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Morten Hjorth-Jensen
2021-11-03 06:48:08 +01:00
parent f6ac0c5f91
commit 45305909b3
6 changed files with 269 additions and 269 deletions
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doc/pub/week39/html/week39-reveal.html
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@@ -1810,7 +1810,7 @@ lmbda = <span style="color: #B452CD">0.001</span>
Id = n*lmbda* np.eye(XT_X.shape[<span style="color: #B452CD">0</span>])
<span style="color: #228B22"># Hessian matrix</span>
H = (<span style="color: #B452CD">2.0</span>/n)* XT_X+<span style="color: #B452CD">2</span>*lmbda
H = (<span style="color: #B452CD">2.0</span>/n)* XT_X+<span style="color: #B452CD">2</span>*lmbda* np.eye(XT_X.shape[<span style="color: #B452CD">0</span>])
<span style="color: #228B22"># Get the eigenvalues</span>
EigValues, EigVectors = np.linalg.eig(H)
<span style="color: #658b00">print</span>(<span style="color: #CD5555">f&quot;Eigenvalues of Hessian Matrix:{</span>EigValues<span style="color: #CD5555">}&quot;</span>)
doc/pub/week39/html/week39-solarized.html
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@@ -1752,7 +1752,7 @@ lmbda = <span style="color: #B452CD">0.001</span>
Id = n*lmbda* np.eye(XT_X.shape[<span style="color: #B452CD">0</span>])
<span style="color: #228B22"># Hessian matrix</span>
H = (<span style="color: #B452CD">2.0</span>/n)* XT_X+<span style="color: #B452CD">2</span>*lmbda
H = (<span style="color: #B452CD">2.0</span>/n)* XT_X+<span style="color: #B452CD">2</span>*lmbda* np.eye(XT_X.shape[<span style="color: #B452CD">0</span>])
<span style="color: #228B22"># Get the eigenvalues</span>
EigValues, EigVectors = np.linalg.eig(H)
<span style="color: #658b00">print</span>(<span style="color: #CD5555">f&quot;Eigenvalues of Hessian Matrix:{</span>EigValues<span style="color: #CD5555">}&quot;</span>)
doc/pub/week39/html/week39.html
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@@ -1829,7 +1829,7 @@ lmbda <span style="color: #666666">=</span> <span style="color: #666666">0.001<
Id <span style="color: #666666">=</span> n<span style="color: #666666">*</span>lmbda<span style="color: #666666">*</span> np<span style="color: #666666">.</span>eye(XT_X<span style="color: #666666">.</span>shape[<span style="color: #666666">0</span>])
<span style="color: #408080; font-style: italic"># Hessian matrix</span>
H <span style="color: #666666">=</span> (<span style="color: #666666">2.0/</span>n)<span style="color: #666666">*</span> XT_X<span style="color: #666666">+2*</span>lmbda
H <span style="color: #666666">=</span> (<span style="color: #666666">2.0/</span>n)<span style="color: #666666">*</span> XT_X<span style="color: #666666">+2*</span>lmbda<span style="color: #666666">*</span> np<span style="color: #666666">.</span>eye(XT_X<span style="color: #666666">.</span>shape[<span style="color: #666666">0</span>])
<span style="color: #408080; font-style: italic"># Get the eigenvalues</span>
EigValues, EigVectors <span style="color: #666666">=</span> np<span style="color: #666666">.</span>linalg<span style="color: #666666">.</span>eig(H)
<span style="color: #008000">print</span>(<span style="color: #BA2121">f&quot;Eigenvalues of Hessian Matrix:</span><span style="color: #BB6688; font-weight: bold">{</span>EigValues<span style="color: #BB6688; font-weight: bold">}</span><span style="color: #BA2121">&quot;</span>)
doc/pub/week39/ipynb/ipynb-week39-src.tar.gz
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doc/pub/week39/ipynb/week39.ipynb
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doc/src/week39/week39.do.txt
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@@ -1206,7 +1206,7 @@ lmbda = 0.001
Id = n*lmbda* np.eye(XT_X.shape[0])
# Hessian matrix
H = (2.0/n)* XT_X+2*lmbda
H = (2.0/n)* XT_X+2*lmbda* np.eye(XT_X.shape[0])
# Get the eigenvalues
EigValues, EigVectors = np.linalg.eig(H)
print(f"Eigenvalues of Hessian Matrix:{EigValues}")