From 26610911ad029574956fd21caccbfb4cb1a58c0d Mon Sep 17 00:00:00 2001 From: mhjensen Date: Fri, 7 Jun 2019 14:18:45 -0400 Subject: [PATCH] updating files --- .../Sampling/gaussian/autocorrelation.eps | 4926 +++++++++ .../Sampling/gaussian/autocorrelation.png | Bin 0 -> 22656 bytes doc/Programs/Sampling/gaussian/blocking.eps | 1608 +++ doc/Programs/Sampling/gaussian/blocking.png | Bin 0 -> 38351 bytes doc/Programs/Sampling/gaussian/data.eps | 8886 +++++++++++++++++ doc/Programs/Sampling/gaussian/data.png | Bin 0 -> 34347 bytes doc/Programs/Sampling/gaussian/hist.eps | 1784 ++++ doc/Programs/Sampling/gaussian/hist.png | Bin 0 -> 26731 bytes doc/Programs/project1.py | 68 + doc/pub/Bayesian/html/._Bayesian-bs000.html | 13 +- doc/pub/Bayesian/html/._Bayesian-bs001.html | 7 +- doc/pub/Bayesian/html/Bayesian-bs.html | 13 +- doc/pub/Bayesian/html/Bayesian-reveal.html | 12 +- doc/pub/Bayesian/html/Bayesian-solarized.html | 11 +- doc/pub/Bayesian/html/Bayesian.html | 11 +- .../html/reveal.js/plugin/math/math.js | 2 +- doc/pub/Bayesian/ipynb/Bayesian.ipynb | 18 +- .../Bayesian/ipynb/ipynb-Bayesian-src.tar.gz | Bin 85393 -> 85220 bytes doc/pub/Bayesian/pdf/Bayesian-minted.pdf | Bin 498285 -> 421291 bytes doc/src/Bayesian/Bayesian.do.txt | 2 +- doc/src/Bayesian/make.sh | 24 - 21 files changed, 17319 insertions(+), 66 deletions(-) create mode 100644 doc/Programs/Sampling/gaussian/autocorrelation.eps create mode 100644 doc/Programs/Sampling/gaussian/autocorrelation.png create mode 100644 doc/Programs/Sampling/gaussian/blocking.eps create mode 100644 doc/Programs/Sampling/gaussian/blocking.png create mode 100644 doc/Programs/Sampling/gaussian/data.eps create mode 100644 doc/Programs/Sampling/gaussian/data.png create mode 100644 doc/Programs/Sampling/gaussian/hist.eps create mode 100644 doc/Programs/Sampling/gaussian/hist.png create mode 100644 doc/Programs/project1.py diff --git a/doc/Programs/Sampling/gaussian/autocorrelation.eps b/doc/Programs/Sampling/gaussian/autocorrelation.eps new file mode 100644 index 000000000..b7b494c42 --- /dev/null +++ b/doc/Programs/Sampling/gaussian/autocorrelation.eps @@ -0,0 +1,4926 @@ +%!PS-Adobe-3.0 EPSF-3.0 +%%Title: gaussian/autocorrelation.eps +%%Creator: matplotlib version 2.0.2, http://matplotlib.org/ +%%CreationDate: Wed Feb 6 14:33:21 2019 +%%Orientation: portrait +%%BoundingBox: 75 223 536 568 +%%EndComments +%%BeginProlog +/mpldict 9 dict def +mpldict begin +/m { moveto } bind def +/l { lineto } bind def +/r { rlineto } bind def +/c { curveto } bind def +/cl { closepath } bind def +/box { +m +1 index 0 r +0 exch r +neg 0 r +cl +} bind def +/clipbox { +box +clip +newpath +} bind def +%!PS-Adobe-3.0 Resource-Font +%%Title: DejaVu Sans +%%Copyright: Copyright (c) 2003 by Bitstream, Inc. 