From c2a5dbcfce6b06f17bb8b60811b78572ee2113ff Mon Sep 17 00:00:00 2001
From: Ola <seunvigo@gmail.com>
Date: Tue, 7 Jan 2025 18:31:14 -0600
Subject: [PATCH 1/6] chore: Add toJSON and fromJSON to AE

---
 src/autoencoder.test.ts | 20 ++++++++++++++++++++
 src/autoencoder.ts      | 21 +++++++++++++++------
 2 files changed, 35 insertions(+), 6 deletions(-)

diff --git a/src/autoencoder.test.ts b/src/autoencoder.test.ts
index 166903b6..ba8bd589 100644
--- a/src/autoencoder.test.ts
+++ b/src/autoencoder.test.ts
@@ -66,3 +66,23 @@ test('test a data sample for anomalies', async () => {
   includesAnomalies(1, 0, 1);
   includesAnomalies(1, 1, 0);
 });
+
+test('restores a net fromJSON', () => {
+  expect(result.error).toBeLessThanOrEqual(errorThresh);
+  function xor(net: AE<number[], number[]>, ...args: number[]) {
+    return Math.round(net.denoise(args)[2]);
+  }
+
+  const decoder = xornet.toJSON();
+  const restoredDecoder = xornet.fromJSON(decoder);
+
+  const run1 = xor(restoredDecoder, 0, 0, 0);
+  const run2 = xor(restoredDecoder, 0, 1, 1);
+  const run3 = xor(restoredDecoder, 1, 0, 1);
+  const run4 = xor(restoredDecoder, 1, 1, 0);
+
+  expect(run1).toBe(0);
+  expect(run2).toBe(1);
+  expect(run3).toBe(1);
+  expect(run4).toBe(0);
+});
diff --git a/src/autoencoder.ts b/src/autoencoder.ts
index 357d7fcd..74ffaafd 100644
--- a/src/autoencoder.ts
+++ b/src/autoencoder.ts
@@ -3,6 +3,7 @@ import {
   IJSONLayer,
   INeuralNetworkData,
   INeuralNetworkDatum,
+  INeuralNetworkJSON,
   INeuralNetworkTrainOptions,
 } from './neural-network';
 import {
@@ -26,7 +27,7 @@ export class AE<
   EncodedData extends INeuralNetworkData
 > {
   private decoder?: NeuralNetworkGPU<EncodedData, DecodedData>;
-  private readonly denoiser: NeuralNetworkGPU<DecodedData, DecodedData>;
+  private denoiser: NeuralNetworkGPU<DecodedData, DecodedData>;
 
   constructor(options?: Partial<IAEOptions>) {
     // Create default options for the autoencoder.
@@ -149,10 +150,9 @@ export class AE<
     data: DecodedData[],
     options?: Partial<INeuralNetworkTrainOptions>
   ): INeuralNetworkState {
-    const preprocessedData: Array<INeuralNetworkDatum<
-      Partial<DecodedData>,
-      Partial<DecodedData>
-    >> = [];
+    const preprocessedData: Array<
+      INeuralNetworkDatum<Partial<DecodedData>, Partial<DecodedData>>
+    > = [];
 
     for (const datum of data) {
       preprocessedData.push({ input: datum, output: datum });
@@ -188,7 +188,16 @@ export class AE<
 
     const decoder = new NeuralNetworkGPU().fromJSON(json);
 
-    return (decoder as unknown) as NeuralNetworkGPU<EncodedData, DecodedData>;
+    return decoder as unknown as NeuralNetworkGPU<EncodedData, DecodedData>;
+  }
+
+  toJSON(): INeuralNetworkJSON {
+    return this.denoiser.toJSON();
+  }
+
+  fromJSON(json: INeuralNetworkJSON): this {
+    this.denoiser = this.denoiser.fromJSON(json);
+    return this;
   }
 
   /**

From 6d9dcd5998c78d48253972c2af2466fae27ed2cc Mon Sep 17 00:00:00 2001
From: Ola <seunvigo@gmail.com>
Date: Tue, 7 Jan 2025 18:45:58 -0600
Subject: [PATCH 2/6] chore: naming

