Taxi Trip Duration¶
Run the Mlflow UI:
Install packages
Append notebooks directory to sys.path
Import packages
/home/gabrieldmenezes/.cache/uv/builds-v0/.tmpEelOuC/lib/python3.11/site-packages/hyperopt/atpe.py:19: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
import pkg_resources
Set tracking uri
Set experiment
Create data directory
Download dataset
| VendorID | lpep_pickup_datetime | lpep_dropoff_datetime | store_and_fwd_flag | RatecodeID | PULocationID | DOLocationID | passenger_count | trip_distance | fare_amount | extra | mta_tax | tip_amount | tolls_amount | ehail_fee | improvement_surcharge | total_amount | payment_type | trip_type | congestion_surcharge | duration | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2 | 2021-01-01 00:15:56 | 2021-01-01 00:19:52 | N | 1.0 | 43 | 151 | 1.0 | 1.01 | 5.5 | 0.5 | 0.5 | 0.00 | 0.0 | None | 0.3 | 6.80 | 2.0 | 1.0 | 0.00 | 3.933333 |
| 1 | 2 | 2021-01-01 00:25:59 | 2021-01-01 00:34:44 | N | 1.0 | 166 | 239 | 1.0 | 2.53 | 10.0 | 0.5 | 0.5 | 2.81 | 0.0 | None | 0.3 | 16.86 | 1.0 | 1.0 | 2.75 | 8.750000 |
| 2 | 2 | 2021-01-01 00:45:57 | 2021-01-01 00:51:55 | N | 1.0 | 41 | 42 | 1.0 | 1.12 | 6.0 | 0.5 | 0.5 | 1.00 | 0.0 | None | 0.3 | 8.30 | 1.0 | 1.0 | 0.00 | 5.966667 |
| 3 | 2 | 2020-12-31 23:57:51 | 2021-01-01 00:04:56 | N | 1.0 | 168 | 75 | 1.0 | 1.99 | 8.0 | 0.5 | 0.5 | 0.00 | 0.0 | None | 0.3 | 9.30 | 2.0 | 1.0 | 0.00 | 7.083333 |
| 7 | 2 | 2021-01-01 00:26:31 | 2021-01-01 00:28:50 | N | 1.0 | 75 | 75 | 6.0 | 0.45 | 3.5 | 0.5 | 0.5 | 0.96 | 0.0 | None | 0.3 | 5.76 | 1.0 | 1.0 | 0.00 | 2.316667 |
Duration distribution
Check statistics measures, due to long tail is difficult to use the distribution chart
One hot encoding
Target
Train Model
Make predictions
Compare predictions to actual values
Calculating RMSE
Lasso model
Ridge model
Define output path
Save the model
Using xgboost
Define objective function
Hyperparameter optimization
[0] validation-rmse:10.50406
[1] validation-rmse:9.25843
[2] validation-rmse:8.36503
[3] validation-rmse:7.73652
[4] validation-rmse:7.29620
[5] validation-rmse:6.99338
[6] validation-rmse:6.78647
[7] validation-rmse:6.64093
[8] validation-rmse:6.54016
[9] validation-rmse:6.47001
[10] validation-rmse:6.41543
[11] validation-rmse:6.37604
[12] validation-rmse:6.34569
[13] validation-rmse:6.32333
[14] validation-rmse:6.30908
[15] validation-rmse:6.29706
[16] validation-rmse:6.28672
[17] validation-rmse:6.27934
[18] validation-rmse:6.27346
[19] validation-rmse:6.26895
[20] validation-rmse:6.26418
[21] validation-rmse:6.26041
[22] validation-rmse:6.25570
[23] validation-rmse:6.25287
[24] validation-rmse:6.25112
[25] validation-rmse:6.25008
[26] validation-rmse:6.24871
[27] validation-rmse:6.24716
[28] validation-rmse:6.24591
[29] validation-rmse:6.24426
[30] validation-rmse:6.24226
[31] validation-rmse:6.24230
[32] validation-rmse:6.24078
[33] validation-rmse:6.24001
[34] validation-rmse:6.23946
[35] validation-rmse:6.24073
[36] validation-rmse:6.24065
[37] validation-rmse:6.24088
[38] validation-rmse:6.24099
[39] validation-rmse:6.24114
[40] validation-rmse:6.24063
[41] validation-rmse:6.24018
[42] validation-rmse:6.23994
[43] validation-rmse:6.24085
[44] validation-rmse:6.24036
[45] validation-rmse:6.24209
[46] validation-rmse:6.24171
[47] validation-rmse:6.24196
[48] validation-rmse:6.24302
[49] validation-rmse:6.24368
[50] validation-rmse:6.24417
[51] validation-rmse:6.24502
[52] validation-rmse:6.24596
