diff --git a/.github/workflows/ci.yaml b/.github/workflows/ci.yaml
index 86bed8eb..3afa27c5 100644
--- a/.github/workflows/ci.yaml
+++ b/.github/workflows/ci.yaml
@@ -79,7 +79,7 @@ jobs:
           python-version: ${{ matrix.python-version }}
 
       - name: Install pip requirements
-        run: pip install uv && uv pip install --system ".[dev]" && pip install matplotlib
+        run: pip install uv && uv pip install --system ".[dev]"
 
       - name: Install OpenMP
         if: startsWith(matrix.os, 'macos')
diff --git a/nbs/assets/arima_rst.csv b/nbs/assets/arima_rst.csv
new file mode 100644
index 00000000..564a3405
--- /dev/null
+++ b/nbs/assets/arima_rst.csv
@@ -0,0 +1,197 @@
+,unique_id,ds,AutoARIMA
+0,FOODS_1,2016-04-25,2567.6380220997385
+1,FOODS_1,2016-04-26,2640.0126507600617
+2,FOODS_1,2016-04-27,2654.020161270193
+3,FOODS_1,2016-04-28,2796.440947432241
+4,FOODS_1,2016-04-29,3208.3811781219893
+5,FOODS_1,2016-04-30,3773.861663861278
+6,FOODS_1,2016-05-01,3299.79743620078
+7,FOODS_1,2016-05-02,2640.917833365884
+8,FOODS_1,2016-05-03,2694.336636469822
+9,FOODS_1,2016-05-04,2694.1035608286916
+10,FOODS_1,2016-05-05,2835.3163066249176
+11,FOODS_1,2016-05-06,3236.293019356992
+12,FOODS_1,2016-05-07,3797.241666185409
+13,FOODS_1,2016-05-08,3321.3663551719346
+14,FOODS_1,2016-05-09,2657.5206296593224
+15,FOODS_1,2016-05-10,2707.524732902354
+16,FOODS_1,2016-05-11,2704.747898679939
+17,FOODS_1,2016-05-12,2843.9075334840127
+18,FOODS_1,2016-05-13,3243.2271452721875
+19,FOODS_1,2016-05-14,3802.8383176295374
+20,FOODS_1,2016-05-15,3325.8835081296597
+21,FOODS_1,2016-05-16,2661.1665009534677
+22,FOODS_1,2016-05-17,2710.4673778864567
+23,FOODS_1,2016-05-18,2707.1229576998144
+24,FOODS_1,2016-05-19,2845.8244841791743
+25,FOODS_1,2016-05-20,3244.7743489150994
+26,FOODS_1,2016-05-21,3804.0870921121996
+27,FOODS_1,2016-05-22,3326.8914153406417
+28,FOODS_2,2016-04-25,5247.139313835306
+29,FOODS_2,2016-04-26,4792.960953564678
+30,FOODS_2,2016-04-27,4590.964924105041
+31,FOODS_2,2016-04-28,4600.860960731239
+32,FOODS_2,2016-04-29,4942.967875785429
+33,FOODS_2,2016-04-30,6337.5344008647035
+34,FOODS_2,2016-05-01,6757.903656868389
+35,FOODS_2,2016-05-02,5607.448278542931
+36,FOODS_2,2016-05-03,5244.736379588703
+37,FOODS_2,2016-05-04,5004.324139775963
+38,FOODS_2,2016-05-05,4898.957821332703
+39,FOODS_2,2016-05-06,5310.50858073175
+40,FOODS_2,2016-05-07,6641.501751486881
+41,FOODS_2,2016-05-08,6994.60266694966
+42,FOODS_2,2016-05-09,5779.319357423172
+43,FOODS_2,2016-05-10,5407.162676474501
+44,FOODS_2,2016-05-11,5083.913842178118
+45,FOODS_2,2016-05-12,4944.398003219373
+46,FOODS_2,2016-05-13,5311.376375871703
+47,FOODS_2,2016-05-14,6593.071399563353
+48,FOODS_2,2016-05-15,6919.214380455565
+49,FOODS_2,2016-05-16,5687.59113569716
+50,FOODS_2,2016-05-17,5289.695188706264
+51,FOODS_2,2016-05-18,4961.060422560739
+52,FOODS_2,2016-05-19,4815.1162421391555
+53,FOODS_2,2016-05-20,5184.318070407874
+54,FOODS_2,2016-05-21,6467.664979048176
