Fix bug in Adadelta

backend/src/optimization_logic.py

@@ -456,7 +456,6 @@ def rmsprop_bivariate(
 def adadelta_univariate(
     function: Expr,
     x0: float,
-    learning_rate: float,
     beta: float,
     epsilon: float,
     steps: int,
@@ -498,7 +497,6 @@ def adadelta_bivariate(
     function: Expr,
     x0: float,
     y0: float,
-    learning_rate: float,
     beta: float,
     epsilon: float,
     steps: int,

dist/assets/{index-BqVICm9j.js → index-BoSq-s5V.js}

@@ -3843,4 +3843,4 @@ The plot is interactive:
 - Click and drag to pan
 - Scroll to zoom
 - In bivariate mode, click **Update color scale** to rescale the heatmap so that the currently visible minimum and maximum values define the color range
-`,ij={"Gradient Descent":{learningRate:"0.1",momentum:"0.0"},Nesterov:{learningRate:"0.1",momentum:"0.0"},Adam:{learningRate:"0.1",beta1:"0.9",beta2:"0.999",epsilon:"1e-8"},Adagrad:{learningRate:"0.1",epsilon:"1e-8"},RMSProp:{learningRate:"0.1",beta:"0.9",epsilon:"1e-8"},Adadelta:{beta:"0.9",epsilon:"1e-8"},Newton:{}},$6={"--Custom--":"x^2",Quadratic:"x^2","Local Minima":"x^2 - 0.1cos(20x)",Plateau:"x^4"},J6={"--Custom--":"x^2 + 3y^2",Quadratic:"x^2 + 3y^2",Small:"(0.05x)^2 + 3(0.05y)^2",Ackley:"-20exp(-0.2 sqrt(0.5(x^2 + y^2))) - exp(0.5(cos(2 pi x) + cos(2 pi y))) + e + 20",Rasteringin:"20 + (x^2 - 10cos(2 pi x)) + (y^2 - 10cos(2 pi y))",Rosenbrock:"(1 - x)^2 + 100(y - x^2)^2"};function oj({settings:Ie,setSettings:ht,onRandomInitialPoint:St,trajectoryValues:wt,onReset:lr,onNextStep:vr,onPrevStep:Lr}){const rn=["Settings","Optimize","Usage"],[xn,$r]=up.useState("Settings");function Tn(Ri,Ts){if(Ri==="algorithm"){const Si=ij[Ts];ht({...Ie,algorithm:Ts,...Si})}else 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+`,ij={"Gradient Descent":{learningRate:"0.1",momentum:"0.0"},Nesterov:{learningRate:"0.1",momentum:"0.0"},Adam:{learningRate:"0.1",beta1:"0.9",beta2:"0.999",epsilon:"1e-8"},Adagrad:{learningRate:"0.1",epsilon:"1e-8"},RMSProp:{learningRate:"0.1",beta:"0.9",epsilon:"1e-8"},Adadelta:{beta:"0.9",epsilon:"1e-3"},Newton:{}},$6={"--Custom--":"x^2",Quadratic:"x^2","Local Minima":"x^2 - 0.1cos(20x)",Plateau:"x^4"},J6={"--Custom--":"x^2 + 3y^2",Quadratic:"x^2 + 3y^2",Small:"(0.05x)^2 + 3(0.05y)^2",Ackley:"-20exp(-0.2 sqrt(0.5(x^2 + y^2))) - exp(0.5(cos(2 pi x) + cos(2 pi y))) + e + 20",Rasteringin:"20 + (x^2 - 10cos(2 pi x)) + (y^2 - 10cos(2 pi y))",Rosenbrock:"(1 - x)^2 + 100(y - x^2)^2"};function oj({settings:Ie,setSettings:ht,onRandomInitialPoint:St,trajectoryValues:wt,onReset:lr,onNextStep:vr,onPrevStep:Lr}){const rn=["Settings","Optimize","Usage"],[xn,$r]=up.useState("Settings");function Tn(Ri,Ts){if(Ri==="algorithm"){const Si=ij[Ts];ht({...Ie,algorithm:Ts,...Si})}else 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dist/assets/{pyodide.worker-BFXTvOBt.js → pyodide.worker-jb0eIAfr.js}

