adding module ml-levenberg-marquardt

types/ml-levenberg-marquardt/index.d.ts

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+// Type definitions for ml-levenberg-marquardt 1.0.3
+// Project: https://github.com/mljs/levenberg-marquardt#readme
+// Definitions by: m93a <https://github.com/m93a>
+// Definitions: https://github.com/DefinitelyTyped/DefinitelyTyped
+
+
+declare namespace LM {
+    /**
+     * Function that receives an array of parameters and returns
+     * a function with the independent variable as a parameter.
+     */
+    export type FittedFunction = (parameters: number[]) => (x: number) => number;
+
+    /**
+     * Coordinates of points to fit.
+     */
+    export interface Data {
+        x: number[];
+        y: number[];
+    }
+
+    export type Options = {
+        damping: number,
+        initialValues: number[],
+        gradientDifference: number,
+        maxIterations: number,
+        errorTolerance: number
+    };
+
+    export type Result =  {
+        iterations: number,
+        parameterError: number,
+        parameterValues: number[]
+    };
+}
+
+declare function LM(d: LM.Data, fn: LM.FittedFunction, o: LM.Options): LM.Result;
+
+export default LM;

types/ml-levenberg-marquardt/ml-levenberg-marquardt-tests.ts

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+import LM from 'ml-levenberg-marquardt';
+
+function sinFunction([a, b]: number[]) {
+  return (t: number) => a * Math.sin(b * t);
+}
+
+const data = {
+  x: [
+    0, Math.PI / 2, Math.PI, Math.PI * 3 / 2
+  ],
+  y: [
+    0, 1, 0, -1
+  ]
+};
+
+const initialValues = [ 2, 4 ];
+
+const options = {
+  damping: 1.5,
+  initialValues,
+  gradientDifference: 10e-2,
+  maxIterations: 100,
+  errorTolerance: 10e-3
+};
+
+const fittedParams = LM(data, sinFunction, options);
+
+// this doesn't make sense but it uses fittedParams...
+if (fittedParams.iterations < 10) {
+    fittedParams.parameterValues[0] += fittedParams.parameterError;
+}

types/ml-levenberg-marquardt/tsconfig.json

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+{
+    "compilerOptions": {
+        "module": "commonjs",
+        "lib": [
+            "es6"
+        ],
+        "noImplicitAny": true,
+        "noImplicitThis": true,
+        "strictNullChecks": true,
+        "baseUrl": "../",
+        "typeRoots": [
+            "../"
+        ],
+        "types": [],
+        "noEmit": true,
+        "forceConsistentCasingInFileNames": true
+    },
+    "files": [
+        "index.d.ts",
+        "ml-levenberg-marquardt-tests.ts"
+    ]
+}

types/ml-levenberg-marquardt/tslint.json

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+{ "extends": "dtslint/dt.json" }