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bind def +/r { rlineto } bind def +/c { curveto } bind def +/cl { closepath } bind def +/box { +m +1 index 0 r +0 exch r +neg 0 r +cl +} bind def +/clipbox { +box +clip +newpath +} bind def +%!PS-Adobe-3.0 Resource-Font +%%Title: DejaVu Sans +%%Copyright: Copyright (c) 2003 by Bitstream, Inc. All Rights Reserved. Copyright (c) 2006 by Tavmjong Bah. All Rights Reserved. DejaVu changes are in public domain +%%Creator: Converted from TrueType to type 3 by PPR +25 dict begin +/_d{bind def}bind def +/_m{moveto}_d +/_l{lineto}_d +/_cl{closepath eofill}_d +/_c{curveto}_d +/_sc{7 -1 roll{setcachedevice}{pop pop pop pop pop pop}ifelse}_d +/_e{exec}_d +/FontName /DejaVuSans def +/PaintType 0 def +/FontMatrix[.001 0 0 .001 0 0]def +/FontBBox[-1021 -463 1793 1232]def +/FontType 3 def +/Encoding [ /period /zero /one /two /three /four /five /seven /e /minus ] def +/FontInfo 10 dict dup begin +/FamilyName (DejaVu Sans) def +/FullName (DejaVu Sans) def +/Notice (Copyright (c) 2003 by Bitstream, Inc. All Rights Reserved. Copyright (c) 2006 by Tavmjong Bah. All Rights Reserved. DejaVu changes are in public domain ) def +/Weight (Book) def +/Version (Version 2.35) def +/ItalicAngle 0.0 def +/isFixedPitch false def +/UnderlinePosition -130 def +/UnderlineThickness 90 def +end readonly def +/CharStrings 10 dict dup begin +/period{318 0 107 0 210 124 _sc +107 124 _m +210 124 _l +210 0 _l +107 0 _l +107 124 _l +_cl}_d +/zero{636 0 66 -13 570 742 _sc +318 664 _m +267 664 229 639 203 589 _c +177 539 165 464 165 364 _c +165 264 177 189 203 139 _c +229 89 267 64 318 64 _c +369 64 407 89 433 139 _c +458 189 471 264 471 364 _c +471 464 458 539 433 589 _c +407 639 369 664 318 664 _c +318 742 _m +399 742 461 709 505 645 _c +548 580 570 486 570 364 _c +570 241 548 147 505 83 _c +461 19 399 -13 318 -13 _c +236 -13 173 19 130 83 _c +87 147 66 241 66 364 _c +66 486 87 580 130 645 _c +173 709 236 742 318 742 _c +_cl}_d +/one{636 0 110 0 544 729 _sc +124 83 _m +285 83 _l +285 639 _l +110 604 _l +110 694 _l +284 729 _l +383 729 _l +383 83 _l +544 83 _l +544 0 _l +124 0 _l +124 83 _l +_cl}_d +/two{{636 0 73 0 536 742 _sc +192 83 _m +536 83 _l +536 0 _l +73 0 _l +73 83 _l +110 121 161 173 226 239 _c +290 304 331 346 348 365 _c +380 400 402 430 414 455 _c +426 479 433 504 433 528 _c +433 566 419 598 392 622 _c +365 646 330 659 286 659 _c +255 659 222 653 188 643 _c +154 632 117 616 78 594 _c +78 694 _l +118 710 155 722 189 730 _c +223 738 255 742 284 742 _c +}_e{359 742 419 723 464 685 _c +509 647 532 597 532 534 _c +532 504 526 475 515 449 _c +504 422 484 390 454 354 _c +446 344 420 317 376 272 _c +332 227 271 164 192 83 _c +_cl}_e}_d +/three{{636 0 76 -13 556 742 _sc +406 393 _m +453 383 490 362 516 330 _c +542 298 556 258 556 212 _c +556 140 531 84 482 45 _c +432 6 362 -13 271 -13 _c +240 -13 208 -10 176 -4 _c +144 1 110 10 76 22 _c +76 117 _l +103 101 133 89 166 81 _c +198 73 232 69 268 69 _c +330 69 377 81 409 105 _c +441 129 458 165 458 212 _c +458 254 443 288 413 312 _c +383 336 341 349 287 349 _c +}_e{202 349 _l +202 430 _l +291 430 _l +339 430 376 439 402 459 _c +428 478 441 506 441 543 _c +441 580 427 609 401 629 _c +374 649 336 659 287 659 _c +260 659 231 656 200 650 _c +169 644 135 635 98 623 _c +98 711 _l +135 721 170 