hi , i want add somme point getting the follow tow vectors first on it s features vectors = Row(features=SparseVector(765, {0: 3.0, 1: 1.0, 2: 50.0, 3: 16.0, 5: 88021.0, 6: 88021.0, 8: 1.0, 11: 1.0, 12: 200.0, 14: 200.0, 15: 200.0, 16: 200.0, 17: 2.0, 18: 1.0, 25: 1.0, 26: 2.0, 31: 89200.0, 32: 65.0, 33: 1.0, 34: 89020044.0, 35: 1.0, 36: 1.0, 42: 4.0, 43: 24.0, 44: 2274.0, 45: 54.0, 46: 34.0, 47: 44.0, 48: 2654.0, 49: 2934.0, 50: 84.0, 56: 3404.0, 57: 16.0, 59: 1.0, 70: 1.0, 75: 1.0, 76: 1.0, 77: 1.0, 78: 1.0, 79: 1.0, 80: 1.0, 81: 1.0, 82: 1.0, 83: 1.0, 84: 1.0, 85: 1.0, 86: 1.0, 87: 1.0, 88: 1.0, 89: 1.0, 91: 1.0, 92: 1.0, 93: 1.0, 94: 1.0, 95: 1.0, 96: 1.0, 97: 1.0, 98: 1.0, 99: 1.0, 100: 1.0, 102: 1.0, 137: 1.0, 139: 1.0, 141: 1.0, 150: 1.0, 155: 1.0, 158: 1.0, 160: 1.0, 259: 0.61, 260: 0.61, 261: 0.61, 262: 0.61, 263: 1.0, 264: 0.61, 265: 0.61, 266: 0.61, 267: 0.61, 268: 1.0, 269: 0.61, 270: 0.61, 271: 0.61, 272: 0.61, 273: 1.0, 274: 0.61, 275: 0.61, 276: 0.61, 277: 0.61, 278: 1.0, 281: 916.57, 282: 916.57, 283: 916.57, 284: 865.43, 285: 865.43, 286: 865.43, 287: 816.19, 288: 816.19, 289: 816.19, 290: 760.53, 291: 760.53, 292: 760.53, 293: 874.9, 294: 874.9, 295: 874.9, 296: 963.89, 297: 172.9, 298: 73.64, 299: 1.87, 300: 349.53, 301: 109.95, 302: 116.67, 303: 38.59, 304: 68.28, 305: 2.23, 313: 1.0, 314: 1.0, 315: 1.0, 316: 1.0, 317: 1.0, 318: 1.0, 319: 1.0, 320: 1.0, 321: 1.0, 322: 1.0, 323: 109.95, 324: 172.9, 325: 116.67, 326: 38.59, 327: 2.23, 328: 73.64, 329: 1.87, 330: 349.53, 331: 68.28, 332: 180.46, 333: 933.66, 334: 916.57, 335: 1.0, 336: 1.0, 337: 1.0, 338: 1.0, 339: 1.0, 340: 1.0, 341: 1.0, 342: 1.0, 343: 1.0, 344: 166.231, 345: 323.713, 346: 104.988, 347: 104.988, 348: 34.996, 350: 69.992, 352: 61.243, 353: 166.231, 354: 323.713, 355: 104.988, 356: 104.988, 357: 34.996, 359: 69.992, 361: 61.243, 364: 1.0, 365: 1.0, 366: 1.0, 367: 1.0, 368: 1.0, 369: 1.0, 370: 1.0, 371: 1.0, 372: 1.0, 373: 144.5007, 374: 281.3961, 375: 91.2636, 376: 91.2636, 377: 30.4212, 379: 60.8424, 381: 53.2371, 382: 144.5007, 383: 281.3961, 384: 91.2636, 385: 91.2636, 386: 30.4212, 388: 60.8424, 390: 53.2371, 393: 1.0, 394: 1.0, 395: 1.0, 396: 1.0, 397: 1.0, 398: 1.0, 399: 1.0, 400: 1.0, 401: 1.0, 402: 155.0761, 403: 301.9903, 404: 97.9428, 405: 97.9428, 406: 32.6476, 408: 65.2952, 410: 57.1333, 411: 155.0761, 412: 301.9903, 413: 97.9428, 414: 97.9428, 415: 32.6476, 417: 65.2952, 419: 57.1333, 422: 1.0, 423: 1.0, 424: 1.0, 425: 1.0, 426: 1.0, 427: 1.0, 428: 1.0, 429: 1.0, 430: 1.0, 431: 164.4317, 432: 320.2091, 433: 103.8516, 434: 103.8516, 435: 34.6172, 437: 69.2344, 439: 60.5801, 440: 164.4317, 441: 320.2091, 