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make predictions from a "plus" object. This function makes predictions from plus object. Is in essence a cross-validated glmnet model, optimized with the plus algorithm. It use the optimal value chosen for lambda for a fit.

predict.plus.Rd

make predictions from a "plus" object. This function makes predictions from plus object. Is in essence a cross-validated glmnet model, optimized with the plus algorithm. It use the optimal value chosen for lambda for a fit.

Usage

# S3 method for class 'plus'
predict(object, ..., newx = NULL, s = "lambda.min", type = "response")

Arguments

object

Fitted "pluse" object.

...

additional predict arguments

newx

Matrix of new values for x at which predictions are to be made. Must be a matrix; can be sparse as in Matrix package.

s

Value(s) of the penalty parameter lambda at which predictions are required. Default is the value s="lambda.min" stored on the CV object. Alternatively s="lambda.1se" can be used. If s is numeric, it is taken as the value(s) of lambda to be used. (For historical reasons we use the symbol 's' rather than 'lambda' to reference this parameter)

type

Type of prediction required. Type "link" gives the linear predictors for "binomial". Type "response" gives the fitted probabilities for "binomial". Type "coefficients" computes the coefficients at the requested values for s. Type "class" produces the class label corresponding to the maximum probability. Type "nonzero" returns a list of the indices of the nonzero coefficients for each value of s.

