jerry/OpenBB
1
0
Fork 0
mirror of https://github.com/OpenBB-finance/OpenBB.git synced 2026-10-30 05:52:23 +00:00
Code Issues Packages Projects Releases Wiki Activity
Files
ba7678680fc5ec5d9b36afbbe62bab30472fc2a7
OpenBB/assets/js/0dbc7432.072da5cc.js
github-actions[bot] c8e14f3cc6 deploy: 917b2bb44c
2022-12-15 21:02:29 +00:00

1 line
12 KiB
JavaScript
Raw Blame History

"use strict";(self.webpackChunkdocs=self.webpackChunkdocs||[]).push([[2051],{3905:(t,e,n)=>{n.d(e,{Zo:()=>u,kt:()=>c});var a=n(67294);function r(t,e,n){return e in t?Object.defineProperty(t,e,{value:n,enumerable:!0,configurable:!0,writable:!0}):t[e]=n,t}function l(t,e){var n=Object.keys(t);if(Object.getOwnPropertySymbols){var a=Object.getOwnPropertySymbols(t);e&&(a=a.filter((function(e){return Object.getOwnPropertyDescriptor(t,e).enumerable}))),n.push.apply(n,a)}return n}function i(t){for(var e=1;e<arguments.length;e++){var n=null!=arguments[e]?arguments[e]:{};e%2?l(Object(n),!0).forEach((function(e){r(t,e,n[e])})):Object.getOwnPropertyDescriptors?Object.defineProperties(t,Object.getOwnPropertyDescriptors(n)):l(Object(n)).forEach((function(e){Object.defineProperty(t,e,Object.getOwnPropertyDescriptor(n,e))}))}return t}function o(t,e){if(null==t)return{};var n,a,r=function(t,e){if(null==t)return{};var n,a,r={},l=Object.keys(t);for(a=0;a<l.length;a++)n=l[a],e.indexOf(n)>=0||(r[n]=t[n]);return r}(t,e);if(Object.getOwnPropertySymbols){var l=Object.getOwnPropertySymbols(t);for(a=0;a<l.length;a++)n=l[a],e.indexOf(n)>=0||Object.prototype.propertyIsEnumerable.call(t,n)&&(r[n]=t[n])}return r}var s=a.createContext({}),p=function(t){var e=a.useContext(s),n=e;return t&&(n="function"==typeof t?t(e):i(i({},e),t)),n},u=function(t){var e=p(t.components);return a.createElement(s.Provider,{value:e},t.children)},m={inlineCode:"code",wrapper:function(t){var e=t.children;return a.createElement(a.Fragment,{},e)}},d=a.forwardRef((function(t,e){var n=t.components,r=t.mdxType,l=t.originalType,s=t.parentName,u=o(t,["components","mdxType","originalType","parentName"]),d=p(n),c=r,N=d["".concat(s,".").concat(c)]||d[c]||m[c]||l;return n?a.createElement(N,i(i({ref:e},u),{},{components:n})):a.createElement(N,i({ref:e},u))}));function c(t,e){var n=arguments,r=e&&e.mdxType;if("string"==typeof t||r){var l=n.length,i=new Array(l);i[0]=d;var o={};for(var s in e)hasOwnProperty.call(e,s)&&(o[s]=e[s]);o.originalType=t,o.mdxType="string"==typeof t?t:r,i[1]=o;for(var p=2;p<l;p++)i[p]=n[p];return a.createElement.apply(null,i)}return a.createElement.apply(null,n)}d.displayName="MDXCreateElement"},49505:(t,e,n)=>{n.r(e),n.d(e,{assets:()=>s,contentTitle:()=>i,default:()=>m,frontMatter:()=>l,metadata:()=>o,toc:()=>p});var a=n(87462),r=(n(67294),n(3905));const l={title:"seasonalnaive",description:"OpenBB Terminal Function"},i="seasonalnaive",o={unversionedId:"reference/forecast/seasonalnaive",id:"reference/forecast/seasonalnaive",title:"seasonalnaive",description:"OpenBB Terminal Function",source:"@site/content/terminal/reference/forecast/seasonalnaive.md",sourceDirName:"reference/forecast",slug:"/reference/forecast/seasonalnaive",permalink:"/terminal/reference/forecast/seasonalnaive",draft:!1,editUrl:"https://github.com/OpenBB-finance/OpenBBTerminal/edit/main/website/content/terminal/reference/forecast/seasonalnaive.md",tags:[],version:"current",frontMatter:{title:"seasonalnaive",description:"OpenBB