| Project |
RefactoringType |
RefactoringLink |
CommitLink |
TrueRefactoring? |
Description |
File |
| google/tangent |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter array : Any to x : Any in method package aunbroadcast(y Any, x Any, shape Any) : void from class org.tangent.grads.PyDummyClass1 |
tangent/grads.py |
| lene/nn-wtf |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter image : Any to images : Any in method package _run_prediction_op(self Predictor, images Any, session Any) : void from class org.nn_wtf.predictor.Predictor |
nn_wtf/predictor.py |
| tensorflow/ranking |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter mask : Any to list_mask : Any in method package call(self FlattenList, context_features Any, example_features Any, list_mask Any) : void from class org.tensorflow_ranking.python.keras.layers.FlattenList |
tensorflow_ranking/python/keras/layers.py |
| tensorflow/ranking |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter mask : Any to list_mask : Any in method package call(self RestoreList, flattened_logits Any, list_mask Any) : void from class org.tensorflow_ranking.python.keras.layers.RestoreList |
tensorflow_ranking/python/keras/layers.py |
| tensorflow/ranking |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter mask : Any to list_mask : Any in method package call(self ConcatFeatures, context_features Any, example_features Any, list_mask Any) : void from class org.tensorflow_ranking.python.keras.layers.ConcatFeatures |
tensorflow_ranking/python/keras/layers.py |
| tensorflow/ranking |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter mask : Any to list_mask : Any in method package call(self DocumentInteractionAttention, inputs Any, training Any, list_mask Any) : void from class org.tensorflow_ranking.python.keras.layers.DocumentInteractionAttention |
tensorflow_ranking/python/keras/layers.py |
| minimaxir/textgenrnn |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter prop_keep : Any to train_size : Any in method package train_on_texts(self textgenrnn, texts Any, context_labels Any, batch_size Any, num_epochs Any, verbose Any, new_model Any, gen_epochs Any, train_size Any, max_gen_length Any) : void from class org.textgenrnn.textgenrnn.textgenrnn |
textgenrnn/textgenrnn.py |
| raghakot/keras-vis |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter input_value : Any to input_array : Any in method package _compute_grads(model Any, input_array Any) : void from class org.tests.vis.backend.test_backend.PyDummyClass1 |
tests/vis/backend/test_backend.py |
| Picovoice/porcupine |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter header_file_paths : Any to header_file_folders : Any in method package generate_pv_params(ppn_files Any, header_file_folders Any) : void from class org.demo.mcu.generate_pv_params_file.PyDummyClass1 |
demo/mcu/generate_pv_params_file.py |
| Picovoice/porcupine |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter sensitivity : Any to sensitivities : Any in method package __init__(self PorcupineDemo, library_path Any, model_file_path Any, keyword_file_paths Any, sensitivities Any, input_device_index Any, output_path Any) : void from class org.demo.python.porcupine_demo.PorcupineDemo |
demo/python/porcupine_demo.py |
| tsurumeso/waifu2x-chainer |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter gy : Any to grad_outputs : Any in method package backward(self ClippedWeightedHuberLoss, inputs Any, grad_outputs Any) : void from class org.lib.loss.clipped_weighted_huber_loss.ClippedWeightedHuberLoss |
lib/loss/clipped_weighted_huber_loss.py |
| tsurumeso/waifu2x-chainer |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter args : Any to cfg : Any in method package load_models(cfg Any) : void from class org.waifu2x.PyDummyClass1 |
waifu2x.py |
| tsurumeso/waifu2x-chainer |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter scale : Any to upsampling : Any in method package image_tta(src Any, model Any, upsampling Any, tta_level Any, block_size Any, batch_size Any) : void from class org.lib.reconstruct.PyDummyClass1 |
lib/reconstruct.py |
| tsurumeso/waifu2x-chainer |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter scale : Any to upsampling : Any in method package image(src Any, model Any, upsampling Any, block_size Any, batch_size Any) : void from class org.lib.reconstruct.PyDummyClass1 |
lib/reconstruct.py |
| tsurumeso/waifu2x-chainer |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter out_queue : Any to name_queue : Any in method package _worker(datalist Any, name_queue Any, cfg Any, finalized Any) : void from class org.lib.dataset_sampler.PyDummyClass1 |
lib/dataset_sampler.py |
| tsurumeso/waifu2x-chainer |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter chroma : Any to p : Any in method package _noise(src Any, p Any, level Any) : void from class org.lib.pairwise_transform.PyDummyClass1 |
lib/pairwise_transform.py |
| tsurumeso/waifu2x-chainer |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter downsampling_filters : Any to filters : Any in method package scale(src Any, filters Any, bmin Any, bmax Any) : void from class org.lib.pairwise_transform.PyDummyClass1 |
lib/pairwise_transform.py |
| tsurumeso/waifu2x-chainer |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter rate : Any to p : Any in method package noise(src Any, p Any, p_chroma Any, level Any) : void from class org.lib.pairwise_transform.PyDummyClass1 |
lib/pairwise_transform.py |
| tsurumeso/waifu2x-chainer |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter downsampling_filters : Any to filters : Any in method package noise_scale(src Any, filters Any, bmin Any, bmax Any, p Any, p_chroma Any, level Any) : void from class org.lib.pairwise_transform.PyDummyClass1 |
lib/pairwise_transform.py |
| tsurumeso/waifu2x-chainer |
Rename Parameter |
RefactoringLink | CommitLink | No |
Rename Parameter model : Any to src : Any in method package scale(src Any, model Any, block_size Any, batch_size Any) : void from class org.lib.reconstruct.PyDummyClass1 |
lib/reconstruct.py |
| tsurumeso/waifu2x-chainer |
Rename Parameter |
RefactoringLink | CommitLink | No |
Rename Parameter src : Any to model : Any in method package scale(src Any, model Any, block_size Any, batch_size Any) : void from class org.lib.reconstruct.PyDummyClass1 |
lib/reconstruct.py |
| tsurumeso/waifu2x-chainer |
Rename Parameter |
RefactoringLink | CommitLink | No |
Rename Parameter model : Any to src : Any in method package noise(src Any, model Any, block_size Any, batch_size Any) : void from class org.lib.reconstruct.PyDummyClass1 |
lib/reconstruct.py |
| tsurumeso/waifu2x-chainer |
