Skip to main content

Machine learning data flow for reproducible data science

Project description


Several pipelines for dataflow (Prefect):

  • nothing -> data_generation -> save to disk
  • preprocessing
  • augmentation
  • postprocessing

Model handle (Pytorch & Ignite):

  • fit -> give X and Y and learn
  • evaluate -> give X and Y, predict and return metrics
  • predict -> give X, return Y

Save logs and artifacts (MLflow):

  • save metrics during training (ignite)
  • save a bunch of data before and after each pipeline

Run model from with a REST app (MLflow):

  • save a github folder for each project
  • can easely have predition on a bunch of data


  • seed for reproducibility
  • map arguments to loop over a list
  • mlflow integration (automatic logs parameters, can log metrics or artifacts)
  • all prefect avantages
  • handle subflows
  • task bank to do basic operations
  • unit test handle by ward


[ ] map over subflows ? [ ] pip package for TaskBank and save commit (needed to rerun the flow) [ ] save python files inside mlruns/... and git them and save git commit [ ] being able to rerun a previous flow (save args and kwargs and output ref) [ ] run it in a docker [ ] put to prod thanks to travis CI that create the MLflow git repo [ ] do deep learning with it

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for HackDuck, version 0.1.2
Filename, size File type Python version Upload date Hashes
Filename, size HackDuck-0.1.2.tar.gz (3.2 kB) File type Source Python version None Upload date Hashes View
Filename, size HackDuck-0.1.2-py3-none-any.whl (4.2 kB) File type Wheel Python version py3 Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page