--- title: Featurizing Time Series keywords: fastai sidebar: home_sidebar summary: "Functions used to transform time series into a dataframe that can be used to create tabular dataloaders." description: "Functions used to transform time series into a dataframe that can be used to create tabular dataloaders." nb_path: "nbs/020_data.features.ipynb" ---
In this case we are using tsfresh that is one of the most widely known libraries used to create features from time series. You can get more details about this library here: https://tsfresh.readthedocs.io/en/latest/
get_ts_features
[source]
get_ts_features
(X
:Union
[ndarray
,Tensor
],y
:Union
[NoneType
,ndarray
,Tensor
]=None
,features
:Union
[str
,dict
]='min'
,n_jobs
:Optional
[int
]=None
, **kwargs
)
Args: X: np.array or torch.Tesnor of shape [samples, dimensions, timesteps]. y: Not required for unlabeled data. Otherwise, you need to pass it. features: 'min', 'efficient', 'all', or a dictionary. Be aware that 'efficient' and 'all' may required substantial memory and time.
dsid = 'NATOPS'
X, y, splits = get_UCR_data(dsid, return_split=False)
X.shape
(360, 24, 51)
There are 3 levels of fatures you can extract: 'min', 'efficient' and 'all'. I'd encourage you to start with min as feature creation may take a long time.
In addition to this, you can pass a dictionary to build the desired features (see tsfresh documentation in the link above).
ts_features_df = get_ts_features(X, y)
ts_features_df.shape
Feature Extraction: 100%|█████████████████████████████████████| 40/40 [00:14<00:00, 2.82it/s] /Users/nacho/opt/anaconda3/envs/py37torch110/lib/python3.7/site-packages/ipykernel_launcher.py:28: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
(360, 241)
The 'min' set creates a dataframe with 8 features per channel + 1 per target (total 193) for each time series sample (360).
cont_names = ts_features_df.columns[:-1]
y_names = 'target'
dls = get_tabular_dls(ts_features_df, splits=splits, cont_names=cont_names, y_names=y_names)
dls.show_batch()
0__sum_values | 0__median | 0__mean | 0__length | 0__standard_deviation | 0__variance | 0__root_mean_square | 0__maximum | 0__absolute_maximum | 0__minimum | 1__sum_values | 1__median | 1__mean | 1__length | 1__standard_deviation | 1__variance | 1__root_mean_square | 1__maximum | 1__absolute_maximum | 1__minimum | 2__sum_values | 2__median | 2__mean | 2__length | 2__standard_deviation | 2__variance | 2__root_mean_square | 2__maximum | 2__absolute_maximum | 2__minimum | 3__sum_values | 3__median | 3__mean | 3__length | 3__standard_deviation | 3__variance | 3__root_mean_square | 3__maximum | 3__absolute_maximum | 3__minimum | 4__sum_values | 4__median | 4__mean | 4__length | 4__standard_deviation | 4__variance | 4__root_mean_square | 4__maximum | 4__absolute_maximum | 4__minimum | 5__sum_values | 5__median | 5__mean | 5__length | 5__standard_deviation | 5__variance | 5__root_mean_square | 5__maximum | 5__absolute_maximum | 5__minimum | 6__sum_values | 6__median | 6__mean | 6__length | 6__standard_deviation | 6__variance | 6__root_mean_square | 6__maximum | 6__absolute_maximum | 6__minimum | 7__sum_values | 7__median | 7__mean | 7__length | 7__standard_deviation | 7__variance | 7__root_mean_square | 7__maximum | 7__absolute_maximum | 7__minimum | 8__sum_values | 8__median | 8__mean | 8__length | 8__standard_deviation | 8__variance | 8__root_mean_square | 8__maximum | 8__absolute_maximum | 8__minimum | 9__sum_values | 9__median | 9__mean | 9__length | 9__standard_deviation | 9__variance | 9__root_mean_square | 9__maximum | 9__absolute_maximum | 9__minimum | 10__sum_values | 10__median | 10__mean | 10__length | 10__standard_deviation | 10__variance | 10__root_mean_square | 10__maximum | 10__absolute_maximum | 10__minimum | 11__sum_values | 11__median | 11__mean | 11__length | 11__standard_deviation | 11__variance | 11__root_mean_square | 11__maximum | 11__absolute_maximum | 11__minimum | 12__sum_values | 12__median | 12__mean | 12__length | 12__standard_deviation | 12__variance | 12__root_mean_square | 12__maximum | 12__absolute_maximum | 12__minimum | 13__sum_values | 13__median | 13__mean | 13__length | 13__standard_deviation | 13__variance | 13__root_mean_square | 13__maximum | 13__absolute_maximum | 13__minimum | 14__sum_values | 14__median | 14__mean | 14__length | 14__standard_deviation | 14__variance | 14__root_mean_square | 14__maximum | 14__absolute_maximum | 14__minimum | 15__sum_values | 15__median | 15__mean | 15__length | 15__standard_deviation | 15__variance | 15__root_mean_square | 15__maximum | 15__absolute_maximum | 15__minimum | 16__sum_values | 16__median | 16__mean | 16__length | 16__standard_deviation | 16__variance | 16__root_mean_square | 16__maximum | 16__absolute_maximum | 16__minimum | 17__sum_values | 17__median | 17__mean | 17__length | 17__standard_deviation | 17__variance | 17__root_mean_square | 17__maximum | 17__absolute_maximum | 17__minimum | 18__sum_values | 18__median | 18__mean | 18__length | 18__standard_deviation | 18__variance | 18__root_mean_square | 18__maximum | 18__absolute_maximum | 18__minimum | 19__sum_values | 19__median | 19__mean | 19__length | 19__standard_deviation | 19__variance | 19__root_mean_square | 19__maximum | 19__absolute_maximum | 19__minimum | 20__sum_values | 20__median | 20__mean | 20__length | 20__standard_deviation | 20__variance | 20__root_mean_square | 20__maximum | 20__absolute_maximum | 20__minimum | 21__sum_values | 21__median | 21__mean | 21__length | 21__standard_deviation | 21__variance | 21__root_mean_square | 21__maximum | 21__absolute_maximum | 21__minimum | 22__sum_values | 22__median | 22__mean | 22__length | 22__standard_deviation | 22__variance | 22__root_mean_square | 22__maximum | 22__absolute_maximum | 22__minimum | 23__sum_values | 23__median | 23__mean | 23__length | 23__standard_deviation | 23__variance | 23__root_mean_square | 23__maximum | 23__absolute_maximum | 23__minimum | target | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | -4.150354 | -0.432566 | -0.081380 | 51.0 | 0.597360 | 0.356840 | 0.602878 | 0.778331 | 0.861279 | -0.861279 | -58.627594 | -1.552286 | -1.149561 | 51.0 | 0.601466 | 0.361761 | 1.297401 | -0.056605 | 1.699415 | -1.699415 | -45.035744 | -0.893296 | -0.883054 | 51.0 | 0.181012 | 0.032765 | 0.901415 | -0.495560 | 1.175184 | -1.175184 | 38.219048 | 0.796074 | 0.749393 | 51.0 | 0.234144 | 0.054824 | 0.785120 | 1.111021 | 1.111021 | 0.392384 | -38.509396 | -1.455609 | -0.755086 | 51.0 | 1.031962 | 1.064946 | 1.278711 | 0.693374 | 1.788006 | -1.788006 | -31.586580 | -0.608169 | -0.619345 | 51.0 | 0.421872 | 0.177976 | 0.749376 | 0.048263 | 1.458466 | -1.458466 | -31.067938 | -0.635204 | -0.609175 | 51.0 | 0.081749 | 0.006683 | 0.614636 | -0.482192 | 0.746402 | -0.746402 | -31.909603 | -0.629038 | -0.625678 | 51.0 | 0.036791 | 0.001354 | 0.626759 | -0.535260 | 0.697649 | -0.697649 | -17.736265 | -0.304125 | -0.347770 | 51.0 | 0.087451 | 0.007648 | 0.358597 | -0.237202 | 0.495997 | -0.495997 | 32.072475 | 0.629244 | 0.628872 | 51.0 | 0.025069 | 0.000628 | 0.629372 | 0.705176 | 0.705176 | 0.578095 | -29.936869 | -0.710722 | -0.586997 | 51.0 | 0.179691 | 0.032289 | 0.613885 | -0.265087 | 0.757163 | -0.757163 | -12.696542 | -0.096251 | -0.248952 | 51.0 | 0.292832 | 0.085750 | 0.384353 | 0.064884 | 0.710493 | -0.710493 | -15.762158 | -0.560294 | -0.309062 | 51.0 | 0.451446 | 0.203804 | 0.547104 | 0.387947 | 0.861255 | -0.861255 | -50.898941 | -1.250778 | -0.998018 | 51.0 | 0.350596 | 0.122918 | 1.057808 | -0.417412 | 1.338018 | -1.338018 | -37.527363 | -0.719907 | -0.735831 | 51.0 | 0.064895 | 0.004211 | 0.738687 | -0.624461 | 0.893202 | -0.893202 | 36.929703 | 0.767098 | 0.724112 | 51.0 | 0.122116 | 0.014912 | 0.734336 | 0.937925 | 0.937925 | 0.508076 | -35.144825 | -1.175173 | -0.689114 | 51.0 | 0.687803 | 0.473073 | 0.973628 | 0.371802 | 1.436428 | -1.436428 | -22.387865 | -0.307232 | -0.438978 | 51.0 | 0.260977 | 0.068109 | 0.510696 | -0.122424 | 1.079398 | -1.079398 | -12.441168 | -0.456977 | -0.243944 | 51.0 | 0.540300 | 0.291924 | 0.592817 | 0.543158 | 0.968512 | -0.968512 | -55.026745 | -1.469483 | -1.078956 | 51.0 | 0.552103 | 0.304817 | 1.212008 | -0.084885 | 1.574698 | -1.574698 | -38.722870 | -0.801516 | -0.759272 | 51.0 | 0.202432 | 0.040979 | 0.785794 | -0.339747 | 1.160803 | -1.160803 | 36.171883 | 0.779261 | 0.709253 | 51.0 | 0.187150 | 0.035025 | 0.733529 | 1.006178 | 1.006178 | 0.436847 | -39.467243 | -1.469226 | -0.773867 | 51.0 | 0.965357 | 0.931915 | 1.237249 | 0.637314 | 1.777838 | -1.777838 | -30.077049 | -0.508991 | -0.589746 | 51.0 | 0.351033 | 0.123224 | 0.686312 | -0.159678 | 1.447092 | -1.447092 | 6.0 |
