1import { ApifyClient } from 'apify-client';
2
3
4
5const client = new ApifyClient({
6 token: '<YOUR_API_TOKEN>',
7});
8
9
10const input = {
11 "data": `Month,Passengers
121957-01,315
131957-02,301
141957-03,356
151957-04,348
161957-05,355
171957-06,422
181957-07,465
191957-08,467
201957-09,404
211957-10,347
221957-11,305
231957-12,336
241958-01,340
251958-02,318
261958-03,362
271958-04,348
281958-05,363
291958-06,435
301958-07,491
311958-08,505
321958-09,404
331958-10,359
341958-11,310
351958-12,337
361959-01,360
371959-02,342
381959-03,406
391959-04,396
401959-05,420
411959-06,472
421959-07,548
431959-08,559
441959-09,463
451959-10,407
461959-11,362
471959-12,405
481960-01,417
491960-02,391
501960-03,419
511960-04,461
521960-05,472
531960-06,535
541960-07,622
551960-08,606
561960-09,508
571960-10,461
581960-11,390
591960-12,432`,
60 "horizon": 12,
61 "quantiles": [
62 0.1,
63 0.9
64 ],
65 "evaluate": true
66};
67
68
69const run = await client.actor("tidytools/time-series-forecast").call(input);
70
71
72console.log('Results from dataset');
73console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
74const { items } = await client.dataset(run.defaultDatasetId).listItems();
75items.forEach((item) => {
76 console.dir(item);
77});
78
79