| Project |
RefactoringType |
RefactoringLink |
CommitLink |
TrueRefactoring? |
Description |
File |
| tflearn/tflearn |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [loss : Any, acc : Any, val_loss : Any, val_acc : Any, epoch : Any, step : Any] to training_state : Any in method package on_sub_batch_end(self TermLogger, training_state Any, train_index Any) : void from class org.tflearn.callbacks.TermLogger |
tflearn/callbacks.py |
| dmlc/gluon-cv |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [base_size : Any, crop_size : Any] to module : Any in method package __init__(self MultiEvalModel, module Any, nclass Any, ctx_list Any, flip Any, scales Any) : void from class org.gluoncv.model_zoo.segbase.MultiEvalModel |
gluoncv/model_zoo/segbase.py |
| keras-team/autokeras |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [ntime : Any, nnum : Any] to self : TabularPreprocessor in method package cat_to_num(self TabularPreprocessor, x Any, y Any) : void from class org.autokeras.tabular.tabular_preprocessor.TabularPreprocessor |
autokeras/tabular/tabular_preprocessor.py |
| ClimbsRocks/auto_ml |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [user_input_func : Any, ml_for_analytics : Any] to self : Predictor in method package _construct_pipeline(self Predictor, model_name Any, impute_missing_values Any, perform_feature_scaling Any) : void from class org.auto_ml.predictor.Predictor |
auto_ml/predictor.py |
| aleju/imgaug |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [cval_samples : Any, mode_samples : Any, order_samples : Any] to samples : Any in method package _augment_images_by_samples(self Affine, images Any, samples Any, return_matrices Any) : void from class org.imgaug.augmenters.geometric.Affine |
imgaug/augmenters/geometric.py |
| ray-project/ray |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [cluster_name : Any, cluster_uid : Any] to cluster_resource : Any in method package get_node_types(cluster_resource Any) : void from class org.python.ray.operator.operator_utils.PyDummyClass1 |
python/ray/operator/operator_utils.py |
| keras-team/keras |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [h_tm1 : Any, c_tm1 : Any] to self : LSTM in method package step(self LSTM, x Any, states Any) : void from class org.keras.layers.recurrent.LSTM |
keras/layers/recurrent.py |
| keras-team/keras |
Merge Parameter |
RefactoringLink | CommitLink | No |
Merge Parameter [input_dim : Any, nb_hidden : Any] to output_dim : Any in method package get_model(input_dim Any, nb_hidden Any, output_dim Any) : void from class org.tests.auto.test_optimizers.PyDummyClass1 |
tests/auto/test_optimizers.py |
| keras-team/keras |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [batch_size : Any, verbose : Any] to self : KerasClassifier in method package predict(self KerasClassifier, X Any) : void from class org.keras.wrappers.scikit_learn.KerasClassifier |
keras/wrappers/scikit_learn.py |
| keras-team/keras |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [batch_size : Any, verbose : Any] to self : KerasClassifier in method package predict_proba(self KerasClassifier, X Any) : void from class org.keras.wrappers.scikit_learn.KerasClassifier |
keras/wrappers/scikit_learn.py |
| suavecode/SUAVE |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [diff_p_fus : Any, w_fus : Any] to fuse : Any in method package tube(vehicle Any, fuse Any, wt_wing Any, wt_propulsion Any) : void from class org.trunk.SUAVE.Methods.Weights.Correlations.Tube_Wing.tube.PyDummyClass1 |
trunk/SUAVE/Methods/Weights/Correlations/Tube_Wing/tube.py |
| chuyangliu/snake |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [new_direc : Any, old_direc : Any] to self : Snake in method package __new_types(self Snake) : void from class org.snake.base.snake.Snake |
snake/base/snake.py |
| matthewwithanm/django-imagekit |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [model : Any, content : Any] to source_file : Any in method package process_content(self SpecFileGenerator, content Any, filename Any, source_file Any) : void from class org.imagekit.models.fields.SpecFileGenerator |
imagekit/models/fields.py |
| matthewwithanm/django-imagekit |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [obj : Any, self : _ImageSpecMixin] to file : Any in method package process(self _ImageSpecMixin, image Any, file Any) : void from class org.imagekit.fields._ImageSpecMixin |
