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libsvm-wasm

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libsvm-wasm - npm Package Compare versions

Comparing version 0.0.5 to 0.0.6

dist/index.d.ts

39

example/index.ts

@@ -1,2 +0,2 @@

import { SVM } from '../src/';
import { SVM, ISVMParam, SVM_TYPE, KERNEL_TYPE, SVMParam } from '../src/';
import { readFileSync } from 'fs';

@@ -13,3 +13,2 @@ import { join } from 'path';

const label = rawData.map(it => parseInt(it[0]));

@@ -19,18 +18,36 @@ const data = rawData.map(it => it.slice(1).map(it => parseFloat(it)));

async function ml(data: any, label: any){
const svm = new SVM();
svm.feedSamples(data, label);
const param: ISVMParam = {
svm_type: SVM_TYPE.EPSILON_SVR,
kernel_type: KERNEL_TYPE.RBF,
degree: 3,
gamma: 1/(2*6.75),
coef0: 0,
cache_size: 100,
C: 1,
nr_weight: 0,
weight_label: [],
weight: [],
nu: 0.5,
p: 0.1,
shrinking: 1,
probability: 0
};
const aParam: SVMParam = new SVMParam(param, 1e-3);
const svm = new SVM(aParam);
await svm.feedSamples([[1,1,1], [-2,-2,2]], [0, 1]);
await svm.train();
let pred_data: Array<number> = [];
for(let i in data){
let pred = await svm.predict(data[i])
pred_data.push(pred);
const pred = [[1,1,1], [-2,-2,-2]];
for(let i in pred){
let p = await svm.predict(data[i])
pred_data.push(p);
}
const evaluate = svm.evaluate(label, pred_data);
console.log(evaluate)
console.log(pred_data);
// const evaluate = svm.evaluate(label, pred_data);
// console.log(evaluate)
}
ml(data,label)
{
"name": "libsvm-wasm",
"version": "0.0.5",
"version": "0.0.6",
"description": "",

@@ -5,0 +5,0 @@ "main": "dist/index.js",

@@ -40,6 +40,6 @@ import svmFactory, { LibsvmModlue } from '../dist/libsvm';

public param: ISVMParam = {
svm_type: SVM_TYPE.C_SVC,
svm_type: SVM_TYPE.EPSILON_SVR,
kernel_type: KERNEL_TYPE.RBF,
degree: 3,
gamma: 0,
gamma: 1/(2*6.75),
coef0: 0,

@@ -53,3 +53,3 @@ cache_size: 100,

p: 0.1,
shrinking: 0,
shrinking: 1,
probability: 0

@@ -249,2 +249,3 @@ };

SVM,
ISVMParam,
SVM_TYPE,

@@ -251,0 +252,0 @@ KERNEL_TYPE,

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