[53] validation-rmse:6.24646
[54] validation-rmse:6.24764
[55] validation-rmse:6.24914
[56] validation-rmse:6.24976
[57] validation-rmse:6.25109
[58] validation-rmse:6.25189
[59] validation-rmse:6.25380
[60] validation-rmse:6.25551
[61] validation-rmse:6.25654
[62] validation-rmse:6.25808
[63] validation-rmse:6.25919
[64] validation-rmse:6.25828
[65] validation-rmse:6.25934
[66] validation-rmse:6.25997
[67] validation-rmse:6.26065
[68] validation-rmse:6.26172
[69] validation-rmse:6.26345
[70] validation-rmse:6.26437
[71] validation-rmse:6.26443
[72] validation-rmse:6.26600
[73] validation-rmse:6.26780
[74] validation-rmse:6.26805
[75] validation-rmse:6.26895
[76] validation-rmse:6.26983
[77] validation-rmse:6.27000
[78] validation-rmse:6.27041
[79] validation-rmse:6.27341
[80] validation-rmse:6.27417
[81] validation-rmse:6.27467
[82] validation-rmse:6.27459
[83] validation-rmse:6.27506
[84] validation-rmse:6.27543
🏃 View run upbeat-crab-377 at: http://127.0.0.1:5000/#/experiments/1/runs/ee94ebac56c3438a8539e52879eaab81
🧪 View experiment at: http://127.0.0.1:5000/#/experiments/1
[0] validation-rmse:9.98516
[1] validation-rmse:8.55015
[2] validation-rmse:7.65538
[3] validation-rmse:7.10957
[4] validation-rmse:6.78914
[5] validation-rmse:6.59674
[6] validation-rmse:6.48612
[7] validation-rmse:6.41776
[8] validation-rmse:6.37235
[9] validation-rmse:6.34520
[10] validation-rmse:6.32930
[11] validation-rmse:6.31824
[12] validation-rmse:6.31424
[13] validation-rmse:6.31169
[14] validation-rmse:6.31099
[15] validation-rmse:6.31262
[16] validation-rmse:6.31063
[17] validation-rmse:6.30610
[18] validation-rmse:6.30533
[19] validation-rmse:6.30680
[20] validation-rmse:6.30939
[21] validation-rmse:6.30731
[22] validation-rmse:6.30758
[23] validation-rmse:6.30940
[24] validation-rmse:6.31147
[25] validation-rmse:6.31231
[26] validation-rmse:6.31255
[27] validation-rmse:6.31339
[28] validation-rmse:6.31877
[29] validation-rmse:6.32042
[30] validation-rmse:6.32184
[31] validation-rmse:6.32527
[32] validation-rmse:6.32843
[33] validation-rmse:6.33011
[34] validation-rmse:6.33168
[35] validation-rmse:6.33373
[36] validation-rmse:6.33503
[37] validation-rmse:6.33709
[38] validation-rmse:6.33907
[39] validation-rmse:6.34163
[40] validation-rmse:6.34323
[41] validation-rmse:6.34317
[42] validation-rmse:6.34425
[43] validation-rmse:6.34655
[44] validation-rmse:6.34828
[45] validation-rmse:6.35065
[46] validation-rmse:6.35261
[47] validation-rmse:6.35439
[48] validation-rmse:6.35363
[49] validation-rmse:6.35479
[50] validation-rmse:6.35738
[51] validation-rmse:6.35923
[52] validation-rmse:6.36296
[53] validation-rmse:6.36499
[54] validation-rmse:6.36653
[55] validation-rmse:6.36726
[56] validation-rmse:6.36936
[57] validation-rmse:6.37305
[58] validation-rmse:6.37480
[59] validation-rmse:6.37868
[60] validation-rmse:6.37992
[61] validation-rmse:6.38093
[62] validation-rmse:6.38285
[63] validation-rmse:6.38556
[64] validation-rmse:6.38668
[65] validation-rmse:6.38907
[66] validation-rmse:6.39157
[67] validation-rmse:6.39256
[68] validation-rmse:6.39342
🏃 View run carefree-donkey-126 at: http://127.0.0.1:5000/#/experiments/1/runs/5cc4acb1b9ba4282b284d9dbc6ce29e4
🧪 View experiment at: http://127.0.0.1:5000/#/experiments/1
[0] validation-rmse:9.22321
[1] validation-rmse:7.71456
[2] validation-rmse:6.99328
[3] validation-rmse:6.64096
[4] validation-rmse:6.47080
[5] validation-rmse:6.38130
[6] validation-rmse:6.32790
[7] validation-rmse:6.29505
