
# python scripts/main.py \
#     --model_dir models/synthetic_low_rank/high_signal_train/ \
#     --visualize \
#     --test_noise_level=0 \
#     --gibbs_iterations 100 \
#     --rho_scheduling_type linear \
#     --rho_start 10.0 \
#     --rho_end .5 \
#     --initial_x measurement \
#     --result_dir results/synthetic_low_rank/multivariate_noise/ \
#     --test_on test \
#     --repeated_sampling_factor 10 \
#     --repeated_sampling_method mean \
#     --save_data \
#     --visualization_method python_umap \
#     --checkpoints_to_keep 1000 \
#     --overwrite_data_load_path data/synthetic_low_rank/15pca_latent_multivariate_noise.json

# python scripts/main.py \
#     --model_dir models/synthetic_low_rank/high_signal_train/ \
#     --visualize \
#     --test_noise_level=0 \
#     --gibbs_iterations 100 \
#     --rho_scheduling_type linear \
#     --rho_start 10.0 \
#     --rho_end .5 \
#     --initial_x measurement \
#     --result_dir results/synthetic_low_rank/t_mixture/ \
#     --test_on test \
#     --repeated_sampling_factor 10 \
#     --repeated_sampling_method mean \
#     --save_data \
#     --visualization_method python_umap \
#     --checkpoints_to_keep 1000 \
#     --overwrite_data_load_path data/synthetic_low_rank/15pca_latent_t_mixture.json

python scripts/main.py \
    --model_dir models/synthetic_low_rank/high_signal_train/ \
    --visualize \
    --test_noise_level=0 \
    --gibbs_iterations 100 \
    --rho_scheduling_type linear \
    --rho_start 10.0 \
    --rho_end .5 \
    --initial_x measurement \
    --result_dir results/synthetic_low_rank/interpolated_100_05/ \
    --test_on test \
    --repeated_sampling_factor 500 \
    --repeated_sampling_method none \
    --save_data \
    --visualization_method python_umap \
    --checkpoints_to_keep 1000 \
    --overwrite_data_load_path data/synthetic_low_rank/15pca_interpolated.json

python scripts/main.py \
    --model_dir models/synthetic_low_rank/high_signal_train/ \
    --visualize \
    --test_noise_level=0 \
    --gibbs_iterations 100 \
    --rho_scheduling_type linear \
    --rho_start 5.0 \
    --rho_end .5 \
    --initial_x measurement \
    --result_dir results/synthetic_low_rank/interpolated_50_05/ \
    --test_on test \
    --repeated_sampling_factor 500 \
    --repeated_sampling_method none \
    --save_data \
    --visualization_method python_umap \
    --checkpoints_to_keep 1000 \
    --overwrite_data_load_path data/synthetic_low_rank/15pca_interpolated.json


python scripts/main.py \
    --model_dir models/synthetic_low_rank/high_signal_train/ \
    --visualize \
    --test_noise_level=0 \
    --gibbs_iterations 100 \
    --rho_scheduling_type linear \
    --rho_start .5 \
    --rho_end .5 \
    --initial_x measurement \
    --result_dir results/synthetic_low_rank/interpolated_05_05/ \
    --test_on test \
    --repeated_sampling_factor 500 \
    --repeated_sampling_method none \
    --save_data \
    --visualization_method python_umap \
    --checkpoints_to_keep 1000 \
    --overwrite_data_load_path data/synthetic_low_rank/15pca_interpolated.json

python scripts/main.py \
    --model_dir models/synthetic_low_rank/high_signal_train/ \
    --visualize \
    --test_noise_level=0 \
    --gibbs_iterations 100 \
    --rho_scheduling_type linear \
    --rho_start .1 \
    --rho_end .1 \
    --initial_x measurement \
    --result_dir results/synthetic_low_rank/interpolated_01_01/ \
    --test_on test \
    --repeated_sampling_factor 500 \
    --repeated_sampling_method none \
    --save_data \
    --visualization_method python_umap \
    --checkpoints_to_keep 1000 \
    --overwrite_data_load_path data/synthetic_low_rank/15pca_interpolated.json