From aa91b178d868f9e3b556711f518fd1d4e573f237 Mon Sep 17 00:00:00 2001
From: mhjensen <morten.hjorth-jensen@fys.uio.no>
Date: Sat, 4 Jan 2020 19:51:14 -0500
Subject: [PATCH] typos

---
 doc/pub/DimRed/html/._DimRed-bs000.html      |   2 +-
 doc/pub/DimRed/html/._DimRed-bs007.html      |   2 +-
 doc/pub/DimRed/html/DimRed-bs.html           |   2 +-
 doc/pub/DimRed/html/DimRed-reveal.html       |   4 ++--
 doc/pub/DimRed/html/DimRed-solarized.html    |   4 ++--
 doc/pub/DimRed/html/DimRed.html              |   4 ++--
 doc/pub/DimRed/ipynb/DimRed.ipynb            |   4 ++--
 doc/pub/DimRed/ipynb/ipynb-DimRed-src.tar.gz | Bin 191 -> 190 bytes
 doc/pub/DimRed/pdf/DimRed-minted.pdf         | Bin 264579 -> 264576 bytes
 doc/src/DimRed/DimRed.do.txt                 |   2 +-
 10 files changed, 12 insertions(+), 12 deletions(-)

diff --git a/doc/pub/DimRed/html/._DimRed-bs000.html b/doc/pub/DimRed/html/._DimRed-bs000.html
index e98d32dba..c9270593c 100644
--- a/doc/pub/DimRed/html/._DimRed-bs000.html
+++ b/doc/pub/DimRed/html/._DimRed-bs000.html
@@ -224,7 +224,7 @@ MathJax.Hub.Config({
 <center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
 <br>
 <p>
-<center><h4>Jan 3, 2020</h4></center> <!-- date -->
+<center><h4>Jan 4, 2020</h4></center> <!-- date -->
 <br>
 <p>
 
diff --git a/doc/pub/DimRed/html/._DimRed-bs007.html b/doc/pub/DimRed/html/._DimRed-bs007.html
index 7efbdf565..831690584 100644
--- a/doc/pub/DimRed/html/._DimRed-bs007.html
+++ b/doc/pub/DimRed/html/._DimRed-bs007.html
@@ -208,7 +208,7 @@ MathJax.Hub.Config({
 <h2 id="___sec6" class="anchor">Why should we think of reducing the dimensionality </h2>
 
 <p>
-In addition to the plot of the features, we study now also the covariance (or rather the correlation matrix).
+In addition to the plot of the features, we study now also the covariance (and the correlation matrix).
 We use also <b>Pandas</b> to compute the correlation matrix.
 <p>
 
diff --git a/doc/pub/DimRed/html/DimRed-bs.html b/doc/pub/DimRed/html/DimRed-bs.html
index e98d32dba..c9270593c 100644
--- a/doc/pub/DimRed/html/DimRed-bs.html
+++ b/doc/pub/DimRed/html/DimRed-bs.html
@@ -224,7 +224,7 @@ MathJax.Hub.Config({
 <center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
 <br>
 <p>
-<center><h4>Jan 3, 2020</h4></center> <!-- date -->
+<center><h4>Jan 4, 2020</h4></center> <!-- date -->
 <br>
 <p>
 
diff --git a/doc/pub/DimRed/html/DimRed-reveal.html b/doc/pub/DimRed/html/DimRed-reveal.html
index a6c087b82..54fd3c998 100644
--- a/doc/pub/DimRed/html/DimRed-reveal.html
+++ b/doc/pub/DimRed/html/DimRed-reveal.html
@@ -148,7 +148,7 @@ MathJax.Hub.Config({
 <center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
 <br>
 <p>&nbsp;<br>
-<center><h4>Jan 3, 2020</h4></center> <!-- date -->
+<center><h4>Jan 4, 2020</h4></center> <!-- date -->
 <br>
 <p>
 
@@ -435,7 +435,7 @@ logreg.fit(X_train_scaled, y_train)
 <h2 id="___sec6">Why should we think of reducing the dimensionality </h2>
 