729 203 734 _c +235 739 266 742 296 742 _c +370 742 429 725 473 691 _c +517 657 539 611 539 553 _c +539 513 527 479 504 451 _c +481 423 448 403 406 393 _c +_cl}_e}_d +/four{636 0 49 0 580 729 _sc +378 643 _m +129 254 _l +378 254 _l +378 643 _l +352 729 _m +476 729 _l +476 254 _l +580 254 _l +580 172 _l +476 172 _l +476 0 _l +378 0 _l +378 172 _l +49 172 _l +49 267 _l +352 729 _l +_cl}_d +/five{{636 0 77 -13 549 729 _sc +108 729 _m +495 729 _l +495 646 _l +198 646 _l +198 467 _l +212 472 227 476 241 478 _c +255 480 270 482 284 482 _c +365 482 429 459 477 415 _c +525 370 549 310 549 234 _c +549 155 524 94 475 51 _c +426 8 357 -13 269 -13 _c +238 -13 207 -10 175 -6 _c +143 -1 111 6 77 17 _c +77 116 _l +106 100 136 88 168 80 _c +199 72 232 69 267 69 _c +}_e{323 69 368 83 401 113 _c +433 143 450 183 450 234 _c +450 284 433 324 401 354 _c +368 384 323 399 267 399 _c +241 399 214 396 188 390 _c +162 384 135 375 108 363 _c +108 729 _l +_cl}_e}_d +/seven{636 0 82 0 551 729 _sc +82 729 _m +551 729 _l +551 687 _l +286 0 _l +183 0 _l +432 646 _l +82 646 _l +82 729 _l +_cl}_d +/e{{615 0 55 -13 562 560 _sc +562 296 _m +562 252 _l +149 252 _l +153 190 171 142 205 110 _c +238 78 284 62 344 62 _c +378 62 412 66 444 74 _c +476 82 509 95 541 113 _c +541 28 _l +509 14 476 3 442 -3 _c +408 -9 373 -13 339 -13 _c +251 -13 182 12 131 62 _c +80 112 55 181 55 268 _c +55 357 79 428 127 481 _c +175 533 241 560 323 560 _c +397 560 455 536 498 489 _c +}_e{540 441 562 377 562 296 _c +472 322 _m +471 371 457 410 431 440 _c +404 469 368 484 324 484 _c +274 484 234 469 204 441 _c +174 413 156 373 152 322 _c +472 322 _l +_cl}_e}_d +/minus{838 0 106 272 732 355 _sc +106 355 _m +732 355 _l +732 272 _l +106 272 _l +106 355 _l +_cl}_d +end readonly def + +/BuildGlyph + {exch begin + CharStrings exch + 2 copy known not{pop /.notdef}if + true 3 1 roll get exec + end}_d + +/BuildChar { + 1 index /Encoding get exch get + 1 index /BuildGlyph get exec +}_d + +FontName currentdict end definefont pop +%!PS-Adobe-3.0 Resource-Font +%%Title: DejaVu Serif +%%Copyright: Copyright (c) 2003 by Bitstream, Inc. All Rights Reserved. DejaVu changes are in public domain +%%Creator: Converted from TrueType to type 3 by PPR +25 dict begin +/_d{bind def}bind def +/_m{moveto}_d +/_l{lineto}_d +/_cl{closepath eofill}_d +/_c{curveto}_d +/_sc{7 -1 roll{setcachedevice}{pop pop pop pop pop pop}ifelse}_d +/_e{exec}_d +/FontName /DejaVuSerif def +/PaintType 0 def +/FontMatrix[.001 0 0 .001 0 0]def +/FontBBox[-770 -347 2105 1109]def +/FontType 3 def +/Encoding [ /space /B /S /V /a /c /e /g /i /k /l /n /o /r /z ] def +/FontInfo 10 dict dup begin +/FamilyName (DejaVu Serif) def +/FullName (DejaVu Serif) def +/Notice (Copyright (c) 2003 by Bitstream, Inc. All Rights Reserved. 