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-0.1.3.tar.gz
(26.1 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-0.1.3.tar.gz.
File metadata
- Download URL: workbench_bridges-0.1.3.tar.gz
- Upload date:
- Size: 26.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d857c8556d2f1bf8cc9d89deab676023acf847fd67eac46d3400d68364b0915b
|
|
| MD5 |
a40dd12203397c52d230e1747d15e739
|
|
| BLAKE2b-256 |
b4c04439c67ce6f115a56d66483dee1c9d872197752bfffb3fa27709b71542a5
|
File details
Details for the file workbench_bridges-0.1.3-py3-none-any.whl.
File metadata
- Download URL: workbench_bridges-0.1.3-py3-none-any.whl
- Upload date:
- Size: 21.6 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 |
9376d5729ad51d8c109c03ac4c3ae22bba2fa5d8d8ad79a02db5297bff686cb4
|
|
| MD5 |
edd38d8261432e606ef6cc30ffc4a4b4
|
|
| BLAKE2b-256 |
0b5526bc5c106cbaff23aa9aeed65ccd01a0a40c6c52a5d7067bd9a8e0e8f470
|