Added the workflow file for sample data #29

	name: Test
	on:
	- push
	- pull_request
	jobs:
	Test:
	name: Test nn4dms
	runs-on: ${{ matrix.os }}
	continue-on-error: true
	strategy:
	matrix:
	os: [ubuntu-latest]
	steps:
	- name: Checkout repository
	uses: actions/checkout@v2
	- name: Install conda environment
	uses: conda-incubator/setup-miniconda@v2
	with:
	activate-environment: active_learning_dd
	environment-file: conda_cpu_env.yml
	auto-activate-base: false
	miniconda-version: 'latest'
	# Log conda environment contents
	- name: Log conda environment
	shell: bash --login {0}
	run: conda list
	# Activate the installed packages
	- name: Install active_learning_dd package
	shell: bash --login {0}
	run: pip install -e .
	# Tests that the regression training code runs in the conda environment
	- name: Test BT_Clustering
	shell: bash --login {0}
	run: python utils/generate_bt_clustering.py --csv_file_or_dir=datasets/sample_data/training_data/iter_{}.csv --output_dir=datasets/sample_data/training_data --feature_name="Morgan FP_2_1024" --cutoff=0.4 --dist_function=tanimoto_dissimilarity --process_count=2 --index_name="Index ID"
	# Tests that inference notebook can execute in the conda environment
	- name: Test Simulation Runner
	shell: bash --login {0}
	run: python chtc_runners/simulation_runner.py --pipeline_params_json_file=param_configs/sample_data_config.json --nbs_params_json_file=param_configs/ClusterBasedWCSelector_params_reduced.json --exploration_strategy=weighted --iter_max=5 --process_num=0 --batch_size_index=0 --rnd_seed=0 --no-random_param_sampling --precompute_dissimilarity_matrix

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