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/dev/null +++ b/doc/Programs/Sampling/gaussian/data.eps @@ -0,0 +1,8886 @@ +%!PS-Adobe-3.0 EPSF-3.0 +%%Title: gaussian/data.eps +%%Creator: matplotlib version 2.0.2, http://matplotlib.org/ +%%CreationDate: Wed Feb 6 14:33:21 2019 +%%Orientation: portrait +%%BoundingBox: 75 223 536 568 +%%EndComments +%%BeginProlog +/mpldict 9 dict def +mpldict begin +/m { moveto } bind def +/l { lineto } bind def +/r { rlineto } bind def +/c { curveto } bind def +/cl { closepath } bind def +/box { +m +1 index 0 r +0 exch r +neg 0 r +cl +} bind def +/clipbox { +box +clip +newpath +} bind def +%!PS-Adobe-3.0 Resource-Font +%%Title: DejaVu Sans +%%Copyright: Copyright (c) 2003 by Bitstream, Inc. All Rights Reserved. Copyright (c) 2006 by Tavmjong Bah. All Rights Reserved. DejaVu changes are in public domain +%%Creator: Converted from TrueType to type 3 by PPR +25 dict begin +/_d{bind def}bind def +/_m{moveto}_d +/_l{lineto}_d +/_cl{closepath eofill}_d +/_c{curveto}_d +/_sc{7 -1 roll{setcachedevice}{pop pop pop pop pop pop}ifelse}_d +/_e{exec}_d +/FontName /DejaVuSans def +/PaintType 0 def +/FontMatrix[.001 0 0 .001 0 0]def +/FontBBox[-1021 -463 1793 1232]def +/FontType 3 def +/Encoding [ /period /zero /one /two /four /six /eight /nine ] def +/FontInfo 10 dict dup begin +/FamilyName (DejaVu Sans) def +/FullName (DejaVu Sans) def +/Notice (Copyright (c) 2003 by Bitstream, Inc. All Rights Reserved. Copyright (c) 2006 by Tavmjong Bah. All Rights Reserved. DejaVu changes are in public domain ) def +/Weight (Book) def +/Version (Version 2.35) def +/ItalicAngle 0.0 def +/isFixedPitch false def +/UnderlinePosition -130 def +/UnderlineThickness 90 def +end readonly def +/CharStrings 8 dict dup begin +/period{318 0 107 0 210 124 _sc +107 124 _m +210 124 _l +210 0 _l +107 0 _l +107 124 _l +_cl}_d +/zero{636 0 66 -13 570 742 _sc +318 664 _m +267 664 229 639 203 589 _c +177 539 165 464 165 364 _c +165 264 177 189 203 139 _c +229 89 267 64 318 64 _c +369 64 407 89 433 139 _c +458 189 471 264 471 364 _c +471 464 458 539 433 589 _c +407 639 369 664 318 664 _c +318 742 _m +399 742 461 709 505 645 _c +548 580 570 486 570 364 _c +570 241 548 147 505 83 _c +461 19 399 -13 318 -13 _c +236 -13 173 19 130 83 _c +87 147 66 241 66 364 _c +66 486 87 580 130 645 _c +173 709 236 742 318 742 _c +_cl}_d +/one{636 0 110 0 544 729 _sc +124 83 _m +285 83 _l +285 639 _l +110 604 _l +110 694 _l +284 729 _l +383 729 _l +383 83 _l +544 83 _l +544 0 _l +124 0 _l +124 83 _l +_cl}_d +/two{{636 0 73 0 536 742 _sc +192 83 _m +536 83 _l +536 0 _l +73 0 _l +73 83 _l +110 121 161 173 226 239 _c +290 304 331 346 348 365 _c +380 400 402 430 414 455 _c +426 479 433 504 433 528 _c +433 566 419 598 392 622 _c +365 646 330 659 286 659 _c +255 659 222 653 188 643 _c +154 632 117 616 78 594 _c +78 694 _l +118 710 155 722 189 730 _c +223 738 255 742 284 742 _c +}_e{359 742 419 723 464 685 _c +509 647 532 597 532 534 _c +532 504 526 475 515 449 _c +504 422 484 390 454 354 _c +446 344 420 317 376 272 _c +332 227 271 164 192 83 _c +_cl}_e}_d +/four{636 0 49 0 580 729 _sc +378 643 _m +129 254 _l +378 254 _l +378 643 _l +352 729 _m +476 729 _l +476 254 _l +580 254 _l +580 172 _l +476 172 _l +476 0 _l +378 0 _l +378 172 _l +49 172 _l +49 267 _l +352 729 _l +_cl}_d +/six{{636 0 70 -13 573 742 _sc +330 404 _m +286 404 251 388 225 358 _c +199 328 186 286 186 234 _c +186 181 199 139 225 109 _c +251 79 286 64 330 64 _c +374 64 409 79 435 109 _c +461 139 474 181 474 234 _c +474 286 461 328 435 358 _c +409 388 374 404 330 404 _c +526 713 _m +526 623 _l +501 635 476 644 451 650 _c +425 656 400 659 376 659 _c +310 659 260 637 226 593 _c +}_e{192 549 172 482 168 394 _c +187 422 211 444 240 459 _c +269 474 301 482 336 482 _c +409 482 467 459 509 415 _c +551 371 573 310 573 234 _c +573 159 550 99 506 54 _c +462 9 403 -13 330 -13 _c +246 -13 181 19 137 83 _c +92 147 70 241 70 364 _c +70 479 97 571 152 639 _c +206 707 280 742 372 742 _c +396 742 421 739 447 735 _c +472 730 498 723 526 713 _c +_cl}_e}_d +/eight{{636 0 68 -13 568 742 _sc +318 346 _m +271 346 234 333 207 308 _c +180 283 167 249 167 205 _c +167 161 180 126 207 101 _c +234 76 271 64 318 64 _c +364 64 401 76 428 102 _c +455 127 469 161 469 205 _c +469 249 455 283 429 308 _c +402 333 365 346 318 346 _c +219 388 _m +177 398 144 418 120 447 _c +96 476 85 511 85 553 _c +85 611 105 657 147 691 _c +188 725 245 742 318 742 _c +}_e{390 742 447 725 489 691 _c +530 657 551 611 551 553 _c +551 511 539 476 515 447 _c +491 418 459 398 417 388 _c +464 377 501 355 528 323 _c +554 291 568 251 568 205 _c +568 134 546 80 503 43 _c +459 5 398 -13 318 -13 _c +237 -13 175 5 132 43 _c +89 80 68 134 68 205 _c +68 251 81 291 108 323 _c +134 355 171 377 219 388 _c +183 544 _m +183 506 194 476 218 455 _c +}_e{242 434 275 424 318 424 _c +360 424 393 434 417 455 _c +441 476 453 506 453 544 _c +453 582 441 611 417 632 _c +393 653 360 664 318 664 _c +275 664 242 653 218 632 _c +194 611 183 582 183 544 _c +_cl}_e}_d +/nine{{636 0 63 -13 566 742 _sc +110 15 _m +110 105 _l +134 93 159 84 185 78 _c +210 72 235 69 260 69 _c +324 69 374 90 408 134 _c +442 178 462 244 468 334 _c +448 306 424 284 396 269 _c +367 254 335 247 300 247 _c +226 247 168 269 126 313 _c +84 357 63 417 63 494 _c +63 568 85 628 129 674 _c +173 719 232 742 306 742 _c +390 742 455 709 499 645 _c +543 580 566 486 566 364 _c +}_e{566 248 538 157 484 89 _c +429 21 356 -13 264 -13 _c +239 -13 214 -10 189 -6 _c +163 -2 137 5 110 15 _c +306 324 _m +350 324 385 339 411 369 _c +437 399 450 441 450 494 _c +450 546 437 588 411 618 _c +385 648 350 664 306 664 _c +262 664 227 648 201 618 _c +175 588 162 546 162 494 _c +162 441 175 399 201 369 _c +227 339 262 324 306 324 _c +_cl}_e}_d +end readonly def + +/BuildGlyph + {exch begin + CharStrings exch + 2 copy known not{pop /.notdef}if + true 3 1 roll get exec + end}_d + +/BuildChar { + 1 index /Encoding get exch get + 1 index /BuildGlyph get exec +}_d + +FontName currentdict end definefont pop +%!PS-Adobe-3.0 Resource-Font +%%Title: DejaVu Serif +%%Copyright: Copyright (c) 2003 by Bitstream, Inc. All Rights Reserved. DejaVu changes are in public domain +%%Creator: Converted from TrueType to type 3 by PPR +25 dict begin +/_d{bind def}bind def +/_m{moveto}_d +/_l{lineto}_d +/_cl{closepath eofill}_d +/_c{curveto}_d +/_sc{7 -1 