Skip to main content

Profiling of machine learning models based on scikit-learning interface

Project description

# scikit-profiling Profiling of machine learning models based on scikit-learning interface

## Installation

You can install DataPipeML directly from PyPI:

pip install skprofiling

Or from source:

` git clone https://github.com/tiagohcalves/scikit-profiling cd datapipe pip install . `

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

skprofiling-0.1.tar.gz (4.8 kB view details)

Uploaded Source

File details

Details for the file skprofiling-0.1.tar.gz.

File metadata

  • Download URL: skprofiling-0.1.tar.gz
  • Upload date:
  • Size: 4.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4

File hashes

Hashes for skprofiling-0.1.tar.gz
Algorithm Hash digest
SHA256 fb03a80c621b5e625d4a7302a1ffa6af7e69abcdf8e18ba1d526d29dbd83e179
MD5 efb6923cff6cd22c9300c211ebb4828f
BLAKE2b-256 68f3fa5ea3a143c7bdbed856d5237fd170fa2e572739de88e1d6fa77428fa77f

See more details on using hashes here.

Supported by

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