@@ -1,4 +1,4 @@
-(function(){"use strict";var s=`import numpy as np
+(function(){"use strict";var i=`import numpy as np
 from sympy import (
     lambdify, 
     symbols, 
@@ -802,7 +802,6 @@ def rmsprop_bivariate(
 def adadelta_univariate(
     function: Expr,
     x0: float,
-    learning_rate: float,
     beta: float,
     epsilon: float,
     steps: int,
@@ -844,7 +843,6 @@ def adadelta_bivariate(
     function: Expr,
     x0: float,
     y0: float,
-    learning_rate: float,
     beta: float,
     epsilon: float,
     steps: int,
@@ -1007,4 +1005,4 @@ def adam_bivariate(
         "gradient": gradient_values,
         "hessian": hessian_values,
     }
-`;const f="https://cdn.jsdelivr.net/pyodide/v0.26.1/full/pyodide.mjs";let e=null,a=null;async function r(){const{loadPyodide:n}=await import(f);e=await n({indexURL:"https://cdn.jsdelivr.net/pyodide/v0.26.1/full/"}),await e.loadPackage(["numpy","sympy"]),e.FS.writeFile("optimization_logic.py",l),e.FS.writeFile("optimization_manager.py",s),e.runPython("from optimization_manager import OptimizationManager; manager = OptimizationManager();"),a=e.globals.get("manager"),a||console.error("Failed to initialize optimization manager"),self.postMessage({type:"READY"})}function i(n){if(!n)return null;try{const t=n.toJs({dict_converter:Object.fromEntries});n.destroy&&n.destroy(),self.postMessage({type:"RESULT",data:t})}catch(t){console.error("Error handling Python result:",t)}}self.onmessage=async n=>{const t=n.data;if(!a){console.warn("Pyodide is not ready yet");return}switch(t.type){case"INIT":const o=e.toPy(t.settings);i(a.handle_update_settings(o));break;case"NEXT_STEP":i(a.handle_next_step());break;case"PREV_STEP":i(a.handle_prev_step());break;case"RESET":i(a.handle_reset());break;default:console.error("Unknown message type:",t);break}},r()})();
+`;const f="https://cdn.jsdelivr.net/pyodide/v0.26.1/full/pyodide.mjs";let e=null,a=null;async function r(){const{loadPyodide:n}=await import(f);e=await n({indexURL:"https://cdn.jsdelivr.net/pyodide/v0.26.1/full/"}),await e.loadPackage(["numpy","sympy"]),e.FS.writeFile("optimization_logic.py",l),e.FS.writeFile("optimization_manager.py",i),e.runPython("from optimization_manager import OptimizationManager; manager = OptimizationManager();"),a=e.globals.get("manager"),a||console.error("Failed to initialize optimization manager"),self.postMessage({type:"READY"})}function s(n){if(!n)return null;try{const t=n.toJs({dict_converter:Object.fromEntries});n.destroy&&n.destroy(),self.postMessage({type:"RESULT",data:t})}catch(t){console.error("Error handling Python result:",t)}}self.onmessage=async n=>{const t=n.data;if(!a){console.warn("Pyodide is not ready yet");return}switch(t.type){case"INIT":const o=e.toPy(t.settings);s(a.handle_update_settings(o));break;case"NEXT_STEP":s(a.handle_next_step());break;case"PREV_STEP":s(a.handle_prev_step());break;case"RESET":s(a.handle_reset());break;default:console.error("Unknown message type:",t);break}},r()})();

dist/index.html

@@ -5,7 +5,7 @@
     <link rel="icon" type="image/svg+xml" href="/vite.svg" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>Optimization</title>
-    <script type="module" crossorigin src="/assets/index-BqVICm9j.js"></script>
+    <script type="module" crossorigin src="/assets/index-BoSq-s5V.js"></script>
     <link rel="stylesheet" crossorigin href="/assets/index-5gsYPC1K.css">
   </head>
   <body>

frontends/react/src/Sidebar.tsx

@@ -11,7 +11,7 @@ const DEFAULT_HYPERPARAMETERS = {
   "Adam": { learningRate: "0.1", beta1: "0.9", beta2: "0.999", epsilon: "1e-8" },
   "Adagrad": { learningRate: "0.1", epsilon: "1e-8" },
   "RMSProp": { learningRate: "0.1", beta: "0.9", epsilon: "1e-8" },
-  "Adadelta": { beta: "0.9", epsilon: "1e-8" },
+  "Adadelta": { beta: "0.9", epsilon: "1e-3" },
   "Newton": {}
 }