Avi Chad-Friedman achad4

achad4 / customer_model.py

Created April 6, 2022 22:20

	import ...
	import fire


	class CustomerModel(BaseModel):

	def __init__(self):
	super().__init__()

	def train_model(lookback_days=30: int):

achad4 / batch_customer_ml_inference_with_dynamodb.py

Created February 5, 2023 16:44

Example code for batch ML inference from DynamoDB using GSI

	import boto3
	from datetime import datetime
	import numpy as np
	from fastapi import FastAPI

	app = FastAPI()
	dynamodb = boto3.resource("dynamodb")
	s3 = boto3.client('s3')

achad4 / dynamodb_table_single_index.py

Created February 5, 2023 16:48

	import boto3

	dynamodb = boto3.resource("dynamodb")

	params = {
	'TableName': "customer_purchase_ts",
	"KeySchema": [
	{"AttributeName": "customer_id", "KeyType": "HASH"},
	{"AttributeName": "transaction_date_epoch", "KeyType": "RANGE"}
	],

achad4 / dynamodb_table_gsi.py

Created February 5, 2023 16:49

	import boto3

	dynamodb = boto3.resource("dynamodb")

	params = {
	"TableName": "customer_purchase_ts",
	"KeySchema": [
	{"AttributeName": "customer_id", "KeyType": "HASH"}
	],
	"LocalSecondaryIndexes": [

achad4 / purchase_table.sql

Created February 5, 2023 16:51

	/*
	purchase table example

	transaction_date \| customer_id \| purchase_price \| category

	2022-01-01 customer_A $10 jewelry

	2022-01-02 customer_A $1 t-shirts

	...