-second-order-cone`, :ref:`tag-quadratic-cone`, :ref:`tag-formulation-comparison`
+| Tags: :ref:`tag-highlights`, :ref:`tag-amplpy`, :ref:`tag-logistic-regression`, :ref:`tag-regression`, :ref:`tag-sigmoid`, :ref:`tag-softplus`, :ref:`tag-log-sum-exp`, :ref:`tag-classifier`, :ref:`tag-regularization`, :ref:`tag-machine-learning`, :ref:`tag-conic`, :ref:`tag-exponential-cone`, :ref:`tag-second-order-cone`, :ref:`tag-quadratic-cone`, :ref:`tag-formulation-comparison`
 | Author: :ref:`email-gleb_at_ampl.com` <[email protected]>, :ref:`email-fdabrandao_at_gmail.com` <[email protected]>
 
 .. |github-logistic-regression-with-amplpy|  image:: https://img.shields.io/badge/github-%23121011.svg?logo=github