Index _ | A | B | C | D | E | F | G | H | I | L | M | N | O | P | R | S | T | U | V _ __call__() (galaxy.data.ShiftAndMirrorPadTransform method) __getitem__() (galaxy.data.ClusterDataset method) __len__() (galaxy.data.ClusterDataset method) _bright_stars (galaxy.data.DatasetsInfo attribute) _clusters (galaxy.data.DatasetsInfo attribute) _expanded_clusters (galaxy.data.DatasetsInfo attribute) _non_clusters (galaxy.data.DatasetsInfo attribute) _read_img() (galaxy.data.ClusterDataset static method) _test_sample (galaxy.data.DatasetsInfo attribute) A ACT_MCMF (galaxy.util.DataSource attribute) AlexNet_VGG (class in galaxy.models.alexnet_vgg) all_models (in module galaxy.main) all_optimizers (in module galaxy.main) apply_shift() (galaxy.data.ShiftAndMirrorPadTransform method) args (in module galaxy.main) B bands (galaxy.grabber.Grabber attribute) bar_progress() (in module galaxy.util) Baseline (class in galaxy.models.baseline) batch_size (galaxy.train.Trainer attribute) BIG (galaxy.segmentation.MapType attribute) bn1 (galaxy.models.baseline.Baseline attribute) bn2 (galaxy.models.baseline.Baseline attribute) bn3 (galaxy.models.baseline.Baseline attribute) bn4 (galaxy.models.baseline.Baseline attribute) BRIGHT_STARS (galaxy.data.DataPart attribute) C cache (galaxy.train.Trainer attribute) cache_states() (galaxy.train.Trainer method) CCOMPRASS (galaxy.util.DataSource attribute) classes (in module galaxy.main) classifier (galaxy.models.alexnet_vgg.AlexNet_VGG attribute) cleanup_memory() (in module galaxy.segmentation) CLUSTER_SMALL (galaxy.segmentation.SampleName attribute) ClusterDataset (class in galaxy.data) collect_sptecs() (in module galaxy.collect_clusters) combine_metrics() (in module galaxy.metrics) compute_all() (galaxy.train.Predictor method) (galaxy.train.Trainer method) conv1 (galaxy.models.baseline.Baseline attribute) conv2 (galaxy.models.baseline.Baseline attribute) conv3 (galaxy.models.baseline.Baseline attribute) conv4 (galaxy.models.baseline.Baseline attribute) create_dataloaders() (in module galaxy.data) create_map_dataloader() (in module galaxy.segmentation) create_sample() (in module galaxy.segmentation) create_segmentation_plot() (in module galaxy.segmentation) create_segmentation_plots() (in module galaxy.segmentation) criterion (galaxy.train.Trainer attribute) (in module galaxy.main) D DataPart (class in galaxy.data) datasets_collection (in module galaxy.data) DatasetsInfo (class in galaxy.data) DataSource (class in galaxy.util) ddos() (in module galaxy.data) description_df (galaxy.data.ClusterDataset attribute) device (galaxy.train.Predictor attribute) (galaxy.train.Trainer attribute) (in module galaxy.main) divide_chunks() (in module galaxy.util) download_data() (in module galaxy.data) download_url() (in module galaxy.grabber) DR5 (galaxy.util.DataSource attribute) dropout (galaxy.models.baseline.Baseline attribute) E expanded_positive_class() (in module galaxy.data) experiment (galaxy.train.Trainer attribute) (in module galaxy.main) extra_processing (galaxy.grabber.Grabber attribute) extra_processing_kwargs (galaxy.grabber.Grabber attribute) F fc (galaxy.models.baseline.Baseline attribute) fc_out (galaxy.models.densenet.SpinalNet_DenseNet attribute) (galaxy.models.effnet.SpinalNet_EfficientNet attribute) (galaxy.models.spinalnet_resnet.SpinalNet_ResNet attribute) (galaxy.models.spinalnet_vgg.SpinalNet_VGG attribute) (galaxy.models.vitL16.Sigm attribute) fc_spinal_layer1 (galaxy.models.densenet.SpinalNet_DenseNet attribute) (galaxy.models.effnet.SpinalNet_EfficientNet attribute) (galaxy.models.spinalnet_resnet.SpinalNet_ResNet attribute) (galaxy.models.spinalnet_vgg.SpinalNet_VGG attribute) fc_spinal_layer2 (galaxy.models.densenet.SpinalNet_DenseNet attribute) (galaxy.models.effnet.SpinalNet_EfficientNet attribute) (galaxy.models.spinalnet_resnet.SpinalNet_ResNet attribute) (galaxy.models.spinalnet_vgg.SpinalNet_VGG attribute) fc_spinal_layer3 (galaxy.models.densenet.SpinalNet_DenseNet attribute) (galaxy.models.effnet.SpinalNet_EfficientNet attribute) (galaxy.models.spinalnet_resnet.SpinalNet_ResNet attribute) (galaxy.models.spinalnet_vgg.SpinalNet_VGG attribute) fc_spinal_layer4 (galaxy.models.densenet.SpinalNet_DenseNet attribute) (galaxy.models.effnet.SpinalNet_EfficientNet