diff --git a/doc/pub/svm/html/._svm-bs000.html b/doc/pub/svm/html/._svm-bs000.html index 43ca73433..a030a0dc1 100644 --- a/doc/pub/svm/html/._svm-bs000.html +++ b/doc/pub/svm/html/._svm-bs000.html @@ -73,8 +73,7 @@ Automatically generated HTML file from DocOnce source '___sec23'), ('How do we solve these problems?', 2, None, '___sec24'), ('A simple example', 2, None, '___sec25'), - ('Back to the more realistic cases', 2, None, '___sec26'), - ('Code Example', 2, None, '___sec27')]} + ('Back to the more realistic cases', 2, None, '___sec26')]} end of tocinfo --> @@ -139,7 +138,6 @@ MathJax.Hub.Config({
  • How do we solve these problems?
  • A simple example
  • Back to the more realistic cases
    • -
  • Code Example
    • @@ -174,7 +172,7 @@ MathJax.Hub.Config({
    [2] Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University

    -

    Nov 25, 2019

    +

    Nov 26, 2019


    @@ -198,7 +196,7 @@ MathJax.Hub.Config({

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    • diff --git a/doc/pub/svm/html/._svm-bs001.html b/doc/pub/svm/html/._svm-bs001.html index 5775d787d..90d33e7a8 100644 --- a/doc/pub/svm/html/._svm-bs001.html +++ b/doc/pub/svm/html/._svm-bs001.html @@ -73,8 +73,7 @@ Automatically generated HTML file from DocOnce source '___sec23'), ('How do we solve these problems?', 2, None, '___sec24'), ('A simple example', 2, None, '___sec25'), - ('Back to the more realistic cases', 2, None, '___sec26'), - ('Code Example', 2, None, '___sec27')]} + ('Back to the more realistic cases', 2, None, '___sec26')]} end of tocinfo --> @@ -139,7 +138,6 @@ MathJax.Hub.Config({
  • How do we solve these problems?
  • A simple example
  • Back to the more realistic cases
    • -
  • Code Example
    • @@ -202,7 +200,7 @@ unlikely that we can separate classes easily by say straight lines.
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  • How do we solve these problems?
  • A simple example
  • Back to the more realistic cases
    • -
  • Code Example
    • @@ -257,7 +255,7 @@ plt.show()
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  • How do we solve these problems?
  • A simple example
  • Back to the more realistic cases
    • -
  • Code Example
    • @@ -202,7 +200,7 @@ $$
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  • How do we solve these problems?
  • A simple example
  • Back to the more realistic cases
    • -
  • Code Example
    • @@ -214,7 +212,7 @@ When we try to separate hyperplanes, if it exists, we can use it to construct a
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  • How do we solve these problems?
  • A simple example
  • Back to the more realistic cases
    • -
  • Code Example
    • @@ -200,7 +198,7 @@ for our data sample.
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  • How do we solve these problems?
  • A simple example
  • Back to the more realistic cases
    • -
  • Code Example
    • @@ -196,7 +194,7 @@ $$
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  • How do we solve these problems?
  • A simple example
  • Back to the more realistic cases
    • -
  • Code Example
    • @@ -200,7 +198,7 @@ $$
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  • How do we solve these problems?
  • A simple example
  • Back to the more realistic cases
    • -
  • Code Example
    • @@ -194,7 +192,7 @@ where \( \eta \) is our by now well-known learning rate.
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  • How do we solve these problems?
  • A simple example
  • Back to the more realistic cases
    • -
  • Code Example
    • @@ -191,7 +189,7 @@ regression). We are going to set up a simple case with two classes only and we w
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  • How do we solve these problems?
  • A simple example
  • Back to the more realistic cases
    • -
  • Code Example
    • @@ -194,7 +192,7 @@ at all.
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  • How do we solve these problems?
  • A simple example
  • Back to the more realistic cases
    • -
  • Code Example
    • @@ -220,7 +218,7 @@ about Lagrangian multipliers.
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  • How do we solve these problems?
  • A simple example
  • Back to the more realistic cases
    • -
  • Code Example
    • @@ -228,7 +226,7 @@ Then \( dz \) is no longer arbitrary.
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  • How do we solve these problems?
  • A simple example
  • Back to the more realistic cases
    • -
  • Code Example
    • @@ -221,7 +219,7 @@ $$
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  • How do we solve these problems?
  • A simple example
  • Back to the more realistic cases
    • -
  • Code Example
    • @@ -219,7 +217,7 @@ When \( \lambda_i > 0 \), the vectors \( \boldsymbol{x}_i \) are called support
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  • How do we solve these problems?
  • A simple example
  • Back to the more realistic cases
    • -
  • Code Example
    • @@ -202,7 +200,7 @@ subject to \( \boldsymbol{y}^T\boldsymbol{\lambda}=0 \). Here we defined the vec
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  • How do we solve these problems?
  • A simple example
  • Back to the more realistic cases
