import{s as it,n as mt,o as lt}from"../chunks/scheduler.9bc65507.js";import{S as ot,i as ut,g as i,s as n,r as y,A as pt,h as m,f as e,c as a,j as L,u as O,x as B,k as I,y as h,a as r,v as P,d as E,t as N,w as D}from"../chunks/index.707bf1b6.js";import{D as Y}from"../chunks/Docstring.86474e80.js";import{H as at,E as ft}from"../chunks/EditOnGithub.922df6ba.js";function dt(Z){let l,V,S,j,f,z,d,tt="このページには、時系列ベースのモデルに使用できるすべてのユーティリティ関数とクラスがリストされます。",A,c,et="これらのほとんどは、時系列モデルのコードを研究している場合、または分散出力クラスのコレクションに追加したい場合にのみ役立ちます。",H,_,M,o,$,Q,x,st="Normal distribution output class.",k,u,g,W,C,rt="Student-T distribution output class.",q,p,v,X,w,nt="Negative Binomial distribution output class.",G,b,R,T,U;return f=new at({props:{title:"時系列ユーティリティ",local:"時系列ユーティリティ",headingTag:"h1"}}),_=new at({props:{title:"Distributional Output",local:"transformers.time_series_utils.NormalOutput",headingTag:"h2"}}),$=new Y({props:{name:"class transformers.time_series_utils.NormalOutput",anchor:"transformers.time_series_utils.NormalOutput",parameters:[{name:"dim",val:": int = 1"}],source:"https://github.com/huggingface/transformers/blob/vr_29261/src/transformers/time_series_utils.py#L180"}}),g=new Y({props:{name:"class transformers.time_series_utils.StudentTOutput",anchor:"transformers.time_series_utils.StudentTOutput",parameters:[{name:"dim",val:": int = 1"}],source:"https://github.com/huggingface/transformers/blob/vr_29261/src/transformers/time_series_utils.py#L165"}}),v=new Y({props:{name:"class transformers.time_series_utils.NegativeBinomialOutput",anchor:"transformers.time_series_utils.NegativeBinomialOutput",parameters:[{name:"dim",val:": int = 1"}],source:"https://github.com/huggingface/transformers/blob/vr_29261/src/transformers/time_series_utils.py#L194"}}),b=new ft({props:{source:"https://github.com/huggingface/transformers/blob/main/docs/source/ja/internal/time_series_utils.md"}}),{c(){l=i("meta"),V=n(),S=i("p"),j=n(),y(f.$$.fragment),z=n(),d=i("p"),d.textContent=tt,A=n(),c=i("p"),c.textContent=et,H=n(),y(_.$$.fragment),M=n(),o=i("div"),y($.$$.fragment),Q=n(),x=i("p"),x.textContent=st,k=n(),u=i("div"),y(g.$$.fragment),W=n(),C=i("p"),C.textContent=rt,q=n(),p=i("div"),y(v.$$.fragment),X=n(),w=i("p"),w.textContent=nt,G=n(),y(b.$$.fragment),R=n(),T=i("p"),this.h()},l(t){const s=pt("svelte-u9bgzb",document.head);l=m(s,"META",{name:!0,content:!0}),s.forEach(e),V=a(t),S=m(t,"P",{}),L(S).forEach(e),j=a(t),O(f.$$.fragment,t),z=a(t),d=m(t,"P",{"data-svelte-h":!0}),B(d)!=="svelte-1617x0x"&&(d.textContent=tt),A=a(t),c=m(t,"P",{"data-svelte-h":!0}),B(c)!=="svelte-1a3odcs"&&(c.textContent=et),H=a(t),O(_.$$.fragment,t),M=a(t),o=m(t,"DIV",{class:!0});var F=L(o);O($.$$.fragment,F),Q=a(F),x=m(F,"P",{"data-svelte-h":!0}),B(x)!=="svelte-ri85ny"&&(x.textContent=st),F.forEach(e),k=a(t),u=m(t,"DIV",{class:!0});var J=L(u);O(g.$$.fragment,J),W=a(J),C=m(J,"P",{"data-svelte-h":!0}),B(C)!=="svelte-1bpemm3"&&(C.textContent=rt),J.forEach(e),q=a(t),p=m(t,"DIV",{class:!0});var K=L(p);O(v.$$.fragment,K),X=a(K),w=m(K,"P",{"data-svelte-h":!0}),B(w)!=="svelte-1fzvcxd"&&(w.textContent=nt),K.forEach(e),G=a(t),O(b.$$.fragment,t),R=a(t),T=m(t,"P",{}),L(T).forEach(e),this.h()},h(){I(l,"name","hf:doc:metadata"),I(l,"content",ct),I(o,"class","docstring border-l-2 border-t-2 pl-4 pt-3.5 border-gray-100 rounded-tl-xl mb-6 mt-8"),I(u,"class","docstring border-l-2 border-t-2 pl-4 pt-3.5 border-gray-100 rounded-tl-xl mb-6 mt-8"),I(p,"class","docstring border-l-2 border-t-2 pl-4 pt-3.5 border-gray-100 rounded-tl-xl mb-6 mt-8")},m(t,s){h(document.head,l),r(t,V,s),r(t,S,s),r(t,j,s),P(f,t,s),r(t,z,s),r(t,d,s),r(t,A,s),r(t,c,s),r(t,H,s),P(_,t,s),r(t,M,s),r(t,o,s),P($,o,null),h(o,Q),h(o,x),r(t,k,s),r(t,u,s),P(g,u,null),h(u,W),h(u,C),r(t,q,s),r(t,p,s),P(v,p,null),h(p,X),h(p,w),r(t,G,s),P(b,t,s),r(t,R,s),r(t,T,s),U=!0},p:mt,i(t){U||(E(f.$$.fragment,t),E(_.$$.fragment,t),E($.$$.fragment,t),E(g.$$.fragment,t),E(v.$$.fragment,t),E(b.$$.fragment,t),U=!0)},o(t){N(f.$$.fragment,t),N(_.$$.fragment,t),N($.$$.fragment,t),N(g.$$.fragment,t),N(v.$$.fragment,t),N(b.$$.fragment,t),U=!1},d(t){t&&(e(V),e(S),e(j),e(z),e(d),e(A),e(c),e(H),e(M),e(o),e(k),e(u),e(q),e(p),e(G),e(R),e(T)),e(l),D(f,t),D(_,t),D($),D(g),D(v),D(b,t)}}}const ct='{"title":"時系列ユーティリティ","local":"時系列ユーティリティ","sections":[{"title":"Distributional Output","local":"transformers.time_series_utils.NormalOutput","sections":[],"depth":2}],"depth":1}';function _t(Z){return lt(()=>{new URLSearchParams(window.location.search).get("fw")}),[]}class ht extends ot{constructor(l){super(),ut(this,l,_t,dt,it,{})}}export{ht as component};