Terminal Function"},sidebar:"tutorialSidebar",previous:{title:"season",permalink:"/terminal/reference/forecast/season"},next:{title:"show",permalink:"/terminal/reference/forecast/show"}},s={},p=[{value:"Usage",id:"usage",level:3},{value:"Parameters",id:"parameters",level:2},{value:"Examples",id:"examples",level:2}],u={toc:p};function m(t){let{components:e,...n}=t;return(0,r.kt)("wrapper",(0,a.Z)({},u,n,{components:e,mdxType:"MDXLayout"}),(0,r.kt)("h1",{id:"seasonalnaive"},"seasonalnaive"),(0,r.kt)("p",null,"Perform SeasonalNaive forecasting: ",(0,r.kt)("a",{parentName:"p",href:"https://nixtla.github.io/statsforecast/models.html#seasonalnaive"},"https://nixtla.github.io/statsforecast/models.html#seasonalnaive")),(0,r.kt)("h3",{id:"usage"},"Usage"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-python",metastring:"wordwrap",wordwrap:!0},"seasonalnaive [--naive] [-d {}] [-c TARGET_COLUMN] [-n N_DAYS] [-s {N,A,M}] [-p SEASONAL_PERIODS] [-w START_WINDOW] [--end S_END_DATE] [--start S_START_DATE] [--residuals] [--forecast-only] [--export-pred-raw]\n")),(0,r.kt)("hr",null),(0,r.kt)("h2",{id:"parameters"},"Parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:null},"Name"),(0,r.kt)("th",{parentName:"tr",align:null},"Description"),(0,r.kt)("th",{parentName:"tr",align:null},"Default"),(0,r.kt)("th",{parentName:"tr",align:null},"Optional"),(0,r.kt)("th",{parentName:"tr",align:null},"Choices"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:null},"naive"),(0,r.kt)("td",{parentName:"tr",align:null},"Show the naive baseline for a model."),(0,r.kt)("td",{parentName:"tr",align:null},"False"),(0,r.kt)("td",{parentName:"tr",align:null},"True"),(0,r.kt)("td",{parentName:"tr",align:null},"None")),(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:null},"target_dataset"),(0,r.kt)("td",{parentName:"tr",align:null},"The name of the dataset you want to select"),(0,r.kt)("td",{parentName:"tr",align:null},"None"),(0,r.kt)("td",{parentName:"tr",align:null},"True"),(0,r.kt)("td",{parentName:"tr",align:null},"None")),(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:null},"target_column"),(0,r.kt)("td",{parentName:"tr",align:null},"The name of the specific column you want to use"),(0,r.kt)("td",{parentName:"tr",align:null},"close"),(0,r.kt)("td",{parentName:"tr",align:null},"True"),(0,r.kt)("td",{parentName:"tr",align:null},"None")),(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:null},"n_days"),(0,r.kt)("td",{parentName:"tr",align:null},"prediction days."),(0,r.kt)("td",{parentName:"tr",align:null},"5"),(0,r.kt)("td",{parentName:"tr",align:null},"True"),(0,r.kt)("td",{parentName:"tr",align:null},"None")),(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:null},"seasonal"),(0,r.kt)("td",{parentName:"tr",align:null},"Seasonality: N: None, A: Additive, M: Multiplicative."),(0,r.kt)("td",{parentName:"tr",align:null},"A"),(0,r.kt)("td",{parentName:"tr",align:null},"True"),(0,r.kt)("td",{parentName:"tr",align:null},"N, A, M")),(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:null},"seasonal_periods"),(0,r.kt)("td",{parentName:"tr",align:null},"Seasonal periods: 4: Quarterly, 7: Daily"),(0,r.kt)("td",{parentName:"tr",align:null},"7"),(0,r.kt)("td",{parentName:"tr",align:null},"True"),(0,r.kt)("td",{parentName:"tr",align:null},"None")),(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:null},"start_window"),(0,r.kt)("td",{parentName:"tr",align:null},"Start point for rolling training and forecast window. 