Lukas Drewniak ldrewniak

## 01-model-training.ipynb

      
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                ldrewniak
                / 01-model-training.ipynb
            
            
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              November 5, 2019 14:01
            
          
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## install-libraries.sh
#!/bin/bash
pip install keras
pip install tensorflow
pip install sklearn
pip install mlflow
pip install azureml
pip install azureml-core

## run.py
import os
from subprocess import Popen
import webbrowser
import time

mlflow_port = 5002

Popen(f"cmd /c mlflow ui --port={mlflow_port}", shell=True, stdin=None, stdout=None, stderr=None, close_fds=True)

# give a sec till this start-up

## 02-build-and-deploy.ipynb

      
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                ldrewniak
                / 02-build-and-deploy.ipynb
            
            
              Created
              November 5, 2019 14:08
            
          
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## azure-pipelines.yml
trigger:
- master

pool:
  vmImage: 'ubuntu-18.04'

steps:
- task: UsePythonVersion@0
  displayName: 'Use Python 3.6.9'
  inputs:

## 03-devops-pipeline-build.ipynb

      
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                ldrewniak
                / 03-devops-pipeline-build.ipynb
            
            
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              November 5, 2019 14:10
            
          
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	#!/bin/bash
	pip install keras
	pip install tensorflow
	pip install sklearn
	pip install mlflow
	pip install azureml
	pip install azureml-core
	import os
	from subprocess import Popen
	import webbrowser
	import time

	mlflow_port = 5002

	Popen(f"cmd /c mlflow ui --port={mlflow_port}", shell=True, stdin=None, stdout=None, stderr=None, close_fds=True)

	# give a sec till this start-up
	trigger:
	- master

	pool:
	vmImage: 'ubuntu-18.04'

	steps:
	- task: UsePythonVersion@0
	displayName: 'Use Python 3.6.9'
	inputs: