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added some uv config
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JonasFrey96 committed Feb 26, 2025
1 parent eda39a8 commit 0ead650
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Showing 6 changed files with 343 additions and 18 deletions.
3 changes: 3 additions & 0 deletions .gitignore
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@@ -1,2 +1,5 @@
scripts/wandb/*
scripts/images/*
plr.egg-info/*
2024_home_work/.venv/*
.venv/*
1 change: 1 addition & 0 deletions .python-version
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3.8
6 changes: 6 additions & 0 deletions main.py
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def main():
print("Hello from plr!")


if __name__ == "__main__":
main()
40 changes: 40 additions & 0 deletions pyproject.toml
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[project]
name = "plr"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = ">=3.8"
license = { text = "MIT" }
dependencies = [
"numpy", "torch",
"pytictac",
"pre-commit",
"ruff",
"wandb",
"matplotlib",
"notebook",
]
authors = [{ name = "Jonas Frey", email = "[email protected]" }]
classifiers = [
"Development Status :: 4 - Beta",
"License :: MIT",
"Operating System :: Linux 20.04",
"Programming Language :: Python :: 3.8",
]

[tool.setuptools]
packages = ["plr"]

[tool.black]
line-length = 120
target-version = ['py38']

[tool.ruff]
line-length = 120
target-version = "py38"
select = ["E", "F", "W"] # Enable error, flake8, and warnings
ignore = ["E741", "E501"]

[tool.mypy]
python_version = "3.8"
strict = true
23 changes: 18 additions & 5 deletions scripts/01_regression.ipynb
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Expand Up @@ -35,7 +35,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -49,14 +49,14 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"# Creating a dataset and understanding what we are working with. \n",
"DATASET_SIZE: int = 1000\n",
"\n",
"mode = \"input_high_dim\"\n",
"mode = \"linear\"\n",
"\n",
"if mode == \"linear\":\n",
" INPUT_DIM: int = 1\n",
Expand All @@ -79,9 +79,22 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 8,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 864x360 with 4 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Visualize the dataset\n",
"def visualized(x, y, y_pred, title):\n",
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