Rename Parameter |
RefactoringLink | CommitLink | No |
Rename Parameter src : Any to model : Any in method package noise(src Any, model Any, block_size Any, batch_size Any) : void from class org.lib.reconstruct.PyDummyClass1 |
lib/reconstruct.py |
| asappresearch/sru |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter post_ln : Any to normalize_after : Any in method package __init__(self SRUCell, input_size Any, hidden_size Any, dropout Any, rnn_dropout Any, bidirectional Any, n_proj Any, use_tanh Any, highway_bias Any, has_skip_term Any, layer_norm Any, rescale Any, v1 Any, custom_m Any, amp_recurrence_fp16 Any, normalize_after Any) : void from class org.sru.modules.SRUCell |
sru/modules.py |
| asappresearch/sru |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter post_ln : Any to normalize_after : Any in method package __init__(self SRU, input_size Any, hidden_size Any, num_layers Any, dropout Any, rnn_dropout Any, bidirectional Any, projection_size Any, use_tanh Any, layer_norm Any, highway_bias Any, has_skip_term Any, rescale Any, v1 Any, nn_rnn_compatible_return Any, custom_m Any, proj_input_to_hidden_first Any, amp_recurrence_fp16 Any, normalize_after Any) : void from class org.sru.modules.SRU |
sru/modules.py |
| asappresearch/sru |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter custom_u : Any to custom_m : Any in method package __init__(self SRUCell, input_size Any, hidden_size Any, dropout Any, rnn_dropout Any, bidirectional Any, n_proj Any, use_tanh Any, highway_bias Any, has_skip_term Any, layer_norm Any, rescale Any, v1 Any, custom_m Any) : void from class org.sru.sru_functional.SRUCell |
sru/sru_functional.py |
| asappresearch/sru |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter custom_u : Any to custom_m : Any in method package __init__(self SRU, input_size Any, hidden_size Any, num_layers Any, dropout Any, rnn_dropout Any, bidirectional Any, projection_size Any, use_tanh Any, layer_norm Any, highway_bias Any, has_skip_term Any, rescale Any, v1 Any, nn_rnn_compatible_return Any, custom_m Any, proj_input_to_hidden_first Any) : void from class org.sru.sru_functional.SRU |
sru/sru_functional.py |
| asappresearch/sru |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter n_in : Any to input_size : Any in method package __init__(self SRUCell, input_size Any, hidden_size Any, dropout Any, rnn_dropout Any, bidirectional Any, n_proj Any, use_tanh Any, highway_bias Any, has_skip_term Any, layer_norm Any, rescale Any, v1 Any) : void from class org.sru.sru_functional.SRUCell |
sru/sru_functional.py |
| asappresearch/sru |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter n_in : Any to input_size : Any in method package __init__(self SRUCell, input_size Any, hidden_size Any, dropout Any, rnn_dropout Any, bidirectional Any, n_proj Any, use_tanh Any, highway_bias Any, has_skip_term Any, layer_norm Any, rescale Any, v1 Any) : void from class org.sru.sru_functional.SRUCell |
sru/sru_functional.py |
| Hironsan/anago |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter unk : Any to unk_token : Any in method package __init__(self Vocabulary, max_size Any, lower Any, unk_token Any, specials Any) : void from class org.anago.utils.Vocabulary |
anago/utils.py |
| Hironsan/anago |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter eary_stopping : Any to early_stopping : Any in method package get_callbacks(log_dir Any, valid Any, checkpoint_dir Any, early_stopping Any) : void from class org.anago.callbacks.PyDummyClass1 |
anago/callbacks.py |
| Hironsan/anago |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter filepath : Any to file_path : Any in method package save_weights(self BaseModel, file_path Any) : void from class org.anago.models.BaseModel |
anago/models.py |
| Hironsan/anago |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter tensorboard : Any to checkpoint_dir : Any in method package get_callbacks(log_dir Any, valid Any, checkpoint_dir Any, eary_stopping Any) : void from class org.anago.callbacks.PyDummyClass1 |
anago/callbacks.py |
| Hironsan/anago |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter sent : Any to words : Any in method package _build_response(self Tagger, words Any, tags Any, prob Any) : void from class org.anago.tagger.Tagger |
anago/tagger.py |
| Hironsan/anago |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter sent : Any to words : Any in method package analyze(self Tagger, words Any) : void from class org.anago.tagger.Tagger |
anago/tagger.py |
| Hironsan/anago |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter sent : Any to words : Any in method package tag(self Tagger, words Any) : void from class org.anago.tagger.Tagger |
anago/tagger.py |
| Hironsan/anago |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter sent : Any to words : Any in method package get_entities(self Tagger, words Any) : void from class org.anago.tagger.Tagger |
anago/tagger.py |
| Hironsan/anago |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter sent : Any to words : Any in method package analyze(self Sequence, words Any) : void from class org.anago.wrapper.Sequence |
anago/wrapper.py |
| Hironsan/anago |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter model_config : Any to model : Any in method package __init__(self Trainer, model Any, training_config Any, checkpoint_path Any, save_path Any, tensorboard Any, preprocessor Any, embeddings Any) : void from class org.anago.trainer.Trainer |
anago/trainer.py |
| Hironsan/anago |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter index2chunk : Any to entity_to_id : Any in method package report(y_true Any, y_pred Any, entity_to_id Any) : void from class org.anago.data.metrics.PyDummyClass1 |
anago/data/metrics.py |
| Hironsan/anago |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter file_or_dir : Any to path : Any in method package reader(path Any) : void from class org.anago.data.reader.PyDummyClass1 |
anago/data/reader.py |
| maciejkula/spotlight |
Rename Parameter |
RefactoringLink | CommitLink | No |
Rename Parameter data_implicit_sequence : Any to data_implicit_factorization : Any in method package test_precision_recall(data_implicit_factorization Any, k Any) : void from class org.tests.test_evaluation_metrics.PyDummyClass1 |
tests/test_evaluation_metrics.py |
| maciejkula/spotlight |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter data : Any to data_implicit_factorization : Any in method package test_precision_recall(data_implicit_factorization Any, k Any) : void from class org.tests.test_evaluation_metrics.PyDummyClass1 |
tests/test_evaluation_metrics.py |
