calculate the evaluation index layer of CP/CR/CF1/OP/OR/OF1 of top3

[mymuli]

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If I want to calculate the evaluation index layer of CP/CR/CF1/OP/OR/OF1 of top3, https://github.com/hellowangqian/multi-label-image-classification/blob/1d9ef29d798f71e3b8d4c84c026017b6c1ce2695/MSCOCO/evaluation_metrics.py#L39 what is the value of the function parameter? Y_pred is a real number between 0 and 1? Y_true values between {0,1}? Or something else?

[hellowangqian]

Y_pred do not have to be in the range of [0,1], you only need the ranking of different labels to be correct regardless of the absolute values. Y_true is 0 ( negative) or 1 (positive) for nus and mscoco datasets, and -1 (negative), 0 (ambiguous), 1 (positive) for voc2007 dataset, that's why you need to calculate these metrics in a slightly different way.

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From: Rmuli [email protected] Sent: 27 September 2019 1:06 To: hellowangqian/multi-label-image-classification [email protected] Cc: Subscribed [email protected] Subject: [hellowangqian/multi-label-image-classification] calculate the evaluation index layer of CP/CR/CF1/OP/OR/OF1 of top3 (#2)

If I want to calculate the evaluation index layer of CP/CR/CF1/OP/OR/OF1 of top3, https://github.com/hellowangqian/multi-label-image-classification/blob/1d9ef29d798f71e3b8d4c84c026017b6c1ce2695/MSCOCO/evaluation_metrics.py#L39 what is the value of the function parameter? Y_pred is a real number between 0 and 1? Y_true values between {0,1}? Or something else?

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