小编ixa*_*aar的帖子

我有一个涉及的设置

前端服务器(Node.js,domain:localhost:3000)<--->后端(Django,Ajax,域:localhost:8000)

浏览器< - webapp < - Node.js(服务应用)

浏览器(webapp) - > Ajax - > Django(服务ajax POST请求)

现在,我的问题在于CORS设置,webapp使用它来向后端服务器进行Ajax调用.在chrome中,我一直在努力

当credentials标志为true时,无法在Access-Control-Allow-Origin中使用通配符.

在Firefox上也不起作用.

我的Node.js设置是:

var allowCrossDomain = function(req, res, next) {
    res.header('Access-Control-Allow-Origin', 'http://localhost:8000/');
    res.header('Access-Control-Allow-Credentials', true);
    res.header('Access-Control-Allow-Methods', 'GET,PUT,POST,DELETE');
    res.header("Access-Control-Allow-Headers", "Origin, X-Requested-With, Content-Type, Accept");
    next();
};

而在Django我使用这个中间件 与此相伴

webapp发出如下请求:

$.ajax({
    type: "POST",
    url: 'http://localhost:8000/blah',
    data: {},
    xhrFields: {
        withCredentials: true
    },
    crossDomain: true,
    dataType: 'json',
    success: successHandler
});

因此,webapp发送的请求标头如下所示:

Access-Control-Allow-Credentials: true
Access-Control-Allow-Headers: "Origin, X-Requested-With, Content-Type, Accept"
Access-Control-Allow-Methods: 'GET,PUT,POST,DELETE'
Content-Type: application/json 
Accept: */*
Accept-Encoding: gzip,deflate,sdch
Accept-Language: …

我有以下设置:

omg/telperiondocker hub上的docker 镜像一个kubernetes集群(有4个节点,每个节点有~50GB RAM)和充足的资源

我按照教程将图像从dockerhub拉到kubernetes

SERVICE_NAME=telperion
DOCKER_SERVER="https://index.docker.io/v1/"
DOCKER_USERNAME=username
DOCKER_PASSWORD=password
DOCKER_EMAIL="omg@whatever.com"

# Create secret
kubectl create secret docker-registry dockerhub --docker-server=$DOCKER_SERVER --docker-username=$DOCKER_USERNAME --docker-password=$DOCKER_PASSWORD --docker-email=$DOCKER_EMAIL

# Create service yaml
echo "apiVersion: v1 \n\
kind: Pod \n\
metadata: \n\
  name: ${SERVICE_NAME} \n\
spec: \n\
  containers: \n\
    - name: ${SERVICE_NAME} \n\
      image: omg/${SERVICE_NAME} \n\
      imagePullPolicy: Always \n\
      command: [ \"echo\",\"done deploying $SERVICE_NAME\" ] \n\
  imagePullSecrets: \n\
    - name: dockerhub" > $SERVICE_NAME.yaml

 # Deploy to kubernetes
 kubectl create -f $SERVICE_NAME.yaml

这导致pod进入了 CrashLoopBackoff

docker run …

我正在尝试在数据集的样本上使用高斯混合模型.我使用了两个MLlib(带pyspark)和scikit-learn得到非常不同的结果,scikit-learn一个看起来更逼真.

from pyspark.mllib.clustering import GaussianMixture as SparkGaussianMixture
from sklearn.mixture import GaussianMixture
from pyspark.mllib.linalg import Vectors

Scikit-learn:

local = pd.DataFrame([ x.asDict() for x in df.sample(0.0001).collect() ])
model1 = GaussianMixture(n_components=3)
model1.fit([ [x] for x in local['field'].tolist() ])

model1.means_
array([[7.56123598e+00],
   [1.32517410e+07],
   [3.96762639e+04]])

model1.covariances_
array([[[6.65177423e+00]],
   [[1.00000000e-06]],
   [[8.38380897e+10]]])

MLLib:

model2 = SparkGaussianMixture.train(
    sc.createDataFrame(local).rdd.map(lambda x: Vectors.dense(x.field)),
    k=3,
    convergenceTol=1e-4,
    maxIterations=100
)

model2.gaussians
[MultivariateGaussian(mu=DenseVector([28736.5113]), sigma=DenseMatrix(1, 1, [1094083795.0001], 0)),
 MultivariateGaussian(mu=DenseVector([7839059.9208]), sigma=DenseMatrix(1, 1, [38775218707109.83], 0)),
 MultivariateGaussian(mu=DenseVector([43.8723]), sigma=DenseMatrix(1, 1, [608204.4711], 0))] …

v8是否对单个对象的堆分配有限制？

a = new Array(1024*1024*102)

在节点命令行上失败

FATAL ERROR: JS Allocation failed - process out of memory

此外,当作为脚本运行时,这会失败并出现相同的错误

node --expose-gc --nouse-idle-notification --max-old-space-size=8192

FATAL ERROR: CALL_AND_RETRY_0 Allocation failed - process out of memory

var util = require('util');
o = {};

while(1) {
    o["hahahahahaha" + String(ctr)] = ctr;
    ctr++;

    if (ctr % 100000 === 0) {
        console.log(util.inspect(process.memoryUsage()));
        if (ctr % 10000000 === 0) gc();
    }
}

最后输出:

{ rss: 1009557504, heapTotal: 993408824, heapUsed: 964980592 }

然而,

var a = [];
while(1) {
    var …