Steven Ramdas srmds

Demo: Flux Helm Operator -> Controller Migration

Create local cluster
```
kind create cluster
```
Barebones flux2 install for demo

Moved to Shopify/graphql-design-tutorial

If You've Never Used Sklearn's Pipeline Constructor...You're Doing It Wrong

How To Use sklearn Pipelines, FeatureUnions, and GridSearchCV With Your Own Transformers

What's a Pipeline and Why Use One?

The Pipeline constructor from sklearn allows you to chain transformers and estimators together into a sequence that functions as one cohesive unit. For example, if your model involves feature selection, standardization, and then regression, those three steps, each as it's own class, could be encapsulated together via Pipeline.

	name: Publish docs via GitHub Pages
	# syncs your mkdocs markdown files with azure devops wiki.
	# NOTE: this doesn't work with automated markdown files which maybe generated in your case
	# this also doesn't deal with ordering

	on:
	push:
	branches:
	- develop
	workflow_dispatch:

	import random

	import click
	import uvicorn
	from fastapi import FastAPI, APIRouter, Depends, Request


	# Service
	class MySingletonService:
	def __init__(self):

	# We set an environment variable in this phase so it gets picked up by pip, but we don't want to bake secrets into our container image
	FROM python:3.6-alpine AS builder

	ARG INDEX_URL
	ENV PIP_EXTRA_INDEX_URL=$INDEX_URL

	COPY requirements.txt .

	RUN pip install -U pip \
	&& pip install --user -r requirements.txt

	# Starting minikube with 8Gb of memory and 3 CPUs
	minikube --memory 8192 --cpus 3 start

	# Creating separate Namespace for Spark driver and executor pods
	kubectl create namespace spark

	# Creating ServiceAccount and ClusterRoleBinding for Spark
	kubectl create serviceaccount spark-serviceaccount --namespace spark
	kubectl create clusterrolebinding spark-rolebinding --clusterrole=edit --serviceaccount=spark:spark-serviceaccount --namespace=spark