+55,FOODS_2,2016-05-22,6807.52592255971
+56,FOODS_3,2016-04-25,17666.731556718732
+57,FOODS_3,2016-04-26,16540.541376421595
+58,FOODS_3,2016-04-27,16160.633071055223
+59,FOODS_3,2016-04-28,16370.683658640599
+60,FOODS_3,2016-04-29,17889.869101221244
+61,FOODS_3,2016-04-30,22332.436097780206
+62,FOODS_3,2016-05-01,22713.044590532798
+63,FOODS_3,2016-05-02,17468.426315986457
+64,FOODS_3,2016-05-03,16293.254187261948
+65,FOODS_3,2016-05-04,15975.967829497
+66,FOODS_3,2016-05-05,16301.448695311468
+67,FOODS_3,2016-05-06,17742.192012594733
+68,FOODS_3,2016-05-07,22149.920466723906
+69,FOODS_3,2016-05-08,22672.51910973226
+70,FOODS_3,2016-05-09,17388.755964833897
+71,FOODS_3,2016-05-10,16229.554742510712
+72,FOODS_3,2016-05-11,15913.853788834986
+73,FOODS_3,2016-05-12,16229.441847880662
+74,FOODS_3,2016-05-13,17695.119173018684
+75,FOODS_3,2016-05-14,22118.38914081269
+76,FOODS_3,2016-05-15,22622.383902927766
+77,FOODS_3,2016-05-16,17352.915739873653
+78,FOODS_3,2016-05-17,16196.863301084244
+79,FOODS_3,2016-05-18,15886.258449760904
+80,FOODS_3,2016-05-19,16208.436163712715
+81,FOODS_3,2016-05-20,17673.61997937043
+82,FOODS_3,2016-05-21,22097.648256558292
+83,FOODS_3,2016-05-22,22608.340998500338
+84,HOBBIES_1,2016-04-25,3301.1184614493914
+85,HOBBIES_1,2016-04-26,3190.0305707575
+86,HOBBIES_1,2016-04-27,3199.935172884026
+87,HOBBIES_1,2016-04-28,3225.695752897986
+88,HOBBIES_1,2016-04-29,3567.265955094044
+89,HOBBIES_1,2016-04-30,4356.224282294094
+90,HOBBIES_1,2016-05-01,4089.925888720474
+91,HOBBIES_1,2016-05-02,3256.234765934616
+92,HOBBIES_1,2016-05-03,3167.254279226249
+93,HOBBIES_1,2016-05-04,3182.164242104323
+94,HOBBIES_1,2016-05-05,3197.8208347975133
+95,HOBBIES_1,2016-05-06,3562.1759714192
+96,HOBBIES_1,2016-05-07,4348.942474784928
+97,HOBBIES_1,2016-05-08,4062.088166835995
+98,HOBBIES_1,2016-05-09,3270.411197190324
+99,HOBBIES_1,2016-05-10,3153.9826259751076
+100,HOBBIES_1,2016-05-11,3185.763508441231
+101,HOBBIES_1,2016-05-12,3215.5124943559786
+102,HOBBIES_1,2016-05-13,3557.0053751276196
+103,HOBBIES_1,2016-05-14,4347.883194155448
+104,HOBBIES_1,2016-05-15,4072.703812696276
+105,HOBBIES_1,2016-05-16,3257.5290353634405
+106,HOBBIES_1,2016-05-17,3160.8541642155105
+107,HOBBIES_1,2016-05-18,3181.513304571057
+108,HOBBIES_1,2016-05-19,3202.9504121022114
+109,HOBBIES_1,2016-05-20,3559.2179367013387
+110,HOBBIES_1,2016-05-21,4348.099858357742
+111,HOBBIES_1,2016-05-22,4064.243078853568
+112,HOBBIES_2,2016-04-25,372.73314373276685
+113,HOBBIES_2,2016-04-26,394.9539049862272
+114,HOBBIES_2,2016-04-27,383.16517087090995
+115,HOBBIES_2,2016-04-28,383.62499302365416
+116,HOBBIES_2,2016-04-29,398.311355639119
+117,HOBBIES_2,2016-04-30,394.347605737723
+118,HOBBIES_2,2016-05-01,410.1164983512131
+119,HOBBIES_2,2016-05-02,381.5187849900045
+120,HOBBIES_2,2016-05-03,390.5415783971641
+121,HOBBIES_2,2016-05-04,384.30591664608176
+122,HOBBIES_2,2016-05-05,382.0656727697983
+123,HOBBIES_2,2016-05-06,391.0787416473706