442: 103.8516, 443: 103.8516, 444: 34.6172, 446: 69.2344, 448: 60.5801, 451: 1.0, 452: 1.0, 453: 1.0, 454: 1.0, 455: 1.0, 456: 1.0, 457: 1.0, 458: 1.0, 459: 1.0, 460: 174.1483, 461: 339.1309, 462: 109.9884, 463: 109.9884, 464: 36.6628, 466: 73.3256, 468: 64.1599, 469: 174.1483, 470: 339.1309, 471: 109.9884, 472: 109.9884, 473: 36.6628, 475: 73.3256, 477: 64.1599, 480: 0.0001, 481: 0.0001, 482: 0.0001, 483: 0.0001, 484: 0.0001, 485: 0.0001, 486: 0.0001, 487: 0.0001, 488: 172.9, 489: 172.9, 490: 172.9, 491: 172.9, 492: 283.4426, 493: 283.4426, 494: 283.4426, 495: 283.4426, 504: 73.64, 505: 73.64, 506: 73.64, 507: 73.64, 508: 1207213.1148, 509: 1207213.1148, 510: 1207213.1148, 511: 1207213.1148, 520: 1.87, 521: 1.87, 522: 1.87, 523: 1.87, 524: 30655.7377, 525: 30655.7377, 526: 30655.7377, 527: 30655.7377, 536: 349.53, 537: 349.53, 538: 349.53, 539: 349.53, 540: 573.0, 541: 573.0, 542: 573.0, 543: 573.0, 552: 116.67, 553: 116.67, 554: 116.67, 555: 116.67, 556: 191.2623, 557: 191.2623, 558: 191.2623, 559: 191.2623, 568: 38.59, 569: 38.59, 570: 38.59, 571: 38.59, 572: 38.59, 573: 38.59, 574: 38.59, 575: 38.59, 584: 180.46, 585: 180.46, 586: 180.46, 587: 180.46, 588: 295.8361, 589: 295.8361, 590: 295.8361, 591: 295.8361, 600: 933.66, 601: 933.66, 602: 933.66, 603: 933.66, 604: 1239250.9834, 605: 1239250.9834, 606: 1239250.9834, 607: 1239250.9834, 643: 170.0, 644: 170.0, 646: 170.0, 648: 170.0, 658: 170.0, 662: 170.0, 665: 170.0, 667: 170.0, 758: 0.224, 763: 0.224}),
and second one it's projection on 20 principal component anlaysis : pca_features=DenseVector([89036409.0534, 2986242.0691, 227234.8184, 108796.4282, -129553.463, 89983.1029, 223420.7277, 53740.2034, -113602.7292, -20057.1001, 33872.3162, -759.2689, 410.2222, -872.6325, -4896.6554, 4060.5014, -786.3297, -951.3851, 68464.2515, 3850.9394, 876.7108, 98.5793, 21342.2015, 863.9765, 1456.3933, -265.2494, 85325.4192, -3657.0752, 111.7979, -59.6176, -945.8667, -84.1924, 246.233, -636.8786, -749.1798, 900.8763, -177.4543, -105.4379, 272.7857, -535.0951]))] when i create the vector from orginal data frame i had order of my columns like that i can associete for each value in feature the name of variable . how i can identify names of principal component in second vector ? 2016-07-26 10:39 GMT+02:00 pseudo oduesp <pseudo20...@gmail.com>: > Hi, > when i perform PCA reduction dimension i get dense vector with length of > number of principla component my question : > > -How i get the name of features giving this vectors ? > -the values inside vectors result its value of projection of all > features on this componenets ? > - how to use it ? > > thanks > >