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pyproject.toml
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pyproject.toml
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[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "lightwood"
version = "24.5.2.1"
description = "Lightwood is Legos for Machine Learning."
authors = ["MindsDB Inc."]
license = "GPL-3.0-only"
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<3.12"
type_infer = ">=0.0.15"
dataprep_ml = ">=24.5.1.2,<24.6.1.0"
mindsdb-evaluator = ">=0.0.13"
numpy = ">1.23.0"
nltk = ">=3.8, <3.9"
pandas = ">=2.0.0, <2.1.0"
torch = ">=2.0.0"
requests = ">=2.0.0"
transformers = ">=4.34.0"
optuna = ">=3.1.0,<4.0.0"
scipy = ">=1.5.4"
psutil = ">=5.7.0"
scikit-learn = ">=1.0.0"
dataclasses_json = ">=0.5.4"
dill = "==0.3.6"
sktime = ">=0.25.0,<0.26.0"
statsforecast = "~=1.6.0"
torch_optimizer = "==0.1.0"
black = "==24.3.0"
typing_extensions = ">= 4.8.0"
colorlog = "==6.5.0"
xgboost = ">=1.6.0, <=1.8.0"
tab-transformer-pytorch = ">= 0.2.1"
# dependencies for optional packages
autopep8 = {version = ">=1.5.7", optional = true}
flake8 = {version = ">=6.0.0", optional = true}
librosa = {version = "==0.8.1", optional = true}
lightgbm = {version = ">=4.3.0,<=4.4.0", optional = true}
pystan = {version = "==2.19.1.1", optional = true}
prophet = {version = "==1.1", optional = true}
neuralforecast = {version = ">=1.6.4,<1.7.0", optional = true}
mxnet = {version = ">=1.6.0,<2.0.0", optional = true}
gluonts = {version = ">=0.13.2,<0.14.0", optional = true}
torchvision = {version = ">=0.15.0", optional = true}
pillow = {version = ">=10.3.0", optional = true}
qiskit = {version = "==0.31.0", optional = true}
shap = {version = ">=0.40.0", optional = true}
pyod = {version = "==1.0.4", optional = true}
suod = {version = ">=0.1.3", optional = true}
[tool.poetry.extras]
dev = [
"autopep8",
"flake8",
]
audio = [
"librosa",
]
extra = [
"lightgbm",
]
extra_ts = [
"pystan",
"prophet",
"neuralforecast",
"mxnet",
"gluonts",
]
image = [
"torchvision",
"pillow",
]
quantum = [
"qiskit",
]
xai = [
"shap",
"pyod",
"suod",
]