Results for “task-classification”
9 skillsauroc
Computes the AUROC metric using torchmetrics, handling binary, multiclass, and multilabel tasks with configurable thresholds and averaging.
3
logauc
Computes the LogAUC metric using the torchmetrics implementation for binary, multiclass, or multilabel classification tasks.
3
aeon
Performs time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search using the aeon toolkit.
3 · bundle
More results
eer
Compute the Equal Error Rate (EER) metric using torchmetrics for binary, multiclass, or multilabel classification tasks, with reference signatures and usage examples.
3
tao-train-pose-classification
Train, evaluate, export, and run inference for pose classification models using ST-GCN on skeleton keypoint sequences.
2.2k · bundle
aeon
Runs time series machine learning tasks—classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search—using the scikit-learn compatible aeon toolkit.
253 · bundle
aeon
Perform time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search using a scikit-learn compatible Python toolkit.
30.2k · bundle
recall
Computes the Recall metric using torchmetrics, including configuration for binary, multiclass, and multilabel tasks.
3
roc
Computes the Receiver Operating Characteristic (ROC) metric using torchmetrics, supporting binary, multiclass, and multilabel tasks.
3