deploy: 22bff58

Author: ishii-norimi

js/controller.js

@@ -1,4 +1,4 @@
-var r=Object.defineProperty;var p=(l,t)=>r(l,"name",{value:t,configurable:!0});import*as o from"../../lib/model/nns/optimizer.js";const i={abs:{},clip:{min:0,max:1},conv:{kernel:5,channel:16},dropout:{drop_rate:.5},exp:{},flatten:{},full:{size:10,a:"sigmoid"},gaussian:{},leaky_relu:{a:.1},identity:{},log:{},mean:{axis:0},negative:{},relu:{},reshape:{size:[1,1]},sigmoid:{},softmax:{},softplus:{},softsign:{},sparsity:{rho:.02},square:{},sqrt:{},sum:{axis:0},tanh:{},transpose:{axis:[1,0]},variance:{axis:0}},m={props:["modelValue"],template:`
+var r=Object.defineProperty;var n=(l,t)=>r(l,"name",{value:t,configurable:!0});import*as m from"../../lib/model/nns/optimizer.js";const p={abs:{},clip:{min:0,max:1},conv:{kernel:5,channel:16},dropout:{drop_rate:.5},exp:{},flatten:{},full:{size:10,a:"sigmoid"},gaussian:{},leaky_relu:{a:.1},identity:{},log:{},mean:{axis:0},negative:{},relu:{},reshape:{size:[1,1]},sigmoid:{},softmax:{},softplus:{},softsign:{},sparsity:{rho:.02},square:{},sqrt:{},sum:{axis:0},tanh:{},transpose:{axis:[1,0]},variance:{axis:0}},s={props:["modelValue"],template:`
 	<div style="display: inline-flex; align-items: flex-end;">
 		<input v-if="modelValue?.length < 10" type="button" value="+" v-on:click="modelValue.push(0)">
 		<div>
@@ -8,7 +8,7 @@ var r=Object.defineProperty;var p=(l,t)=>r(l,"name",{value:t,configurable:!0});i
 			</div>
 		</div>
 	</div>
-	`},s={setup(){const l=Vue.ref([{type:"full",size:10,a:"sigmoid",poly_pow:2}]);return{layers:l,changeType:p(function(e){const n={type:l.value[e].type,...i[l.value[e].type]};l.value.splice(e,1,n)},"changeType"),addLayer:p(function(){l.value.push({type:"full",size:10,a:"sigmoid",poly_pow:2})},"addLayer")}},data:p(function(){return{layerTypeNames:Object.keys(i),activations:["sigmoid","tanh","relu","leaky_relu","softsign","softplus","identity","polynomial","abs","gaussian","softmax"]}},"data"),template:`
+	`},o={setup(){const l=Vue.ref([{type:"full",size:10,a:"sigmoid",poly_pow:2}]);return{layers:l,changeType:n(function(e){const i={type:l.value[e].type,...p[l.value[e].type]};l.value.splice(e,1,i)},"changeType"),addLayer:n(function(){l.value.push({type:"full",size:10,a:"sigmoid",poly_pow:2})},"addLayer")}},data:n(function(){return{layerTypeNames:Object.keys(p),activations:["sigmoid","tanh","relu","leaky_relu","softsign","softplus","identity","polynomial","abs","gaussian","softmax"]}},"data"),template:`
 	<div style="display: inline-flex; align-items: flex-end;">
 		<input type="button" value="+" v-on:click="addLayer">
 		<div>
@@ -63,4 +63,4 @@ var r=Object.defineProperty;var p=(l,t)=>r(l,"name",{value:t,configurable:!0});i
 			</div>
 		</div>
 	</div>
-	`};export default class y{static{p(this,"NeuralNetworkBuilder")}constructor(){this._app=Vue.createApp({}),this._app.component("array_attr",m),this._app.component("mlp_model",s),this._vue=null,this._name=Math.random().toString(32).substring(2)}get layers(){const t=this._vue?this._vue.$refs.layerselm.layers:[{type:"full",size:10,a:"sigmoid"}],a=[];for(let e=0;e<t.length;e++)t[e].type==="full"?(a.push({type:"full",out_size:t[e].size}),a.push({type:t[e].a,n:t[e].poly_pow})):a.push(t[e]);return a}get invlayers(){const t=this.layers,a=[];for(let e=t.length-1;e>=0;e-=2)a.push(t[e-1],t[e]);return a}get optimizer(){return this._opt&&this._opt.property("value")}makeHtml(t,{optimizer:a=!1}={}){t.append("span").attr("id",`mlp_model_${this._name}`).append("mlp_model").attr("ref","layerselm"),this._vue=this._app.mount(`#mlp_model_${this._name}`),a&&(t.append("span").text(" Optimizer "),this._opt=t.append("select").attr("name","optimizer"),this._opt.selectAll("option").data(Object.keys(o)).enter().append("option").property("value",e=>e).text(e=>e),this._opt.property("value","adam"))}}
+	`};export default class y{static{n(this,"NeuralNetworkBuilder")}constructor(){this._app=Vue.createApp({}),this._app.component("array_attr",s),this._app.component("nn_model",o),this._vue=null,this._name=Math.random().toString(32).substring(2)}get layers(){const t=this._vue?this._vue.$refs.layerselm.layers:[{type:"full",size:10,a:"sigmoid"}],a=[];for(let e=0;e<t.length;e++)t[e].type==="full"?(a.push({type:"full",out_size:t[e].size}),a.push({type:t[e].a,n:t[e].poly_pow})):a.push(t[e]);return a}get invlayers(){const t=this.layers,a=[];for(let e=t.length-1;e>=0;e-=2)a.push(t[e-1],t[e]);return a}get optimizer(){return this._opt&&this._opt.property("value")}makeHtml(t,{optimizer:a=!1}={}){const e=t.span();e.element.id=`nn_model_${this._name}`;const i=document.createElement("nn_model");i.setAttribute("ref","layerselm"),e.element.append(i),this._vue=this._app.mount(`#nn_model_${this._name}`),a&&t.span().select({label:" Optimizer ",values:Object.keys(m),value:"adam"})}}