[8] validation-rmse:6.27010
[9] validation-rmse:6.25481
[10] validation-rmse:6.24821
[11] validation-rmse:6.24231
[12] validation-rmse:6.23753
[13] validation-rmse:6.23235
[14] validation-rmse:6.23158
[15] validation-rmse:6.23091
[16] validation-rmse:6.22928
[17] validation-rmse:6.23090
[18] validation-rmse:6.22986
[19] validation-rmse:6.23037
[20] validation-rmse:6.23080
[21] validation-rmse:6.23233
[22] validation-rmse:6.23098
[23] validation-rmse:6.23126
[24] validation-rmse:6.23401
[25] validation-rmse:6.23202
[26] validation-rmse:6.23274
[27] validation-rmse:6.23289
[28] validation-rmse:6.23261
[29] validation-rmse:6.23371
[30] validation-rmse:6.23552
[31] validation-rmse:6.23843
[32] validation-rmse:6.23816
[33] validation-rmse:6.23756
[34] validation-rmse:6.23877
[35] validation-rmse:6.23802
[36] validation-rmse:6.23891
[37] validation-rmse:6.23960
[38] validation-rmse:6.23995
[39] validation-rmse:6.24062
[40] validation-rmse:6.24128
[41] validation-rmse:6.24233
[42] validation-rmse:6.24267
[43] validation-rmse:6.24140
[44] validation-rmse:6.24151
[45] validation-rmse:6.24126
[46] validation-rmse:6.24267
[47] validation-rmse:6.24335
[48] validation-rmse:6.24431
[49] validation-rmse:6.24654
[50] validation-rmse:6.24479
[51] validation-rmse:6.24547
[52] validation-rmse:6.24639
[53] validation-rmse:6.24605
[54] validation-rmse:6.24756
[55] validation-rmse:6.24858
[56] validation-rmse:6.24816
[57] validation-rmse:6.24737
[58] validation-rmse:6.24585
[59] validation-rmse:6.24702
[60] validation-rmse:6.24807
[61] validation-rmse:6.25098
[62] validation-rmse:6.25405
[63] validation-rmse:6.25276
[64] validation-rmse:6.25321
[65] validation-rmse:6.25485
[66] validation-rmse:6.25546
🏃 View run youthful-shad-679 at: http://127.0.0.1:5000/#/experiments/1/runs/f2d341e9d5f24d46bb2e01d7b4d68ba0
🧪 View experiment at: http://127.0.0.1:5000/#/experiments/1
[0] validation-rmse:10.99739
[1] validation-rmse:10.02581
[2] validation-rmse:9.24725
[3] validation-rmse:8.63670
[4] validation-rmse:8.15847
[5] validation-rmse:7.79132
[6] validation-rmse:7.50477
[7] validation-rmse:7.28727
[8] validation-rmse:7.12022
[9] validation-rmse:6.99941
[10] validation-rmse:6.90740
[11] validation-rmse:6.83943
[12] validation-rmse:6.78718
[13] validation-rmse:6.74916
[14] validation-rmse:6.72169
[15] validation-rmse:6.70364
[16] validation-rmse:6.68866
[17] validation-rmse:6.67860
[18] validation-rmse:6.67086
[19] validation-rmse:6.66528
[20] validation-rmse:6.66161
[21] validation-rmse:6.65782
[22] validation-rmse:6.65712
[23] validation-rmse:6.65770
[24] validation-rmse:6.65955
[25] validation-rmse:6.66021
[26] validation-rmse:6.66270
[27] validation-rmse:6.66416
[28] validation-rmse:6.66437
[29] validation-rmse:6.66675
[30] validation-rmse:6.66882
[31] validation-rmse:6.66939
[32] validation-rmse:6.67197
[33] validation-rmse:6.67377
[34] validation-rmse:6.67635
[35] validation-rmse:6.67786
[36] validation-rmse:6.67899
[37] validation-rmse:6.67999
[38] validation-rmse:6.68153
[39] validation-rmse:6.68218
[40] validation-rmse:6.68404
[41] validation-rmse:6.68518
[42] validation-rmse:6.68757
[43] validation-rmse:6.68891
[44] validation-rmse:6.69043
[45] validation-rmse:6.69241
[46] validation-rmse:6.69447
[47] validation-rmse:6.69589
[48] validation-rmse:6.69693
[49] validation-rmse:6.69788
[50] validation-rmse:6.69908
[51] validation-rmse:6.70065
[52] validation-rmse:6.70180
[53] validation-rmse:6.70260
[54] validation-rmse:6.70381