    • -
  • Code Example
    • @@ -212,7 +210,7 @@ Below we discuss how to find the optimal values of \( \lambda_i \). Before we pr
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  • How do we solve these problems?
  • A simple example
  • Back to the more realistic cases
    • -
  • Code Example
    • @@ -213,7 +211,7 @@ misclassifications.
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  • How do we solve these problems?
  • A simple example
  • Back to the more realistic cases
    • -
  • Code Example
    • @@ -231,8 +229,6 @@ $$
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  • How do we solve these problems?
  • A simple example
  • Back to the more realistic cases
    • -
  • Code Example
    • @@ -249,7 +247,6 @@ plt.show()
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  • How do we solve these problems?
  • A simple example
  • Back to the more realistic cases
    • -
  • Code Example
    • @@ -220,7 +218,6 @@ the trouble of performing the transformation
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  • How do we solve these problems?
  • A simple example
  • Back to the more realistic cases
    • -
  • Code Example
    • @@ -210,7 +208,6 @@ Given a kernel \( K \) and the targets \( y_i \) this matrix is easy to set up.
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  • How do we solve these problems?
  • A simple example
  • Back to the more realistic cases
    • -
  • Code Example
    • @@ -211,7 +209,6 @@ in practice.
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  • How do we solve these problems?
  • A simple example
  • Back to the more realistic cases
    • -
  • Code Example
    • @@ -368,7 +366,6 @@ plt.show()
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    • diff --git a/doc/pub/svm/html/._svm-bs024.html b/doc/pub/svm/html/._svm-bs024.html index 311c05184..3ad9742bf 100644 --- a/doc/pub/svm/html/._svm-bs024.html +++ b/doc/pub/svm/html/._svm-bs024.html @@ -73,8 +73,7 @@ Automatically generated HTML file from DocOnce source '___sec23'), ('How do we solve these problems?', 2, None, '___sec24'), ('A simple example', 2, None, '___sec25'), - ('Back to the more realistic cases', 2, None, '___sec26'), - ('Code Example', 2, None, '___sec27')]} + ('Back to the more realistic cases', 2, None, '___sec26')]} end of tocinfo --> @@ -139,7 +138,6 @@ MathJax.Hub.Config({
  • How do we solve these problems?
  • A simple example
  • Back to the more realistic cases
    • -
  • Code Example
    • @@ -196,7 +194,6 @@ Convex optimization problems play a central role in applied mathematics and we r
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    • diff --git a/doc/pub/svm/html/._svm-bs025.html b/doc/pub/svm/html/._svm-bs025.html index 3762e072b..9be29a525 100644 --- a/doc/pub/svm/html/._svm-bs025.html +++ b/doc/pub/svm/html/._svm-bs025.html @@ -73,8 +73,7 @@ Automatically generated HTML file from DocOnce source '___sec23'), ('How do we solve these problems?', 2, None, '___sec24'), ('A simple example', 2, None, '___sec25'), - ('Back to the more realistic cases', 2, None, '___sec26'), - ('Code Example', 2, None, '___sec27')]} + ('Back to the more realistic cases', 2, None, '___sec26')]} end of tocinfo --> @@ -139,7 +138,6 @@ MathJax.Hub.Config({
  • How do we solve these problems?
  • A simple example
  • Back to the more realistic cases
    • -
  • Code Example
    • @@ -196,7 +194,6 @@ This will make our life much easier. You don't need t write your own optimizer.
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    • diff --git a/doc/pub/svm/html/._svm-bs026.html b/doc/pub/svm/html/._svm-bs026.html index 38647b2d0..9e2347ddb 100644 --- a/doc/pub/svm/html/._svm-bs026.html +++ b/doc/pub/svm/html/._svm-bs026.html @@ -73,8 +73,7 @@ Automatically generated HTML file from DocOnce source '___sec23'), ('How do we solve these problems?', 2, None, '___sec24'), ('A simple example', 2, None, '___sec25'), - ('Back to the more realistic cases', 2, None, '___sec26'), - ('Code Example', 2, None, '___sec27')]} + ('Back to the more realistic cases', 2, None, '___sec26')]} end of tocinfo --> @@ -139,7 +138,6 @@ MathJax.Hub.Config({
  • How do we solve these problems?
  • A simple example
  • Back to the more realistic cases
    • -
  • Code Example
    • @@ -237,7 +235,6 @@ sol[’primal objective’]
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    • diff --git a/doc/pub/svm/html/svm-bs.html b/doc/pub/svm/html/svm-bs.html index 43ca73433..a030a0dc1 100644 --- a/doc/pub/svm/html/svm-bs.html +++ b/doc/pub/svm/html/svm-bs.html @@ -73,8 +73,7 @@ Automatically generated HTML file from DocOnce source '___sec23'), ('How do we solve these problems?', 2, None, '___sec24'), ('A simple example', 2, None, '___sec25'), - ('Back to the more realistic cases', 2, None, '___sec26'), - ('Code Example', 2, None, '___sec27')]} + ('Back to the more realistic cases', 2, None, '___sec26')]} end of tocinfo --> @@ -139,7 +138,6 @@ MathJax.Hub.Config({
  • How do we solve these problems?
  • A simple example
  • Back to the more realistic cases
    • -
  • Code Example
    • @@ -174,7 +172,7 @@ MathJax.Hub.Config({
    [2] Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University

