EEG Phrase Predictor ver 2
Project description
EEG Phase Predictor ver 2
**Note: This is beta version, use for training with default dataset and inference only
Setup
- Requirements: python >= 3.10
- Installing:
pip install eegpp2
Train with default dataset
python -m eegpp2 --mode "train" --model_type <mode_type> --lr <learning_rate> --batch_size <batch_size> --n_epochs <num_epochs> --n_splits <num_folds> --resume_checkpoint <resume_from_checkpoint>
ex: python -m eegpp2 --mode "train" --model_type "stftcnn1dnc" --n_epochs 20 --n_splits 10 --resume_checkpoint False
Inference
python -m eegpp2 --mode "infer" --data_path <path_to_data_file> --infer_path <path_to_saving_file> --model_type <model_type>
ex: python -m eegpp2 --mode "infer" --data_path "./dump_eeg_1.pkl" --infer_path './inference_result.txt" --model_type "stftcnn1dnc"
Model type
- stftcnn1dnc: Multi-channels STFT-CNN
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
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 eegpp2_beta-0.0.8.tar.gz.
File metadata
- Download URL: eegpp2_beta-0.0.8.tar.gz
- Upload date:
- Size: 26.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
107ed429175cab19c2b036ac0ed8f3a206f9fc62164a4d07569996ee0931f544
|
|
| MD5 |
96c51855723471be472e9c7df983f12f
|
|
| BLAKE2b-256 |
05c0b6a4f45d6ac7af2254fe6166c09f9cb784ed203d39797f98397d51fa2158
|
File details
Details for the file eegpp2_beta-0.0.8-py3-none-any.whl.
File metadata
- Download URL: eegpp2_beta-0.0.8-py3-none-any.whl
- Upload date:
- Size: 42.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1e4b3a9972bed889844aee300c2880f2983bc95249ec50dd91f8848e7d3a0a05
|
|
| MD5 |
c850296e2d7a77e10f97b4d9051c6623
|
|
| BLAKE2b-256 |
75e57bba4c9fdea86eb35b50452881ed17262a5f5d1628d446903ba2e24fbf80
|