---
 src/autoencoder.test.ts | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/src/autoencoder.test.ts b/src/autoencoder.test.ts
index ba8bd589..7a18d218 100644
--- a/src/autoencoder.test.ts
+++ b/src/autoencoder.test.ts
@@ -73,13 +73,13 @@ test('restores a net fromJSON', () => {
     return Math.round(net.denoise(args)[2]);
   }
 
-  const decoder = xornet.toJSON();
-  const restoredDecoder = xornet.fromJSON(decoder);
+  const jsonNet = xornet.toJSON();
+  const restoredNet = xornet.fromJSON(jsonNet);
 
-  const run1 = xor(restoredDecoder, 0, 0, 0);
-  const run2 = xor(restoredDecoder, 0, 1, 1);
-  const run3 = xor(restoredDecoder, 1, 0, 1);
-  const run4 = xor(restoredDecoder, 1, 1, 0);
+  const run1 = xor(restoredNet, 0, 0, 0);
+  const run2 = xor(restoredNet, 0, 1, 1);
+  const run3 = xor(restoredNet, 1, 0, 1);
+  const run4 = xor(restoredNet, 1, 1, 0);
 
   expect(run1).toBe(0);
   expect(run2).toBe(1);

From ef188cc0a2db457a6a211de4208dcb8b3a7d1e85 Mon Sep 17 00:00:00 2001
From: Ola <seunvigo@gmail.com>
Date: Tue, 7 Jan 2025 19:12:07 -0600
Subject: [PATCH 3/6] chore: json in options.json

---
 src/autoencoder.test.ts | 4 +++-
 src/autoencoder.ts      | 5 +++++
 2 files changed, 8 insertions(+), 1 deletion(-)

diff --git a/src/autoencoder.test.ts b/src/autoencoder.test.ts
index 7a18d218..0941f289 100644
--- a/src/autoencoder.test.ts
+++ b/src/autoencoder.test.ts
@@ -74,7 +74,9 @@ test('restores a net fromJSON', () => {
   }
 
   const jsonNet = xornet.toJSON();
-  const restoredNet = xornet.fromJSON(jsonNet);
+  const restoredNet = new AE<number[], number[]>({
+    json: jsonNet,
+  });
 
   const run1 = xor(restoredNet, 0, 0, 0);
   const run2 = xor(restoredNet, 0, 1, 1);
diff --git a/src/autoencoder.ts b/src/autoencoder.ts
index 74ffaafd..54fc1531 100644
--- a/src/autoencoder.ts
+++ b/src/autoencoder.ts
@@ -17,6 +17,7 @@ export interface IAEOptions {
   binaryThresh: number;
   decodedSize: number;
   hiddenLayers: number[];
+  json?: INeuralNetworkJSON;
 }
 
 /**
@@ -48,6 +49,10 @@ export class AE<
 
     // Create the denoiser subnet of the autoencoder.
     this.denoiser = new NeuralNetworkGPU<DecodedData, DecodedData>(options);
+
+    if (options.json) {
+      this.denoiser = this.denoiser.fromJSON(options.json);
+    }
   }
 
   /**

From 5b86dc5a29ed6058899daf5f5aac13b00bd71134 Mon Sep 17 00:00:00 2001
From: Ola <seunvigo@gmail.com>
Date: Tue, 7 Jan 2025 19:15:20 -0600
Subject: [PATCH 4/6] chore: lint

---
 src/autoencoder.ts | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/autoencoder.ts b/src/autoencoder.ts
index 54fc1531..209f3e44 100644
--- a/src/autoencoder.ts
+++ b/src/autoencoder.ts
@@ -193,7 +193,7 @@ export class AE<
 
     const decoder = new NeuralNetworkGPU().fromJSON(json);
 
