Enhance test reliability by adding retry options to various model tests

Author: ishii-norimi

tests/lib/model/knearestneighbor.test.js

@@ -116,7 +116,7 @@ describe.each([
 	'chebyshev',
 	'minkowski',
 	(a, b) => a.reduce((s, v, i) => s + Math.exp((v - b[i]) ** 2) - 1, 0),
-])('anomaly detection %s', metric => {
+])('anomaly detection %s', { retry: 5 }, metric => {
 	test.each([undefined, 5])('k %j', k => {
 		const model = new KNNAnomaly(k, metric)
 		const x = Matrix.randn(100, 2, 0, 0.2).toArray()

tests/lib/model/lvq.test.js

@@ -35,7 +35,7 @@ describe('clustering', () => {
 })
 
 describe.each([1, 2, 3])('classification type %i', type => {
-	test('default', () => {
+	test('default', { retry: 5 }, () => {
 		const model = new LVQClassifier(type)
 		const x = Matrix.concat(Matrix.randn(50, 2, 0, 0.2), Matrix.randn(50, 2, 5, 0.2)).toArray()
 		x[50] = [0.1, 0.1]

tests/lib/model/nns/layer/graph_sage.test.js

@@ -255,7 +255,7 @@ describe('nn', () => {
 		}
 	})
 
-	test('grad decay', { timeout: 10000 }, () => {
+	test('grad decay', { retry: 3, timeout: 30000 }, () => {
 		const net = NeuralNetwork.fromObject(
 			[{ type: 'input' }, { type: 'graph_sage', out_size: 3, l2_decay: 0.001 }, { type: 'readout' }],
 			'mse',

tests/lib/model/nof.test.js

@@ -14,7 +14,7 @@ describe('anomaly detection', () => {
 		expect(y[y.length - 1]).toBe(true)
 	})
 
-	test('no parameters', () => {
+	test('no parameters', { retry: 3 }, () => {
 		const model = new NOF()
 		const x = Matrix.randn(100, 2, 0, 0.2).toArray()
 		x.push([10, 10])