Exponential smoothing forecast model
Project description
Training and testing an exponential smoothing forecast model for time-series data using statistical learning
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
ExpSmoothing-0.0.1.tar.gz
(5.4 kB
view details)
Built Distribution
File details
Details for the file ExpSmoothing-0.0.1.tar.gz
.
File metadata
- Download URL: ExpSmoothing-0.0.1.tar.gz
- Upload date:
- Size: 5.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b5dadc2a7805ded9899a7c0070a240ed4f24a43b3251a11e5a67ce27703cbe52 |
|
MD5 | ddf1f628dedf68c7b86e66d4b762334c |
|
BLAKE2b-256 | f754e8dffa909932147efbb689bd425db8e82cfc773e380a17e04b84911a2891 |
Provenance
File details
Details for the file ExpSmoothing-0.0.1-py3-none-any.whl
.
File metadata
- Download URL: ExpSmoothing-0.0.1-py3-none-any.whl
- Upload date:
- Size: 4.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7cff5d8a17ca22f4ca34133f216ecd728e640bb8b45e5527cf66fada59536f49 |
|
MD5 | 066fb21d6b36f77661950f8323815e52 |
|
BLAKE2b-256 | ccece65ee9810c8d50f5967eb38ec74ff00caa313321c865b3045e71625c6f4f |