| maciejkula/spotlight |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter optimizer : Any to optimizer_func : Any in method package __init__(self ExplicitFactorizationModel, loss Any, embedding_dim Any, n_iter Any, batch_size Any, l2 Any, learning_rate Any, optimizer_func Any, use_cuda Any, sparse Any, random_state Any) : void from class org.spotlight.factorization.explicit.ExplicitFactorizationModel |
spotlight/factorization/explicit.py |
| maciejkula/spotlight |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter optimizer : Any to optimizer_func : Any in method package __init__(self ImplicitFactorizationModel, loss Any, embedding_dim Any, n_iter Any, batch_size Any, l2 Any, learning_rate Any, optimizer_func Any, use_cuda Any, sparse Any, random_state Any) : void from class org.spotlight.factorization.implicit.ImplicitFactorizationModel |
spotlight/factorization/implicit.py |
| maciejkula/spotlight |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter optimizer : Any to optimizer_func : Any in method package __init__(self ImplicitSequenceModel, loss Any, representation Any, embedding_dim Any, n_iter Any, batch_size Any, l2 Any, learning_rate Any, optimizer_func Any, use_cuda Any, sparse Any, random_state Any) : void from class org.spotlight.sequence.implicit.ImplicitSequenceModel |
spotlight/sequence/implicit.py |
| maxpumperla/elephas |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter yaml : Any to serialized_model : Any in method package __init__(self SparkWorker, serialized_model Any, train_config Any, master_optimizer Any, master_loss Any, master_metrics Any, custom_objects Any) : void from class org.elephas.worker.SparkWorker |
elephas/worker.py |
| maxpumperla/elephas |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter yaml : Any to serialized_model : Any in method package __init__(self AsynchronousSparkWorker, serialized_model Any, parameter_server_mode Any, train_config Any, frequency Any, master_optimizer Any, master_loss Any, master_metrics Any, custom_objects Any) : void from class org.elephas.worker.AsynchronousSparkWorker |
elephas/worker.py |
| maxpumperla/elephas |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter client_mode : Any to parameter_server_mode : Any in method package __init__(self AsynchronousSparkWorker, yaml Any, parameter_server_mode Any, train_config Any, frequency Any, master_optimizer Any, master_loss Any, master_metrics Any, custom_objects Any) : void from class org.elephas.worker.AsynchronousSparkWorker |
elephas/worker.py |
| maxpumperla/elephas |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter parameter_server : Any to parameter_server_mode : Any in method package __init__(self SparkModel, master_network Any, optimizer Any, mode Any, frequency Any, num_workers Any, master_optimizer Any, master_loss Any, master_metrics Any, custom_objects Any, parameter_server_mode Any) : void from class org.elephas.spark_model.SparkModel |
elephas/spark_model.py |
| maxpumperla/elephas |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter p1 : Any to param_list_left : Any in method package add_params(param_list_left Any, param_list_right Any) : void from class org.elephas.utils.functional_utils.PyDummyClass1 |
elephas/utils/functional_utils.py |
| maxpumperla/elephas |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter p2 : Any to param_list_right : Any in method package add_params(param_list_left Any, param_list_right Any) : void from class org.elephas.utils.functional_utils.PyDummyClass1 |
elephas/utils/functional_utils.py |
| maxpumperla/elephas |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter p1 : Any to param_list_left : Any in method package subtract_params(param_list_left Any, param_list_right Any) : void from class org.elephas.utils.functional_utils.PyDummyClass1 |
elephas/utils/functional_utils.py |
| maxpumperla/elephas |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter p2 : Any to param_list_right : Any in method package subtract_params(param_list_left Any, param_list_right Any) : void from class org.elephas.utils.functional_utils.PyDummyClass1 |
elephas/utils/functional_utils.py |
| maxpumperla/elephas |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter array : Any to array_list : Any in method package get_neutral(array_list Any) : void from class org.elephas.utils.functional_utils.PyDummyClass1 |
elephas/utils/functional_utils.py |
| maxpumperla/elephas |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter ps_connector : Any to client_mode : Any in method package __init__(self AsynchronousSparkWorker, yaml Any, client_mode Any, train_config Any, frequency Any, master_optimizer Any, master_loss Any, master_metrics Any, custom_objects Any) : void from class org.elephas.worker.AsynchronousSparkWorker |
elephas/worker.py |
| DT42/BerryNet |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter jsonPayload : Any to payloadID : Any in method package sendConfig(self DydaConfigUpdateClient, payloadID Any) : void from class org.berrynet.client.dyda_config_update.DydaConfigUpdateClient |
berrynet/client/dyda_config_update.py |
| DT42/BerryNet |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter serialized_jpg : Any to stringified_jpg : Any in method package destringify_jpg(stringified_jpg Any) : void from class org.berrynet.comm.payload.PyDummyClass1 |
berrynet/comm/payload.py |
| DT42/BerryNet |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter jpg_json : Any to payload : Any in method package deserialize_payload(payload Any) : void from class org.berrynet.comm.payload.PyDummyClass1 |
berrynet/comm/payload.py |
| AlexEMG/DeepLabCut |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter trainIndexes : Any to trainIndices : Any in method package create_training_dataset(config Any, num_shuffles Any, Shuffles Any, windows2linux Any, userfeedback Any, trainIndices Any, testIndices Any, net_type Any, augmenter_type Any) : void from class org.deeplabcut.generate_training_dataset.trainingsetmanipulation.PyDummyClass1 |
deeplabcut/generate_training_dataset/trainingsetmanipulation.py |
| AlexEMG/DeepLabCut |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter testIndexes : Any to testIndices : Any in method package create_training_dataset(config Any, num_shuffles Any, Shuffles Any, windows2linux Any, userfeedback Any, trainIndices Any, testIndices Any, net_type Any, augmenter_type Any) : void from class org.deeplabcut.generate_training_dataset.trainingsetmanipulation.PyDummyClass1 |
deeplabcut/generate_training_dataset/trainingsetmanipulation.py |
