lgb_train = lgb.Dataset(x_train, y_train, free_raw_data = False) lgb_valid = lgb.Dataset(x_valid, y_valid, reference=lgb_train,free_raw_data=False) # 设置初始参数 params = { "boosting_type":"gbdt", "objective":"regression", "metric":"mae", "nthread":4, "learning_rate":0.1...
A detailed description of the dataset can be found [here](https://zenodo.org/records/14622048), where it can also be downloaded. Below are examples of the OpenEarthMap-SAR dataset. The dataset for the Track 1 challenge is OpenEarthMap-SAR. The [OpenEarthMap-SAR](https://zenodo.org/...
dataset_sizes = {x: len(image_datasets[x]) for x in ['train', 'val']} class_names = image_datasets['train'].classes use_gpu = torch.cuda.is_available() since = time.time() inputs, classes = next(iter(dataloaders['train'])) print(time.time()-since) ### # Trainin...
starting from a point cloud dataset. The methodology improves on the current benchmarks by providing larger 3D registration parameter variability, and more informative evaluations. We indicate the methodology steps by creating a novel FAUST-partial bench...
lot of manpower. However, uncontrolled conditions are common in real world. A truly reliable LPDR system should function well in these cases. To aid in better benchmarking LPDR approaches, we present our Chinese City Parking Dataset(CCPD).CCPD collects data from roadside parking in all the stre...
Modern public datasets used in network threat research often include high level flow summaries and metadata, but rarely include payload content in these summaries (notably, the UNB 2012 intrusion dataset did include some payload information encoded in Base 64; however, subsequent updates did not, due...
(https://github.com/NeuroBench/neurobench/tree/main/examples/) In general, the design flow for using the framework is as follows: Train a network using the train split from a particular dataset. Wrap the network in a NeuroBenchModel. Pass the model, evaluation split dataloader, pre-/post-...
Modern public datasets used in network threat research often include high level flow summaries and metadata, but rarely include payload content in these summaries (notably, the UNB 2012 intrusion dataset did include some payload information encoded in Base 64; however, subsequent updates did not, due...
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