fix: problem type for metric prediction #1468

	# This workflow will install Python dependencies, run tests and lint with a single version of Python
	# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python

	name: Python application

	on:
	push:
	branches: [ "main" ]
	pull_request:
	branches: [ "main" ]

	permissions:
	contents: read

	jobs:
	build:
	runs-on: ubuntu-latest

	steps:
	- uses: actions/checkout@v3

	- name: Set up Python 3.11
	uses: actions/setup-python@v3
	with:
	python-version: "3.11"

	# - name: Install common gcc dependencies
	# run: \|
	# sudo apt update
	# sudo apt install libcppunit-dev cmake -y
	# cmake --version
	#
	# - name: Print gcc version
	# run: \|
	# gcc --version

	# Install uv directly from Astral’s installer
	- name: Install uv
	run: \|
	curl -LsSf https://astral.sh/uv/install.sh \| sh
	echo "$HOME/.local/bin" >> $GITHUB_PATH
	uv --version

	- name: Install dependencies with uv
	run: \|
	# Upgrade build backends first
	uv pip install --system --upgrade setuptools wheel

	# Allow prerelease versions of AutoGluon
	# Install your package in editable/develop mode
	uv pip install --system --prerelease=allow -e ./tabarena

	# Optional tools
	uv pip install --system flake8 pytest

	- name: Test with pytest
	run: \|
	pytest

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