1 | -13.291943 | -0.478186 | -0.260626 | 51.0 | 0.565626 | 0.319933 | 0.622783 | 0.792820 | 1.303543 | -1.303543 | -61.319569 | -1.450219 | -1.202344 | 51.0 | 0.738642 | 0.545592 | 1.411108 | 0.212865 | 2.012848 | -2.012848 | -56.104191 | -1.049989 | -1.100082 | 51.0 | 0.301088 | 0.090654 | 1.140541 | -0.652380 | 1.808150 | -1.808150 | 37.879345 | 0.528623 | 0.742732 | 51.0 | 0.421161 | 0.177376 | 0.853831 | 1.720074 | 1.720074 | 0.307349 | -17.564539 | -0.316360 | -0.344403 | 51.0 | 1.473537 | 2.171310 | 1.513249 | 1.420735 | 2.088120 | -2.088120 | -28.667639 | -0.747896 | -0.562111 | 51.0 | 0.310389 | 0.096341 | 0.642113 | -0.115223 | 1.038840 | -1.038840 | -28.772152 | -0.563779 | -0.564160 | 51.0 | 0.124031 | 0.015384 | 0.577633 | -0.245861 | 0.824872 | -0.824872 | -33.772125 | -0.645600 | -0.662199 | 51.0 | 0.114726 | 0.013162 | 0.672063 | -0.401062 | 0.818782 | -0.818782 | -15.236373 | -0.159198 | -0.298752 | 51.0 | 0.170302 | 0.029003 | 0.343883 | -0.086246 | 0.585862 | -0.585862 | 38.112534 | 0.780826 | 0.747305 | 51.0 | 0.179499 | 0.032220 | 0.768560 | 1.097624 | 1.097624 | 0.537276 | -17.315622 | -0.583021 | -0.339522 | 51.0 | 0.437091 | 0.191049 | 0.553465 | 0.450234 | 0.775951 | -0.775951 | -19.989185 | -0.264662 | -0.391945 | 51.0 | 0.217890 | 0.047476 | 0.448438 | -0.065923 | 0.795455 | -0.795455 | -19.768250 | -0.556956 | -0.387613 | 51.0 | 0.419555 | 0.176027 | 0.571201 | 0.267592 | 1.162521 | -1.162521 | -51.892273 | -1.095654 | -1.017496 | 51.0 | 0.480092 | 0.230489 | 1.125071 | -0.065249 | 1.600320 | -1.600320 | -39.717018 | -0.745883 | -0.778765 | 51.0 | 0.260267 | 0.067739 | 0.821105 | -0.417944 | 1.310366 | -1.310366 | 40.596100 | 0.665194 | 0.796002 | 51.0 | 0.278905 | 0.077788 | 0.843450 | 1.461865 | 1.461865 | 0.516946 | -16.516878 | -0.423822 | -0.323860 | 51.0 | 1.098530 | 1.206768 | 1.145274 | 1.163813 | 1.595865 | -1.595865 | -24.584900 | -0.500748 | -0.482057 | 51.0 | 0.119756 | 0.014342 | 0.496710 | -0.280011 | 0.684521 | -0.684521 | -14.034793 | -0.415769 | -0.275192 | 51.0 | 0.505788 | 0.255822 | 0.575806 | 0.657360 | 1.240724 | -1.240724 | -53.058266 | -1.193786 | -1.040358 | 51.0 | 0.601415 | 0.361700 | 1.201684 | 0.181549 | 1.764784 | -1.764784 | -55.295517 | -1.040858 | -1.084226 | 51.0 | 0.286421 | 0.082037 | 1.121420 | -0.701432 | 1.678984 | -1.678984 | 40.820068 | 0.654046 | 0.800394 | 51.0 | 0.323895 | 0.104908 | 0.863445 | 1.589356 | 1.589356 | 0.446026 | -18.153927 | -0.256226 | -0.355959 | 51.0 | 1.253342 | 1.570865 | 1.302909 | 1.182885 | 1.789366 | -1.789366 | -27.441236 | -0.664347 | -0.538063 | 51.0 | 0.272570 | 0.074294 | 0.603164 | -0.136812 | 0.977601 | -0.977601 | 6.0 |
2 | -26.369993 | -0.541299 | -0.517059 | 51.0 | 0.039179 | 0.001535 | 0.518541 | -0.452868 | 0.559545 | -0.559545 | -92.051758 | -1.793647 | -1.804936 | 51.0 | 0.039004 | 0.001521 | 1.805358 | -1.764378 | 1.951791 | -1.951791 | -35.927155 | -0.705275 | -0.704454 | 51.0 | 0.045429 | 0.002064 | 0.705917 | -0.629029 | 0.770954 | -0.770954 | 62.661503 | 0.939935 | 1.228657 | 51.0 | 0.709640 | 0.503590 | 1.418868 | 2.120925 | 2.120925 | 0.458483 | -57.456329 | -1.724902 | -1.126595 | 51.0 | 0.855248 | 0.731448 | 1.414448 | 0.300213 | 1.855833 | -1.855833 | -23.699812 | -0.450462 | -0.464702 | 51.0 | 0.112595 | 0.012678 | 0.478148 | -0.285705 | 0.623726 | -0.623726 | -31.125208 | -0.622847 | -0.610298 | 51.0 | 0.022984 | 0.000528 | 0.610731 | -0.557779 | 0.637554 | -0.637554 | -36.694515 | -0.718917 | -0.719500 | 51.0 | 0.016971 | 0.000288 | 0.719700 | -0.695670 | 0.778265 | -0.778265 | -6.442357 | -0.144027 | -0.126321 | 51.0 | 0.033981 | 0.001155 | 0.130812 | -0.070041 | 0.161564 | -0.161564 | 40.764172 | 0.681456 | 0.799298 | 51.0 | 0.238139 | 0.056710 | 