+124,HOBBIES_2,2016-05-07,388.7836691251789
+125,HOBBIES_2,2016-05-08,393.876028907937
+126,HOBBIES_2,2016-05-09,390.2092112439395
+127,HOBBIES_2,2016-05-10,389.2354081364607
+128,HOBBIES_2,2016-05-11,388.6840382471152
+129,HOBBIES_2,2016-05-12,388.2380749588003
+130,HOBBIES_2,2016-05-13,387.8486951350242
+131,HOBBIES_2,2016-05-14,387.50441758710645
+132,HOBBIES_2,2016-05-15,387.19942014913687
+133,HOBBIES_2,2016-05-16,386.9291391176742
+134,HOBBIES_2,2016-05-17,386.6896116476871
+135,HOBBIES_2,2016-05-18,386.4773369473272
+136,HOBBIES_2,2016-05-19,386.28921406142393
+137,HOBBIES_2,2016-05-20,386.12249505879066
+138,HOBBIES_2,2016-05-21,385.9747446856811
+139,HOBBIES_2,2016-05-22,385.84380476581924
+140,HOUSEHOLD_1,2016-04-25,7401.891643264893
+141,HOUSEHOLD_1,2016-04-26,6713.059783961793
+142,HOUSEHOLD_1,2016-04-27,6568.574826414228
+143,HOUSEHOLD_1,2016-04-28,6780.766120981868
+144,HOUSEHOLD_1,2016-04-29,7572.471090810987
+145,HOUSEHOLD_1,2016-04-30,9760.255572651784
+146,HOUSEHOLD_1,2016-05-01,9626.516172187357
+147,HOUSEHOLD_1,2016-05-02,7339.549091656914
+148,HOUSEHOLD_1,2016-05-03,6715.501042329869
+149,HOUSEHOLD_1,2016-05-04,6588.688826450386
+150,HOUSEHOLD_1,2016-05-05,6792.018975120889
+151,HOUSEHOLD_1,2016-05-06,7585.826196179538
+152,HOUSEHOLD_1,2016-05-07,9784.576440586516
+153,HOUSEHOLD_1,2016-05-08,9625.229656671552
+154,HOUSEHOLD_1,2016-05-09,7370.017398852801
+155,HOUSEHOLD_1,2016-05-10,6703.274498285182
+156,HOUSEHOLD_1,2016-05-11,6599.658566441017
+157,HOUSEHOLD_1,2016-05-12,6803.892952779315
+158,HOUSEHOLD_1,2016-05-13,7578.147413631544
+159,HOUSEHOLD_1,2016-05-14,9797.63840894531
+160,HOUSEHOLD_1,2016-05-15,9618.004359773748
+161,HOUSEHOLD_1,2016-05-16,7369.325267410535
+162,HOUSEHOLD_1,2016-05-17,6704.177617699504
+163,HOUSEHOLD_1,2016-05-18,6602.321156728928
+164,HOUSEHOLD_1,2016-05-19,6806.125635799577
+165,HOUSEHOLD_1,2016-05-20,7579.715540310798
+166,HOUSEHOLD_1,2016-05-21,9800.535564906138
+167,HOUSEHOLD_1,2016-05-22,9618.816928719863
+168,HOUSEHOLD_2,2016-04-25,1944.6365790975688
+169,HOUSEHOLD_2,2016-04-26,1782.1136284351692
+170,HOUSEHOLD_2,2016-04-27,1783.3160335243492
+171,HOUSEHOLD_2,2016-04-28,1843.7479525740052
+172,HOUSEHOLD_2,2016-04-29,2017.7306193648328
+173,HOUSEHOLD_2,2016-04-30,2573.4319970333827
+174,HOUSEHOLD_2,2016-05-01,2555.781560345023
+175,HOUSEHOLD_2,2016-05-02,1911.5887343314832
+176,HOUSEHOLD_2,2016-05-03,1773.6009268551322
+177,HOUSEHOLD_2,2016-05-04,1783.737933427243
+178,HOUSEHOLD_2,2016-05-05,1836.4433591054317
+179,HOUSEHOLD_2,2016-05-06,2026.2345730343163
+180,HOUSEHOLD_2,2016-05-07,2599.273470339867
+181,HOUSEHOLD_2,2016-05-08,2547.324959977864
+182,HOUSEHOLD_2,2016-05-09,1919.6860442557204
+183,HOUSEHOLD_2,2016-05-10,1772.1267493740079
+184,HOUSEHOLD_2,2016-05-11,1776.2903338158771
+185,HOUSEHOLD_2,2016-05-12,1836.0676051839982
+186,HOUSEHOLD_2,2016-05-13,2012.270429155826
+187,HOUSEHOLD_2,2016-05-14,2570.3606621455087
+188,HOUSEHOLD_2,2016-05-15,2548.3296441260773
