As you can see, I tested with provided datasets and with 8 methods:
models <- infer_trajectories(dataset, list(ti_comp1(), ti_mst(), ti_cellrouter(), ti_paga(), ti_paga_tree(), ti_monocle_ica(), ti_slingshot(), ti_dpt()))
But the output metrics ('rf_mse' and 'lm_mse') are always identical...
And most of other metrics are not obtained (all 0s).
Do you know what happened?
Hi @rcannood,
I followed instructions to evaluate available methods at https://dynverse.org/developers/evaluating-ti-method/
As you can see, I tested with provided datasets and with 8 methods: models <- infer_trajectories(dataset, list(ti_comp1(), ti_mst(), ti_cellrouter(), ti_paga(), ti_paga_tree(), ti_monocle_ica(), ti_slingshot(), ti_dpt()))
But the output metrics ('rf_mse' and 'lm_mse') are always identical... And most of other metrics are not obtained (all 0s). Do you know what happened?