A project based example of Data pipelines, ML workflow management, API endpoints and Monitoring.

Overview

MLOps

Code style: black Checked with mypy

MLops

A project based example of Data pipelines, ML workflow management, API endpoints and Monitoring.

Tools used:

Blog posts

Requirements

Poetry (dependency management)

$ curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python -
$ poetry --version
# Poetry version 1.1.10

pre-commit (static code analysis)

$ pip install pre-commit
$ pre-commit --version
# pre-commit 2.15.0

Minio (s3 compatible object storage)

Follow the instructions here - https://min.io/download

Setup

Environment setup

$ poetry install

MLflow

$ poetry shell
$ export MLFLOW_S3_ENDPOINT_URL=http://127.0.0.1:9000
$ export AWS_ACCESS_KEY_ID=minioadmin
$ export AWS_SECRET_ACCESS_KEY=minioadmin

# make sure that the backend store and artifact locations are same in the .env file as well
$ mlflow server \
    --backend-store-uri sqlite:///mlflow.db \
    --default-artifact-root s3://mlflow \
    --host 0.0.0.0

Minio

$ export MINIO_ROOT_USER=minioadmin
$ export MINIO_ROOT_PASSWORD=minioadmin

$ mkdir minio_data
$ minio server minio_data --console-address ":9001"

# API: http://192.168.29.103:9000  http://10.119.80.13:9000  http://127.0.0.1:9000
# RootUser: minioadmin
# RootPass: minioadmin

# Console: http://192.168.29.103:9001 http://10.119.80.13:9001 http://127.0.0.1:9001
# RootUser: minioadmin
# RootPass: minioadmin

# Command-line: https://docs.min.io/docs/minio-client-quickstart-guide
#    $ mc alias set myminio http://192.168.29.103:9000 minioadmin minioadmin

# Documentation: https://docs.min.io

Go to http://127.0.0.1:9001/buckets/ and create a bucket called mlflow.

Dagster

$ poetry shell
$ dagit -f mlops/pipeline.py

ElasticAPM

$ docker-compose -f docker-compose-monitoring.yaml up

FastAPI

$ poetry shell
$ export PYTHONPATH=.
$ python mlops/app/application.py

TODO

  • Setup with docker-compose.
  • Load testing.
  • Test cases.
  • CI/CD pipeline.
  • Drift detection.
Owner
Utsav
Utsav
Neighbourhood Retrieval (Nearest Neighbours) with Distance Correlation.

Neighbourhood Retrieval with Distance Correlation Assign Pseudo class labels to datapoints in the latent space. NNDC is a slim wrapper around FAISS. N

The Learning Machines 1 Jan 16, 2022
A repository to work on Machine Learning course. Select an algorithm to classify writer's gender, of Hebrew texts.

MachineLearning A repository to work on Machine Learning course. Select an algorithm to classify writer's gender, of Hebrew texts. Tested algorithms:

Haim Adrian 1 Feb 01, 2022
Penguins species predictor app is used to classify penguins species created using python's scikit-learn, fastapi, numpy and joblib packages.

Penguins Classification App Penguins species predictor app is used to classify penguins species using their island, sex, bill length (mm), bill depth

Siva Prakash 3 Apr 05, 2022
flexible time-series processing & feature extraction

A corona statistics and information telegram bot.

PreDiCT.IDLab 206 Dec 28, 2022
Firebase + Cloudrun + Machine learning

A simple end to end consumer lending decision engine powered by Google Cloud Platform (firebase hosting and cloudrun)

Emmanuel Ogunwede 8 Aug 16, 2022
Short PhD seminar on Machine Learning Security (Adversarial Machine Learning)

Short PhD seminar on Machine Learning Security (Adversarial Machine Learning)

141 Dec 27, 2022
Data Version Control or DVC is an open-source tool for data science and machine learning projects

Continuous Machine Learning project integration with DVC Data Version Control or DVC is an open-source tool for data science and machine learning proj

Azaria Gebremichael 2 Jul 29, 2021
easyNeuron is a simple way to create powerful machine learning models, analyze data and research cutting-edge AI.

easyNeuron is a simple way to create powerful machine learning models, analyze data and research cutting-edge AI.

Neuron AI 5 Jun 18, 2022
Python library which makes it possible to dynamically mask/anonymize data using JSON string or python dict rules in a PySpark environment.

pyspark-anonymizer Python library which makes it possible to dynamically mask/anonymize data using JSON string or python dict rules in a PySpark envir

6 Jun 30, 2022
CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning

CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning

Rishabh Iyer 141 Nov 10, 2022
MasTrade is a trading bot in baselines3,pytorch,gym

mastrade MasTrade is a trading bot in baselines3,pytorch,gym idea we have for example 1 btc and we buy a crypto with it with market option to trade in

Masoud Azizi 18 May 24, 2022
Management of exclusive GPU access for distributed machine learning workloads

TensorHive is an open source tool for managing computing resources used by multiple users across distributed hosts. It focuses on granting

Paweł Rościszewski 131 Dec 12, 2022
A quick reference guide to the most commonly used patterns and functions in PySpark SQL

Using PySpark we can process data from Hadoop HDFS, AWS S3, and many file systems. PySpark also is used to process real-time data using Streaming and

Sundar Ramamurthy 53 Dec 21, 2022
A data preprocessing and feature engineering script for a machine learning pipeline is prepared.

FEATURE ENGINEERING Business Problem: A data preprocessing and feature engineering script for a machine learning pipeline needs to be prepared. It is

Pinar Oner 7 Dec 18, 2021
My project contrasts K-Nearest Neighbors and Random Forrest Regressors on Real World data

kNN-vs-RFR My project contrasts K-Nearest Neighbors and Random Forrest Regressors on Real World data In many areas, rental bikes have been launched to

1 Oct 28, 2021
Sequence learning toolkit for Python

seqlearn seqlearn is a sequence classification toolkit for Python. It is designed to extend scikit-learn and offer as similar as possible an API. Comp

Lars 653 Dec 27, 2022
An open-source library of algorithms to analyse time series in GPU and CPU.

An open-source library of algorithms to analyse time series in GPU and CPU.

Shapelets 216 Dec 30, 2022
machine learning model deployment project of Iris classification model in a minimal UI using flask web framework and deployed it in Azure cloud using Azure app service

This is a machine learning model deployment project of Iris classification model in a minimal UI using flask web framework and deployed it in Azure cloud using Azure app service. We initially made th

Krishna Priyatham Potluri 73 Dec 01, 2022
BioPy is a collection (in-progress) of biologically-inspired algorithms written in Python

BioPy is a collection (in-progress) of biologically-inspired algorithms written in Python. Some of the algorithms included are mor

Jared M. Smith 40 Aug 26, 2022