0.0-1.0"),(0,r.kt)("td",{parentName:"tr",align:null},"0.85"),(0,r.kt)("td",{parentName:"tr",align:null},"True"),(0,r.kt)("td",{parentName:"tr",align:null},"None")),(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:null},"s_end_date"),(0,r.kt)("td",{parentName:"tr",align:null},"The end date (format YYYY-MM-DD) to select for testing"),(0,r.kt)("td",{parentName:"tr",align:null},"None"),(0,r.kt)("td",{parentName:"tr",align:null},"True"),(0,r.kt)("td",{parentName:"tr",align:null},"None")),(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:null},"s_start_date"),(0,r.kt)("td",{parentName:"tr",align:null},"The start date (format YYYY-MM-DD) to select for testing"),(0,r.kt)("td",{parentName:"tr",align:null},"None"),(0,r.kt)("td",{parentName:"tr",align:null},"True"),(0,r.kt)("td",{parentName:"tr",align:null},"None")),(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:null},"residuals"),(0,r.kt)("td",{parentName:"tr",align:null},"Show the residuals for the model."),(0,r.kt)("td",{parentName:"tr",align:null},"False"),(0,r.kt)("td",{parentName:"tr",align:null},"True"),(0,r.kt)("td",{parentName:"tr",align:null},"None")),(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:null},"forecast_only"),(0,r.kt)("td",{parentName:"tr",align:null},"Do not plot the historical data without forecasts."),(0,r.kt)("td",{parentName:"tr",align:null},"False"),(0,r.kt)("td",{parentName:"tr",align:null},"True"),(0,r.kt)("td",{parentName:"tr",align:null},"None")),(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:null},"export_pred_raw"),(0,r.kt)("td",{parentName:"tr",align:null},"Export predictions to a csv file."),(0,r.kt)("td",{parentName:"tr",align:null},"False"),(0,r.kt)("td",{parentName:"tr",align:null},"True"),(0,r.kt)("td",{parentName:"tr",align:null},"None")))),(0,r.kt)("hr",null),(0,r.kt)("h2",{id:"examples"},"Examples"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-python"},"2022 Nov 07, 19:24 (\ud83e\udd8b) /stocks/ $ forecast\n\n2022 Nov 07, 19:24 (\ud83e\udd8b) /forecast/ $ seasonalnaive AAPL\n\nCross Validation Time Series 1: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 115/115 [00:0200:00, 47.75it/s]\nForecast: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1/1 [00:0000:00, 14873.42it/s]\nSeasonalNaive obtains MAPE: 4.26% \n\n\n Actual price: 138.38 \n\u250f\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2513\n\u2503 Datetime \u2503 Prediction \u2503\n\u2521\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2547\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2529\n\u2502 2022-11-07 \u2502 138.38 \u2502\n\u251c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524\n\u2502 2022-11-08 \u2502 144.80 \u2502\n\u251c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524\n\u2502 2022-11-09 \u2502 155.74 \u2502\n\u251c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524\n\u2502 2022-11-10 \u2502 153.34 \u2502\n\u251c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524\n\u2502 2022-11-11 \u2502 150.65 \u2502\n\u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518\n")),(0,r.kt)("hr",null))}m.isMDXComponent=!0}}]);
Reference in New Issue View Git Blame Copy Permalink