No project description provided
Project description
an interpretable data-driven macroeconomic forecasting method based on N-BEATS neural network
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
ecoforest-0.1.0.tar.gz
(26.7 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
ecoforest-0.1.0-py3-none-any.whl
(38.1 kB
view details)
File details
Details for the file ecoforest-0.1.0.tar.gz.
File metadata
- Download URL: ecoforest-0.1.0.tar.gz
- Upload date:
- Size: 26.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.6.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7b2f0d2350db77345906483f19c9c83b69c871a1c67aff4d403f6c1c51490fda
|
|
| MD5 |
fbe4d7072227f6be8104727a82652261
|
|
| BLAKE2b-256 |
24af0c46ce307cc8867717a8137c99dfdefed69ef7d8054094204cfd7129a7ce
|
File details
Details for the file ecoforest-0.1.0-py3-none-any.whl.
File metadata
- Download URL: ecoforest-0.1.0-py3-none-any.whl
- Upload date:
- Size: 38.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.6.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fec27c31282a47cf56f958753b6c75a4fa25ea6620bf1f459c9b35f851f3569a
|
|
| MD5 |
a5f2f1e96e519c14f559a1c0210a08ba
|
|
| BLAKE2b-256 |
4b1fa1a2c716f254d2f959d4f4759bebbedfb1934bbc684651c3408aaa685914
|