| AlexEMG/DeepLabCut |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter target_size : Any to target_size_product : Any in method package is_valid_size(self PoseDataset, target_size_product Any) : void from class org.deeplabcut.pose_estimation_tensorflow.dataset.pose_dataset_imgaug.PoseDataset |
deeplabcut/pose_estimation_tensorflow/dataset/pose_dataset_imgaug.py |
| PetrochukM/PyTorch-NLP |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter tokens : Any to token : Any in method package __contains__(self _PretrainedWordVectors, token Any) : void from class org.torchnlp.word_to_vector.pretrained_word_vectors._PretrainedWordVectors |
torchnlp/word_to_vector/pretrained_word_vectors.py |
| PetrochukM/PyTorch-NLP |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter token : Any to tokens : Any in method package __contains__(self _PretrainedWordVectors, tokens Any) : void from class org.torchnlp.word_to_vector.pretrained_word_vectors._PretrainedWordVectors |
torchnlp/word_to_vector/pretrained_word_vectors.py |
| PetrochukM/PyTorch-NLP |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter token : Any to tokens : Any in method package __getitem__(self _PretrainedWordVectors, tokens Any) : void from class org.torchnlp.word_to_vector.pretrained_word_vectors._PretrainedWordVectors |
torchnlp/word_to_vector/pretrained_word_vectors.py |
| PetrochukM/PyTorch-NLP |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter dataset : Any to list_ : Any in method package shuffle(list_ Any, random_seed Any) : void from class org.torchnlp.utils.PyDummyClass1 |
torchnlp/utils.py |
| PetrochukM/PyTorch-NLP |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter input_ : Any to query : Any in method package forward(self Attention, query Any, context Any) : void from class org.torchnlp.nn.attention.Attention |
torchnlp/nn/attention.py |
| pierluigiferrari/ssd_keras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter omit_neutral_boxes : Any to ignore_neutral_boxes : Any in method package __call__(self Evaluator, img_height Any, img_width Any, batch_size Any, data_generator_mode Any, round_confidences Any, matching_iou_threshold Any, include_border_pixels Any, sorting_algorithm Any, num_recall_points Any, ignore_neutral_boxes Any, return_precisions Any, return_recalls Any, return_average_precisions Any, verbose Any, decoding_confidence_thresh Any, decoding_iou_threshold Any, decoding_top_k Any, decoding_pred_coords Any, decoding_normalize_coords Any) : void from class org.eval_utils.average_precision_evaluator.Evaluator |
eval_utils/average_precision_evaluator.py |
| pierluigiferrari/ssd_keras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter omit_neutral_boxes : Any to ignore_neutral_boxes : Any in method package get_num_gt_per_class(self Evaluator, ignore_neutral_boxes Any, verbose Any, ret Any) : void from class org.eval_utils.average_precision_evaluator.Evaluator |
eval_utils/average_precision_evaluator.py |
| pierluigiferrari/ssd_keras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter omit_neutral_boxes : Any to ignore_neutral_boxes : Any in method package match_predictions(self Evaluator, ignore_neutral_boxes Any, matching_iou_threshold Any, include_border_pixels Any, sorting_algorithm Any, pred_format Any, verbose Any, ret Any) : void from class org.eval_utils.average_precision_evaluator.Evaluator |
eval_utils/average_precision_evaluator.py |
| pierluigiferrari/ssd_keras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter bounds : Any to overlap_bounds : Any in method package __init__(self BoxFilter, check_overlap Any, check_min_area Any, check_degenerate Any, overlap_criterion Any, overlap_bounds Any, min_area Any, labels_format Any) : void from class org.data_generator.object_detection_2d_image_boxes_validation_utils.BoxFilter |
data_generator/object_detection_2d_image_boxes_validation_utils.py |
| pierluigiferrari/ssd_keras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter limit_boxes : Any to clip_boxes : Any in method package ssd_300(image_size Any, n_classes Any, mode Any, l2_regularization Any, min_scale Any, max_scale Any, scales Any, aspect_ratios_global Any, aspect_ratios_per_layer Any, two_boxes_for_ar1 Any, steps Any, offsets Any, clip_boxes Any, variances Any, coords Any, normalize_coords Any, subtract_mean Any, divide_by_stddev Any, swap_channels Any, confidence_thresh Any, iou_threshold Any, top_k Any, nms_max_output_size Any, return_predictor_sizes Any) : void from class org.models.keras_ssd300.PyDummyClass1 |
models/keras_ssd300.py |
| pierluigiferrari/ssd_keras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter limit_boxes : Any to clip_boxes : Any in method package ssd_512(image_size Any, n_classes Any, mode Any, l2_regularization Any, min_scale Any, max_scale Any, scales Any, aspect_ratios_global Any, aspect_ratios_per_layer Any, two_boxes_for_ar1 Any, steps Any, offsets Any, clip_boxes Any, variances Any, coords Any, normalize_coords Any, subtract_mean Any, divide_by_stddev Any, swap_channels Any, confidence_thresh Any, iou_threshold Any, top_k Any, nms_max_output_size Any, return_predictor_sizes Any) : void from class org.models.keras_ssd512.PyDummyClass1 |
models/keras_ssd512.py |
| pierluigiferrari/ssd_keras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter limit_boxes : Any to clip_boxes : Any in method package build_model(image_size Any, n_classes Any, mode Any, l2_regularization Any, min_scale Any, max_scale Any, scales Any, aspect_ratios_global Any, aspect_ratios_per_layer Any, two_boxes_for_ar1 Any, steps Any, offsets Any, clip_boxes Any, variances Any, coords Any, normalize_coords Any, subtract_mean Any, divide_by_stddev Any, swap_channels Any, confidence_thresh Any, iou_threshold Any, top_k Any, nms_max_output_size Any, return_predictor_sizes Any) : void from class org.models.keras_ssd7.PyDummyClass1 |
models/keras_ssd7.py |
| pierluigiferrari/ssd_keras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter limit_boxes : Any to clip_boxes : Any in method package __init__(self AnchorBoxes, img_height Any, img_width Any, this_scale Any, next_scale Any, aspect_ratios Any, two_boxes_for_ar1 Any, this_steps Any, this_offsets Any, clip_boxes Any, variances Any, coords Any, normalize_coords Any) : void from class org.keras_layers.keras_layer_AnchorBoxes.AnchorBoxes |
keras_layers/keras_layer_AnchorBoxes.py |
| pierluigiferrari/ssd_keras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter aspect_ratios : Any to aspect_ratios_global : Any in method package build_model(image_size Any, n_classes Any, min_scale Any, max_scale Any, scales Any, aspect_ratios_global Any, aspect_ratios_per_layer Any, two_boxes_for_ar1 Any, limit_boxes Any, coords Any) : void from class org.keras_ssd7.PyDummyClass1 |