 <p>
-In addition to the plot of the features, we study now also the covariance (or rather the correlation matrix).
+In addition to the plot of the features, we study now also the covariance (and the correlation matrix).
 We use also <b>Pandas</b> to compute the correlation matrix.
 <p>
 
diff --git a/doc/pub/DimRed/html/DimRed-solarized.html b/doc/pub/DimRed/html/DimRed-solarized.html
index afc784777..dfc8200e1 100644
--- a/doc/pub/DimRed/html/DimRed-solarized.html
+++ b/doc/pub/DimRed/html/DimRed-solarized.html
@@ -179,7 +179,7 @@ MathJax.Hub.Config({
 <center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
 <br>
 <p>
-<center><h4>Jan 3, 2020</h4></center> <!-- date -->
+<center><h4>Jan 4, 2020</h4></center> <!-- date -->
 <br>
 <p>
 <!-- !split --><br><br><br><br><br><br><br><br><br><br>
@@ -463,7 +463,7 @@ logreg.fit(X_train_scaled, y_train)
 <h2 id="___sec6">Why should we think of reducing the dimensionality </h2>
 
 <p>
-In addition to the plot of the features, we study now also the covariance (or rather the correlation matrix).
+In addition to the plot of the features, we study now also the covariance (and the correlation matrix).
 We use also <b>Pandas</b> to compute the correlation matrix.
 <p>
 
diff --git a/doc/pub/DimRed/html/DimRed.html b/doc/pub/DimRed/html/DimRed.html
index 782810c60..0d3ab1ce2 100644
--- a/doc/pub/DimRed/html/DimRed.html
+++ b/doc/pub/DimRed/html/DimRed.html
@@ -184,7 +184,7 @@ MathJax.Hub.Config({
 <center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
 <br>
 <p>
-<center><h4>Jan 3, 2020</h4></center> <!-- date -->
+<center><h4>Jan 4, 2020</h4></center> <!-- date -->
 <br>
 <p>
 <!-- !split --><br><br><br><br><br><br><br><br><br><br>
@@ -468,7 +468,7 @@ logreg<span style="color: #666666">.</span>fit(X_train_scaled, y_train)
 <h2 id="___sec6">Why should we think of reducing the dimensionality </h2>
 
 <p>
-In addition to the plot of the features, we study now also the covariance (or rather the correlation matrix).
+In addition to the plot of the features, we study now also the covariance (and the correlation matrix).
 We use also <b>Pandas</b> to compute the correlation matrix.
 <p>
 
diff --git a/doc/pub/DimRed/ipynb/DimRed.ipynb b/doc/pub/DimRed/ipynb/DimRed.ipynb
index 271ded656..3346cfd0c 100644
--- a/doc/pub/DimRed/ipynb/DimRed.ipynb
+++ b/doc/pub/DimRed/ipynb/DimRed.ipynb
@@ -10,7 +10,7 @@
     "<!-- Author: -->  \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: **Jan 3, 2020**\n",
+    "Date: **Jan 4, 2020**\n",
     "\n",
     "Copyright 1999-2020, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license\n",
     "\n",
@@ -296,7 +296,7 @@
    "source": [
     "## Why should we think of reducing the dimensionality\n",
     "\n",
-    "In addition to the plot of the features, we study now also the covariance (or rather the correlation matrix).\n",
+    "In addition to the plot of the features, we study now also the covariance (and the correlation matrix).\n",
     "We use also **Pandas** to compute the correlation matrix."
    ]
   },
diff --git a/doc/pub/DimRed/ipynb/ipynb-DimRed-src.tar.gz b/doc/pub/DimRed/ipynb/ipynb-DimRed-src.tar.gz
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diff --git a/doc/src/DimRed/DimRed.do.txt b/doc/src/DimRed/DimRed.do.txt
index 9e0f013a7..c6fd2f3c8 100644
--- a/doc/src/DimRed/DimRed.do.txt
+++ b/doc/src/DimRed/DimRed.do.txt
@@ -263,7 +263,7 @@ print("Test set accuracy scaled data: {:.2f}".format(logreg.score(X_test_scaled,
 !split
 ===== Why should we think of reducing the dimensionality =====
 
-In addition to the plot of the features, we study now also the covariance (or rather the correlation matrix).
+In addition to the plot of the features, we study now also the covariance (and the correlation matrix).
 We use also _Pandas_ to compute the correlation matrix.
 !bc pycod
 import matplotlib.pyplot as plt