0.834019 | 1.111102 | 1.111102 | 0.552852 | -25.416428 | -0.704276 | -0.498361 | 51.0 | 0.288164 | 0.083038 | 0.575676 | -0.020578 | 0.764308 | -0.764308 | -2.718482 | -0.039640 | -0.053304 | 51.0 | 0.046194 | 0.002134 | 0.070534 | 0.009132 | 0.120817 | -0.120817 | -29.257219 | -0.596503 | -0.573671 | 51.0 | 0.036931 | 0.001364 | 0.574858 | -0.513906 | 0.613934 | -0.613934 | -70.801453 | -1.392250 | -1.388264 | 51.0 | 0.038705 | 0.001498 | 1.388803 | -1.335494 | 1.483569 | -1.483569 | -24.860741 | -0.503068 | -0.487466 | 51.0 | 0.051361 | 0.002638 | 0.490164 | -0.399412 | 0.554868 | -0.554868 | 55.241459 | 0.890764 | 1.083166 | 51.0 | 0.499532 | 0.249532 | 1.192804 | 1.726409 | 1.726409 | 0.550334 | -47.054955 | -1.390331 | -0.922646 | 51.0 | 0.645009 | 0.416036 | 1.125750 | 0.124965 | 1.487803 | -1.487803 | -14.331758 | -0.274985 | -0.281015 | 51.0 | 0.115668 | 0.013379 | 0.303889 | -0.115613 | 0.459527 | -0.459527 | -19.895189 | -0.410751 | -0.390102 | 51.0 | 0.040469 | 0.001638 | 0.392195 | -0.319673 | 0.470861 | -0.470861 | -79.544144 | -1.545947 | -1.559689 | 51.0 | 0.048223 | 0.002325 | 1.560434 | -1.502446 | 1.719284 | -1.719284 | -35.871010 | -0.713294 | -0.703353 | 51.0 | 0.033074 | 0.001094 | 0.704130 | -0.635125 | 0.811442 | -0.811442 | 63.523643 | 1.030555 | 1.245562 | 51.0 | 0.591418 | 0.349775 | 1.378840 | 2.013603 | 2.013603 | 0.633188 | -50.020065 | -1.554366 | -0.980786 | 51.0 | 0.832042 | 0.692294 | 1.286171 | 0.388921 | 1.755015 | -1.755015 | -22.236259 | -0.419159 | -0.436005 | 51.0 | 0.130094 | 0.016924 | 0.455000 | -0.184703 | 0.600059 | -0.600059 | 2.0 |
3 | -22.089481 | -0.426620 | -0.433127 | 51.0 | 0.051887 | 0.002692 | 0.436224 | -0.353775 | 0.493256 | -0.493256 | -79.072937 | -1.560552 | -1.550450 | 51.0 | 0.035141 | 0.001235 | 1.550848 | -1.475678 | 1.623195 | -1.623195 | -48.691841 | -0.953417 | -0.954742 | 51.0 | 0.021985 | 0.000483 | 0.954995 | -0.907814 | 0.998319 | -0.998319 | 47.297810 | 0.649993 | 0.927408 | 51.0 | 0.424749 | 0.180412 | 1.020048 | 1.830051 | 1.830051 | 0.447356 | -19.371216 | -1.533620 | -0.379828 | 51.0 | 1.421009 | 2.019268 | 1.470897 | 1.603023 | 1.656069 | -1.656069 | -14.617298 | -0.637720 | -0.286614 | 51.0 | 0.478551 | 0.229011 | 0.557816 | 0.564454 | 0.663262 | -0.663262 | -36.714886 | -0.733394 | -0.719900 | 51.0 | 0.051507 | 0.002653 | 0.721740 | -0.645469 | 0.778831 | -0.778831 | -25.552364 | -0.470940 | -0.501027 | 51.0 | 0.054890 | 0.003013 | 0.504025 | -0.450767 | 0.609533 | -0.609533 | -6.847224 | -0.122346 | -0.134259 | 51.0 | 0.041205 | 0.001698 | 0.140440 | -0.079976 | 0.189690 | -0.189690 | 37.426327 | 0.639158 | 0.733850 | 51.0 | 0.173450 | 0.030085 | 0.754069 | 1.164017 | 1.164017 | 0.588437 | -13.343306 | -0.673153 | -0.261633 | 51.0 | 0.566572 | 0.321004 | 0.624064 | 0.630515 | 0.746939 | -0.746939 | 6.375568 | 0.068729 | 0.125011 | 51.0 | 0.151819 | 0.023049 | 0.196664 | 0.368656 | 0.368656 | -0.025980 | -28.704739 | -0.568022 | -0.562838 | 51.0 | 0.050026 | 0.002503 | 0.565057 | -0.490766 | 0.616910 | -0.616910 | -54.063286 | -1.046715 | -1.060064 | 51.0 | 0.033979 | 0.001155 | 1.060609 | -1.027859 | 1.161271 | -1.161271 | -32.238930 | -0.625409 | -0.632136 | 51.0 | 0.034916 | 0.001219 | 0.633099 | -0.577443 | 0.684264 | -0.684264 | 45.496464 | 0.672017 | 0.892088 | 51.0 | 0.311601 | 0.097095 | 0.944942 | 1.600711 | 1.600711 | 0.630026 | -16.706364 | -1.150480 | -0.327576 | 51.0 | 1.040363 | 1.082355 | 1.090716 | 1.165667 | 1.251064 | -1.251064 | -5.941157 | -0.304926 | -0.116493 | 51.0 | 0.311124 | 0.096798 | 0.332218 | 0.396875 | 0.396875 | -0.387906 | -29.257990 | -0.564004 | -0.573686 | 51.0 | 0.071533 | 0.005117 | 0.578129 | -0.337868 | 0.652336 | -0.652336 | -76.428627 | -1.494161 | -1.498600 | 51.0 | 0.042848 | 0.001836 | 1.499213 | -1.412966 | 1.614412 | -1.614412 | -44.839191 | -0.880543 | -0.879200 | 51.0 | 0.030976 | 0.000959 | 0.879745 | -0.823003 | 0.934714 | -0.934714 | 41.487835 | 0.517329 | 0.813487 | 51.0 | 0.446360 | 0.199238 | 0.927900 | 1.735987 | 1.735987 | 0.444740 | -18.961103 | -1.415916 | -0.371786 | 51.0 | 1.268295 | 1.608572 | 1.321665 | 1.450674 | 1.501040 | -1.501040 | -14.482611 | -0.537522 | -0.283973 | 51.0 | 0.351348 | 0.123445 | 0.451759 | 0.273131 | 0.644848 | -0.644848 | 1.0 |