keras_ssd7.py |
| pierluigiferrari/ssd_keras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter loc_norm : Any to n_neg_min : Any in method package __init__(self SSD_Loss, neg_pos_ratio Any, n_neg_min Any, alpha Any) : void from class org.keras_ssd_loss.SSD_Loss |
keras_ssd_loss.py |
| NervanaSystems/coach |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter save_checkpoint_secs : Any to checkpoint_save_secs : Any in method package __init__(self TaskParameters, framework_type Any, evaluate_only Any, use_cpu Any, experiment_path Any, seed Any, checkpoint_save_secs Any) : void from class org.rl_coach.base_parameters.TaskParameters |
rl_coach/base_parameters.py |
| NervanaSystems/coach |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter db : Any to redis_db : Any in method package __init__(self DistributedExperienceReplay, max_size Any, allow_duplicates_in_batch_sampling Any, redis_ip Any, redis_port Any, redis_db Any) : void from class org.rl_coach.memories.non_episodic.distributed_experience_replay.DistributedExperienceReplay |
rl_coach/memories/non_episodic/distributed_experience_replay.py |
| autonomio/talos |
Rename Parameter |
RefactoringLink | CommitLink | No |
Rename Parameter save_best_model : Any to round_limit : Any in method package __init__(self Scan, x Any, y Any, params Any, dataset_name Any, experiment_no Any, model Any, val_split Any, shuffle Any, search_method Any, reduction_method Any, reduction_interval Any, reduction_window Any, grid_downsample Any, reduction_metric Any, round_limit Any, talos_log_name Any, debug Any) : void from class org.talos.scan.Scan |
talos/scan.py |
| tflearn/tflearn |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter data : Any to passengers : Any in method package preprocess(passengers Any, columns_to_delete Any) : void from class org.tutorials.intro.quickstart.PyDummyClass1 |
tutorials/intro/quickstart.py |
| tflearn/tflearn |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter columns_to_ignore : Any to columns_to_delete : Any in method package preprocess(passengers Any, columns_to_delete Any) : void from class org.tutorials.intro.quickstart.PyDummyClass1 |
tutorials/intro/quickstart.py |
| tflearn/tflearn |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter placeholderX : Any to input : Any in method package vgg16(input Any, num_class Any) : void from class org.examples.images.vgg_network_finetuning.PyDummyClass1 |
examples/images/vgg_network_finetuning.py |
| tflearn/tflearn |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter x : Any to incoming : Any in method package l2_normalize(incoming Any, dim Any, epsilon Any, name Any) : void from class org.tflearn.layers.normalization.PyDummyClass1 |
tflearn/layers/normalization.py |
| tflearn/tflearn |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter size : Any to samples_size : Any in method package make_batches(samples_size Any, batch_size Any) : void from class org.tflearn.utils.PyDummyClass1 |
tflearn/utils.py |
| tflearn/tflearn |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter bottlenet_size : Any to bottleneck_size : Any in method package deep_bottleneck(incoming Any, nb_layers Any, nb_filter Any, bottleneck_size Any, activation Any, batch_norm Any, bias Any, weights_init Any, bias_init Any, regularizer Any, weight_decay Any, trainable Any, restore Any, name Any) : void from class org.tflearn.layers.conv.PyDummyClass1 |
tflearn/layers/conv.py |
| dmlc/gluon-nlp |
Rename Parameter |
RefactoringLink | CommitLink | No |
Rename Parameter dtype : Any to temperature : Any in method package masked_softmax(att_score Any, mask Any, axis Any, temperature Any) : void from class org.src.gluonnlp.attention_cell.PyDummyClass1 |
src/gluonnlp/attention_cell.py |
| dmlc/gluon-nlp |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter indices : Any to subwordindices : Any in method package indices_to_subwords(self SubwordFunction, subwordindices Any) : void from class org.src.gluonnlp.vocab.subwords.SubwordFunction |
src/gluonnlp/vocab/subwords.py |
| dmlc/gluon-nlp |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter indices : Any to subwordindices : Any in method package indices_to_subwords(self ByteSubwords, subwordindices Any) : void from class org.src.gluonnlp.vocab.subwords.ByteSubwords |
src/gluonnlp/vocab/subwords.py |
| dmlc/gluon-nlp |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter indices : Any to subwordindices : Any in method package indices_to_subwords(self NGramHashes, subwordindices Any) : void from class org.src.gluonnlp.vocab.subwords.NGramHashes |
src/gluonnlp/vocab/subwords.py |
| dmlc/gluon-cv |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter first_dilation : Any to previous_dilation : Any in method package __init__(self DilatedBasicBlockV0, inplanes Any, planes Any, strides Any, dilation Any, downsample Any, previous_dilation Any, norm_layer Any) : void from class org.gluoncv.model_zoo.dilated.dilatedresnetv0.DilatedBasicBlockV0 |
gluoncv/model_zoo/dilated/dilatedresnetv0.py |
| dmlc/gluon-cv |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter first_dilation : Any to previous_dilation : Any in method package __init__(self DilatedBottleneckV0, inplanes Any, planes Any, strides Any, dilation Any, downsample Any, previous_dilation Any, norm_layer Any) : void from class org.gluoncv.model_zoo.dilated.dilatedresnetv0.DilatedBottleneckV0 |
gluoncv/model_zoo/dilated/dilatedresnetv0.py |
| dmlc/gluon-cv |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter first_dilation : Any to previous_dilation : Any in method package __init__(self DilatedBasicBlockV2, channels Any, stride Any, downsample Any, in_channels Any, dilation Any, previous_dilation Any, norm_layer Any) : void from class org.gluoncv.model_zoo.dilated.dilatedresnetv2.DilatedBasicBlockV2 |
gluoncv/model_zoo/dilated/dilatedresnetv2.py |
| dmlc/gluon-cv |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter first_dilation : Any to previous_dilation : Any in method package __init__(self DilatedBottleneckV2, channels Any, stride Any, downsample Any, in_channels Any, dilation Any, previous_dilation Any, norm_layer Any) : void from class org.gluoncv.model_zoo.dilated.dilatedresnetv2.DilatedBottleneckV2 |
gluoncv/model_zoo/dilated/dilatedresnetv2.py |
| deepmind/sonnet |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter inputs : Any to example : Any in method package split_leading_dim(x Any, example Any, num_dims Any) : void from class org.sonnet.src.batch_apply.PyDummyClass1 |
sonnet/src/batch_apply.py |