+189,HOUSEHOLD_2,2016-05-16,1906.4143149755678
+190,HOUSEHOLD_2,2016-05-17,1767.280129446266
+191,HOUSEHOLD_2,2016-05-18,1776.7401745381599
+192,HOUSEHOLD_2,2016-05-19,1830.4754939798
+193,HOUSEHOLD_2,2016-05-20,2018.588737506113
+194,HOUSEHOLD_2,2016-05-21,2589.769743131061
+195,HOUSEHOLD_2,2016-05-22,2541.838195247957
diff --git a/nbs/assets/nhits_rst.csv b/nbs/assets/nhits_rst.csv
new file mode 100644
index 00000000..99e3f9d1
--- /dev/null
+++ b/nbs/assets/nhits_rst.csv
@@ -0,0 +1,197 @@
+unique_id,ds,NHITS
+FOODS_1,2016-04-25,2504.762
+FOODS_1,2016-04-26,2467.719
+FOODS_1,2016-04-27,2430.538
+FOODS_1,2016-04-28,2545.7861
+FOODS_1,2016-04-29,3158.0547
+FOODS_1,2016-04-30,3675.847
+FOODS_1,2016-05-01,3220.2334
+FOODS_1,2016-05-02,2603.3481
+FOODS_1,2016-05-03,2549.2483
+FOODS_1,2016-05-04,2526.7446
+FOODS_1,2016-05-05,2656.253
+FOODS_1,2016-05-06,3305.013
+FOODS_1,2016-05-07,3765.003
+FOODS_1,2016-05-08,3275.3057
+FOODS_1,2016-05-09,2697.433
+FOODS_1,2016-05-10,2621.8018
+FOODS_1,2016-05-11,2528.0818
+FOODS_1,2016-05-12,2711.9429
+FOODS_1,2016-05-13,3265.7722
+FOODS_1,2016-05-14,3737.7068
+FOODS_1,2016-05-15,3250.004
+FOODS_1,2016-05-16,2663.8232
+FOODS_1,2016-05-17,2565.505
+FOODS_1,2016-05-18,2516.273
+FOODS_1,2016-05-19,2611.7502
+FOODS_1,2016-05-20,3218.6646
+FOODS_1,2016-05-21,3715.1863
+FOODS_1,2016-05-22,3209.3425
+FOODS_2,2016-04-25,5217.8647
+FOODS_2,2016-04-26,4537.3613
+FOODS_2,2016-04-27,4325.717
+FOODS_2,2016-04-28,4522.6455
+FOODS_2,2016-04-29,5086.342
+FOODS_2,2016-04-30,6492.3867
+FOODS_2,2016-05-01,7200.9097
+FOODS_2,2016-05-02,6160.0244
+FOODS_2,2016-05-03,5388.8823
+FOODS_2,2016-05-04,5440.1694
+FOODS_2,2016-05-05,5520.1226
+FOODS_2,2016-05-06,6055.701
+FOODS_2,2016-05-07,7401.1245
+FOODS_2,2016-05-08,7905.652
+FOODS_2,2016-05-09,6759.285
+FOODS_2,2016-05-10,5789.94
+FOODS_2,2016-05-11,5636.6777
+FOODS_2,2016-05-12,5507.3813
+FOODS_2,2016-05-13,5849.2007
+FOODS_2,2016-05-14,7064.666
+FOODS_2,2016-05-15,7434.761
+FOODS_2,2016-05-16,6070.2705
+FOODS_2,2016-05-17,5095.434
+FOODS_2,2016-05-18,4870.112
+FOODS_2,2016-05-19,4596.719
+FOODS_2,2016-05-20,4982.272
+FOODS_2,2016-05-21,6231.084
+FOODS_2,2016-05-22,6697.241
+FOODS_3,2016-04-25,17230.807
+FOODS_3,2016-04-26,15789.233
+FOODS_3,2016-04-27,15369.597
+FOODS_3,2016-04-28,15617.65
+FOODS_3,2016-04-29,18008.902
+FOODS_3,2016-04-30,23040.523
+FOODS_3,2016-05-01,23571.592
+FOODS_3,2016-05-02,18340.871
+FOODS_3,2016-05-03,16562.752
+FOODS_3,2016-05-04,16747.717
+FOODS_3,2016-05-05,17052.62
+FOODS_3,2016-05-06,19778.832
+FOODS_3,2016-05-07,24705.719
+FOODS_3,2016-05-08,24711.145
+FOODS_3,2016-05-09,19328.555
+FOODS_3,2016-05-10,17409.87
+FOODS_3,2016-05-11,17146.104
+FOODS_3,2016-05-12,16995.588
+FOODS_3,2016-05-13,19478.918
+FOODS_3,2016-05-14,24267.672
+FOODS_3,2016-05-15,24103.676
+FOODS_3,2016-05-16,18767.125
+FOODS_3,2016-05-17,16687.102
+FOODS_3,2016-05-18,16438.53
+FOODS_3,2016-05-19,15937.973
+FOODS_3,2016-05-20,18391.8
+FOODS_3,2016-05-21,23098.781
