1Cl-Libsvm-Format

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A fast LibSVM data format reader for Common Lisp.

1.1Installation

ros install masatoi/cl-libsvm-format

1.2Usage

SVMFORMAT:PARSE-FILE returns the dataset list and the estimated number of dimensions of the data. One datum is a list in which the first element is a class label or a target of regression, and the rest are alternate with the index and its value.

(ql:quickload :cl-libsvm-format)

(multiple-value-bind (dataset dim)
    (svmformat:parse-file "/home/wiz/datasets/mnist.scale")
  (defparameter mnist-dataset dataset)
  (defparameter mnist-dimension dim))

;;; First datum

(car mnist-dataset)
;; (5 153 0.0117647005 154 0.0705882 155 0.0705882 156 0.0705882 157 0.494118 158
;;  0.533333 159 0.686275 160 0.101961 161 0.65098 162 1.0 163 0.968627 164
;;  0.498039 177 0.117647 178 0.141176 179 0.368627 180 0.603922 181 0.666667 182
;;  0.992157 183 0.992157 184 0.992157 185 0.992157 186 0.992157 187 0.882353 188
;;  0.67451 189 0.992157 190 0.94901997 191 0.764706 192 0.25098 204 0.192157 205
;;  0.933333 206 0.992157 207 0.992157 208 0.992157 209 0.992157 210 0.992157 211
;;  0.992157 212 0.992157 213 0.992157 214 0.984314 215 0.364706 216 0.321569 217
;;  0.321569 218 0.219608 219 0.152941 232 0.0705882 233 0.858824 234 0.992157 235
;;  0.992157 236 0.992157 237 0.992157 238 0.992157 239 0.776471 240 0.713725 241
;;  0.968627 242 0.945098 261 0.313725 262 0.611765 263 0.419608 264 0.992157 265
;;  0.992157 266 0.803922 267 0.0431373 269 0.168627 270 0.603922 290 0.054902 291
;;  0.00392157 292 0.603922 293 0.992157 294 0.352941 320 0.545098 321 0.992157
;;  322 0.745098 323 0.00784314 348 0.0431373 349 0.745098 350 0.992157 351
;;  0.27451 377 0.137255 378 0.945098 379 0.882353 380 0.627451 381 0.423529 382
;;  0.00392157 406 0.317647 407 0.941176 408 0.992157 409 0.992157 410 0.466667
;;  411 0.0980392 435 0.176471 436 0.729412 437 0.992157 438 0.992157 439 0.588235
;;  440 0.105882 464 0.0627451 465 0.364706 466 0.988235 467 0.992157 468 0.733333
;;  494 0.976471 495 0.992157 496 0.976471 497 0.25098 519 0.180392 520 0.509804
;;  521 0.717647 522 0.992157 523 0.992157 524 0.811765 525 0.00784314 545
;;  0.152941 546 0.580392 547 0.898039 548 0.992157 549 0.992157 550 0.992157 551
;;  0.980392 552 0.713725 571 0.094117604 572 0.447059 573 0.866667 574 0.992157
;;  575 0.992157 576 0.992157 577 0.992157 578 0.788235 579 0.305882 597 0.0901961
;;  598 0.258824 599 0.835294 600 0.992157 601 0.992157 602 0.992157 603 0.992157
;;  604 0.776471 605 0.317647 606 0.00784314 623 0.0705882 624 0.670588 625
;;  0.858824 626 0.992157 627 0.992157 628 0.992157 629 0.992157 630 0.764706 631
;;  0.313725 632 0.0352941 649 0.215686 650 0.67451 651 0.886275 652 0.992157 653
;;  0.992157 654 0.992157 655 0.992157 656 0.956863 657 0.521569 658 0.0431373 677
;;  0.533333 678 0.992157 679 0.992157 680 0.992157 681 0.831373 682 0.529412 683
;;  0.517647 684 0.0627451)

;;; Number of features

mnist-dimension ; => 780

1.3Author

Satoshi Imai (satoshi.imai@gmail.com)

1.4Licence

This software is released under the MIT License, see LICENSE.txt.