    -

    Nov 25, 2019

    +

    Nov 26, 2019


    @@ -198,7 +196,7 @@ MathJax.Hub.Config({

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    • -
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    • diff --git a/doc/pub/svm/html/svm-reveal.html b/doc/pub/svm/html/svm-reveal.html index 95fb022fa..faeece1c0 100644 --- a/doc/pub/svm/html/svm-reveal.html +++ b/doc/pub/svm/html/svm-reveal.html @@ -148,7 +148,7 @@ MathJax.Hub.Config({
    [2] Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University

     
    -

    Nov 25, 2019

    +

    Nov 26, 2019


    @@ -1473,39 +1473,6 @@ With the slack constants this leads to the additional constraint \( 0\leq \lamb -

    -

    Code Example

    -

    - - -

    import numpy as np
-from scipy.optimize import minimize
-def rosen(x):
-    return sum(100.0*(x[1:]-x[:-1]**2.0)**2.0 + (1-x[:-1])**2.0)
-def rosen_der(x):
-    xm = x[1:-1]
-    xm_m1 = x[:-2]
-    xm_p1 = x[2:]
-    der = np.zeros_like(x)
-    der[1:-1] = 200*(xm-xm_m1**2) - 400*(xm_p1 - xm**2)*xm - 2*(1-xm)
-    der[0] = -400*x[0]*(x[1]-x[0]**2) - 2*(1-x[0])
-    der[-1] = 200*(x[-1]-x[-2]**2)
-    return der
-
-
-
-x0 = np.array([1.2, 0.1, 0.8, 1.9, 1.2])
-print(x0)
-res = minimize(rosen, x0, method='nelder-mead',options={'xtol': 1e-8, 'disp': True})
-print(x0)
-
-
-res2 = minimize(rosen, x0, method='BFGS', jac=rosen_der, options={'disp': True})
-print(x0)
-
    -
    - - diff --git a/doc/pub/svm/html/svm-solarized.html b/doc/pub/svm/html/svm-solarized.html index 3feffe35c..2d940a82b 100644 --- a/doc/pub/svm/html/svm-solarized.html +++ b/doc/pub/svm/html/svm-solarized.html @@ -67,8 +67,7 @@ div { text-align: justify; text-justify: inter-word; } '___sec23'), ('How do we solve these problems?', 2, None, '___sec24'), ('A simple example', 2, None, '___sec25'), - ('Back to the more realistic cases', 2, None, '___sec26'), - ('Code Example', 2, None, '___sec27')]} + ('Back to the more realistic cases', 2, None, '___sec26')]} end of tocinfo --> @@ -110,7 +109,7 @@ MathJax.Hub.Config({
    [2] Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University