+FOODS_3,2016-05-22,23017.9
+HOBBIES_1,2016-04-25,3293.069
+HOBBIES_1,2016-04-26,3175.8167
+HOBBIES_1,2016-04-27,3104.7383
+HOBBIES_1,2016-04-28,3130.194
+HOBBIES_1,2016-04-29,3652.3372
+HOBBIES_1,2016-04-30,4440.7046
+HOBBIES_1,2016-05-01,4260.2666
+HOBBIES_1,2016-05-02,3375.5198
+HOBBIES_1,2016-05-03,3186.3364
+HOBBIES_1,2016-05-04,3148.969
+HOBBIES_1,2016-05-05,3190.6125
+HOBBIES_1,2016-05-06,3787.1
+HOBBIES_1,2016-05-07,4503.3115
+HOBBIES_1,2016-05-08,4216.017
+HOBBIES_1,2016-05-09,3309.7373
+HOBBIES_1,2016-05-10,3130.4082
+HOBBIES_1,2016-05-11,3052.7866
+HOBBIES_1,2016-05-12,3083.465
+HOBBIES_1,2016-05-13,3624.693
+HOBBIES_1,2016-05-14,4420.6533
+HOBBIES_1,2016-05-15,4138.2466
+HOBBIES_1,2016-05-16,3327.1152
+HOBBIES_1,2016-05-17,3115.9226
+HOBBIES_1,2016-05-18,3068.1096
+HOBBIES_1,2016-05-19,3066.814
+HOBBIES_1,2016-05-20,3670.4724
+HOBBIES_1,2016-05-21,4458.9883
+HOBBIES_1,2016-05-22,4195.486
+HOBBIES_2,2016-04-25,359.69662
+HOBBIES_2,2016-04-26,337.56714
+HOBBIES_2,2016-04-27,336.36066
+HOBBIES_2,2016-04-28,346.82523
+HOBBIES_2,2016-04-29,385.13193
+HOBBIES_2,2016-04-30,448.0414
+HOBBIES_2,2016-05-01,428.58112
+HOBBIES_2,2016-05-02,347.9329
+HOBBIES_2,2016-05-03,325.00256
+HOBBIES_2,2016-05-04,332.32742
+HOBBIES_2,2016-05-05,348.48566
+HOBBIES_2,2016-05-06,397.46094
+HOBBIES_2,2016-05-07,463.35196
+HOBBIES_2,2016-05-08,445.56622
+HOBBIES_2,2016-05-09,360.51288
+HOBBIES_2,2016-05-10,336.52014
+HOBBIES_2,2016-05-11,344.28247
+HOBBIES_2,2016-05-12,358.7079
+HOBBIES_2,2016-05-13,409.6697
+HOBBIES_2,2016-05-14,475.46484
+HOBBIES_2,2016-05-15,455.52716
+HOBBIES_2,2016-05-16,381.3134
+HOBBIES_2,2016-05-17,355.26096
+HOBBIES_2,2016-05-18,351.80453
+HOBBIES_2,2016-05-19,363.197
+HOBBIES_2,2016-05-20,404.1736
+HOBBIES_2,2016-05-21,471.72308
+HOBBIES_2,2016-05-22,452.07477
+HOUSEHOLD_1,2016-04-25,7322.5625
+HOUSEHOLD_1,2016-04-26,6919.1865
+HOUSEHOLD_1,2016-04-27,6807.973
+HOUSEHOLD_1,2016-04-28,6930.8086
+HOUSEHOLD_1,2016-04-29,8116.5
+HOUSEHOLD_1,2016-04-30,10300.233
+HOUSEHOLD_1,2016-05-01,10267.285
+HOUSEHOLD_1,2016-05-02,7921.134
+HOUSEHOLD_1,2016-05-03,7284.6235
+HOUSEHOLD_1,2016-05-04,7280.303
+HOUSEHOLD_1,2016-05-05,7267.668
+HOUSEHOLD_1,2016-05-06,8540.003
+HOUSEHOLD_1,2016-05-07,10456.705
+HOUSEHOLD_1,2016-05-08,10088.888
+HOUSEHOLD_1,2016-05-09,7604.306
+HOUSEHOLD_1,2016-05-10,6985.8867
+HOUSEHOLD_1,2016-05-11,6745.779
+HOUSEHOLD_1,2016-05-12,6693.4326
+HOUSEHOLD_1,2016-05-13,7825.8516
+HOUSEHOLD_1,2016-05-14,9895.505
+HOUSEHOLD_1,2016-05-15,9434.72
+HOUSEHOLD_1,2016-05-16,7175.374
+HOUSEHOLD_1,2016-05-17,6486.9434
+HOUSEHOLD_1,2016-05-18,6495.8496
+HOUSEHOLD_1,2016-05-19,6345.693
+HOUSEHOLD_1,2016-05-20,7672.4624
+HOUSEHOLD_1,2016-05-21,9825.944
+HOUSEHOLD_1,2016-05-22,9556.082
+HOUSEHOLD_2,2016-04-25,1931.113
+HOUSEHOLD_2,2016-04-26,1782.4025
+HOUSEHOLD_2,2016-04-27,1758.2009
+HOUSEHOLD_2,2016-04-28,1763.3115
+HOUSEHOLD_2,2016-04-29,2031.7482
+HOUSEHOLD_2,2016-04-30,2627.6375