| deepmind/sonnet |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter sgd_class : Any to opt_class : Any in method package testDense(self SGDTest, opt_class Any) : void from class org.sonnet.src.sgd_test.SGDTest |
sonnet/src/sgd_test.py |
| deepmind/sonnet |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter sgd_class : Any to opt_class : Any in method package testSparse(self SGDTest, opt_class Any) : void from class org.sonnet.src.sgd_test.SGDTest |
sonnet/src/sgd_test.py |
| deepmind/sonnet |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter sgd_class : Any to opt_class : Any in method package testNoneUpdate(self SGDTest, opt_class Any) : void from class org.sonnet.src.sgd_test.SGDTest |
sonnet/src/sgd_test.py |
| deepmind/sonnet |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter sgd_class : Any to opt_class : Any in method package testVariableLearningRate(self SGDTest, opt_class Any) : void from class org.sonnet.src.sgd_test.SGDTest |
sonnet/src/sgd_test.py |
| deepmind/sonnet |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter sgd_class : Any to opt_class : Any in method package testLearningRateDTypeConversion(self SGDTest, opt_class Any) : void from class org.sonnet.src.sgd_test.SGDTest |
sonnet/src/sgd_test.py |
| deepmind/sonnet |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter sgd_class : Any to opt_class : Any in method package testDifferentLengthUpdatesParams(self SGDTest, opt_class Any) : void from class org.sonnet.src.sgd_test.SGDTest |
sonnet/src/sgd_test.py |
| deepmind/sonnet |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter sgd_class : Any to opt_class : Any in method package testEmptyParams(self SGDTest, opt_class Any) : void from class org.sonnet.src.sgd_test.SGDTest |
sonnet/src/sgd_test.py |
| deepmind/sonnet |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter sgd_class : Any to opt_class : Any in method package testInconsistentDTypes(self SGDTest, opt_class Any) : void from class org.sonnet.src.sgd_test.SGDTest |
sonnet/src/sgd_test.py |
| deepmind/sonnet |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter getter : Any to next_creator : Any in method package replica_local_creator(next_creator Any) : void from class org.sonnet.src.replicator.PyDummyClass1 |
sonnet/src/replicator.py |
| NervanaSystems/nlp-architect |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter attr : Any to indices : Any in method package row_selected_callback(indices Any, old Any, New Any) : void from class org.solutions.set_expansion.ui.main.PyDummyClass1 |
solutions/set_expansion/ui/main.py |
| NervanaSystems/nlp-architect |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter span : Any to spacy_span : Any in method package get_group_norm(spacy_span Any) : void from class org.solutions.set_expansion.prepare_data.PyDummyClass1 |
solutions/set_expansion/prepare_data.py |
| tryolabs/luminoth |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter max_per_class : Any to class_examples : Any in method package __init__(self ObjectDetectionReader, only_classes Any, only_images Any, limit_examples Any, class_examples Any) : void from class org.luminoth.tools.dataset.readers.object_detection.object_detection_reader.ObjectDetectionReader |
luminoth/tools/dataset/readers/object_detection/object_detection_reader.py |
| tryolabs/luminoth |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter partial_record : Any to record : Any in method package _queue_record(self OpenImagesReader, records_queue Any, record Any) : void from class org.luminoth.tools.dataset.readers.object_detection.openimages.OpenImagesReader |
luminoth/tools/dataset/readers/object_detection/openimages.py |
| tryolabs/luminoth |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter config : Any to config_files : Any in method package train(job_id Any, service_account_json Any, bucket_name Any, region Any, config_files Any, dataset Any, scale_tier Any, master_type Any, worker_type Any, worker_count Any, parameter_server_type Any, parameter_server_count Any) : void from class org.luminoth.tools.cloud.gcloud.PyDummyClass1 |
luminoth/tools/cloud/gcloud.py |
| tryolabs/luminoth |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter image_shape : Any to im_shape : Any in method package _build(self RPN, conv_feature_map Any, im_shape Any, all_anchors Any, gt_boxes Any) : void from class org.luminoth.models.fasterrcnn.rpn.RPN |
luminoth/models/fasterrcnn/rpn.py |
| tryolabs/luminoth |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter im_size : Any to im_shape : Any in method package _build(self RPNTarget, all_anchors Any, gt_boxes Any, im_shape Any) : void from class org.luminoth.models.fasterrcnn.rpn_target.RPNTarget |
luminoth/models/fasterrcnn/rpn_target.py |
| tryolabs/luminoth |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter rois : Any to roi_proposals : Any in method package _get_bboxes(self ROIPoolingLayer, roi_proposals Any, pretrained Any) : void from class org.frcnn.roi_pool.ROIPoolingLayer |
frcnn/roi_pool.py |
| tryolabs/luminoth |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter rois : Any to roi_proposals : Any in method package _roi_crop(self ROIPoolingLayer, roi_proposals Any, pretrained Any) : void from class org.frcnn.roi_pool.ROIPoolingLayer |
frcnn/roi_pool.py |
| tryolabs/luminoth |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter roi : Any to roi_proposals : Any in method package _roi_pooling(self ROIPoolingLayer, roi_proposals Any, pretrained Any) : void from class org.frcnn.roi_pool.ROIPoolingLayer |
frcnn/roi_pool.py |
| tryolabs/luminoth |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter roi : Any to roi_proposals : Any in method package _build(self ROIPoolingLayer, roi_proposals Any, pretrained Any) : void from class org.frcnn.roi_pool.ROIPoolingLayer |
frcnn/roi_pool.py |
| tryolabs/luminoth |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter rpn_cls_score : Any to rpn_cls_prob : Any in method package _build(self AnchorTarget, rpn_cls_prob Any, gt_boxes Any, im_info Any) : void from class org.frcnn.anchor_target.AnchorTarget |
frcnn/anchor_target.py |
| tryolabs/luminoth |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter rpn_cls_score : Any to rpn_cls_prob : Any in method package _anchor_target_layer(self AnchorTarget, rpn_cls_prob Any, gt_boxes Any, im_info Any) : void from class org.frcnn.anchor_target.AnchorTarget |
frcnn/anchor_target.py |
| tryolabs/luminoth |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter rpn_cls_score : Any to rpn_cls_prob : Any in method package _anchor_target_layer_np(self AnchorTarget, rpn_cls_prob Any, gt_boxes Any, im_info Any) : void from class org.frcnn.anchor_target.AnchorTarget |