[55] validation-rmse:6.70462
[56] validation-rmse:6.70544
[57] validation-rmse:6.70658
[58] validation-rmse:6.70703
[59] validation-rmse:6.70795
[60] validation-rmse:6.70823
[61] validation-rmse:6.70945
[62] validation-rmse:6.70972
[63] validation-rmse:6.71029
[64] validation-rmse:6.71137
[65] validation-rmse:6.71219
[66] validation-rmse:6.71230
[67] validation-rmse:6.71314
[68] validation-rmse:6.71368
[69] validation-rmse:6.71415
[70] validation-rmse:6.71473
[71] validation-rmse:6.71537
[72] validation-rmse:6.71592
🏃 View run rogue-midge-630 at: http://127.0.0.1:5000/#/experiments/1/runs/662c45db2cd743d7bf9047ce843e39a2
🧪 View experiment at: http://127.0.0.1:5000/#/experiments/1
[0] validation-rmse:10.05404
[1] validation-rmse:8.66634
[2] validation-rmse:7.79651
[3] validation-rmse:7.26867
[4] validation-rmse:6.95565
[5] validation-rmse:6.77553
[6] validation-rmse:6.67744
[7] validation-rmse:6.62239
[8] validation-rmse:6.59144
[9] validation-rmse:6.57479
[10] validation-rmse:6.56212
[11] validation-rmse:6.56097
[12] validation-rmse:6.55772
[13] validation-rmse:6.55620
[14] validation-rmse:6.55948
[15] validation-rmse:6.56249
[16] validation-rmse:6.56592
[17] validation-rmse:6.57003
[18] validation-rmse:6.57292
[19] validation-rmse:6.57656
[20] validation-rmse:6.58083
[21] validation-rmse:6.58476
[22] validation-rmse:6.58931
[23] validation-rmse:6.59305
[24] validation-rmse:6.59406
[25] validation-rmse:6.59738
[26] validation-rmse:6.60201
[27] validation-rmse:6.60468
[28] validation-rmse:6.60588
[29] validation-rmse:6.60716
[30] validation-rmse:6.61019
[31] validation-rmse:6.61267
[32] validation-rmse:6.61447
[33] validation-rmse:6.61681
[34] validation-rmse:6.61839
[35] validation-rmse:6.62052
[36] validation-rmse:6.62312
[37] validation-rmse:6.62436
[38] validation-rmse:6.62713
[39] validation-rmse:6.62790
[40] validation-rmse:6.62941
[41] validation-rmse:6.63151
[42] validation-rmse:6.63424
[43] validation-rmse:6.63626
[44] validation-rmse:6.63746
[45] validation-rmse:6.63948
[46] validation-rmse:6.64007
[47] validation-rmse:6.64181
[48] validation-rmse:6.64260
[49] validation-rmse:6.64480
[50] validation-rmse:6.64693
[51] validation-rmse:6.64863
[52] validation-rmse:6.64979
[53] validation-rmse:6.65274
[54] validation-rmse:6.65504
[55] validation-rmse:6.65699
[56] validation-rmse:6.65806
[57] validation-rmse:6.65973
[58] validation-rmse:6.66090
[59] validation-rmse:6.66197
[60] validation-rmse:6.66281
[61] validation-rmse:6.66319
[62] validation-rmse:6.66384
[63] validation-rmse:6.66447
🏃 View run loud-mole-846 at: http://127.0.0.1:5000/#/experiments/1/runs/32ee70745151419a838ee266cba34abe
🧪 View experiment at: http://127.0.0.1:5000/#/experiments/1
[0] validation-rmse:9.67923
[1] validation-rmse:8.19422
[2] validation-rmse:7.36883
[3] validation-rmse:6.90963
[4] validation-rmse:6.65712
[5] validation-rmse:6.51419
[6] validation-rmse:6.42616
[7] validation-rmse:6.37189
[8] validation-rmse:6.33828
[9] validation-rmse:6.31175
[10] validation-rmse:6.29504
[11] validation-rmse:6.28594
[12] validation-rmse:6.27700
[13] validation-rmse:6.27055
[14] validation-rmse:6.26575
[15] validation-rmse:6.26315
[16] validation-rmse:6.26212
[17] validation-rmse:6.25887
[18] validation-rmse:6.25393
[19] validation-rmse:6.25209
[20] validation-rmse:6.24900
[21] validation-rmse:6.24679
[22] validation-rmse:6.24518
[23] validation-rmse:6.24354
[24] validation-rmse:6.24250
[25] validation-rmse:6.24153
