VEOX Evolution Client
Professional-grade client for the VEOX Evolution REST API with stunning UX.
Quick Start
from veox_client import VeoxEvolver
evolver = VeoxEvolver("binary")
evolver.fit(max_generations=10, population_size=20)
print(evolver.best_fitness_) # Best score
print(evolver.best_pipeline_) # Best genome as readable string
print(evolver.champions_) # All champions
evolver.save("my_results.json") # Persist results
With auto-managed server:
with VeoxEvolver.serve(port=8090) as evolver:
evolver.category = "binary"
evolver.fit(max_generations=10)
The fit() call blocks until the evolution completes (or fails / times out),
while rendering a live rich dashboard in the terminal showing real-time
progress, fitness curves, champion table, ETA, and engine statistics.
Metadata
Release files for veox-client 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| veox_client-0.1.0.tar.gz | 16.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| veox_client-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 31.1 kB
Release files / veox_client-0.1.0.tar.gz
| Download URL | veox_client-0.1.0.tar.gz |
|---|---|
| Size | 16.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/6.2.0 CPython/3.11.13
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Release files / veox_client-0.1.0-py3-none-any.whl
| Download URL | veox_client-0.1.0-py3-none-any.whl |
|---|---|
| Size | 15.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.13
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