Value

A vector of predicted probabilities or classes

Examples

x_train <- matrix(rnorm(650 * 20), 650, 20)
x_test  <- matrix(rnorm(350 * 20), 350, 20)
y_train <- ifelse(rnorm(650) > 0, 1, 0)
y_test  <- ifelse(rnorm(350) > 0, 1, 0)
fit <- plus(x_train, y_train)
predict(fit, newx = x_test)
#>        lambda.min
#>   [1,] 0.99952688
#>   [2,] 0.99826664
#>   [3,] 0.95006667
#>   [4,] 0.95408550
#>   [5,] 0.71817550
#>   [6,] 0.89609004
#>   [7,] 0.99066159
#>   [8,] 0.96628925
#>   [9,] 0.99340019
#>  [10,] 0.89908171
#>  [11,] 0.99970437
#>  [12,] 0.97181588
#>  [13,] 0.90034216
#>  [14,] 0.99425173
#>  [15,] 0.70545914
#>  [16,] 0.99853546
#>  [17,] 0.99358192
#>  [18,] 0.99219259
#>  [19,] 0.99867484
#>  [20,] 0.99869853
#>  [21,] 0.98317854
#>  [22,] 0.94518625
#>  [23,] 0.99901150
#>  [24,] 0.99140267
#>  [25,] 0.86243051
#>  [26,] 0.50564842
#>  [27,] 0.96677281
#>  [28,] 0.97897547
#>  [29,] 0.99916021
#>  [30,] 0.99282488
#>  [31,] 0.95951688
#>  [32,] 0.99737830
#>  [33,] 0.99891396
#>  [34,] 0.98475789
#>  [35,] 0.99686883
#>  [36,] 0.99977459
#>  [37,] 0.99695951
#>  [38,] 0.98872125
#>  [39,] 0.99028407
#>  [40,] 0.99996358
#>  [41,] 0.99511237
#>  [42,] 0.93124240
#>  [43,] 0.99980979
#>  [44,] 0.93138922
#>  [45,] 0.96360917
#>  [46,] 0.99603767
#>  [47,] 0.99763972
#>  [48,] 0.99889812
#>  [49,] 0.99600753
#>  [50,] 0.99775637
#>  [51,] 0.98336897
#>  [52,] 0.99974126
#>  [53,] 0.54136471
#>  [54,] 0.99264691
#>  [55,] 0.99978732
#>  [56,] 0.99969805
#>  [57,] 0.97989975
#>  [58,] 0.76049786
#>  [59,] 0.76838942
#>  [60,] 0.99663569
#>  [61,] 0.99956113
#>  [62,] 0.99262608
#>  [63,] 0.99898344
#>  [64,] 0.97011922
#>  [65,] 0.98000019
#>  [66,] 0.99906340
#>  [67,] 0.61388953
#>  [68,] 0.42845272
#>  [69,] 0.58235109
#>  [70,] 0.17787084
#>  [71,] 0.94924514
#>  [72,] 0.97601335
#>  [73,] 0.85540157
#>  [74,] 0.94279957
#>  [75,] 0.99995642
#>  [76,] 0.99414270
#>  [77,] 0.98713214
#>  [78,] 0.96555134
#>  [79,] 0.91473442
#>  [80,] 0.99305563
#>  [81,] 0.93998815
#>  [82,] 0.95567028
#>  [83,] 0.91668182
#>  [84,] 0.32032820
#>  [85,] 0.99951421
#>  [86,] 0.96518709
#>  [87,] 0.98121623
#>  [88,] 0.99856677
#>  [89,] 0.98085392
#>  [90,] 0.96604918
#>  [91,] 0.97775515
#>  [92,] 0.98816123
#>  [93,] 0.99997147
#>  [94,] 0.99872526
#>  [95,] 0.98359881
#>  [96,] 0.99666474
#>  [97,] 0.99958109
#>  [98,] 0.99597047
#>  [99,] 0.99811515
#> [100,] 0.99815056
#> [101,] 0.99491783
#> [102,] 0.98643041
#> [103,] 0.95900408
#> [104,] 0.97619264
#> [105,] 0.99995984
#> [106,] 0.64362195
#> [107,] 0.99574357
#> [108,] 0.99987474
#> [109,] 0.96875728
#> [110,] 0.99937556
#> [111,] 0.99679332
#> [112,] 0.99731787
#> [113,] 0.76999700
#> [114,] 0.99909478
#> [115,] 0.99929260
#> [116,] 0.91688338
#> [117,] 0.99965931
#> [118,] 0.97775223
#> [119,] 0.94278448
#> [120,] 0.92666775
#> [121,] 0.99297383
#> [122,] 0.95244134
#> [123,] 0.95963912
#> [124,] 0.99632934
#> [125,] 0.99898392
#> [126,] 0.99807155
#> [127,] 0.94932098
#> [128,] 0.95111277
#> [129,] 0.61171076
#> [130,] 0.99790983
#> [131,] 0.99723203
#> [132,] 0.99812305
#> [133,] 0.98093352
#> [134,] 0.99450681
#> [135,] 0.95048557
#> [136,] 0.99701031
#> [137,] 0.98412315
#> [138,] 0.99918571
#> [139,] 0.96697211
#> [140,] 0.98225582
#> [141,] 0.78693206
#> [142,] 0.99811540
#> [143,] 0.98417046
#> [144,] 0.99974259
#> [145,] 0.97705355
#> [146,] 0.99981629
#> [147,] 0.97537563
#> [148,] 0.98749056
#> [149,] 0.89751945
#> [150,] 0.77991172
#> [151,] 0.99870850
#> [152,] 0.96519822
#> [153,] 0.98314147
#> [154,] 0.99994703
#> [155,] 0.79334085
#> [156,] 0.99050589
#> [157,] 0.94017980
#> [158,] 0.92064246
#> [159,] 0.97133130
#> [160,] 0.96550175
#> [161,] 0.99942323
#> [162,] 0.99106654
#> [163,] 0.85042749
#> [164,] 0.99844548
#> [165,] 0.98560762
#> [166,] 0.95655732
#> [167,] 0.85308287
#> [168,] 0.86856762
