ESR DT Model
Project description
ESR_DT_MODEL
This package serves as a hub for consolidating all individual model developments associated with the Digital Twin project. Its primary objective is to generate unified and ensemble-based model outputs, which can be seamlessly integrated into any downstream applications.
Publish the package
The package can be published as:
make publish
Note the athe API token must be set up in ~/.pypirc
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
esr_dt_model-0.0.2.tar.gz
(1.9 kB
view details)
Built Distribution
File details
Details for the file esr_dt_model-0.0.2.tar.gz.
File metadata
- Download URL: esr_dt_model-0.0.2.tar.gz
- Upload date:
- Size: 1.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 7750003348b4fabd6528ade93518f8b3ad881061473271a46407aa4820bed5fa |
|
| MD5 | 95e3709fbe0b6001847fbc5544f6a015 |
|
| BLAKE2b-256 | e8aac52d3d5ed47be14f74d95f45394a0d51224d167f75bee552078669bfe4e2 |
File details
Details for the file esr_dt_model-0.0.2-py3-none-any.whl.
File metadata
- Download URL: esr_dt_model-0.0.2-py3-none-any.whl
- Upload date:
- Size: 3.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 979e9f0422bcc1e95e452db2dd838678b09e8e818a82f28ccfdf3e53f1584aee |
|
| MD5 | 44e502c08199bb819a6b729af06a6619 |
|
| BLAKE2b-256 | e27a7a6cc9e465e7db5a3915315deba92d097d6a09cb10a2b99aef911ed8378a |
