From 36df9ad47ba5a804ccf808c67af613de33f23130 Mon Sep 17 00:00:00 2001 From: Morten Hjorth-Jensen Date: Wed, 29 Sep 2021 07:36:01 +0200 Subject: [PATCH] updated deadline project 1 --- doc/pub/week34/html/._week34-bs000.html | 2 +- doc/pub/week34/html/._week34-bs009.html | 2 +- doc/pub/week34/html/week34-bs.html | 2 +- doc/pub/week34/html/week34-reveal.html | 4 +- doc/pub/week34/html/week34-solarized.html | 4 +- doc/pub/week34/html/week34.html | 4 +- doc/pub/week34/ipynb/ipynb-week34-src.tar.gz | Bin 103349 -> 103349 bytes doc/pub/week34/ipynb/week34.ipynb | 4 +- doc/pub/week39/ipynb/week39.ipynb | 146 ++++++++++--------- doc/src/week34/clean.sh | 2 +- doc/src/week34/week34.do.txt | 2 +- 11 files changed, 92 insertions(+), 80 deletions(-) diff --git a/doc/pub/week34/html/._week34-bs000.html b/doc/pub/week34/html/._week34-bs000.html index bfd9988b7..6ad501760 100644 --- a/doc/pub/week34/html/._week34-bs000.html +++ b/doc/pub/week34/html/._week34-bs000.html @@ -384,7 +384,7 @@ MathJax.Hub.Config({
[2] Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University

-

Sep 6, 2021

+

Sep 29, 2021


diff --git a/doc/pub/week34/html/._week34-bs009.html b/doc/pub/week34/html/._week34-bs009.html index 90f2a656b..054e94907 100644 --- a/doc/pub/week34/html/._week34-bs009.html +++ b/doc/pub/week34/html/._week34-bs009.html @@ -373,7 +373,7 @@ MathJax.Hub.Config({

    -
  1. Project 1: October 4 (available September 10) graded with feedback)
    2. +
  2. Project 1: October 11 (available September 10) graded with feedback)
  3. Project 2: November 8 (available October 8, graded with feedback)
  4. Project 3: December 13 (available November 12, graded with feedback)
diff --git a/doc/pub/week34/html/week34-bs.html b/doc/pub/week34/html/week34-bs.html index bfd9988b7..6ad501760 100644 --- a/doc/pub/week34/html/week34-bs.html +++ b/doc/pub/week34/html/week34-bs.html @@ -384,7 +384,7 @@ MathJax.Hub.Config({
[2] Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University

-

Sep 6, 2021

+

Sep 29, 2021


diff --git a/doc/pub/week34/html/week34-reveal.html b/doc/pub/week34/html/week34-reveal.html index fde60273d..b79deb43c 100644 --- a/doc/pub/week34/html/week34-reveal.html +++ b/doc/pub/week34/html/week34-reveal.html @@ -148,7 +148,7 @@ MathJax.Hub.Config({

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

 
-

Sep 6, 2021

+

Sep 29, 2021


@@ -343,7 +343,7 @@ The lectures will be recorded and updated videos will be posted after the lectur

    -

  1. Project 1: October 4 (available September 10) graded with feedback)
    2. +

  2. Project 1: October 11 (available September 10) graded with feedback)

  3. Project 2: November 8 (available October 8, graded with feedback)

  4. Project 3: December 13 (available November 12, graded with feedback)
diff --git a/doc/pub/week34/html/week34-solarized.html b/doc/pub/week34/html/week34-solarized.html index 3c2b57139..b08cafb93 100644 --- a/doc/pub/week34/html/week34-solarized.html +++ b/doc/pub/week34/html/week34-solarized.html @@ -300,7 +300,7 @@ MathJax.Hub.Config({
[2] Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University

-

Sep 6, 2021

+

Sep 29, 2021












@@ -483,7 +483,7 @@ The lectures will be recorded and updated videos will be posted after the lectur

    -
  1. Project 1: October 4 (available September 10) graded with feedback)
    2. +
  2. Project 1: October 11 (available September 10) graded with feedback)
  3. Project 2: November 8 (available October 8, graded with feedback)
  4. Project 3: December 13 (available November 12, graded with feedback)
diff --git a/doc/pub/week34/html/week34.html b/doc/pub/week34/html/week34.html index 1f9606a26..1bd821b7e 100644 --- a/doc/pub/week34/html/week34.html +++ b/doc/pub/week34/html/week34.html @@ -305,7 +305,7 @@ MathJax.Hub.Config({
[2] Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University

-

Sep 6, 2021

+

Sep 29, 2021












@@ -488,7 +488,7 @@ The lectures will be recorded and updated videos will be posted after the lectur

