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DL4Phylo

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0.0.3 DL4Phylo-0.0.3-py3-none-any.whl

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Project: DL4Phylo
Version: 0.0.3
Filename: DL4Phylo-0.0.3-py3-none-any.whl
Download: [link]
Size: 34534
MD5: a983c8a0ca3ac53f4245a5ef36287e42
SHA256: 15d2bc895c5b8ec654d48da59a904b18074dfbbd5b9d82d6e8e3ff1d304a8fb5
Uploaded: 2024-07-13 15:36:48 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: DL4Phylo
Version: 0.0.3
Summary: Deep Learning techniques applied to Phylogenetic Analysis
Author: Miguel Raposo, Gonçalo Silva
Home-Page: https://github.com/phyloLearn/DL4Phylo
License: CeCILL
Requires-Python: >=3.9, <3.13
Requires-Dist: torch (>=1.13.1)
Requires-Dist: scipy (>=1.7.3)
Requires-Dist: numpy (<2.0.0,>=1.21.2)
Requires-Dist: ete3 (>=3.1.2)
Requires-Dist: biopython (>=1.79)
Requires-Dist: dendropy (>=4.5.2)
Requires-Dist: scikit-bio (>=0.5.6)
Requires-Dist: scikit-learn (>=1.4.2)
Requires-Dist: tqdm (>=4.65.0)
Requires-Dist: wandb (>=0.17.3)
Requires-Dist: twine (!=5.1.0,>=4.0.2); extra == "dev"
Provides-Extra: dev
Description-Content-Type: text/markdown
[Description omitted; length: 11803 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (70.2.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
dl4phylo/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
dl4phylo/attentions.py sha256=flIsqGXXl9tyQ3StWMgPZUMXODxRmobFm9FNyVwNEK0 1428
dl4phylo/data.py sha256=eaqaLC2E4QHRFdEiQNDnmPCnTW-059Dc8dLGa4ltFOs 11053
dl4phylo/metrics.py sha256=TXG3aO8D2FZuoNlNDuUAvndJ8lr3GnxE0TJdEYTrIfk 1310
dl4phylo/model.py sha256=byQohZX9-DgmSRpjUjZ77kLeaYd8KfZ__1YKYBgn90w 15162
dl4phylo/training.py sha256=NYydZBUPr_60Au4e9GBj3_k6Ly8LarRapKCM_kSlbMw 13541
dl4phylo/utils.py sha256=irbqipiagZDQZTAP0zptRekzxZnQuRKuStmLimnzFHI 1061
dl4phylo/scripts/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
dl4phylo/scripts/alignment_trimmer.py sha256=Pwov7eWhLrrhKyqwMmtupzI27Kwl5SKbZDq6cJ_s5W8 3087
dl4phylo/scripts/evaluate.py sha256=96wRa6GqiwlZG5VBwc83ZCH3pwJ9xQtAeXcbwZQu40g 1001
dl4phylo/scripts/make_tensors.py sha256=FTvu6YtAoGBPjJTSWF2NM--qdfzR3tyeD1uaw90G_BM 2195
dl4phylo/scripts/predict.py sha256=jJLpJRjdJgL2pwHkdaSNPzy2aTfRTrhPnMyq1ZZhBUE 3930
dl4phylo/scripts/predict_true_trees.py sha256=S2-xSEuaZQtd4iU5-1yxXO9GifJOz6hga0QzLGuTh6Q 3114
dl4phylo/scripts/simulate_dataset_SeqGen.py sha256=_pPzk_dEdNhElq1GRezBlf21MlXa9sxyEDmjJr8lEsc 5752
dl4phylo/scripts/simulate_dataset_SimBac.py sha256=YY2RjONIg9hJlAXuImphsRTIa1UxbjV8JqrCbSdOnHo 2999
dl4phylo/scripts/simulate_typing_data.py sha256=pWQJl95xIFCGWRVy9h0Mlx9SGgCb6DHt8X1ga8LX8-I 3786
dl4phylo/scripts/train_tensorboard.py sha256=_LhHG12UQeLO3T89LfM8MgwkU3n0jlOx_yx5mWqJYH4 6911
dl4phylo/scripts/train_wandb.py sha256=8cfzx2ac90EgdOFwQf0l4nzu8F0gTrYqBpDiVD25UE8 11519
DL4Phylo-0.0.3.dist-info/METADATA sha256=1XeHhldHtpJeFt3auqmsu-Qt8Gz0QVZj6ovMO2DvZiU 12751
DL4Phylo-0.0.3.dist-info/WHEEL sha256=y4mX-SOX4fYIkonsAGA5N0Oy-8_gI4FXw5HNI1xqvWg 91
DL4Phylo-0.0.3.dist-info/entry_points.txt sha256=ZwCCcLsfQoJUwVcTOkwYBNKz15nWznGA3vjqhFiEH28 590
DL4Phylo-0.0.3.dist-info/top_level.txt sha256=k_ab_dhA3C_vbEtdMd0JVo5Ufq47hFkv7Mz0YK9YYJk 9
DL4Phylo-0.0.3.dist-info/RECORD — —

top_level.txt

dl4phylo

entry_points.txt

[console_scripts]
alignment_trimmer = dl4phylo.scripts.alignment_trimmer:main
evaluate = dl4phylo.scripts.evaluate:main
make_tensors = dl4phylo.scripts.make_tensors:main
predict = dl4phylo.scripts.predict:main
predict_true_trees = dl4phylo.scripts.predict_true_trees:main
simulate_dataset_SeqGen = dl4phylo.scripts.simulate_dataset_SeqGen:main
simulate_dataset_SimBac = dl4phylo.scripts.simulate_dataset_SimBac:main
simulate_typing_data = dl4phylo.scripts.simulate_typing_data:main
train_tensorboard = dl4phylo.scripts.train_tensorboard:main
train_wandb = dl4phylo.scripts.train_wandb:main