Skip to main content

A machine learning mini-batch pipeline for out-of-memory training

Project description

MiniPipe is a mini-batch pipeline designed for training machine learning models on very large datasets in a streaming fashion, written in pure python. MiniPipe is designed for situations where the data are too large to fit into memory, or when doing so would discourage experiment iterations due to prohibitively long loading and/or processing times.

Project details


Download files

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

Source Distribution

minipipe-0.1.9.tar.gz (9.4 kB view details)

Uploaded Source

File details

Details for the file minipipe-0.1.9.tar.gz.

File metadata

  • Download URL: minipipe-0.1.9.tar.gz
  • Upload date:
  • Size: 9.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: Python-urllib/3.6

File hashes

Hashes for minipipe-0.1.9.tar.gz
Algorithm Hash digest
SHA256 b5e4a0343ce931dca014971b7b37253c36ebdfd9356c34abede80850e29324be
MD5 4fddd94d0227d629e272be8d2b0190fa
BLAKE2b-256 fdcec1249d9c16477c3635f478d2f8abf346945640f26b292db26a7043ef3ea1

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page