roll{setcachedevice}{pop pop pop pop pop pop}ifelse}_d +/_e{exec}_d +/FontName /DejaVuSerif def +/PaintType 0 def +/FontMatrix[.001 0 0 .001 0 0]def +/FontBBox[-770 -347 2105 1109]def +/FontType 3 def +/Encoding [ /space /C /E /G /H /M /a /e /i /l /n /o /r /s /t /u /v /y ] def +/FontInfo 10 dict dup begin +/FamilyName (DejaVu Serif) def +/FullName (DejaVu Serif) def +/Notice (Copyright (c) 2003 by Bitstream, Inc. All Rights Reserved. DejaVu changes are in public domain ) def +/Weight (Book) def +/Version (Version 2.35) def +/ItalicAngle 0.0 def +/isFixedPitch false def +/UnderlinePosition -130 def +/UnderlineThickness 90 def +end readonly def +/CharStrings 18 dict dup begin +/space{318 0 0 0 0 0 _sc +}_d +/C{{765 0 56 -13 705 742 _sc +705 193 _m +683 125 647 73 597 39 _c +546 4 482 -13 405 -13 _c +357 -13 312 -5 272 11 _c +231 27 195 50 164 82 _c +127 118 100 160 82 206 _c +64 252 56 305 56 364 _c +56 477 88 568 154 638 _c +219 707 305 742 413 742 _c +453 742 495 736 540 726 _c +584 716 633 700 685 679 _c +685 511 _l +630 511 _l +618 572 593 617 557 646 _c +}_e{521 675 470 690 405 690 _c +327 690 268 662 228 607 _c +188 551 168 470 168 364 _c +168 257 188 176 228 121 _c +268 65 327 38 405 38 _c +459 38 503 51 539 77 _c +574 103 599 141 615 193 _c +705 193 _l +_cl}_e}_d +/E{730 0 55 0 650 729 _sc +55 0 _m +55 52 _l +148 52 _l +148 677 _l +55 677 _l +55 729 _l +642 729 _l +642 567 _l +582 567 _l +582 669 _l +247 669 _l +247 425 _l +486 425 _l +486 516 _l +546 516 _l +546 274 _l +486 274 _l +486 365 _l +247 365 _l +247 60 _l +590 60 _l +590 162 _l +650 162 _l +650 0 _l +55 0 _l +_cl}_d +/G{{799 0 56 -13 720 742 _sc +640 511 _m +628 572 605 617 569 646 _c +533 675 482 690 418 690 _c +334 690 271 663 230 609 _c +188 555 168 473 168 364 _c +168 256 189 175 232 120 _c +274 65 337 38 420 38 _c +456 38 491 42 525 51 _c +559 60 591 74 621 93 _c +621 281 _l +484 281 _l +484 333 _l +720 333 _l +720 61 _l +676 35 630 17 580 5 _c +530 -7 476 -13 420 -13 _c +}_e{310 -13 221 21 155 89 _c +89 157 56 249 56 364 _c +56 479 89 571 155 639 _c +221 707 311 742 424 742 _c +465 742 508 737 553 727 _c +597 717 645 703 695 684 _c +695 511 _l +640 511 _l +_cl}_e}_d +/H{{872 0 55 0 817 729 _sc +55 0 _m +55 52 _l +148 52 _l +148 677 _l +55 677 _l +55 729 _l +340 729 _l +340 677 _l +247 677 _l +247 425 _l +625 425 _l +625 677 _l +532 677 _l +532 729 _l +817 729 _l +817 677 _l +724 677 _l +724 52 _l +817 52 _l +817 0 _l +532 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0.5*np.exp(-(9*x-7)**2/4.0 - 0.25*((9*y-3)**2)) + term4 = -0.2*np.exp(-(9*x-4)**2 - (9*y-7)**2) + return term1 + term2 + term3 + term4 + +# Generate the data +nrow = 100 +ncol = 200 +ax_row = np.random.uniform(0, 1, size=nrow) +ax_col = np.random.uniform(0, 1, size=ncol) + +ind_sort_row = np.argsort(ax_row) +ind_sort_col = np.argsort(ax_col) + +ax_row_sorted = ax_row[ind_sort_row] +ax_col_sorted = ax_col[ind_sort_col] + +colmat, rowmat = np.meshgrid(ax_col_sorted, ax_row_sorted) + +noise_str = .0 +noise = np.random.randn(nrow, ncol) + +z = FrankeFunction(rowmat, colmat) + noise_str * noise + +row_arr = rowmat.ravel() +col_arr = colmat.ravel() +z_arr = z.ravel() + +# Generate the design matrix +p = 10 +poly = PolynomialFeatures(degree = p) +X = poly.fit_transform(np.c_[row_arr, col_arr]) + +## Perform OLS +linreg = LinearRegression() +linreg.fit(X, z_arr) + +zpred = linreg.predict(X) +zplot = zpred.reshape(nrow, ncol) + +# Plot the reuslting fit beside the original surface +fig = plt.figure() + +ax = fig.add_subplot(1, 2, 1, projection='3d') +surf = ax.plot_surface(colmat, rowmat, z, cmap=cm.viridis, linewidth=0, antialiased=False) +fig.colorbar(surf, shrink=0.5, aspect=5) +plt.title('Franke') + +ax = fig.add_subplot(1, 2, 2, projection='3d') +surf = ax.plot_surface(colmat, rowmat, zplot, cmap=cm.viridis, linewidth=0, antialiased=False) +fig.colorbar(surf, shrink=0.5, aspect=5) +plt.title('Fitted Franke') + +plt.show() diff --git a/doc/pub/Bayesian/html/._Bayesian-bs000.html b/doc/pub/Bayesian/html/._Bayesian-bs000.html index 6217e8ccb..426734bac 100644 --- a/doc/pub/Bayesian/html/._Bayesian-bs000.html +++ b/doc/pub/Bayesian/html/._Bayesian-bs000.html @@ -6,9 +6,10 @@ Automatically generated HTML file from DocOnce source - + + -Data Analysis and Machine Learning: Elements of Bayesian theory +Data Analysis and Machine Learning: Elements of Bayesian theory and Bayesian Neural Networks @@ -106,7 +107,7 @@ MathJax.Hub.Config({ - Data Analysis and Machine Learning: 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[3] Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University

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Mar 13, 2018

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Jun 7, 2019


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

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- © 1999-2018, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license + © 1999-2019, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
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Data Analysis and Machine Learning: Elements of Bayesian theory

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Data Analysis and Machine Learning: Elements of Bayesian theory and Bayesian Neural Networks

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

 
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- © 1999-2018, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license + © 1999-2019, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
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Data Analysis and Machine Learning: Elements of Bayesian theory

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Data Analysis and Machine Learning: Elements of Bayesian theory and Bayesian Neural Networks

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

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- © 1999-2018, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license + © 1999-2019, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
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