frcnn/anchor_target.py |
| keras-team/autokeras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter encoder : Any to preprocessor : Any in method package serialize(preprocessor Any) : void from class org.autokeras.preprocessors.__init__.PyDummyClass1 |
autokeras/preprocessors/__init__.py |
| keras-team/autokeras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter hp : Any to hp_name : Any in method package insert(self Trie, hp_name Any) : void from class org.autokeras.tuners.greedy.Trie |
autokeras/tuners/greedy.py |
| keras-team/autokeras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter dropout_rate : Any to dropout : Any in method package __init__(self DenseBlock, num_layers Any, use_batchnorm Any, dropout Any) : void from class org.autokeras.blocks.basic.DenseBlock |
autokeras/blocks/basic.py |
| keras-team/autokeras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter dropout_rate : Any to dropout : Any in method package __init__(self ConvBlock, kernel_size Any, num_blocks Any, num_layers Any, max_pooling Any, separable Any, dropout Any) : void from class org.autokeras.blocks.basic.ConvBlock |
autokeras/blocks/basic.py |
| keras-team/autokeras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter dropout_rate : Any to dropout : Any in method package __init__(self Transformer, max_features Any, pretraining Any, embedding_dim Any, num_heads Any, dense_dim Any, dropout Any) : void from class org.autokeras.blocks.basic.Transformer |
autokeras/blocks/basic.py |
| keras-team/autokeras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter dropout_rate : Any to dropout : Any in method package __init__(self Embedding, max_features Any, pretraining Any, embedding_dim Any, dropout Any) : void from class org.autokeras.blocks.basic.Embedding |
autokeras/blocks/basic.py |
| keras-team/autokeras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter dropout_rate : Any to dropout : Any in method package __init__(self ClassificationHead, num_classes Any, multi_label Any, loss Any, metrics Any, dropout Any) : void from class org.autokeras.blocks.heads.ClassificationHead |
autokeras/blocks/heads.py |
| keras-team/autokeras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter dropout_rate : Any to dropout : Any in method package __init__(self RegressionHead, output_dim Any, loss Any, metrics Any, dropout Any) : void from class org.autokeras.blocks.heads.RegressionHead |
autokeras/blocks/heads.py |
| keras-team/autokeras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter dropout_rate : Any to dropout : Any in method package __init__(self SegmentationHead, num_classes Any, loss Any, metrics Any, dropout Any) : void from class org.autokeras.blocks.heads.SegmentationHead |
autokeras/blocks/heads.py |
| keras-team/autokeras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter name : Any to project_name : Any in method package __init__(self AutoModel, inputs Any, outputs Any, project_name Any, max_trials Any, directory Any, objective Any, tuner Any, overwrite Any, seed Any) : void from class org.autokeras.auto_model.AutoModel |
autokeras/auto_model.py |
| keras-team/autokeras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter name : Any to project_name : Any in method package __init__(self ImageClassifier, num_classes Any, multi_label Any, loss Any, metrics Any, project_name Any, max_trials Any, directory Any, objective Any, overwrite Any, seed Any) : void from class org.autokeras.tasks.image.ImageClassifier |
autokeras/tasks/image.py |
| keras-team/autokeras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter name : Any to project_name : Any in method package __init__(self ImageRegressor, output_dim Any, loss Any, metrics Any, project_name Any, max_trials Any, directory Any, objective Any, overwrite Any, seed Any) : void from class org.autokeras.tasks.image.ImageRegressor |
autokeras/tasks/image.py |
| keras-team/autokeras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter name : Any to project_name : Any in method package __init__(self ImageSegmenter, num_classes Any, multi_label Any, loss Any, metrics Any, project_name Any, max_trials Any, directory Any, objective Any, overwrite Any, seed Any) : void from class org.autokeras.tasks.image.ImageSegmenter |
autokeras/tasks/image.py |
| keras-team/autokeras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter name : Any to project_name : Any in method package __init__(self StructuredDataClassifier, column_names Any, column_types Any, num_classes Any, multi_label Any, loss Any, metrics Any, project_name Any, max_trials Any, directory Any, objective Any, overwrite Any, seed Any) : void from class org.autokeras.tasks.structured_data.StructuredDataClassifier |
autokeras/tasks/structured_data.py |
| keras-team/autokeras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter name : Any to project_name : Any in method package __init__(self StructuredDataRegressor, column_names Any, column_types Any, output_dim Any, loss Any, metrics Any, project_name Any, max_trials Any, directory Any, objective Any, overwrite Any, seed Any) : void from class org.autokeras.tasks.structured_data.StructuredDataRegressor |
autokeras/tasks/structured_data.py |
| keras-team/autokeras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter name : Any to project_name : Any in method package __init__(self TextClassifier, num_classes Any, multi_label Any, loss Any, metrics Any, project_name Any, max_trials Any, directory Any, objective Any, overwrite Any, seed Any) : void from class org.autokeras.tasks.text.TextClassifier |
autokeras/tasks/text.py |
| keras-team/autokeras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter name : Any to project_name : Any in method package __init__(self TextRegressor, output_dim Any, loss Any, metrics Any, project_name Any, max_trials Any, directory Any, objective Any, overwrite Any, seed Any) : void from class org.autokeras.tasks.text.TextRegressor |
autokeras/tasks/text.py |
| keras-team/autokeras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter name : Any to project_name : Any in method package __init__(self TimeseriesForecaster, output_dim Any, column_names Any, column_types Any, lookback Any, predict_from Any, predict_until Any, loss Any, metrics Any, project_name Any, max_trials Any, directory Any, objective Any, overwrite Any, seed Any) : void from class org.autokeras.tasks.time_series_forecaster.TimeseriesForecaster |
autokeras/tasks/time_series_forecaster.py |
