Add: Definitions for the word2vector module

types/word2vector/index.d.ts

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+// Type definitions for word2vector 2.1
+// Project: https://github.com/LeeXun/word2vector#readme
+// Definitions by: Rene Keijzer <https://github.com/renekeijzer>
+// Definitions: https://github.com/DefinitelyTyped/DefinitelyTyped
+// TypeScript Version: 2.2
+
+export function w2v(): any;
+export function load(modelfile: string, filetype?: string): boolean;
+export function getVector(word: string): number[];
+export function getVectors(words: string[]): number[][];
+export function getNeighbors(vector: number[], opt?: object): object[];
+export function getSimilarWords(word: string, options?: object): object[];
+export function bin2txt(binFile: string): boolean;
+export function add(p1: number[], p2: number[], opt?: object): any;
+export function add(p1: string, p2: string, opt?: object): any;
+export function substract(p1: string, p2: string, opt?: object): any;
+export function substract(p1: number[], p2: number[], opt?: object): any;
+export function similarity(w1: string, w2: string, options?: object): any;
+
+export function train(
+    trainFile: string,
+    modelFile: string,
+    options?: object,
+    callback?: () => void
+): void;

types/word2vector/tsconfig.json

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+{
+    "compilerOptions": {
+        "module": "commonjs",
+        "lib": [
+            "es6"
+        ],
+        "noImplicitAny": true,
+        "noImplicitThis": true,
+        "strictNullChecks": true,
+        "strictFunctionTypes": true,
+        "baseUrl": "../",
+        "typeRoots": [
+            "../"
+        ],
+        "types": [],
+        "noEmit": true,
+        "forceConsistentCasingInFileNames": true
+    },
+    "files": [
+        "index.d.ts",
+        "word2vector-tests.ts"
+    ]
+}

types/word2vector/tslint.json

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

types/word2vector/word2vector-tests.ts

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+import w2v = require("word2vector");
+
+const trainFile = "./build/data/train.data";
+const modelFile = "./build/data/test.model.bin";
+
+w2v.train(trainFile, modelFile, {
+    cbow: 1, // use the continuous bag of words model //default
+    size: 10, // sets the size (dimension) of word vectors // default 100
+    window: 8, // sets maximal skip length between words // default 5
+    binary: 1, // save the resulting vectors in binary mode // default off
+    negative: 25, // number of negative examples; common values are 3 - 10 (0 = not used) // default 5
+    hs: 0, // 1 = use  Hierarchical Softmax // default 0
+    sample: 1e-4,
+    threads: 20,
+    iter: 15,
+    minCount: 1, // This will discard words that appear less than *minCount* times // default 5
+    logOn: false // sets whether any output should be printed to the console // default false
+});
+
+w2v.load(modelFile);
+w2v.bin2txt("test.model.bin");
+
+const vector: number[] = w2v.getVector("孫悟空");
+const vector2: number[] = w2v.getVector("李洵");
+const multipleVectors: number[][] = w2v.getVectors(["孫悟空", "李洵"]);
+
+const similiarwords: object[] = w2v.getSimilarWords("唐三藏");
+const a: object[] = w2v.getNeighbors(w2v.getVector("唐三藏"), { N: 9 });
+
+// this can be a number or false if word is not in the model
+const similarity: any = w2v.similarity("唐三藏", "孫悟空");
+
+let vector3: number[] = w2v.add("孫悟空", "孫悟空");
+vector3 = w2v.add(vector, vector2);
+
+vector3 = w2v.substract("孫悟空", "孫悟空");
+vector3 = w2v.substract(vector, vector2);