attribute) (galaxy.models.spinalnet_resnet.SpinalNet_ResNet attribute) (galaxy.models.spinalnet_vgg.SpinalNet_VGG attribute) filter_candidates() (in module galaxy.data) find_lr() (galaxy.train.Trainer method) fits_to_rgb_image() (in module galaxy.util) forward() (galaxy.models.alexnet_vgg.AlexNet_VGG method) (galaxy.models.baseline.Baseline method) (galaxy.models.densenet.SpinalNet_DenseNet method) (galaxy.models.effnet.SpinalNet_EfficientNet method) (galaxy.models.resnet18.ResNet18 method) (galaxy.models.spinalnet_resnet.SpinalNet_ResNet method) (galaxy.models.spinalnet_vgg.SpinalNet_VGG method) (galaxy.models.vitL16.Sigm method) G GAIA (galaxy.util.DataSource attribute) galaxy module galaxy.collect_clusters module galaxy.collect_not_clusters module galaxy.config module galaxy.data module galaxy.grabber module galaxy.main module galaxy.metrics module galaxy.models module galaxy.models.alexnet_vgg module galaxy.models.baseline module galaxy.models.densenet module galaxy.models.effnet module galaxy.models.resnet18 module galaxy.models.spinalnet_resnet module galaxy.models.spinalnet_vgg module galaxy.models.vitL16 module galaxy.segmentation module galaxy.train module galaxy.util module generate_random_based() (in module galaxy.data) generate_random_candidates() (in module galaxy.data) generate_random_sample() (in module galaxy.data) get_cluster_catalog() (in module galaxy.data) get_negative_class() (in module galaxy.data) get_non_cluster_catalog() (in module galaxy.data) get_positive_class() (in module galaxy.data) global_avg_pool (galaxy.models.baseline.Baseline attribute) global_step (galaxy.train.Trainer attribute) grab_cutout() (galaxy.grabber.Grabber method) grab_cutouts() (galaxy.grabber.Grabber method) grab_surrounding() (in module galaxy.segmentation) Grabber (class in galaxy.grabber) H half_in_size (galaxy.models.densenet.SpinalNet_DenseNet attribute) (galaxy.models.effnet.SpinalNet_EfficientNet attribute) (galaxy.models.spinalnet_resnet.SpinalNet_ResNet attribute) (galaxy.models.spinalnet_vgg.SpinalNet_VGG attribute) history (galaxy.train.Trainer attribute) I images_dir_path (galaxy.data.ClusterDataset attribute) imgsize_arcmin (galaxy.grabber.Grabber attribute) imgsize_pix (galaxy.grabber.Grabber attribute) inherit_columns() (in module galaxy.util) IS_CLUSTER (galaxy.util.IsCluster attribute) IsCluster (class in galaxy.util) L load_bright_stars() (galaxy.data.DatasetsInfo method) load_clusters() (galaxy.data.DatasetsInfo method) load_expanded_clusters() (galaxy.data.DatasetsInfo method) load_model() (in module galaxy.models.alexnet_vgg) (in module galaxy.models.baseline) (in module galaxy.models.densenet) (in module galaxy.models.effnet) (in module galaxy.models.resnet18) (in module galaxy.models.spinalnet_resnet) (in module galaxy.models.spinalnet_vgg) (in module galaxy.models.vitL16) (in module galaxy.segmentation) load_non_clusters() (galaxy.data.DatasetsInfo method) load_test_sample() (galaxy.data.DatasetsInfo method) log_metrics() (galaxy.train.Trainer method) lr (in module galaxy.main) lr_scheduler (galaxy.train.Trainer attribute) lr_scheduler_type (galaxy.train.Trainer attribute) M main_transforms (in module galaxy.data) make_url() (galaxy.grabber.Grabber method) MAP_ACT (galaxy.util.DataSource attribute) MapType (class in galaxy.segmentation) max_shift_x (galaxy.data.ShiftAndMirrorPadTransform attribute) max_shift_y (galaxy.data.ShiftAndMirrorPadTransform attribute) MC (galaxy.data.DataPart attribute) (galaxy.util.DataSource attribute) model (galaxy.train.Predictor attribute) (galaxy.train.Trainer attribute) (in module galaxy.main) model_name (galaxy.train.Trainer attribute) modelPerformance() (in module galaxy.metrics) module galaxy galaxy.collect_clusters galaxy.collect_not_clusters galaxy.config galaxy.data galaxy.grabber galaxy.main galaxy.metrics galaxy.models galaxy.models.alexnet_vgg galaxy.models.baseline galaxy.models.densenet galaxy.models.effnet galaxy.models.resnet18 galaxy.models.spinalnet_resnet galaxy.models.spinalnet_vgg galaxy.models.vitL16 galaxy.segmentation galaxy.train galaxy.util momentum (in module galaxy.main) N NEGATIVE_SMALL (galaxy.segmentation.SampleName attribute) NOT_CLUSTER (galaxy.util.IsCluster attribute) num_epochs (in module