[26] validation-rmse:6.24071
[27] validation-rmse:6.24026
[28] validation-rmse:6.24014
[29] validation-rmse:6.24270
[30] validation-rmse:6.24451
[31] validation-rmse:6.24194
[32] validation-rmse:6.23967
[33] validation-rmse:6.23734
[34] validation-rmse:6.23675
[35] validation-rmse:6.23635
[36] validation-rmse:6.23687
[37] validation-rmse:6.23772
[38] validation-rmse:6.23676
[39] validation-rmse:6.23646
[40] validation-rmse:6.23614
[41] validation-rmse:6.23597
[42] validation-rmse:6.23796
[43] validation-rmse:6.23886
[44] validation-rmse:6.23928
[45] validation-rmse:6.23913
[46] validation-rmse:6.24002
[47] validation-rmse:6.24190
[48] validation-rmse:6.24218
[49] validation-rmse:6.24260
[50] validation-rmse:6.24256
[51] validation-rmse:6.24297
[52] validation-rmse:6.24246
[53] validation-rmse:6.24230
[54] validation-rmse:6.24388
[55] validation-rmse:6.24429
[56] validation-rmse:6.24621
[57] validation-rmse:6.24629
[58] validation-rmse:6.24671
[59] validation-rmse:6.24767
[60] validation-rmse:6.24822
[61] validation-rmse:6.24852
[62] validation-rmse:6.24857
[63] validation-rmse:6.24999
[64] validation-rmse:6.24929
[65] validation-rmse:6.25144
[66] validation-rmse:6.25222
[67] validation-rmse:6.25159
[68] validation-rmse:6.25233
[69] validation-rmse:6.25135
[70] validation-rmse:6.25132
[71] validation-rmse:6.25185
[72] validation-rmse:6.25304
[73] validation-rmse:6.25133
[74] validation-rmse:6.25175
[75] validation-rmse:6.25336
[76] validation-rmse:6.25443
[77] validation-rmse:6.25547
[78] validation-rmse:6.25619
[79] validation-rmse:6.25605
[80] validation-rmse:6.25692
[81] validation-rmse:6.25799
[82] validation-rmse:6.25902
[83] validation-rmse:6.25992
[84] validation-rmse:6.25975
[85] validation-rmse:6.26029
[86] validation-rmse:6.26091
[87] validation-rmse:6.26220
[88] validation-rmse:6.26353
[89] validation-rmse:6.26497
[90] validation-rmse:6.26573
[91] validation-rmse:6.26641
🏃 View run respected-panda-498 at: http://127.0.0.1:5000/#/experiments/1/runs/99a1cd24ed114052a583a6685336d2dc
🧪 View experiment at: http://127.0.0.1:5000/#/experiments/1
[0] validation-rmse:6.87775
[1] validation-rmse:6.59367
[2] validation-rmse:6.55470
[3] validation-rmse:6.54358
[4] validation-rmse:6.54960
[5] validation-rmse:6.55589
[6] validation-rmse:6.56360
[7] validation-rmse:6.57262
[8] validation-rmse:6.59141
[9] validation-rmse:6.60978
[10] validation-rmse:6.61680
[11] validation-rmse:6.62235
[12] validation-rmse:6.63592
[13] validation-rmse:6.65233
[14] validation-rmse:6.66923
[15] validation-rmse:6.69064
[16] validation-rmse:6.69777
[17] validation-rmse:6.70691
[18] validation-rmse:6.72024
[19] validation-rmse:6.72538
[20] validation-rmse:6.74216
[21] validation-rmse:6.75532
[22] validation-rmse:6.76918
[23] validation-rmse:6.77272
[24] validation-rmse:6.78260
[25] validation-rmse:6.79191
[26] validation-rmse:6.80047
[27] validation-rmse:6.81077
[28] validation-rmse:6.81477
[29] validation-rmse:6.81997
[30] validation-rmse:6.83368
[31] validation-rmse:6.84210
[32] validation-rmse:6.85051
[33] validation-rmse:6.86299
[34] validation-rmse:6.86984
[35] validation-rmse:6.87445
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[50] validation-rmse:6.94226
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[52] validation-rmse:6.95117
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🏃 View run illustrious-dog-263 at: http://127.0.0.1:5000/#/experiments/1/runs/a760b88474c5439cb438ade68748ea6b
