Index A | B | C | D | E | I | L | M | N | O | P | R | S | T A available_providers() (in module brainmaze_eeg_models.runtime) B brainmaze_eeg_models.runtime module brainmaze_eeg_models.seizure module brainmaze_eeg_models.spindles module C channel (brainmaze_eeg_models.spindles.SpindleDetections attribute) channel_intervals() (brainmaze_eeg_models.spindles.SpindleDetections method) check_gpu() (in module brainmaze_eeg_models.runtime) confidence (brainmaze_eeg_models.spindles.SpindleDetections attribute) D detect() (brainmaze_eeg_models.spindles.SpindleDetector method) device (brainmaze_eeg_models.spindles.SpindleDetector property) device_report() (in module brainmaze_eeg_models.runtime) duration_s (brainmaze_eeg_models.spindles.SpindleDetections attribute) E evaluated_fraction() (brainmaze_eeg_models.spindles.SpindleDetections method) I infer_seizure_probability() (in module brainmaze_eeg_models.seizure) L load_trained_model() (in module brainmaze_eeg_models.seizure) M model (brainmaze_eeg_models.spindles.SpindleDetections attribute) module brainmaze_eeg_models.runtime brainmaze_eeg_models.seizure brainmaze_eeg_models.spindles N n_channels (brainmaze_eeg_models.spindles.SpindleDetections attribute) not_evaluated (brainmaze_eeg_models.spindles.SpindleDetections attribute) O OnnxModel (class in brainmaze_eeg_models.runtime) P predict_channel_seizure_probability() (in module brainmaze_eeg_models.seizure) predict_windows() (brainmaze_eeg_models.spindles.SpindleDetector method) preprocess_input() (in module brainmaze_eeg_models.seizure) providers (brainmaze_eeg_models.runtime.OnnxModel property) R run() (brainmaze_eeg_models.runtime.OnnxModel method) S scalogram() (in module brainmaze_eeg_models.spindles) SpindleDetections (class in brainmaze_eeg_models.spindles) SpindleDetector (class in brainmaze_eeg_models.spindles) T to_array() (brainmaze_eeg_models.spindles.SpindleDetections method) to_dataframe() (brainmaze_eeg_models.spindles.SpindleDetections method)
