Skip to main content

Workbench Bridges: End User Application Bridges to Workbench/AWS

Project description

Workbench Bridges

End User Application Bridges to Workbench/AWS ML Pipelines.

Installation

pip install workbench-bridges

Examples

Application invocation of an Endpoint on AWS.

import pandas as pd

# Workbench-Bridges Imports
from workbench_bridges.endpoints.fast_inference import fast_inference


if __name__ == "__main__":

    # Data will be passed in from the End-User Application
    eval_df = pd.read_csv("test_evaluation_data.csv")

    # Run inference on AWS Endpoint
    endpoint_name = "test-my-endpoint"
    results = fast_inference(endpoint_name, eval_df)

    # A Dataframe with Predictions is returned
    print(results)

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

workbench_bridges-0.2.5.tar.gz (42.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

workbench_bridges-0.2.5-py3-none-any.whl (33.2 kB view details)

Uploaded Python 3

File details

Details for the file workbench_bridges-0.2.5.tar.gz.

File metadata

  • Download URL: workbench_bridges-0.2.5.tar.gz
  • Upload date:
  • Size: 42.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for workbench_bridges-0.2.5.tar.gz
Algorithm Hash digest
SHA256 3c236deee7720ce5bdbfac3b77a8d521d1cef208c964b1a84aaf4a76765f3646
MD5 e264d825e0542c59735b10492f354972
BLAKE2b-256 e47c7898b204a5ba7835584aa747671ce519b40536d7d8f0e6b25ec3c08977d8

See more details on using hashes here.

Provenance

The following attestation bundles were made for workbench_bridges-0.2.5.tar.gz:

Publisher: publish.yml on SuperCowPowers/workbench-bridges

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file workbench_bridges-0.2.5-py3-none-any.whl.

File metadata

File hashes

Hashes for workbench_bridges-0.2.5-py3-none-any.whl
Algorithm Hash digest
SHA256 60f32ae7c6d99be0c990b2cd818cb312403dc5a1149eee4aed4dd883fbe5591e
MD5 3a47b385b82a069cfa185767df57d76b
BLAKE2b-256 889d49a702e22c475cdd34d2372c519d2902204d3e608c0f1bbec84d7e84120c

See more details on using hashes here.

Provenance

The following attestation bundles were made for workbench_bridges-0.2.5-py3-none-any.whl:

Publisher: publish.yml on SuperCowPowers/workbench-bridges

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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