| keras-team/autokeras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter name : Any to project_name : Any in method package __init__(self TimeseriesClassifier, output_dim Any, column_names Any, column_types Any, lookback Any, predict_from Any, predict_until Any, loss Any, metrics Any, project_name Any, max_trials Any, directory Any, objective Any, overwrite Any, seed Any) : void from class org.autokeras.tasks.time_series_forecaster.TimeseriesClassifier |
autokeras/tasks/time_series_forecaster.py |
| keras-team/autokeras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter feature_encoding : Any to categorical_encoding : Any in method package __init__(self StructuredDataBlock, categorical_encoding Any, seed Any) : void from class org.autokeras.hypermodels.wrapper.StructuredDataBlock |
autokeras/hypermodels/wrapper.py |
| keras-team/autokeras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter module_type : Any to block_type : Any in method package __init__(self StructuredDataBlock, feature_engineering Any, block_type Any, seed Any) : void from class org.autokeras.hypermodel.hyperblock.StructuredDataBlock |
autokeras/hypermodel/hyperblock.py |
| keras-team/autokeras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter y_train : Any to y : Any in method package transform_y(self ImageClassifier, y Any) : void from class org.autokeras.image.image_supervised.ImageClassifier |
autokeras/image/image_supervised.py |
| keras-team/autokeras |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter input : Any to input_data : Any in method package incremental_forward(self Conv1d, input_data Any) : void from class org.autokeras.pretrained.voice_generator.deepvoice3_pytorch.conv.Conv1d |
autokeras/pretrained/voice_generator/deepvoice3_pytorch/conv.py |
| keras-team/autokeras |
Rename Parameter |
RefactoringLink | CommitLink | No |
Rename Parameter height : Any to resize_shape : Any in method package resize_image_data(data Any, resize_shape Any) : void from class org.autokeras.utils.PyDummyClass1 |
autokeras/utils.py |
| uber/ludwig |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter logits : Any to last_hidden : Any in method package sampled_softmax_cross_entropy(labels Any, last_hidden Any, num_classes Any, decoder_weights Any, decoder_biases Any, sampler Any, negative_samples Any, class_counts Any, distortion Any, unique Any) : void from class org.ludwig.models.modules.loss_modules.PyDummyClass1 |
ludwig/models/modules/loss_modules.py |
| uber/ludwig |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter attention_mechanism : Any to attention : Any in method package __init__(self SequenceGeneratorDecoder, num_classes Any, cell_type Any, state_size Any, embedding_size Any, beam_width Any, num_layers Any, attention Any, tied_embeddings Any, initializer Any, regularize Any, is_timeseries Any, max_sequence_length Any, use_bias Any, weights_initializer Any, bias_initializer Any, weights_regularizer Any, bias_regularizer Any, activity_regularizer Any) : void from class org.ludwig.models.modules.sequence_decoders.SequenceGeneratorDecoder |
ludwig/models/modules/sequence_decoders.py |
| uber/ludwig |
Rename Parameter |
RefactoringLink | CommitLink | No |
Rename Parameter log_scale : Any to log_scale_x : Any in method package hyperopt_float_plot(hyperopt_results_df Any, hp_name Any, metric Any, filename Any, log_scale_x Any, log_scale_y Any) : void from class org.ludwig.utils.visualization_utils.PyDummyClass1 |
ludwig/utils/visualization_utils.py |
| uber/ludwig |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter final_hidden : Any to other_features_hidden : Any in method package concat_dependencies(self OutputFeature, hidden Any, other_features_hidden Any) : void from class org.ludwig.features.base_feature.OutputFeature |
ludwig/features/base_feature.py |
| uber/ludwig |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter k_fold : Any to num_folds : Any in method package kfold_cross_validate(num_folds Any, model_definition Any, model_definition_file Any, data_csv Any, output_directory Any, random_seed Any) : void from class org.ludwig.api.PyDummyClass1 |
ludwig/api.py |
| uber/ludwig |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter k_fold : Any to num_folds : Any in method package kfold_cross_validate(num_folds Any, model_definition Any, model_definition_file Any, data_csv Any, output_directory Any, random_seed Any) : void from class org.ludwig.experiment.PyDummyClass1 |
ludwig/experiment.py |
| uber/ludwig |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter self : Any to model_definition : Any in method package kfold_cross_validate(k_fold Any, model_definition Any, data_csv Any, output_directory Any, random_seed Any, skip_save_k_fold_split_indices Any) : void from class org.ludwig.api.PyDummyClass1 |
ludwig/api.py |
| uber/ludwig |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter init_checkpoint_path : Any to checkpoint_path : Any in method package __init__(self BERT, config_path Any, checkpoint_path Any, do_lower_case Any, reduce_output Any) : void from class org.ludwig.models.modules.sequence_encoders.BERT |
ludwig/models/modules/sequence_encoders.py |
| uber/ludwig |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter prediction_stats : Any to test_stats : Any in method package save_test_statistics(test_stats Any, experiment_dir_name Any) : void from class org.ludwig.predict.PyDummyClass1 |
ludwig/predict.py |
| uber/ludwig |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter prediction_stats : Any to test_stats : Any in method package print_test_results(test_stats Any) : void from class org.ludwig.predict.PyDummyClass1 |
ludwig/predict.py |
| uber/ludwig |
Rename Parameter |
RefactoringLink | CommitLink | No |
Rename Parameter most_common_characters : Any to preprocessing_parameters : Any in method package feature_meta(column Any, preprocessing_parameters Any) : void from class org.ludwig.features.text_feature.TextBaseFeature |
ludwig/features/text_feature.py |
| uber/ludwig |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter algorithms : Any to model_names : Any in method package compare_classifiers_performance(prediction_statistics Any, field Any, model_names Any) : void from class org.ludwig.visualize.PyDummyClass1 |
ludwig/visualize.py |
| wkentaro/labelme |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter msg : Any to fmt : Any in method package __init__(self ColoredFormatter, fmt Any, use_color Any) : void from class org.labelme.logger.ColoredFormatter |
labelme/logger.py |
| wkentaro/labelme |
Rename Parameter |
RefactoringLink | CommitLink | Yes |
Rename Parameter config_from_args : Any to config_specified : Any in method package get_config(config_specified Any) : void from class org.labelme.config.__init__.PyDummyClass1 |
labelme/config/__init__.py |