+HOUSEHOLD_2,2016-05-01,2618.0635
+HOUSEHOLD_2,2016-05-02,1939.3312
+HOUSEHOLD_2,2016-05-03,1775.9213
+HOUSEHOLD_2,2016-05-04,1784.6147
+HOUSEHOLD_2,2016-05-05,1768.6473
+HOUSEHOLD_2,2016-05-06,2086.8005
+HOUSEHOLD_2,2016-05-07,2645.3496
+HOUSEHOLD_2,2016-05-08,2584.8975
+HOUSEHOLD_2,2016-05-09,1910.047
+HOUSEHOLD_2,2016-05-10,1752.4678
+HOUSEHOLD_2,2016-05-11,1736.5
+HOUSEHOLD_2,2016-05-12,1733.4746
+HOUSEHOLD_2,2016-05-13,2037.8102
+HOUSEHOLD_2,2016-05-14,2586.608
+HOUSEHOLD_2,2016-05-15,2516.9414
+HOUSEHOLD_2,2016-05-16,1902.0074
+HOUSEHOLD_2,2016-05-17,1732.1702
+HOUSEHOLD_2,2016-05-18,1742.648
+HOUSEHOLD_2,2016-05-19,1724.6858
+HOUSEHOLD_2,2016-05-20,2035.2493
+HOUSEHOLD_2,2016-05-21,2608.6196
+HOUSEHOLD_2,2016-05-22,2549.3857
diff --git a/nbs/docs/getting-started/7_why_timegpt.ipynb b/nbs/docs/getting-started/7_why_timegpt.ipynb
index d4f23db0..d2f2bce3 100644
--- a/nbs/docs/getting-started/7_why_timegpt.ipynb
+++ b/nbs/docs/getting-started/7_why_timegpt.ipynb
@@ -393,8 +393,8 @@
      "data": {
       "text/plain": [
        "metric\n",
-       "rmse     592.599619\n",
-       "smape      0.049404\n",
+       "rmse     592.588597\n",
+       "smape      0.049403\n",
        "Name: TimeGPT, dtype: float64"
       ]
      },
@@ -438,6 +438,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "#| eval: false\n",
     "from statsforecast import StatsForecast\n",
     "from statsforecast.models import AutoARIMA"
    ]
@@ -446,18 +447,10 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/yibeihu/opt/anaconda3/envs/report/lib/python3.9/site-packages/statsforecast/core.py:494: FutureWarning: In a future version the predictions will have the id as a column. You can set the `NIXTLA_ID_AS_COL` environment variable to adopt the new behavior and to suppress this warning.\n",
-      "  warnings.warn(\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "#Initiate ARIMA model\n",
+    "#| eval: false\n",
+    "Initiate ARIMA model\n",
     "sf = StatsForecast(\n",
     "    models=[AutoARIMA(season_length=7)],\n",
     "    freq='D'\n",
@@ -466,6 +459,16 @@
     "fcst_arima = sf.forecast(h=28, df=df_train) "
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#| hide\n",
+    "fcst_arima = pd.read_csv('../../assets/arima_rst.csv', parse_dates=['ds'])"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -605,6 +608,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "#| eval: false\n",
     "from neuralforecast.core import NeuralForecast\n",
     "from neuralforecast.models import NHITS"
    ]
@@ -613,108 +617,10 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "INFO:lightning_fabric.utilities.seed:Seed set to 1\n",
-      "INFO:pytorch_lightning.utilities.rank_zero:GPU available: True (mps), used: True\n",
-      "INFO:pytorch_lightning.utilities.rank_zero:TPU available: False, using: 0 TPU cores\n",
-      "INFO:pytorch_lightning.utilities.rank_zero:HPU available: False, using: 0 HPUs\n",
-      "INFO:pytorch_lightning.callbacks.model_summary:\n",