🧪 View experiment at: http://127.0.0.1:5000/#/experiments/1
[0] validation-rmse:9.70876
[1] validation-rmse:8.23377
[2] validation-rmse:7.40771
[3] validation-rmse:6.96020
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🏃 View run big-mink-199 at: http://127.0.0.1:5000/#/experiments/1/runs/b776080a084f4466ad39080693a01c1c
🧪 View experiment at: http://127.0.0.1:5000/#/experiments/1
[0] validation-rmse:10.34936
[1] validation-rmse:9.04272
[2] validation-rmse:8.14645
[3] validation-rmse:7.54660
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🏃 View run luminous-shark-855 at: http://127.0.0.1:5000/#/experiments/1/runs/9a573a7d2fa64bf6ad225d713c0f1ac0
🧪 View experiment at: http://127.0.0.1:5000/#/experiments/1
[0] validation-rmse:10.73444
[1] validation-rmse:9.60201
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[3] validation-rmse:8.11001
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🏃 View run delightful-newt-303 at: http://127.0.0.1:5000/#/experiments/1/runs/b48cf3d806c04a299df29ab192e552c6
🧪 View experiment at: http://127.0.0.1:5000/#/experiments/1
[0] validation-rmse:7.61228
[1] validation-rmse:6.63061
[2] validation-rmse:6.40026
[3] validation-rmse:6.32974
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🏃 View run polite-flea-466 at: http://127.0.0.1:5000/#/experiments/1/runs/b5fc6c575268425382676e9b4cd6ca50
🧪 View experiment at: http://127.0.0.1:5000/#/experiments/1
[0] validation-rmse:11.29294
[1] validation-rmse:10.50693
[2] validation-rmse:9.84232
[3] validation-rmse:9.28011
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[420] validation-rmse:6.19186
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[422] validation-rmse:6.19239
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[426] validation-rmse:6.19211
[427] validation-rmse:6.19230
[428] validation-rmse:6.19229
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[430] validation-rmse:6.19249
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[432] validation-rmse:6.19278
[433] validation-rmse:6.19250
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[435] validation-rmse:6.19278
[436] validation-rmse:6.19269
[437] validation-rmse:6.19261
[438] validation-rmse:6.19270
[439] validation-rmse:6.19284
[440] validation-rmse:6.19266
[441] validation-rmse:6.19256
[442] validation-rmse:6.19269
[443] validation-rmse:6.19260
[444] validation-rmse:6.19252
[445] validation-rmse:6.19235
[446] validation-rmse:6.19221
[447] validation-rmse:6.19213
[448] validation-rmse:6.19199
[449] validation-rmse:6.19193
[450] validation-rmse:6.19182
[451] validation-rmse:6.19186
[452] validation-rmse:6.19183
[453] validation-rmse:6.19184
🏃 View run intelligent-mule-179 at: http://127.0.0.1:5000/#/experiments/1/runs/9eae489bf9cb4a51a9a7db1a129c310a
🧪 View experiment at: http://127.0.0.1:5000/#/experiments/1
[0] validation-rmse:11.57280
[1] validation-rmse:10.99563
[2] validation-rmse:10.47742
[3] validation-rmse:10.00986
[4] validation-rmse:9.59143
[5] validation-rmse:9.21790
[6] validation-rmse:8.88420
[7] validation-rmse:8.58727
[8] validation-rmse:8.32263
[9] validation-rmse:8.08849
[10] validation-rmse:7.88050
[11] validation-rmse:7.69750
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[13] validation-rmse:7.39237
[14] validation-rmse:7.26670
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[17] validation-rmse:6.97017
[18] validation-rmse:6.89397
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[22] validation-rmse:6.66733