galaxy.main) num_ftrs (galaxy.models.alexnet_vgg.AlexNet_VGG attribute) O optimizer (galaxy.train.Trainer attribute) optimizer_name (galaxy.train.Trainer attribute) (in module galaxy.main) optional_columns (in module galaxy.util) P parent_dir (in module galaxy.main) parser (in module galaxy.main) plot_accuracies_by_model() (in module galaxy.metrics) plot_confusion_matrices() (in module galaxy.metrics) plot_loss_by_model() (in module galaxy.metrics) plot_pr_curve() (in module galaxy.metrics) plot_radius (in module galaxy.segmentation) plot_red_shift() (in module galaxy.metrics) plot_roc_curve() (in module galaxy.metrics) post_train_batch() (galaxy.train.Trainer method) post_train_stage() (galaxy.train.Trainer method) post_val_batch() (galaxy.train.Trainer method) post_val_stage() (galaxy.train.Trainer method) predict() (galaxy.train.Predictor method) predict_test() (in module galaxy.segmentation) Predictor (class in galaxy.train) prepare_sample_dataloaders() (in module galaxy.segmentation) probabilities_hist() (in module galaxy.metrics) PSZSPT (galaxy.util.DataSource attribute) R RANDOM (galaxy.util.DataSource attribute) read_act_mcmf() (in module galaxy.collect_clusters) read_comprass() (in module galaxy.collect_clusters) read_dr5() (in module galaxy.collect_clusters) read_gaia() (in module galaxy.collect_not_clusters) read_mc() (in module galaxy.collect_clusters) read_pszspt() (in module galaxy.collect_clusters) read_sga() (in module galaxy.collect_not_clusters) read_spt100() (in module galaxy.collect_clusters) read_spt2500d() (in module galaxy.collect_clusters) read_spt_sz() (in module galaxy.collect_clusters) read_sptecs() (in module galaxy.collect_clusters) read_test_sample() (in module galaxy.collect_clusters) read_tyc2() (in module galaxy.collect_not_clusters) read_upc_sz() (in module galaxy.collect_clusters) read_vizier() (in module galaxy.util) required_columns (in module galaxy.util) required_paths (in module galaxy.config) resnet (galaxy.models.resnet18.ResNet18 attribute) ResNet18 (class in galaxy.models.resnet18) results (in module galaxy.main) rollback_states() (galaxy.train.Trainer method) S sample_sizes (in module galaxy.segmentation) sample_sources (in module galaxy.segmentation) SampleName (class in galaxy.segmentation) save_checkpoint() (galaxy.train.Trainer method) selected_models (in module galaxy.main) settings (in module galaxy.config) SGA (galaxy.util.DataSource attribute) shift_and_mirror_pad() (in module galaxy.data) shift_x (galaxy.data.ShiftAndMirrorPadTransform attribute) shift_y (galaxy.data.ShiftAndMirrorPadTransform attribute) ShiftAndMirrorPadTransform (class in galaxy.data) Sigm (class in galaxy.models.vitL16) SMALL (galaxy.segmentation.MapType attribute) SpinalNet_DenseNet (class in galaxy.models.densenet) SpinalNet_EfficientNet (class in galaxy.models.effnet) SpinalNet_ResNet (class in galaxy.models.spinalnet_resnet) SpinalNet_VGG (class in galaxy.models.spinalnet_vgg) SPT100 (galaxy.util.DataSource attribute) SPT2500D (galaxy.util.DataSource attribute) SPT_SZ (galaxy.util.DataSource attribute) SPTECS (galaxy.util.DataSource attribute) survey_layer (galaxy.grabber.Grabber attribute) T TEST (galaxy.data.DataPart attribute) test() (galaxy.train.Trainer method) test_loader (in module galaxy.main) TEST_SAMPLE (galaxy.data.DataPart attribute) (galaxy.util.DataSource attribute) to_dms_format() (in module galaxy.util) to_hms_format() (in module galaxy.util) TORCHVISION_MEAN (in module galaxy.data) TORCHVISION_STD (in module galaxy.data) TRAIN (galaxy.data.DataPart attribute) train() (galaxy.train.Trainer method) train_dataloader (galaxy.train.Trainer attribute) train_loader (in module galaxy.main) train_table_data (galaxy.train.Trainer attribute) train_val_test_split() (in module galaxy.data) Trainer (class in galaxy.train) transform (galaxy.data.ClusterDataset attribute) TYC2 (galaxy.util.DataSource attribute) TYC2_SMALL (galaxy.segmentation.SampleName attribute) U UPC_SZ (galaxy.util.DataSource attribute) update_bright_stars() (in module galaxy.data) V val_dataloader (galaxy.train.Trainer attribute) val_loader (in module galaxy.main) val_results (in module galaxy.main) val_table_data (galaxy.train.Trainer attribute) VALIDATE (galaxy.data.DataPart attribute)