8f43927575
examples/ is based on KasperskyLab/knp at 55470ed6 with local changes to the mnist-learn altai/blifat models, cuda-backend CMake and model_loader. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
38 lines
1.4 KiB
C++
38 lines
1.4 KiB
C++
/**
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* @file evaluate_results.h
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* @brief Function for evaluating inference results.
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* @kaspersky_support D. Postnikov
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* @date 04.02.2026
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* @license Apache 2.0
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* @copyright © 2026 AO Kaspersky Lab
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#pragma once
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#include <vector>
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#include "dataset.h"
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/**
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* @brief Evaluate inference results and display classification metrics.
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*
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* @details This function processes spike data generated during inference operations, compares the results against ground truth labels
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* from the dataset, and prints detailed classification performance metrics to standard output.
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*
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* @param inference_spikes vector of spike messages generated during inference.
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* @param dataset dataset used for inference.
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*/
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void evaluate_results(const std::vector<knp::core::messaging::SpikeMessage>& inference_spikes, const Dataset& dataset);
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