pad variable length sequences with multiples features
Project description
pad-sequences
Pad variable length sequences with multiples features.
Installation via pip
The pad-sequences
git repo
is available as PyPi package
pip install "pad-sequences>=0.3.0"
Usage
from pad_sequences import pad_sequences_multi
import tensorflow as tf
# import torch
seq = []
seq.append([[1, 1, 1], [2, 2, 2]])
seq.append([[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]])
n_samples = len(seq)
n_features = len(seq[0][0])
n_timesteps = 3
# for input sequences
padded = pad_sequences_multi(seq, padding='pre', value=0,
truncating='pre', maxlen=n_timesteps)
# for output sequences
# padded = pad_sequences_multi(seq, padding='post', value=0,
# truncating='post', maxlen=n_timesteps)
X = tf.reshape(padded, [n_samples, n_timesteps, n_features])
# X = torch.reshape(torch.tensor(padded), [n_samples, n_timesteps, n_features])
Check the examples folder for notebooks.
Commands
Install a virtual environment
python3 -m venv .venv
source .venv/bin/activate
pip3 install --upgrade pip
pip3 install -r requirements-dev.txt
pip3 install -r requirements-demo.txt
(If your git repo is stored in a folder with whitespaces, then don't use the subfolder .venv
. Use an absolute path without whitespaces.)
Other python commands
- Jupyter for the examples:
jupyter lab
- Check syntax:
flake8 --ignore=F401 --exclude=$(grep -v '^#' .gitignore | xargs | sed -e 's/ /,/g')
- Run Unit Tests:
pytest
- Upload to PyPi with twine:
python setup.py sdist && twine upload -r pypi dist/*
(requirestwine
)
Clean up
find . -type f -name "*.pyc" | xargs rm
find . -type d -name "__pycache__" | xargs rm -r
rm -r .pytest_cache
rm -r .venv
Debugging
- Notebooks to profile python code are in the profile folder
Project details
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Source Distribution
pad-sequences-0.4.0.tar.gz
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