Graph Based Spatio-Temporal Attention Models For Demand Forecasting
Project description
GraphSTAM
Graph Based Spatio-Temporal Attention Models
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
GraphSTAM-0.1.2.tar.gz
(82.5 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
GraphSTAM-0.1.2-py3-none-any.whl
(85.1 kB
view details)
File details
Details for the file GraphSTAM-0.1.2.tar.gz.
File metadata
- Download URL: GraphSTAM-0.1.2.tar.gz
- Upload date:
- Size: 82.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.17
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c2898ed0e2505bc9ac745c6571a56878aa30b2b377fe209904b4c318c5ef85e3
|
|
| MD5 |
ba16338418e7afd6ebf488cd216ddd58
|
|
| BLAKE2b-256 |
672eb7634e4edee124ae3d505905f166644f7aa09f3a3f7144351199fcb3e5a1
|
File details
Details for the file GraphSTAM-0.1.2-py3-none-any.whl.
File metadata
- Download URL: GraphSTAM-0.1.2-py3-none-any.whl
- Upload date:
- Size: 85.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.17
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0b690f6a4eba524ae81a7bb5249eb4d8d9aeb71869583f3897b7646b71575b85
|
|
| MD5 |
d4fe590471e506b1acba3ddc2c6a0ebc
|
|
| BLAKE2b-256 |
b361076db4fa1370e705d3f06327e938a6b3117fa0281d15f51b256df8e6ac9f
|