ascent-science-cma-es
Ascent Science SDK plugin for CMA-ES (连续优化).
python -m pip install ascent-science-cma-es==0.1.0
import ascent
algorithm = ascent.continuous.CMAES(
user_id="YOUR_USER_ID",
sdk_code="YOUR_SDK_CODE",
# Algorithm parameters may also be passed here.
)
result = algorithm.run(
# Input fields accepted by CMA-ES.
)
print(result.result)
The plugin executes the algorithm through the licensed Ascent Science API. Set
ASCENT_ENDPOINT, ASCENT_USER_ID, and ASCENT_SDK_CODE instead of passing
credentials in code when preferred.
Metadata
Release files for ascent-science-cma-es 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ascent_science_cma_es-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Release files / ascent_science_cma_es-0.1.0-py3-none-any.whl
| Download URL | ascent_science_cma_es-0.1.0-py3-none-any.whl |
|---|---|
| Size | 2.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
b5c06042f2f6d304fde73f8e8c6f3478686cf40bc2ab4fe32dbfb41a869a3ce3
|
|
BLAKE2b-256 checksum How to use checksums |
864a406f31dca6fb2777366f484c142c421e385b92079b35865a54cf157cc099
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.3
|