-      "  | Name         | Type          | Params | Mode \n",
-      "-------------------------------------------------------\n",
-      "0 | loss         | MAE           | 0      | train\n",
-      "1 | padder_train | ConstantPad1d | 0      | train\n",
-      "2 | scaler       | TemporalNorm  | 0      | train\n",
-      "3 | blocks       | ModuleList    | 2.5 M  | train\n",
-      "-------------------------------------------------------\n",
-      "2.5 M     Trainable params\n",
-      "0         Non-trainable params\n",
-      "2.5 M     Total params\n",
-      "9.849     Total estimated model params size (MB)\n",
-      "34        Modules in train mode\n",
-      "0         Modules in eval mode\n"
-     ]
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a9f134529af4422bb8849fc690e5d486",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Sanity Checking: |          | 0/? [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "ff8a60812b2149f99ebe6e7b4bf12cbd",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Training: |          | 0/? [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "457cb90b17b04e4f832e6c8773bcf3af",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Validation: |          | 0/? [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "INFO:pytorch_lightning.utilities.rank_zero:`Trainer.fit` stopped: `max_steps=100` reached.\n",
-      "INFO:pytorch_lightning.utilities.rank_zero:GPU available: True (mps), used: True\n",
-      "INFO:pytorch_lightning.utilities.rank_zero:TPU available: False, using: 0 TPU cores\n",
-      "INFO:pytorch_lightning.utilities.rank_zero:HPU available: False, using: 0 HPUs\n"
-     ]
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b6d86b0930de465e89528cec7b3f3672",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Predicting: |          | 0/? [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/yibeihu/opt/anaconda3/envs/report/lib/python3.9/site-packages/neuralforecast/core.py:214: FutureWarning: In a future version the predictions will have the id as a column. You can set the `NIXTLA_ID_AS_COL` environment variable to adopt the new behavior and to suppress this warning.\n",
-      "  warnings.warn(\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "# Initialize the N-HiTS model.\n",
+    "#| eval: false\n",
+    "Initialize the N-HiTS model.\n",
     "models = [NHITS(h=28, \n",
     "                input_size=28, \n",
     "                max_steps=100)]\n",
@@ -725,6 +631,16 @@
     "fcst_nhits = nf.predict()"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#| hide\n",
+    "fcst_nhits = pd.read_csv('../../assets/nhits_rst.csv', parse_dates=['ds'])"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -734,7 +650,7 @@
      "data": {
       "text/plain": [
        "metric\n",
-       "rmse     605.011959\n",
+       "rmse     605.011948\n",
        "smape      0.053446\n",
        "Name: NHITS, dtype: float64"
       ]