csiebler

import requests
import json
import pandas as pd
import matplotlib.pyplot as plt

subscription_key = "xxxxxxx"
endpoint = "https://westeurope.api.cognitive.microsoft.com"
batch_detection_url = "/anomalydetector/v1.0/timeseries/entire/detect"
latest_point_detection_url = "/anomalydetector/v1.0/timeseries/last/detect"

csiebler

System;
using System.Collections.Generic;
using System.Linq;
using System.Threading.Tasks;
using Microsoft.AspNetCore.Mvc;
using Microsoft.Azure.Management.Fluent;
using Microsoft.Azure.Management.ResourceManager.Fluent;
using Microsoft.Azure.Management.ResourceManager.Fluent.Authentication;
using Microsoft.Azure.Services.AppAuthentication;
using Microsoft.Rest;

csiebler

import logging
import json

import azure.functions as func

def main(req: func.HttpRequest) -> func.HttpResponse:
    products = [
        {
            "name": "Azure DevOps",
            "price": 4.99

csiebler

{
    "version": "2.0",
    "extensionBundle": {
        "id": "Microsoft.Azure.Functions.ExtensionBundle",
        "version": "[1.*, 2.0.0)"
    }
}

csiebler

curl https://packages.microsoft.com/keys/microsoft.asc | gpg --dearmor > microsoft.gpg
sudo mv microsoft.gpg /etc/apt/trusted.gpg.d/microsoft.gpg

sudo sh -c 'echo "deb [arch=amd64] https://packages.microsoft.com/repos/microsoft-ubuntu-$(lsb_release -cs)-prod $(lsb_release -cs) main" > /etc/apt/sources.list.d/dotnetdev.list'
sudo apt-get update

sudo apt-get install azure-functions-core-tools

csiebler

cd python-functions
func azure functionapp publish functions-python-test --python --build-native-deps

csiebler

import os
import sys
import argparse
import joblib
import pandas as pd

from azureml.core import Run
from azureml.core.run import Run

from sklearn.compose import ColumnTransformer

csiebler

import json
import os
import numpy as np
import pandas as pd
import joblib

# Your imports go here
  
# Update to your model's filename
model_filename = "model.pkl"

csiebler

In train.py:

run.tag('run_type', value='training')

In later step:

#Retrieve associated run, workspace and experiment
run = Run.get_context()

csiebler

In train.py:

run.tag('run_type', value='training')

In later step:

#Retrieve associated run, workspace and experiment
run = Run.get_context()