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[27] validation-rmse:6.50107
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[30] validation-rmse:6.43618
[31] validation-rmse:6.41851
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[35] validation-rmse:6.36305
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[39] validation-rmse:6.32415
[40] validation-rmse:6.31655
[41] validation-rmse:6.30951
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[43] validation-rmse:6.29670
[44] validation-rmse:6.29101
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[66] validation-rmse:6.22970
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[69] validation-rmse:6.22618
[70] validation-rmse:6.22533
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[110] validation-rmse:6.20158
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[119] validation-rmse:6.19815
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[137] validation-rmse:6.19561
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[140] validation-rmse:6.19486
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[142] validation-rmse:6.19452
[143] validation-rmse:6.19482
[144] validation-rmse:6.19495
[145] validation-rmse:6.19469
[146] validation-rmse:6.19443
[147] validation-rmse:6.19425
[148] validation-rmse:6.19433
[149] validation-rmse:6.19397
[150] validation-rmse:6.19429
🏃 View run intelligent-cod-274 at: http://127.0.0.1:5000/#/experiments/1/runs/0628d95d467742568f42c2d21f2e880c
🧪 View experiment at: http://127.0.0.1:5000/#/experiments/1
24%|██▍ | 12/50 [11:51<37:33, 59.29s/trial, best loss: 6.191835340670738]
---------------------------------------------------------------------------KeyboardInterrupt Traceback (most recent call last)Cell In[85], line 11
1 search_space = {
2 "max_depth": scope.int(hp.quniform("max_depth", 4, 100, 1)),
3 "learning_rate": hp.loguniform("learning_rate", -3, 0),
(...) 8 "seed": 42,
9 }
---> 11 best_result = fmin(
12 fn=objective,
13 space=search_space,
14 algo=tpe.suggest,
15 max_evals=50,
16 trials=Trials(),
17 )File ~/.cache/uv/builds-v0/.tmpEelOuC/lib/python3.11/site-packages/hyperopt/fmin.py:540, in fmin(fn, space, algo, max_evals, timeout, loss_threshold, trials, rstate, allow_trials_fmin, pass_expr_memo_ctrl, catch_eval_exceptions, verbose, return_argmin, points_to_evaluate, max_queue_len, show_progressbar, early_stop_fn, trials_save_file)
537 fn = __objective_fmin_wrapper(fn)
539 if allow_trials_fmin and hasattr(trials, "fmin"):
--> 540 return trials.fmin(
541 fn,
542 space,
543 algo=algo,
544 max_evals=max_evals,
545 timeout=timeout,
546 loss_threshold=loss_threshold,
547 max_queue_len=max_queue_len,
548 rstate=rstate,
549 pass_expr_memo_ctrl=pass_expr_memo_ctrl,
550 verbose=verbose,
551 catch_eval_exceptions=catch_eval_exceptions,
552 return_argmin=return_argmin,
553 show_progressbar=show_progressbar,
554 early_stop_fn=early_stop_fn,
555 trials_save_file=trials_save_file,
556 )
558 if trials is None:
559 if os.path.exists(trials_save_file):File ~/.cache/uv/builds-v0/.tmpEelOuC/lib/python3.11/site-packages/hyperopt/base.py:671, in Trials.fmin(self, fn, space, algo, max_evals, timeout, loss_threshold, max_queue_len, rstate, verbose, pass_expr_memo_ctrl, catch_eval_exceptions, return_argmin, show_progressbar, early_stop_fn, trials_save_file)
666 # -- Stop-gap implementation!
667 # fmin should have been a Trials method in the first place
668 # but for now it's still sitting in another file.
669 from .fmin import fmin
--> 671 return fmin(
672 fn,
673 space,
674 algo=algo,
675 max_evals=max_evals,
676 timeout=timeout,
677 loss_threshold=loss_threshold,
678 trials=self,
679 rstate=rstate,
680 verbose=verbose,
681 max_queue_len=max_queue_len,
682 allow_trials_fmin=False, # -- prevent recursion
683 pass_expr_memo_ctrl=pass_expr_memo_ctrl,
684 catch_eval_exceptions=catch_eval_exceptions,
685 return_argmin=return_argmin,
686 show_progressbar=show_progressbar,
687 early_stop_fn=early_stop_fn,
688 trials_save_file=trials_save_file,
689 )File ~/.cache/uv/builds-v0/.tmpEelOuC/lib/python3.11/site-packages/hyperopt/fmin.py:586, in fmin(fn, space, algo, max_evals, timeout, loss_threshold, trials, rstate, allow_trials_fmin, pass_expr_memo_ctrl, catch_eval_exceptions, verbose, return_argmin, points_to_evaluate, max_queue_len, show_progressbar, early_stop_fn, trials_save_file)
583 rval.catch_eval_exceptions = catch_eval_exceptions
585 # next line is where the fmin is actually executed
--> 586 rval.exhaust()
588 if return_argmin:
589 if len(trials.trials) == 0:File ~/.cache/uv/builds-v0/.tmpEelOuC/lib/python3.11/site-packages/hyperopt/fmin.py:364, in FMinIter.exhaust(self)
362 def exhaust(self):
363 n_done = len(self.trials)
--> 364 self.run(self.max_evals - n_done, block_until_done=self.asynchronous)
365 self.trials.refresh()
366 return selfFile ~/.cache/uv/builds-v0/.tmpEelOuC/lib/python3.11/site-packages/hyperopt/fmin.py:300, in FMinIter.run(self, N, block_until_done)
297 time.sleep(self.poll_interval_secs)
298 else:
299 # -- loop over trials and do the jobs directly
--> 300 self.serial_evaluate()
302 self.trials.refresh()
303 if self.trials_save_file != "":File ~/.cache/uv/builds-v0/.tmpEelOuC/lib/python3.11/site-packages/hyperopt/fmin.py:178, in FMinIter.serial_evaluate(self, N)
176 ctrl = base.Ctrl(self.trials, current_trial=trial)
177 try:
--> 178 result = self.domain.evaluate(spec, ctrl)
179 except Exception as e:
180 logger.error("job exception: %s" % str(e))File ~/.cache/uv/builds-v0/.tmpEelOuC/lib/python3.11/site-packages/hyperopt/base.py:892, in Domain.evaluate(self, config, ctrl, attach_attachments)
883 else:
884 # -- the "work" of evaluating config can be written
885 # either into the pyll part (self.expr)
886 # or the normal Python part (self.fn)
887 pyll_rval = pyll.rec_eval(
888 self.expr,
889 memo=memo,
890 print_node_on_error=self.rec_eval_print_node_on_error,
891 )
--> 892 rval = self.fn(pyll_rval)
894 if isinstance(rval, (float, int, np.number)):
895 dict_rval = {"loss": float(rval), "status": STATUS_OK}Cell In[83], line 5, in objective(params)
3 mlflow.set_tag("model", "xgboost")
4 mlflow.log_params(params)
----> 5 booster = xgb.train(
6 params=params,
7 dtrain=train,
8 num_boost_round=1000,
9 evals=[(valid, "validation")],
10 early_stopping_rounds=50,
11 )
12 y_pred = booster.predict(valid)
13 rmse = root_mean_squared_error(y_validation, y_pred)File ~/.cache/uv/builds-v0/.tmpEelOuC/lib/python3.11/site-packages/xgboost/core.py:774, in require_keyword_args.
Train model with autolog
[0] validation-rmse:11.42590
[1] validation-rmse:10.73579
[2] validation-rmse:10.13221
[3] validation-rmse:9.60467
[4] validation-rmse:9.14350
[5] validation-rmse:8.74783
[6] validation-rmse:8.40625
[7] validation-rmse:8.10997
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[9] validation-rmse:7.64037
[10] validation-rmse:7.45297
[11] validation-rmse:7.29362
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[14] validation-rmse:6.94028
[15] validation-rmse:6.85573
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[19] validation-rmse:6.61703
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[67] validation-rmse:6.23917
[68] validation-rmse:6.23913
[69] validation-rmse:6.23778
[70] validation-rmse:6.23628
[71] validation-rmse:6.23606
[72] validation-rmse:6.23570
[73] validation-rmse:6.23546
[74] validation-rmse:6.23568
[75] validation-rmse:6.23444
[76] validation-rmse:6.23487
[77] validation-rmse:6.23284
[78] validation-rmse:6.23168
[79] validation-rmse:6.23126
[80] validation-rmse:6.23126
[81] validation-rmse:6.23156
[82] validation-rmse:6.23137
[83] validation-rmse:6.23131
[84] validation-rmse:6.23077
[85] validation-rmse:6.23119
[86] validation-rmse:6.23100
[87] validation-rmse:6.22974
[88] validation-rmse:6.22948
[89] validation-rmse:6.22974
[90] validation-rmse:6.23016
[91] validation-rmse:6.22990
[92] validation-rmse:6.23011
[93] validation-rmse:6.23039
[94] validation-rmse:6.22956
[95] validation-rmse:6.22990
[96] validation-rmse:6.23063
[97] validation-rmse:6.23059
[98] validation-rmse:6.23067
[99] validation-rmse:6.23103
Pipeline¶
Converting to a pipeline
| taxi-trip-duration-pipeline.py | |
|---|---|
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