Develops sequence to sequence control oriented neural networks in a highly modular way.
Project description
pymodconn
pymodconn = A Python library for developing modular sequence to sequence control oriented neural networks
Instructions
- Install:
pip install pymodconn
- Usage: Download congifuration file from tests_usage\ in the github repository https://github.com/gaurav306/pymodconn
from pymodconn.configs_init import get_configs
from pymodconn.model_gen import ModelClass
configs = get_configs('config_model.yaml')
model_class = ModelClass(configs_data, time_dt)
model_class.build_model()
print('model_class.model.inputs: ',model_class.model.inputs)
print('model_class.model.outputs: ',model_class.model.outputs)
Credits
packaging instructions from https://towardsdatascience.com/how-to-package-your-python-code-df5a7739ab2e
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pymodconn-0.0.4.tar.gz
(11.5 kB
view details)
Built Distribution
pymodconn-0.0.4-py3-none-any.whl
(13.2 kB
view details)
File details
Details for the file pymodconn-0.0.4.tar.gz
.
File metadata
- Download URL: pymodconn-0.0.4.tar.gz
- Upload date:
- Size: 11.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 |
538c2a61690590f0e0ae5b0806f5d6617447bf1fef7772990e1975801e24b399
|
|
MD5 |
1b1ba8585809ea43eac3ab65c7042a03
|
|
BLAKE2b-256 |
40bdf5b545bf83d6281248982f47b39f8317155ec235f0900e49289daa316197
|
File details
Details for the file pymodconn-0.0.4-py3-none-any.whl
.
File metadata
- Download URL: pymodconn-0.0.4-py3-none-any.whl
- Upload date:
- Size: 13.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 |
3be93aba75d97af039de8c207190ed860a2aeca37656bc27d684cc3265936800
|
|
MD5 |
9aec5644dbb6f7fd60bcb1a5c93d2455
|
|
BLAKE2b-256 |
1ab1197180099bec5ee1a058faa7d5cfbfae2fedf9614dea75a5c4c9fbf6bcc7
|