finish loss utils function, add to package, bump version

lib/index.d.ts

@@ -14,4 +14,4 @@ export declare const pow: (a: Value, b: Value) => Value;
 export declare const neg: (a: Value) => Value;
 export declare const div: (a: Value, b: Value) => Value;
 export { Neuron, Layer, MLP } from './nn';
-export { toValues } from './utils';
+export { toValues, getLoss } from './utils';

lib/index.js

@@ -1,6 +1,6 @@
 "use strict";
 Object.defineProperty(exports, "__esModule", { value: true });
-exports.toValues = exports.MLP = exports.Layer = exports.Neuron = exports.div = exports.neg = exports.pow = exports.mul = exports.sub = exports.add = exports.Value = void 0;
+exports.getLoss = exports.toValues = exports.MLP = exports.Layer = exports.Neuron = exports.div = exports.neg = exports.pow = exports.mul = exports.sub = exports.add = exports.Value = void 0;
 class Value {
     data;
     _children;
@@ -108,3 +108,4 @@ Object.defineProperty(exports, "Layer", { enumerable: true, get: function () { r
 Object.defineProperty(exports, "MLP", { enumerable: true, get: function () { return nn_1.MLP; } });
 var utils_1 = require("./utils");
 Object.defineProperty(exports, "toValues", { enumerable: true, get: function () { return utils_1.toValues; } });
+Object.defineProperty(exports, "getLoss", { enumerable: true, get: function () { return utils_1.getLoss; } });

lib/nn.d.ts

@@ -18,4 +18,3 @@ export declare class MLP {
     parameters(): Value[];
     run(inputs: Value[]): Value | Value[];
 }
-export declare const loss: (ygt: Value[], ypred: Value[]) => Value;

lib/nn.js

@@ -1,6 +1,6 @@
 "use strict";
 Object.defineProperty(exports, "__esModule", { value: true });
-exports.loss = exports.MLP = exports.Layer = exports.Neuron = void 0;
+exports.MLP = exports.Layer = exports.Neuron = void 0;
 const _1 = require(".");
 class Neuron {
     w;
@@ -48,11 +48,3 @@ class MLP {
     }
 }
 exports.MLP = MLP;
-const loss = (ygt, ypred) => {
-    let result = new _1.Value(0);
-    for (let i = 0; i < ygt.length; i++) {
-        result = (0, _1.add)(result, (0, _1.mul)((0, _1.sub)(ygt[i], ypred[i]), (0, _1.sub)(ygt[i], ypred[i])));
-    }
-    return result;
-};
-exports.loss = loss;

lib/utils.d.ts

@@ -1,2 +1,3 @@
 import { Value } from '.';
 export declare function toValues(arr: number[]): Value[];
+export declare const getLoss: (ygt: Value[], ypred: Value[]) => Value;

lib/utils.js

@@ -1,8 +1,16 @@
 "use strict";
 Object.defineProperty(exports, "__esModule", { value: true });
-exports.toValues = void 0;
+exports.getLoss = exports.toValues = void 0;
 const _1 = require(".");
 function toValues(arr) {
     return arr.map((x) => new _1.Value(x));
 }
 exports.toValues = toValues;
+const getLoss = (ygt, ypred) => {
+    let result = new _1.Value(0);
+    for (let i = 0; i < ygt.length; i++) {
+        result = (0, _1.add)(result, (0, _1.mul)((0, _1.sub)(ygt[i], ypred[i]), (0, _1.sub)(ygt[i], ypred[i])));
+    }
+    return result;
+};
+exports.getLoss = getLoss;

package.json

@@ -1,6 +1,6 @@
 {
   "name": "microgradts",
-  "version": "2.3.0",
+  "version": "2.4.0",
   "license": "MIT",
   "devDependencies": {
     "@types/node": "^20.5.7",

src/index.ts

@@ -122,4 +122,4 @@ export const div = (a: Value, b: Value) => {
 };
 
 export { Neuron, Layer, MLP } from './nn';
-export { toValues } from './utils';
+export { toValues, getLoss } from './utils';

src/nn.ts

@@ -59,11 +59,3 @@ export class MLP {
     return outputs.length === 1 ? outputs[0] : outputs;
   }
 }
-
-export const loss = (ygt: Value[], ypred: Value[]) => {
-  let result = new Value(0);
-  for (let i = 0; i < ygt.length; i++) {
-    result = add(result, mul(sub(ygt[i], ypred[i]), sub(ygt[i], ypred[i])));
-  }
-  return result;
-};

src/utils.ts

@@ -1,5 +1,13 @@
-import { Value } from '.';
+import { Value, add, mul, sub } from '.';
 
 export function toValues(arr: number[]): Value[] {
   return arr.map((x) => new Value(x));
 }
+
+export const getLoss = (ygt: Value[], ypred: Value[]) => {
+  let result = new Value(0);
+  for (let i = 0; i < ygt.length; i++) {
+    result = add(result, mul(sub(ygt[i], ypred[i]), sub(ygt[i], ypred[i])));
+  }
+  return result;
+};