A quick way to run Google's TiDE model
Project description
wavey
Wavey is a simple implementation of the Google TiDE model in the pytorch framework. TiDE takes in both categorical and continuous variables as well as a weight factor to help with time series models that depend on some weight for their ultimate scoring outcome.
InPuts
data: a pandas dataframe embedding_dims: the size/dimensions of the embedding layer (usually the square root of the number of unique values target_size: # of months to forecast out test_size: % of data to test model on random_state: integer for reproducibility
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
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
File details
Details for the file WaveyMcWaveFace-1.5.tar.gz.
File metadata
- Download URL: WaveyMcWaveFace-1.5.tar.gz
- Upload date:
- Size: 6.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
84d6fd89c900af66848a6ed97c53cac22303843f7f2dfef22a060b10bedbf9bf
|
|
| MD5 |
9461621f505389c5a5c04ffb22cd140f
|
|
| BLAKE2b-256 |
15c9b14df72a02560ac6529048defa1fc255b3d5c88135f84eb7d506e9236ee5
|
File details
Details for the file WaveyMcWaveFace-1.5-py3-none-any.whl.
File metadata
- Download URL: WaveyMcWaveFace-1.5-py3-none-any.whl
- Upload date:
- Size: 24.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0320b930c2e96b03ab1d758ee7db236329872d8b18741344d7df6a1adec7e524
|
|
| MD5 |
3664256db41e0c76d61875f527d5a63b
|
|
| BLAKE2b-256 |
b9de4d16518e36e3f5e43dcecfe21519a3724cfb203c253a728dc60acf843152
|
