Add ChunkEvaluator for Multi-batches #6515
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jacquesqiao
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Dec 12, 2017
paddle/operators/chunk_eval_op.cc
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| AddOutput("F1-Score", | ||
| "(float). The evaluated F1-Score on the given mini-batch."); | ||
| AddOutput( | ||
| "NumInferChunks", |
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can NumInferChunks be different with NumLabelChunks?
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Yes, NumInferChunks can be different withNumLabelChunks since they indicate the number of chunks in inference data and labeled data respectively.
jacquesqiao
reviewed
Dec 12, 2017
paddle/operators/chunk_eval_op.cc
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| "NumInferChunks", | ||
| "(int). The number of chunks in Inference on the given mini-batch."); | ||
| AddOutput("NumLabelChunks", | ||
| "(int). The number of chunks in Label on the given mini-batch."); |
jacquesqiao
reviewed
Dec 12, 2017
| precision_val = np.array(outs[1]) | ||
| recall_val = np.array(outs[2]) | ||
| f1_score_val = np.array(outs[3]) | ||
| precision_val = np.array(precision) |
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我看到evaluator.eval已经return的是np.array了，这里为啥还要加一层？
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Done. 参照图像分类示例中的输出，去掉了np.array.
… add-multiBatch-chunkEval
… add-multiBatch-chunkEval
… add-multiBatch-chunkEval-dev
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resolve #6513