vmo - Python Variable Markov Oracle Library
Maintained by the Center for Research in Entertainment and Learning (CREL) @UCSD
Contacts
Cheng-i Wang, chw160@ucsd.edu Shlomo Dubnov, sdubnov@ucsd.edu
About
vmo is a Python library for time series and symbolic sequence analysis/synthesis in the family of software built around the Factor Oracle and Variable Markov Oracle algorithms. One of the main innovations in vmo is using functions related to Information Dynamics to determine oracle structure and query-matching algorithms.
Installation
run
python setup.py install
or
pip install vmo
Friendly Reminder
If the VMO package is used for any research works result in publications, please cite the following paper.
For machine improvisation and sequence generation,
.
Metadata
Release files for vmo 0.30.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| vmo-0.30.5.tar.gz | 36.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| vmo-0.30.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 79.2 kB
Release files / vmo-0.30.5.tar.gz
| Download URL | vmo-0.30.5.tar.gz |
|---|---|
| Size | 36.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c97b7e6bb6b724cdda4b2f2eb2008acda6f824ae654d047502230470576335d6
|
|
BLAKE2b-256 checksum How to use checksums |
377066738a5caa7a16f7aea82f4948049f6b88b0c85236db5550333f3a0fede3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.2
|
Release files / vmo-0.30.5-py3-none-any.whl
| Download URL | vmo-0.30.5-py3-none-any.whl |
|---|---|
| Size | 42.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
61478bff51f458d4a30375e9db3e2636e2e057359e5566ad9a221896b4b24538
|
|
BLAKE2b-256 checksum How to use checksums |
122586fa2f26d717dce6d4e2d59e0ef492a56463b46d9fcd7baa9837c4dfa8d6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.2
|