dice89

articles = [
    {
        "article_id1": "123",
        "description": "Some description",
        "order_units": ["PCS"]
    },
    {
        "article_id1": "456",
        "description": "Language does not matter",
        "order_units": ["KG"]

dice89

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
from sklearn.datasets import load_breast_cancer
sns.set()
data = load_breast_cancer()
breast_cancer_df = pd.DataFrame(data['data'])
breast_cancer_df.columns = data['feature_names']
breast_cancer_df['target'] = data['target']

dice89

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
from sklearn.datasets import load_breast_cancer
sns.set()
data = load_breast_cancer()
breast_cancer_df = pd.DataFrame(data['data'])
breast_cancer_df.columns = data['feature_names']
breast_cancer_df['target'] = data['target']

dice89

<img src="http://localhost:5000/plots/breast_cancer_data/correlation_matrix" />

dice89

from flask import Flask, send_file, make_response, 
from plot import do_plot
app = Flask(__name__)

@app.route('/plots/breast_cancer_data/correlation_matrix', methods=['GET'])
def correlation_matrix():
    bytes_obj = do_plot()
    
    return send_file(bytes_obj,
                     attachment_filename='plot.png',

dice89

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
import io
from sklearn.datasets import load_breast_cancer
def do_plot():
    # Loading 
    data = load_breast_cancer()
    breast_cancer_df = pd.DataFrame(data['data'])

dice89

# install terraform e.g. for mac
brew install terraform
# build environment
terraform init
terraform apply \
  -var 'project='<your_gcp_project_id>` \
  -var 'region=europe-west1-d'

dice89

#!/bin/bash
echo "Checking for CUDA and installing."
# Check for CUDA and try to install.
if ! dpkg-query -W cuda-9-0; then
  # The 16.04 installer works with 16.10.
  curl -O http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1604_9.0.176-1_amd64.deb
  dpkg -i ./cuda-repo-ubuntu1604_9.0.176-1_amd64.deb
  apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub
  apt-get update
  apt-get install cuda-9-0 -y

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resource "google_compute_instance" "gpu-vm" {
  count = 1
  name = "gpu-vm"
  machine_type = "n1-standard-4" // 1 CPU 16 Gig of RAM
  zone = "${var.region}" // Call it from variable "region"
  tags = ["http"]
  boot_disk {
    initialize_params {
      image = "ubuntu-os-cloud/ubuntu-1604-lts"
      size = 50 // 50 GB Storage

dice89

gcloud projects create <your>-dl --enable-cloud-apis
gcloud config set project  <your>-dl
gcloud services enable compute.googleapis.com
gcloud iam service-accounts create gcp-terraform-dl --display-name gcp-terraform-dl
gcloud projects add-iam-policy-binding  <your>-dl \
            --member='serviceAccount:gcp-terraform-dl@ <your>-dl.iam.gserviceaccount.com' --role='roles/owner'

gcloud iam service-accounts keys create 'credentials.json' --iam-account='gcp-terraform-dl@<your>-dl.iam.gserviceaccount.com'