--- title: Metrics keywords: fastai sidebar: home_sidebar summary: "Metrics." description: "Metrics." nb_path: "nbs/evaluation/evaluation.metrics.ipynb" ---
scores = [{1: 0.2, 2: 0.3, 3: 0.4, 4: 0.5, 9: 0.1},
{1: 0.2, 2: 0.3, 3: 0.4, 4: 0.5, 9: 0.1},
{1: 0.2, 2: 0.3, 3: 0.4, 4: 0.5, 9: 0.1},
{1: 0.2, 2: 0.3, 3: 0.4, 4: 0.5, 9: 0.1},
{1: 0.2, 2: 0.3, 3: 0.4, 4: 0.5, 9: 0.1}]
true = torch.tensor([[1],[1],[2],[3],[4]])
metric = get_eval_metrics(scores, true, k=3)
metric
true = torch.tensor([[4],[4],[4],[4],[4]])
metric = get_eval_metrics(scores, true, k=3)
metric
true = torch.tensor([[9],[1],[9],[1],[1]])
metric = get_eval_metrics(scores, true, k=3)
metric