    -

    Nov 25, 2019

    +

    Nov 26, 2019












    @@ -1280,38 +1279,6 @@ With the slack constants this leads to the additional constraint \( 0\leq \lamb

    code will be added -

    -









    - -

    Code Example

    -

    - - -

    import numpy as np
-from scipy.optimize import minimize
-def rosen(x):
-    return sum(100.0*(x[1:]-x[:-1]**2.0)**2.0 + (1-x[:-1])**2.0)
-def rosen_der(x):
-    xm = x[1:-1]
-    xm_m1 = x[:-2]
-    xm_p1 = x[2:]
-    der = np.zeros_like(x)
-    der[1:-1] = 200*(xm-xm_m1**2) - 400*(xm_p1 - xm**2)*xm - 2*(1-xm)
-    der[0] = -400*x[0]*(x[1]-x[0]**2) - 2*(1-x[0])
-    der[-1] = 200*(x[-1]-x[-2]**2)
-    return der
-
-
-
-x0 = np.array([1.2, 0.1, 0.8, 1.9, 1.2])
-print(x0)
-res = minimize(rosen, x0, method='nelder-mead',options={'xtol': 1e-8, 'disp': True})
-print(x0)
-
-
-res2 = minimize(rosen, x0, method='BFGS', jac=rosen_der, options={'disp': True})
-print(x0)
-

    diff --git a/doc/pub/svm/html/svm.html b/doc/pub/svm/html/svm.html index d8cb22755..6a33ffaef 100644 --- a/doc/pub/svm/html/svm.html +++ b/doc/pub/svm/html/svm.html @@ -72,8 +72,7 @@ div { text-align: justify; text-justify: inter-word; } '___sec23'), ('How do we solve these problems?', 2, None, '___sec24'), ('A simple example', 2, None, '___sec25'), - ('Back to the more realistic cases', 2, None, '___sec26'), - ('Code Example', 2, None, '___sec27')]} + ('Back to the more realistic cases', 2, None, '___sec26')]} end of tocinfo --> @@ -115,7 +114,7 @@ MathJax.Hub.Config({

    [2] Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University

    -

    Nov 25, 2019

    +

    Nov 26, 2019












    @@ -1285,38 +1284,6 @@ With the slack constants this leads to the additional constraint \( 0\leq \lamb

    code will be added -

    -









    - -

    Code Example

    -

    - - -

    import numpy as np
-from scipy.optimize import minimize
-def rosen(x):
-    return sum(100.0*(x[1:]-x[:-1]**2.0)**2.0 + (1-x[:-1])**2.0)
-def rosen_der(x):
-    xm = x[1:-1]
-    xm_m1 = x[:-2]
-    xm_p1 = x[2:]
-    der = np.zeros_like(x)
-    der[1:-1] = 200*(xm-xm_m1**2) - 400*(xm_p1 - xm**2)*xm - 2*(1-xm)
-    der[0] = -400*x[0]*(x[1]-x[0]**2) - 2*(1-x[0])
-    der[-1] = 200*(x[-1]-x[-2]**2)
-    return der
-
-
-
-x0 = np.array([1.2, 0.1, 0.8, 1.9, 1.2])
-print(x0)
-res = minimize(rosen, x0, method='nelder-mead',options={'xtol': 1e-8, 'disp': True})
-print(x0)
-
-
-res2 = minimize(rosen, x0, method='BFGS', jac=rosen_der, options={'disp': True})
-print(x0)
-