-    return decoder as unknown as NeuralNetworkGPU<EncodedData, DecodedData>;
+    return (decoder as unknown) as NeuralNetworkGPU<EncodedData, DecodedData>;
   }
 
   toJSON(): INeuralNetworkJSON {

From faf01b01825c06696ad3cc0184bf619cf9fa5a36 Mon Sep 17 00:00:00 2001
From: Ola <seunvigo@gmail.com>
Date: Tue, 7 Jan 2025 19:16:58 -0600
Subject: [PATCH 5/6] chore: lint

---
 src/autoencoder.ts | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/src/autoencoder.ts b/src/autoencoder.ts
index 209f3e44..aae06053 100644
--- a/src/autoencoder.ts
+++ b/src/autoencoder.ts
@@ -155,9 +155,10 @@ export class AE<
     data: DecodedData[],
     options?: Partial<INeuralNetworkTrainOptions>
   ): INeuralNetworkState {
-    const preprocessedData: Array<
-      INeuralNetworkDatum<Partial<DecodedData>, Partial<DecodedData>>
-    > = [];
+    const preprocessedData: Array<INeuralNetworkDatum<
+      Partial<DecodedData>,
+      Partial<DecodedData>
+    >> = [];
 
     for (const datum of data) {
       preprocessedData.push({ input: datum, output: datum });

From fccfb8b46064adb2f33c9bd562dcf0016aed7530 Mon Sep 17 00:00:00 2001
From: Ola <seunvigo@gmail.com>
Date: Tue, 7 Jan 2025 19:44:06 -0600
Subject: [PATCH 6/6] chore: naming

---
 src/autoencoder.test.ts | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/src/autoencoder.test.ts b/src/autoencoder.test.ts
index 0941f289..b649add4 100644
--- a/src/autoencoder.test.ts
+++ b/src/autoencoder.test.ts
@@ -73,15 +73,15 @@ test('restores a net fromJSON', () => {
     return Math.round(net.denoise(args)[2]);
   }
 
-  const jsonNet = xornet.toJSON();
-  const restoredNet = new AE<number[], number[]>({
-    json: jsonNet,
+  const json = xornet.toJSON();
+  const net = new AE<number[], number[]>({
+    json,
   });
 
-  const run1 = xor(restoredNet, 0, 0, 0);
-  const run2 = xor(restoredNet, 0, 1, 1);
-  const run3 = xor(restoredNet, 1, 0, 1);
-  const run4 = xor(restoredNet, 1, 1, 0);
+  const run1 = xor(net, 0, 0, 0);
+  const run2 = xor(net, 0, 1, 1);
+  const run3 = xor(net, 1, 0, 1);
+  const run4 = xor(net, 1, 1, 0);
 
   expect(run1).toBe(0);
   expect(run2).toBe(1);

<!DOCTYPE html PUBLIC '-//W3C//DTD XHTML 1.0 Transitional//EN' 'http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd'>
<html xmlns='http://www.w3.org/1999/xhtml'>
<head>
<title>pFad - Phonifier reborn</title>
<meta http-equiv='Content-Type' content='text/html; charset=utf-8' />
</head>
<body>
<h1>Pfad - The Proxy pFad of &#169; 2024 Garber Painting. All rights reserved.</h1>


<!-- Disclaimer -->
<p>Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.</p>
<br>
<p>Alternative Proxies:</p><p><a href="http://clevelandohioweatherforecast.com/php-proxy/index.php?q=https://patch-diff.githubusercontent.com/raw/BrainJS/brain.js/pull/950.patch" target="_blank">Alternative Proxy</a></p><p><a href="http://clevelandohioweatherforecast.com/pFad/index.php?u=https://patch-diff.githubusercontent.com/raw/BrainJS/brain.js/pull/950.patch" target="_blank">pFad Proxy</a></p><p><a href="http://clevelandohioweatherforecast.com/pFad/v3index.php?u=https://patch-diff.githubusercontent.com/raw/BrainJS/brain.js/pull/950.patch" target="_blank">pFad v3 Proxy</a></p><p><a href="http://clevelandohioweatherforecast.com/pFad/v4index.php?u=https://patch-diff.githubusercontent.com/raw/BrainJS/brain.js/pull/950.patch" target="_blank">pFad v4 Proxy</a></p></body>
</html>