    -
  1. Project 1: October 4 (available September 10) graded with feedback)
    2. +
  2. Project 1: October 11 (available September 10) graded with feedback)
  3. Project 2: November 8 (available October 8, graded with feedback)
  4. Project 3: December 13 (available November 12, graded with feedback)
diff --git a/doc/pub/week34/ipynb/ipynb-week34-src.tar.gz b/doc/pub/week34/ipynb/ipynb-week34-src.tar.gz index 1051e63daa6dab29fa467467cc5b3a9278141c5e..b3dcafa461484f48ef1909b77dd586fd20f0ac4f 100644 GIT binary patch delta 21 dcmdnGoNeoJHg@@L4hDnY!Hw)&*%{YO1^`sL2Z8_q delta 21 dcmdnGoNeoJHg@@L4u&&gW{vDy*%{YO1^`jr2OIzZ diff --git a/doc/pub/week34/ipynb/week34.ipynb b/doc/pub/week34/ipynb/week34.ipynb index 674ec88f6..b1ae6d474 100644 --- a/doc/pub/week34/ipynb/week34.ipynb +++ b/doc/pub/week34/ipynb/week34.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: **Sep 6, 2021**\n", + "Date: **Sep 29, 2021**\n", "\n", "Copyright 1999-2021, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license\n", "\n", @@ -160,7 +160,7 @@ "## Deadlines for projects (tentative)\n", "\n", "\n", - "1. Project 1: October 4 (available September 10) graded with feedback)\n", + "1. Project 1: October 11 (available September 10) graded with feedback)\n", "\n", "2. Project 2: November 8 (available October 8, graded with feedback)\n", "\n", diff --git a/doc/pub/week39/ipynb/week39.ipynb b/doc/pub/week39/ipynb/week39.ipynb index 0ed7d500a..6e9d11a8c 100644 --- a/doc/pub/week39/ipynb/week39.ipynb +++ b/doc/pub/week39/ipynb/week39.ipynb @@ -45,12 +45,22 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "%matplotlib inline\n", "\n", @@ -119,12 +129,23 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "GridSearchCV(estimator=Ridge(),\n", + " param_grid={'alpha': array([1.00000000e-04, 4.64158883e-04, 2.15443469e-03, 1.00000000e-02,\n", + " 4.64158883e-02, 2.15443469e-01, 1.00000000e+00, 4.64158883e+00,\n", + " 2.15443469e+01, 1.00000000e+02])})\n", + "Best estimated lambda-value: 100.0\n", + "MSE score: 1.0892144853354966\n", + "R2 score: -0.0038332550504751595\n" + ] + } + ], "source": [ "import numpy as np\n", "from sklearn.model_selection import train_test_split\n", @@ -190,12 +211,21 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false, - "editable": true - }, - "outputs": [], + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "RandomizedSearchCV(estimator=Ridge(), n_iter=100,\n", + " param_distributions={'alpha': })\n", + "Best estimated lambda-value: 0.9849967686928113\n", + "MSE score: 1.0853136633465326\n", + "R2 score: -0.0002382102844775691\n" + ] + } + ], "source": [ "import numpy as np\n", "from sklearn.model_selection import train_test_split\n", @@ -1003,10 +1033,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false, - "editable": true - }, + "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", @@ -1041,10 +1068,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false, - "editable": true - }, + "metadata": {}, "outputs": [], "source": [ "pt.axis(\"equal\")\n", @@ -1062,10 +1086,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false, - "editable": true - }, + "metadata": {}, "outputs": [], "source": [ "x = guesses[-1]\n", @@ -1082,10 +1103,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false, - "editable": true - }, + "metadata": {}, "outputs": [], "source": [ "def f1d(alpha):\n", @@ -1107,10 +1125,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false, - "editable": true - }, + "metadata": {}, "outputs": [], "source": [ "pt.axis(\"equal\")\n", @@ -1486,10 +1501,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false, - "editable": true - }, + "metadata": {}, "outputs": [], "source": [ "x = 2*np.random.rand(m,1)\n", @@ -1656,10 +1668,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false, - "editable": true - }, + "metadata": {}, "outputs": [], "source": [ "\n", @@ -1720,10 +1729,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false, - "editable": true - }, + "metadata": {}, "outputs": [], "source": [ "# Importing various packages\n", @@ -1807,10 +1813,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false, - "editable": true - }, + "metadata": {}, "outputs": [], "source": [ "from random import random, seed\n", @@ -1991,10 +1994,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false, - "editable": true - }, + "metadata": {}, "outputs": [], "source": [ "import numpy as np \n", @@ -2056,10 +2056,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false, - "editable": true - }, + "metadata": {}, "outputs": [], "source": [ "import numpy as np \n", @@ -2098,10 +2095,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false, - "editable": true - }, + "metadata": {}, "outputs": [], "source": [ "# Importing various packages\n", @@ -2178,7 +2172,25 @@ ] } ], - "metadata": {}, + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.5" + } + }, "nbformat": 4, "nbformat_minor": 4 } diff --git a/doc/src/week34/clean.sh b/doc/src/week34/clean.sh index 2e5da2c72..2fed3b576 100755 --- a/doc/src/week34/clean.sh +++ b/doc/src/week34/clean.sh @@ -1,3 +1,3 @@ -#!/bin/sh +mn#!/bin/sh doconce clean rm -rf *.pdf *.tex ipynb*.tar.gz *.html ._*.html *~ reveal.js Trash README.txt diff --git a/doc/src/week34/week34.do.txt b/doc/src/week34/week34.do.txt index 868cb0788..fc42868e4 100644 --- a/doc/src/week34/week34.do.txt +++ b/doc/src/week34/week34.do.txt @@ -123,7 +123,7 @@ _Teachers :_ !bblock -o Project 1: October 4 (available September 10) graded with feedback) +o Project 1: October 11 (available September 10) graded with feedback) o Project 2: November 8 (available October 8, graded with feedback) o Project 3: December 13 (available November 12, graded with feedback)