8.1.1.6.1.2. blueoil.metrics.metrics
¶
8.1.1.6.1.2.1. Module Contents¶
8.1.1.6.1.2.1.1. Functions¶
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Calculate True Positive, True Negative, False Positive, False Negative. |
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Calculate True Positive, True Negative, False Positive, False Negative. |
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blueoil.metrics.metrics.
tp_tn_fp_fn_for_each
(output, labels, threshold=0.5)¶ Calculate True Positive, True Negative, False Positive, False Negative.
- Parameters
output – network output sigmoided tensor. shape is [batch_size, num_class]
labels – multi label encoded bool tensor. shape is [batch_size, num_class]
threshold – python float
- Returns
shape is [4(tp, tn, fp, fn), num_class]
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blueoil.metrics.metrics.
tp_tn_fp_fn
(output, labels, threshold=0.5)¶ Calculate True Positive, True Negative, False Positive, False Negative.
- Parameters
output – network output sigmoided tensor. shape is [batch_size, num_class]
labels – multi label encoded bool tensor. shape is [batch_size, num_class]
threshold – python float