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
Release history Release notifications | RSS feed
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-0.1.10.tar.gz
(32.4 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file workbench_bridges-0.1.10.tar.gz.
File metadata
- Download URL: workbench_bridges-0.1.10.tar.gz
- Upload date:
- Size: 32.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7e32d215965ff48e0c0b46be5124adaceaa972543c753e5de8663b178e845038
|
|
| MD5 |
e54347bdac9ba3d95c1a35319a7991d5
|
|
| BLAKE2b-256 |
6baab443545bb5512e6d334085ebaf8399a7761a7b596534a6f52160cd46957e
|
File details
Details for the file workbench_bridges-0.1.10-py3-none-any.whl.
File metadata
- Download URL: workbench_bridges-0.1.10-py3-none-any.whl
- Upload date:
- Size: 29.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
bd885c171a25eacc0a84faadc8993d2b41a3ea2946a472fc460ee2df2edb9fc7
|
|
| MD5 |
5ac01ab503ad00d7914fc77e8c481264
|
|
| BLAKE2b-256 |
e7f3be03288b928c43e1d8f1648a46aea9ecf2b04c065b87175724c063cd12a8
|