Library for designing Machine Learning models for time series forecast
Project description
The author of this package has not provided a project description
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
aionx-1.0.4.tar.gz
(28.6 kB
view details)
Built Distribution
aionx-1.0.4-py3-none-any.whl
(34.9 kB
view details)
File details
Details for the file aionx-1.0.4.tar.gz
.
File metadata
- Download URL: aionx-1.0.4.tar.gz
- Upload date:
- Size: 28.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0cbf4ad5475028064f7c2d6704a220f68c740a1225edb8e88b4e2c9083bb9b4c |
|
MD5 | 0a3bf160b53d2a1abe4c2a07fa021218 |
|
BLAKE2b-256 | bb55a9173ee1c9f947f1b90f7945762a0b33f07d3669d12b9d435fbeb67deae4 |
File details
Details for the file aionx-1.0.4-py3-none-any.whl
.
File metadata
- Download URL: aionx-1.0.4-py3-none-any.whl
- Upload date:
- Size: 34.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c72dd30c7cad5a94fe5451faebad7718f6586b35a6102b36b6c652f81d6cedfb |
|
MD5 | b80d8639b62494940c7f9e9d94df89ab |
|
BLAKE2b-256 | 9e66b09d5f38e22c0ef8a7ac46c658eb267b4bc9eec3e29cad109400475fb531 |