    diff --git a/doc/pub/svm/ipynb/ipynb-svm-src.tar.gz b/doc/pub/svm/ipynb/ipynb-svm-src.tar.gz index d289e0cf1..a03597c64 100644 Binary files a/doc/pub/svm/ipynb/ipynb-svm-src.tar.gz and b/doc/pub/svm/ipynb/ipynb-svm-src.tar.gz differ diff --git a/doc/pub/svm/ipynb/svm.ipynb b/doc/pub/svm/ipynb/svm.ipynb index bfca7f0ea..e5cf5999d 100644 --- a/doc/pub/svm/ipynb/svm.ipynb +++ b/doc/pub/svm/ipynb/svm.ipynb @@ -10,7 +10,7 @@ " \n", "**Morten Hjorth-Jensen**, Department of Physics, University of Oslo and Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University\n", "\n", - "Date: **Nov 25, 2019**\n", + "Date: **Nov 26, 2019**\n", "\n", "Copyright 1999-2019, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license\n", "\n", @@ -1884,44 +1884,7 @@ "$\\boldsymbol{y}=[y_1,y_2,\\dots,y_n]$. \n", "With the slack constants this leads to the additional constraint $0\\leq \\lambda_i \\leq C$.\n", "\n", - "**code will be added**\n", - "\n", - "\n", - "## Code Example" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "import numpy as np\n", - "from scipy.optimize import minimize\n", - "def rosen(x):\n", - " return sum(100.0*(x[1:]-x[:-1]**2.0)**2.0 + (1-x[:-1])**2.0)\n", - "def rosen_der(x):\n", - " xm = x[1:-1]\n", - " xm_m1 = x[:-2]\n", - " xm_p1 = x[2:]\n", - " der = np.zeros_like(x)\n", - " der[1:-1] = 200*(xm-xm_m1**2) - 400*(xm_p1 - xm**2)*xm - 2*(1-xm)\n", - " der[0] = -400*x[0]*(x[1]-x[0]**2) - 2*(1-x[0])\n", - " der[-1] = 200*(x[-1]-x[-2]**2)\n", - " return der\n", - "\n", - "\n", - "\n", - "x0 = np.array([1.2, 0.1, 0.8, 1.9, 1.2])\n", - "print(x0)\n", - "res = minimize(rosen, x0, method='nelder-mead',options={'xtol': 1e-8, 'disp': True})\n", - "print(x0)\n", - "\n", - "\n", - "res2 = minimize(rosen, x0, method='BFGS', jac=rosen_der, options={'disp': True})\n", - "print(x0)" + "**code will be added**" ] } ], diff --git a/doc/pub/svm/pdf/svm-minted.pdf b/doc/pub/svm/pdf/svm-minted.pdf index c2b7b60d4..df26e30fa 100644 Binary files a/doc/pub/svm/pdf/svm-minted.pdf and b/doc/pub/svm/pdf/svm-minted.pdf differ diff --git a/doc/src/SupportVMachines/svm.do.txt b/doc/src/SupportVMachines/svm.do.txt index e1977f9c2..4ce89c8ef 100644 --- a/doc/src/SupportVMachines/svm.do.txt +++ b/doc/src/SupportVMachines/svm.do.txt @@ -1141,33 +1141,3 @@ With the slack constants this leads to the additional constraint $0\leq \lambda _code will be added_ -!split -===== Code Example ===== -!bc pycod -import numpy as np -from scipy.optimize import minimize -def rosen(x): - return sum(100.0*(x[1:]-x[:-1]**2.0)**2.0 + (1-x[:-1])**2.0) -def rosen_der(x): - xm = x[1:-1] - xm_m1 = x[:-2] - xm_p1 = x[2:] - der = np.zeros_like(x) - der[1:-1] = 200*(xm-xm_m1**2) - 400*(xm_p1 - xm**2)*xm - 2*(1-xm) - der[0] = -400*x[0]*(x[1]-x[0]**2) - 2*(1-x[0]) - der[-1] = 200*(x[-1]-x[-2]**2) - return der - - - -x0 = np.array([1.2, 0.1, 0.8, 1.9, 1.2]) -print(x0) -res = minimize(rosen, x0, method='nelder-mead',options={'xtol': 1e-8, 'disp': True}) -print(x0) - - -res2 = minimize(rosen, x0, method='BFGS', jac=rosen_der, options={'disp': True}) -print(x0) - -!ec -