#> [169,] 0.98852334
#> [170,] 0.99513051
#> [171,] 0.97395070
#> [172,] 0.76870274
#> [173,] 0.97592998
#> [174,] 0.83532760
#> [175,] 0.99795539
#> [176,] 0.98678196
#> [177,] 0.99766038
#> [178,] 0.98433235
#> [179,] 0.98785907
#> [180,] 0.99921375
#> [181,] 0.99231339
#> [182,] 0.99988160
#> [183,] 0.90385970
#> [184,] 0.99922867
#> [185,] 0.99969456
#> [186,] 0.99931265
#> [187,] 0.99710261
#> [188,] 0.95600929
#> [189,] 0.99995475
#> [190,] 0.99675496
#> [191,] 0.96734902
#> [192,] 0.99918515
#> [193,] 0.99914631
#> [194,] 0.99825279
#> [195,] 0.99709456
#> [196,] 0.99960886
#> [197,] 0.98998941
#> [198,] 0.94352077
#> [199,] 0.99650393
#> [200,] 0.99578906
#> [201,] 0.99678527
#> [202,] 0.97418221
#> [203,] 0.99970727
#> [204,] 0.99957919
#> [205,] 0.93482878
#> [206,] 0.76034766
#> [207,] 0.99512727
#> [208,] 0.83108808
#> [209,] 0.97475777
#> [210,] 0.99885394
#> [211,] 0.96940475
#> [212,] 0.50633332
#> [213,] 0.97468437
#> [214,] 0.74178011
#> [215,] 0.93023632
#> [216,] 0.99639896
#> [217,] 0.84276190
#> [218,] 0.73760967
#> [219,] 0.94958557
#> [220,] 0.97246948
#> [221,] 0.99254430
#> [222,] 0.99987922
#> [223,] 0.99404677
#> [224,] 0.97222457
#> [225,] 0.99753704
#> [226,] 0.98601106
#> [227,] 0.99830249
#> [228,] 0.30401943
#> [229,] 0.92915199
#> [230,] 0.92882947
#> [231,] 0.99945105
#> [232,] 0.92208940
#> [233,] 0.95633399
#> [234,] 0.83717869
#> [235,] 0.99755945
#> [236,] 0.98745110
#> [237,] 0.78198311
#> [238,] 0.21784407
#> [239,] 0.92960626
#> [240,] 0.99317548
#> [241,] 0.98434815
#> [242,] 0.99868666
#> [243,] 0.99988135
#> [244,] 0.99978976
#> [245,] 0.99936589
#> [246,] 0.99985987
#> [247,] 0.66806612
#> [248,] 0.99807737
#> [249,] 0.76559395
#> [250,] 0.99851426
#> [251,] 0.99754203
#> [252,] 0.88907728
#> [253,] 0.99792427
#> [254,] 0.96840606
#> [255,] 0.89526065
#> [256,] 0.99360293
#> [257,] 0.99688451
#> [258,] 0.99880777
#> [259,] 0.99974118
#> [260,] 0.99666081
#> [261,] 0.99845657
#> [262,] 0.09618411
#> [263,] 0.22931346
#> [264,] 0.95812667
#> [265,] 0.99912091
#> [266,] 0.99578815
#> [267,] 0.99362551
#> [268,] 0.97764002
#> [269,] 0.99693501
#> [270,] 0.94507123
#> [271,] 0.99822979
#> [272,] 0.85636571
#> [273,] 0.99942969
#> [274,] 0.91371961
#> [275,] 0.96774398
#> [276,] 0.97233105
#> [277,] 0.98993314
#> [278,] 0.88569875
#> [279,] 0.99530879
#> [280,] 0.99009183
#> [281,] 0.99778638
#> [282,] 0.99717528
#> [283,] 0.99934641
#> [284,] 0.99954991
#> [285,] 0.21972814
#> [286,] 0.99896707
#> [287,] 0.96313421
#> [288,] 0.90622200
#> [289,] 0.99528009
#> [290,] 0.96172928
#> [291,] 0.17269413
#> [292,] 0.97054428
#> [293,] 0.99880073
#> [294,] 0.99999626
#> [295,] 0.94741665
#> [296,] 0.72187687
#> [297,] 0.98762390
#> [298,] 0.99995701
#> [299,] 0.99708484
#> [300,] 0.96248305
#> [301,] 0.98689566
#> [302,] 0.98587360
#> [303,] 0.86565631
#> [304,] 0.99966012
#> [305,] 0.99940706
#> [306,] 0.99871854
#> [307,] 0.99954578
#> [308,] 0.99836199
#> [309,] 0.91849776
#> [310,] 0.73476504
#> [311,] 0.99406814
#> [312,] 0.92795013
#> [313,] 0.67537222
#> [314,] 0.99151402
#> [315,] 0.99113571
#> [316,] 0.95920725
#> [317,] 0.99296582
#> [318,] 0.99319628
#> [319,] 0.98438150
#> [320,] 0.92271889
#> [321,] 0.96593515
#> [322,] 0.99976780
#> [323,] 0.86503618
#> [324,] 0.98315742
#> [325,] 0.99598690
#> [326,] 0.69953989
#> [327,] 0.92173317
#> [328,] 0.97251600
#> [329,] 0.99287675
#> [330,] 0.97909391
#> [331,] 0.77404907
#> [332,] 0.91890130
#> [333,] 0.97930669
#> [334,] 0.99502326
#> [335,] 0.89671826
#> [336,] 0.99818825
#> [337,] 0.97811442
#> [338,] 0.97606178
#> [339,] 0.98466123
#> [340,] 0.95461697
#> [341,] 0.99830894
#> [342,] 0.99970804
#> [343,] 0.97847242
#> [344,] 0.99330472
#> [345,] 0.99833108
#> [346,] 0.99832307
#> [347,] 0.83594783
#> [348,] 0.90259346
#> [349,] 0.88736396
#> [350,] 0.99549423