yindia

import matplotlib.pyplot as plt
import numpy as np
import tensorflow as tf

points_n = 200
clusters_n = 3
iteration_n = 100

x =  tf.cast(tf.convert_to_tensor(np.random.rand(points_n,2),dtype=tf.float32),tf.float32)
points =  tf.placeholder(tf.float32, [points_n,2])

yindia

Action,Drama,Thriller,Comedy,Romance,Adventure,Animation,History,Sci-Fi,Family,Crime,Horror,Mystery,Fantasy,Documentary,"Sports ",War,Suspense,Musical,Biography,Social,Mythology,Classic,Devotional,Satire,Dance,Children,Noir,"Period ",CRIME,Magic,"Short Film",ROMANCE,DEVOTIONAL,Patriotic,"International Music ",Festival,Theatre,Cricket,Concert,Screening,ACTION,,"Party ",Bollywood,Romantic,Adult,Classical,Religious,Psychological,Spiritual,Music,Political,Zombie-Comedy,Romantic-Comedy,Action-Comedy,EDM,"Fusion Music","Rock ",Pop,Western,Kids,Screenings,"Black / Dark Comedy",Fiction,Entertainment,Period,Emotional,Offbeat,Adaptation,Friendship,Love,Mature,Supernatural,Sports,Costume,HISTORY,Art,General,"Special Interest",FAMILY,COMEDY,DRAMA,Obscure,Teenage,"Black Comedy",SOCIAL,Classics,Short,MYSTERY,Urban,THRILLER,"ROMANCE COMEDY","Love Triangle","Science fiction",Biopic,Spirituality,"Performing Arts",Westren,Filmnoir,"Costume Drama",Stunt,Historical,"Science Fiction","Crime Thriller",Thiller,"ACTION COMEDY","Roma

yindia

import tensorflow as tf #importing the tensorflow library

#Input node for computational graph as input
data = [
    [1, 0, 0],
    [1, 0, 1],
    [1, 1, 1],
    [0, 1, 1],
]
#Input node for computational graph as output

yindia

Keybase proof

I hereby claim:

• I am evalsocket on github.
• I am evalsocket (https://keybase.io/evalsocket) on keybase.
• I have a public key whose fingerprint is 55C8 1214 57C5 6EA5 919D 92E8 AF8A BF83 0AED B0B7

To claim this, I am signing this object:

yindia

 static_resources:
      listeners:
      - address:
          socket_address:
            address: 0.0.0.0
            port_value: 80 
        use_original_dst: true
        filter_chains:
        - filters:
          - name: envoy.http_connection_manager

yindia

---
listeners:
- address: tcp://0.0.0.0:9999
  use_original_dst: true
  filters:
  - type: read
    name: http_connection_manager
    config:
      codec_type: auto
      stat_prefix: ingress_http

yindia

# Stage 1 - the build process
FROM node:10.11.0-alpine AS base
MAINTAINER evalsocket@protonmail.com
WORKDIR /usr/src/app

# dev image contains  everything needed for testing, development and building
FROM base AS development
COPY package.json yarn.lock ./

# first set aside prod dependencies so we can copy in to the prod image

yindia

kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1beta1
metadata:
  name: tiller-clusterrolebinding
subjects:
- kind: ServiceAccount
  name: tiller
  namespace: kube-system
roleRef:
  kind: ClusterRole

yindia

apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRole
metadata:
  name: prom-admin
rules:
# Just an example, feel free to change it
- apiGroups: [""]
  resources: ["clusterRole", "clusterRoleBinding"]
  verbs: ["get", "watch", "list", "create", "update", "patch", "delete"]

yindia

apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRoleBinding
metadata:
  name: prom-rbac
subjects:
- kind: User
  name: yuvraj@zoop.one
roleRef:
  kind: ClusterRole
  name: prom-admin