4 | -32.628990 | -0.644253 | -0.639784 | 51.0 | 0.020251 | 0.000410 | 0.640105 | -0.572807 | 0.679860 | -0.679860 | -89.749023 | -1.733067 | -1.759785 | 51.0 | 0.056407 | 0.003182 | 1.760689 | -1.711828 | 1.927346 | -1.927346 | -32.873745 | -0.624872 | -0.644583 | 51.0 | 0.038699 | 0.001498 | 0.645744 | -0.606139 | 0.737429 | -0.737429 | 53.582626 | 0.669528 | 1.050640 | 51.0 | 0.652160 | 0.425313 | 1.236591 | 2.193117 | 2.193117 | 0.406379 | -22.418583 | -1.047039 | -0.439580 | 51.0 | 1.489712 | 2.219241 | 1.553213 | 1.570286 | 1.922065 | -1.922065 | -22.601217 | -0.572285 | -0.443161 | 51.0 | 0.230570 | 0.053163 | 0.499554 | -0.027844 | 0.701309 | -0.701309 | -33.820431 | -0.664035 | -0.663146 | 51.0 | 0.006335 | 0.000040 | 0.663176 | -0.645632 | 0.673221 | -0.673221 | -39.140232 | -0.745812 | -0.767456 | 51.0 | 0.040633 | 0.001651 | 0.768530 | -0.724313 | 0.849395 | -0.849395 | -5.892992 | -0.106280 | -0.115549 | 51.0 | 0.031008 | 0.000961 | 0.119637 | -0.072815 | 0.166745 | -0.166745 | 41.573116 | 0.809982 | 0.815159 | 51.0 | 0.202847 | 0.041147 | 0.840019 | 1.217381 | 1.217381 | 0.599070 | -13.143985 | -0.537164 | -0.257725 | 51.0 | 0.616849 | 0.380502 | 0.668524 | 0.673150 | 0.841494 | -0.841494 | -6.945975 | -0.156077 | -0.136196 | 51.0 | 0.042467 | 0.001803 | 0.142663 | -0.047679 | 0.181731 | -0.181731 | -35.198357 | -0.694434 | -0.690164 | 51.0 | 0.009910 | 0.000098 | 0.690235 | -0.670637 | 0.706775 | -0.706775 | -71.361565 | -1.372697 | -1.399246 | 51.0 | 0.053486 | 0.002861 | 1.400268 | -1.343534 | 1.580812 | -1.580812 | -23.765221 | -0.452385 | -0.465985 | 51.0 | 0.034227 | 0.001171 | 0.467240 | -0.432714 | 0.554767 | -0.554767 | 50.013210 | 0.789709 | 0.980651 | 51.0 | 0.437645 | 0.191533 | 1.073876 | 1.828212 | 1.828212 | 0.564621 | -18.617342 | -0.836133 | -0.365046 | 51.0 | 1.162697 | 1.351865 | 1.218656 | 1.316921 | 1.487885 | -1.487885 | -17.978405 | -0.443914 | -0.352518 | 51.0 | 0.151959 | 0.023092 | 0.383875 | -0.074808 | 0.500007 | -0.500007 | -28.447517 | -0.551409 | -0.557794 | 51.0 | 0.028066 | 0.000788 | 0.558500 | -0.505120 | 0.621642 | -0.621642 | -78.526917 | -1.509886 | -1.539744 | 51.0 | 0.057831 | 0.003344 | 1.540829 | -1.480418 | 1.671857 | -1.671857 | -33.922092 | -0.656946 | -0.665139 | 51.0 | 0.042927 | 0.001843 | 0.666523 | -0.610782 | 0.774058 | -0.774058 | 53.689266 | 0.806081 | 1.052731 | 51.0 | 0.530544 | 0.281477 | 1.178863 | 2.034978 | 2.034978 | 0.476695 | -20.115297 | -0.966044 | -0.394418 | 51.0 | 1.327914 | 1.763356 | 1.385251 | 1.476527 | 1.724308 | -1.724308 | -23.407701 | -0.512247 | -0.458975 | 51.0 | 0.164467 | 0.027049 | 0.487552 | -0.137660 | 0.776553 | -0.776553 | 1.0 |
5 | -24.176491 | -0.488977 | -0.474049 | 51.0 | 0.043168 | 0.001863 | 0.476010 | -0.366197 | 0.527277 | -0.527277 | -87.327805 | -1.710973 | -1.712310 | 51.0 | 0.031561 | 0.000996 | 1.712601 | -1.631805 | 1.772976 | -1.772976 | -21.451313 | -0.408822 | -0.420614 | 51.0 | 0.032761 | 0.001073 | 0.421888 | -0.376194 | 0.493162 | -0.493162 | 58.397629 | 0.748125 | 1.145051 | 51.0 | 0.692690 | 0.479820 | 1.338269 | 2.103378 | 2.103378 | 0.480623 | -48.922287 | -1.675132 | -0.959261 | 51.0 | 0.974441 | 0.949535 | 1.367375 | 0.852968 | 1.817363 | -1.817363 | -29.856304 | -0.640901 | -0.585418 | 51.0 | 0.124195 | 0.015424 | 0.598447 | -0.312080 | 0.750260 | -0.750260 | -27.958775 | -0.565279 | -0.548211 | 51.0 | 0.035193 | 0.001239 | 0.549340 | -0.492060 | 0.583746 | -0.583746 | -37.864830 | -0.732618 | -0.742448 | 51.0 | 0.041091 | 0.001688 | 0.743584 | -0.692059 | 0.802448 | -0.802448 | -0.649227 | -0.005362 | -0.012730 | 51.0 | 0.039293 | 0.001544 | 0.041304 | 0.035067 | 0.069732 | -0.069732 | 43.424145 | 0.733217 | 0.851454 | 51.0 | 0.218725 | 0.047841 | 0.879099 | 1.171012 | 1.171012 | 0.632703 | -21.846182 | -0.721695 | -0.428356 | 51.0 | 0.389760 | 0.151912 | 0.579139 | 0.287935 | 0.756129 | -0.756129 | -13.696244 | -0.290477 | -0.268554 | 51.0 | 0.049435 | 0.002444 | 0.273066 | -0.169651 | 0.314362 | -0.314362 | -28.335342 | -0.570419 | -0.555595 | 51.0 | 0.031328 | 0.000981 | 0.556478 | -0.508227 | 0.598616 | -0.598616 | -67.415817 | -1.322900 | -1.321879 | 51.0 | 0.020617 | 0.000425 | 1.322040 | -1.252832 | 1.356348 | -1.356348 | -14.509363 | -0.280158 | -0.284497 | 51.0 | 0.027159 | 0.000738 | 0.285791 | -0.237379 | 0.326241 | -0.326241 | 54.223145 | 0.808409 | 1.063199 | 51.0 | 0.487772 | 0.237921 | 1.169749 | 1.747880 | 1.747880 | 0.582484 | -38.194836 | -1.286616 | -0.748918 | 51.0 | 0.720042 | 0.518461 | 1.038913 | 0.589410 | 1.341641 | -1.341641 | -24.306427 | -0.513999 | -0.476597 | 51.0 | 0.113742 | 0.012937 | 0.489981 | -0.236320 | 0.606179 | -0.606179 | -20.204275 | -0.414832 | -0.396162 | 51.0 | 0.036496 | 0.001332 | 0.397840 | -0.328904 | 0.434622 | -0.434622 | -71.983742 | -1.408678 | -1.411446 | 51.0 | 0.031827 | 0.001013 | 1.411805 | -1.346405 | 1.477625 | -1.477625 | -23.991568 | -0.466880 | -0.470423 | 51.0 | 0.027061 | 0.000732 | 0.471201 | -0.430881 | 0.532167 | -0.532167 | 53.270744 | 0.767735 | 1.044524 | 51.0 | 0.671843 | 0.451373 | 1.241936 | 2.002148 | 2.002148 | 0.376754 | -38.753330 | -1.399783 | -0.759869 | 51.0 | 0.882002 | 0.777927 | 1.164186 | 0.885538 | 1.513484 | -1.513484 | -31.401262 | -0.670306 | -0.615711 | 51.0 | 0.152118 | 0.023140 | 0.634224 | -0.286498 | 0.862852 | -0.862852 | 2.0 |
6 | -6.016619 | -0.559591 | -0.117973 | 51.0 | 0.587422 | 0.345064 | 0.599151 | 0.673467 | 0.863061 | -0.863061 | -59.364861 | -1.720628 | -1.164017 | 51.0 | 0.790454 | 0.624818 | 1.407037 | 0.057125 | 1.929770 | -1.929770 | -42.813259 | -0.903392 | -0.839476 | 51.0 | 0.224383 | 0.050348 | 0.868946 | -0.450092 | 1.215354 | -1.215354 | 23.519859 | 0.432229 | 0.461174 | 51.0 | 0.124770 | 0.015568 | 0.477754 | 0.710500 | 0.710500 | 0.220367 | -16.209703 | 0.118847 | -0.317837 | 51.0 | 1.314500 | 1.727910 | 1.352380 | 1.112054 | 1.939464 | -1.939464 | -37.199425 | -0.725223 | -0.729400 | 51.0 | 0.380468 | 0.144756 | 0.822667 | -0.163260 | 1.562108 | -1.562108 | -28.374754 | -0.577443 | -0.556368 | 51.0 | 0.082587 | 0.006821 | 0.562464 | -0.426011 | 0.700476 | -0.700476 | -33.831715 | -0.692064 | -0.663367 | 51.0 | 0.055319 | 0.003060 | 0.665670 | -0.562892 | 0.785335 | -0.785335 | -9.785879 | -0.120882 | -0.191880 | 51.0 | 0.189782 | 0.036017 | 0.269880 | 0.029362 | 0.480300 | -0.480300 | 31.432211 | 0.615669 | 0.616318 | 51.0 | 0.047582 | 0.002264 | 0.618152 | 0.724455 | 0.724455 | 0.508044 | -17.988781 | -0.505427 | -0.352721 | 51.0 | 0.404562 | 0.163670 | 0.536733 | 0.349224 | 0.806139 | -0.806139 | -27.356274 | -0.701033 | -0.536398 | 51.0 | 0.296890 | 0.088144 | 0.613079 | -0.133365 | 0.880810 | -0.880810 | -17.563057 | -0.612013 | -0.344374 | 51.0 | 0.363105 | 0.131845 | 0.500438 | 0.263199 | 0.805357 | -0.805357 | -51.258610 | -1.292328 | -1.005071 | 51.0 | 0.465966 | 0.217124 | 1.107832 | -0.286899 | 1.439254 | -1.439254 | -32.161274 | -0.654616 | -0.630613 | 51.0 | 0.213219 | 0.045462 | 0.665684 | -0.275235 | 1.050876 | -1.050876 | 27.698662 | 0.561557 | 0.543111 | 51.0 | 0.077043 | 0.005936 | 0.548548 | 0.716459 | 0.716459 | 0.435221 | -14.300674 | -0.091825 | -0.280405 | 51.0 | 1.000590 | 1.001181 | 1.039138 | 0.962385 | 1.426472 | -1.426472 | -35.823841 | -0.588274 | -0.702428 | 51.0 | 0.258499 | 0.066822 | 0.748483 | -0.320927 | 1.462986 | -1.462986 | -12.420489 | -0.572502 | -0.243539 | 51.0 | 0.496830 | 0.246840 | 0.553309 | 0.556555 | 0.795882 | -0.795882 | -52.548584 | -1.538987 | -1.030364 | 51.0 | 0.756947 | 0.572969 | 1.278523 | 0.127194 | 1.766567 | -1.766567 | -39.116135 | -0.778130 | -0.766983 | 51.0 | 0.221984 | 0.049277 | 0.798461 | -0.459320 | 1.228481 | -1.228481 | 22.935024 | 0.383720 | 0.449706 | 51.0 | 0.130926 | 0.017142 | 0.468377 | 0.765694 | 0.765694 | 0.272558 | -14.095066 | 0.043224 | -0.276374 | 51.0 | 1.124726 | 1.265009 | 1.158184 | 0.981844 | 1.666249 | -1.666249 | -37.573940 | -0.750010 | -0.736744 | 51.0 | 0.329468 | 0.108549 | 0.807057 | -0.145154 | 1.427878 | -1.427878 | 6.0 |
7 | -30.054667 | -0.586762 | -0.589307 | 51.0 | 0.026791 | 0.000718 | 0.589916 | -0.537303 | 0.637069 | -0.637069 | -89.805847 | -1.763582 | -1.760899 | 51.0 | 0.051333 | 0.002635 | 1.761647 | -1.595123 | 1.831372 | -1.831372 | -30.299511 | -0.599651 | -0.594108 | 51.0 | 0.017791 | 0.000317 | 0.594374 | -0.555780 | 0.624197 | -0.624197 | 57.054878 | 0.590898 | 1.118723 | 51.0 | 0.690255 | 0.476451 | 1.314531 | 2.181025 | 2.181025 | 0.523483 | -54.861839 | -1.783685 | -1.075722 | 51.0 | 1.023313 | 1.047169 | 1.484705 | 0.780975 | 1.866018 | -1.866018 | -30.463106 | -0.687972 | -0.597316 | 51.0 | 0.233482 | 0.054514 | 0.641327 | -0.052382 | 0.885776 | -0.885776 | -31.239834 | -0.610331 | -0.612546 | 51.0 | 0.008938 | 0.000080 | 0.612611 | -0.589627 | 0.626576 | -0.626576 | -35.954945 | -0.707961 | -0.704999 | 51.0 | 0.009692 | 0.000094 | 0.705065 | -0.681811 | 0.723934 | -0.723934 | -1.693566 | -0.034172 | -0.033207 | 51.0 | 0.005121 | 0.000026 | 0.033600 | -0.025034 | 0.043316 | -0.043316 | 41.362114 | 0.611083 | 0.811022 | 51.0 | 0.266158 | 0.070840 | 0.853579 | 1.230610 | 1.230610 | 0.590663 | -27.009262 | -0.764834 | -0.529593 | 51.0 | 0.352210 | 0.124052 | 0.636019 | 0.164998 | 0.783654 | -0.783654 | -4.671733 | -0.120645 | -0.091603 | 51.0 | 0.039557 | 0.001565 | 0.099779 | 0.012086 | 0.132251 | -0.132251 | -33.829697 | -0.661835 | -0.663327 | 51.0 | 0.016654 | 0.000277 | 0.663536 | -0.629331 | 0.698473 | -0.698473 | -67.871452 | -1.321654 | -1.330813 | 51.0 | 0.049303 | 0.002431 | 1.331726 | -1.228574 | 1.440540 | -1.440540 | -18.070618 | -0.351222 | -0.354326 | 51.0 | 0.036134 | 0.001306 | 0.356164 | -0.280387 | 0.420330 | -0.420330 | 52.747173 | 0.672712 | 1.034258 | 51.0 | 0.501497 | 0.251499 | 1.149430 | 1.832273 | 1.832273 | 0.611130 | -44.644840 | -1.400284 | -0.875389 | 51.0 | 0.739913 | 0.547472 | 1.146201 | 0.524037 | 1.451716 | -1.451716 | -19.645128 | -0.469470 | -0.385199 | 51.0 | 0.163351 | 0.026683 | 0.418403 | -0.018850 | 0.508339 | -0.508339 | -25.314772 | -0.484376 | -0.496368 | 51.0 | 0.038528 | 0.001484 | 0.497861 | -0.424774 | 0.636847 | -0.636847 | -77.000114 | -1.515560 | -1.509806 | 51.0 | 0.045546 | 0.002074 | 1.510493 | -1.345332 | 1.600864 | -1.600864 | -31.448179 | -0.617746 | -0.616631 | 51.0 | 0.018259 | 0.000333 | 0.616901 | -0.558595 | 0.647373 | -0.647373 | 52.555771 | 0.479092 | 1.030505 | 51.0 | 0.712963 | 0.508317 | 1.253099 | 2.134455 | 2.134455 | 0.432490 | -51.433918 | -1.547762 | -1.008508 | 51.0 | 0.842653 | 0.710063 | 1.314212 | 0.560371 | 1.694775 | -1.694775 | -30.186773 | -0.691490 | -0.591898 | 51.0 | 0.220352 | 0.048555 | 0.631583 | -0.083429 | 0.843667 | -0.843667 | 2.0 |
8 | -16.060301 | -0.667104 | -0.314908 | 51.0 | 0.627565 | 0.393838 | 0.702143 | 0.812297 | 0.983708 | -0.983708 | -74.788139 | -1.897522 | -1.466434 | 51.0 | 0.800985 | 0.641577 | 1.670930 | -0.321444 | 2.274097 | -2.274097 | -59.309460 | -1.029285 | -1.162931 | 51.0 | 0.350030 | 0.122521 | 1.214466 | -0.699534 | 1.934789 | -1.934789 | 50.793800 | 0.795298 | 0.995957 | 51.0 | 0.342537 | 0.117332 | 1.053215 | 1.691689 | 1.691689 | 0.662314 | -43.320175 | -1.703624 | -0.849415 | 51.0 | 1.443293 | 2.083095 | 1.674694 | 1.171774 | 2.230080 | -2.230080 | -44.213379 | -0.858646 | -0.866929 | 51.0 | 0.205225 | 0.042117 | 0.890889 | -0.585371 | 1.341791 | -1.341791 | -34.511520 | -0.695397 | -0.676696 | 51.0 | 0.136958 | 0.018757 | 0.690417 | -0.398315 | 0.945305 | -0.945305 | -35.628326 | -0.752094 | -0.698595 | 51.0 | 0.152363 | 0.023214 | 0.715017 | -0.438759 | 0.870392 | -0.870392 | -21.092607 | -0.313079 | -0.413581 | 51.0 | 0.179414 | 0.032189 | 0.450820 | -0.235212 | 0.879265 | -0.879265 | 42.521458 | 0.793477 | 0.833754 | 51.0 | 0.112848 | 0.012735 | 0.841356 | 1.138605 | 1.138605 | 0.712911 | -31.566500 | -0.889622 | -0.618951 | 51.0 | 0.374500 | 0.140250 | 0.723430 | 0.124171 | 0.946994 | -0.946994 | -19.891979 | -0.189327 | -0.390039 | 51.0 | 0.288866 | 0.083444 | 0.485360 | -0.155909 | 0.919305 | -0.919305 | -23.640608 | -0.695592 | -0.463541 | 51.0 | 0.435593 | 0.189741 | 0.636091 | 0.436059 | 0.912495 | -0.912495 | -62.360683 | -1.449398 | -1.222759 | 51.0 | 0.569461 | 0.324286 | 1.348860 | -0.391525 | 1.833394 | -1.833394 | -48.145874 | -0.905404 | -0.944037 | 51.0 | 0.225033 | 0.050640 | 0.970487 | -0.683651 | 1.391908 | -1.391908 | 48.720406 | 0.832892 | 0.955302 | 51.0 | 0.268162 | 0.071911 | 0.992226 | 1.627967 | 1.627967 | 0.656658 | -37.167072 | -1.435417 | -0.728766 | 51.0 | 1.070713 | 1.146427 | 1.295194 | 0.923269 | 1.716019 | -1.716019 | -33.509415 | -0.583996 | -0.657047 | 51.0 | 0.171576 | 0.029438 | 0.679080 | -0.394781 | 1.083638 | -1.083638 | -19.663610 | -0.613898 | -0.385561 | 51.0 | 0.564985 | 0.319208 | 0.684007 | 0.629170 | 1.007365 | -1.007365 | -70.090225 | -1.704903 | -1.374318 | 51.0 | 0.624232 | 0.389666 | 1.509442 | -0.415971 | 2.108225 | -2.108225 | -52.366474 | -0.926542 | -1.026794 | 51.0 | 0.287308 | 0.082546 | 1.066232 | -0.679140 | 1.731807 | -1.731807 | 47.941799 | 0.909545 | 0.940035 | 51.0 | 0.348823 | 0.121677 | 1.002668 | 1.692501 | 1.692501 | 0.545740 | -40.263035 | -1.575590 | -0.789471 | 51.0 | 1.202905 | 1.446981 | 1.438835 | 0.958755 | 2.064477 | -2.064477 | -40.953861 | -0.808996 | -0.803017 | 51.0 | 0.155434 | 0.024160 | 0.817922 | -0.565620 | 1.240218 | -1.240218 | 6.0 |
9 | -35.325958 | -0.716327 | -0.692666 | 51.0 | 0.746616 | 0.557435 | 1.018440 | 0.675705 | 2.227856 | -2.227856 | -50.240242 | -1.649973 | -0.985103 | 51.0 | 0.882919 | 0.779545 | 1.322865 | 0.595470 | 1.769741 | -1.769741 | -43.784492 | -0.854625 | -0.858519 | 51.0 | 0.344355 | 0.118581 | 0.925006 | 0.057911 | 1.537225 | -1.537225 | 42.223888 | 0.788022 | 0.827919 | 51.0 | 0.715912 | 0.512530 | 1.094523 | 2.239191 | 2.239191 | -0.598289 | -54.839199 | -1.685413 | -1.075278 | 51.0 | 0.818133 | 0.669341 | 1.351135 | 0.612057 | 1.832077 | -1.832077 | -20.362839 | -0.457162 | -0.399271 | 51.0 | 0.460404 | 0.211972 | 0.609417 | 0.856180 | 1.371877 | -1.371877 | -37.779381 | -0.721153 | -0.740772 | 51.0 | 0.192792 | 0.037169 | 0.765449 | -0.347428 | 1.109891 | -1.109891 | -25.893764 | -0.660764 | -0.507721 | 51.0 | 0.221849 | 0.049217 | 0.554074 | -0.062809 | 0.701248 | -0.701248 | -16.999693 | -0.266673 | -0.333327 | 51.0 | 0.174279 | 0.030373 | 0.376139 | -0.160579 | 0.760730 | -0.760730 | 35.923653 | 0.602151 | 0.704385 | 51.0 | 0.173165 | 0.029986 | 0.725358 | 1.077855 | 1.077855 | 0.535991 | -33.310738 | -0.766126 | -0.653152 | 51.0 | 0.188555 | 0.035553 | 0.679824 | -0.233124 | 0.794142 | -0.794142 | 3.365476 | 0.101030 | 0.065990 | 51.0 | 0.211689 | 0.044812 | 0.221736 | 0.411540 | 0.411540 | -0.391043 | -37.174194 | -0.756994 | -0.728906 | 51.0 | 0.534179 | 0.285348 | 0.903688 | 0.445568 | 1.704221 | -1.704221 | -40.664139 | -1.260805 | -0.797336 | 51.0 | 0.613188 | 0.376000 | 1.005855 | 0.267926 | 1.335273 | -1.335273 | -33.628231 | -0.656351 | -0.659377 | 51.0 | 0.213429 | 0.045552 | 0.693058 | -0.345712 | 1.234546 | -1.234546 | 39.727489 | 0.724312 | 0.778970 | 51.0 | 0.488670 | 0.238798 | 0.919561 | 1.743218 | 1.743218 | -0.255513 | -44.954082 | -1.299834 | -0.881453 | 51.0 | 0.540043 | 0.291646 | 1.033733 | 0.210265 | 1.411317 | -1.411317 | -10.318247 | -0.179946 | -0.202319 | 51.0 | 0.344015 | 0.118346 | 0.399098 | 0.628464 | 1.018573 | -1.018573 | -37.053024 | -0.741383 | -0.726530 | 51.0 | 0.672777 | 0.452630 | 0.990189 | 0.653344 | 2.026216 | -2.026216 | -46.345230 | -1.434940 | -0.908730 | 51.0 | 0.742306 | 0.551018 | 1.173375 | 0.604051 | 1.582865 | -1.582865 | -40.739742 | -0.794713 | -0.798818 | 51.0 | 0.303034 | 0.091830 | 0.854366 | 0.037086 | 1.368740 | -1.368740 | 39.737450 | 0.763644 | 0.779166 | 51.0 | 0.626881 | 0.392980 | 1.000040 | 1.959837 | 1.959837 | -0.491782 | -51.506882 | -1.503687 | -1.009939 | 51.0 | 0.735450 | 0.540887 | 1.249345 | 0.475179 | 1.694034 | -1.694034 | -20.552256 | -0.483298 | -0.402985 | 51.0 | 0.397737 | 0.158195 | 0.566209 | 0.663350 | 1.459374 | -1.459374 | 4.0 |
x_cat, x_cont, yb = first(dls.train)
x_cont[:10]
tensor([[ 0.2804, 0.4747, 0.2804, ..., -0.4816, -0.3325, 0.0887], [-0.3196, -0.4142, -0.3196, ..., -0.0979, -0.7659, 0.4576], [-0.0764, -0.1685, -0.0764, ..., -0.1120, 0.7963, -0.8724], ..., [-1.3950, -0.6392, -1.3950, ..., 0.6344, 1.4236, -1.4065], [-0.0188, 0.0513, -0.0188, ..., -1.4496, -0.2021, -0.0224], [-0.3864, -0.1467, -0.3864, ..., 0.3099, 1.5548, -1.5182]])