imagekit/fields.py |
| ellisdg/3DUnetCNN |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [nb_channels : Any, input_shape : Any] to data_file : Any in method package get_training_and_testing_generators(data_file Any, batch_size Any, data_split Any) : void from class org.DataGenerator.PyDummyClass1 |
DataGenerator.py |
| ellisdg/3DUnetCNN |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [background_channel : Any, z_crop : Any] to input_shape : Any in method package data_generator(subject_folders Any, input_shape Any, batch_size Any, nb_channels Any) : void from class org.DataGenerator.PyDummyClass1 |
DataGenerator.py |
| google-research/google-research |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [net_depth : Any, net_depth_condition : Any] to self : MLP in method package __call__(self MLP, x Any, condition Any) : void from class org.jaxnerf.nerf.model_utils.MLP |
jaxnerf/nerf/model_utils.py |
| EducationalTestingService/factor_analyzer |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [tolerance : Any, max_iter : Any] to self : Rotator in method package _varimax(self Rotator, loadings Any) : void from class org.factor_analyzer.rotator.Rotator |
factor_analyzer/rotator.py |
| scikit-optimize/scikit-optimize |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [n_points : Any, xi : Any] to acq_optimizer_kwargs : Any in method package __init__(self Optimizer, dimensions Any, base_estimator Any, n_random_starts Any, acq_func Any, acq_optimizer Any, random_state Any, acq_func_kwargs Any, acq_optimizer_kwargs Any) : void from class org.skopt.optimizer.optimizer.Optimizer |
skopt/optimizer/optimizer.py |
| eriklindernoren/PyTorch-YOLOv3 |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [num_anchors : Any, grid_size : Any] to pred_boxes : Any in method package build_targets(pred_boxes Any, pred_cls Any, target Any, anchors Any, ignore_thres Any) : void from class org.utils.utils.PyDummyClass1 |
utils/utils.py |
| rusty1s/pytorch_geometric |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [norm : Any, norm_embed : Any] to normalize : Any in method package __init__(self GNN, in_channels Any, hidden_channels Any, out_channels Any, normalize Any, add_loop Any, lin Any) : void from class org.examples.enzymes_diff_pool.GNN |
examples/enzymes_diff_pool.py |
| UFAL-DSG/tgen |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [node_limits : Any, cdfs : Any] to self : RandomCandidateGenerator in method package get_all_successors(self RandomCandidateGenerator, cand_tree Any) : void from class org.tgen.candgen.RandomCandidateGenerator |
tgen/candgen.py |
| UFAL-DSG/tgen |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [filter_length : Any, num_filters : Any] to self : EmbNNRanker in method package _conv_layers(self EmbNNRanker, name Any, num_layers Any, pooling Any) : void from class org.tgen.rank_nn.EmbNNRanker |
tgen/rank_nn.py |
| UFAL-DSG/tgen |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [good_da : Any, good_tree : Any] to good : Any in method package _update_weights(self PerceptronRanker, good Any, bad Any) : void from class org.tgen.rank.PerceptronRanker |
tgen/rank.py |
| UFAL-DSG/tgen |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [bad_da : Any, bad_tree : Any] to bad : Any in method package _update_weights(self PerceptronRanker, good Any, bad Any) : void from class org.tgen.rank.PerceptronRanker |
tgen/rank.py |
| UFAL-DSG/tgen |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [good_da : Any, good_feats : Any] to good : Any in method package _update_weights(self NNRanker, good Any, bad Any) : void from class org.tgen.rank_nn.NNRanker |
tgen/rank_nn.py |
| UFAL-DSG/tgen |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [bad_da : Any, bad_feats : Any] to bad : Any in method package _update_weights(self NNRanker, good Any, bad Any) : void from class org.tgen.rank_nn.NNRanker |
tgen/rank_nn.py |
| PIQuIL/QuCumber |
Merge Parameter |
RefactoringLink | CommitLink | No |
Merge Parameter [on_train_start : Any, on_train_end : Any, on_epoch_start : Any, on_epoch_end : Any, on_batch_start : Any, on_batch_end : Any] to self : LambdaCallback in method package __init__(self LambdaCallback, on_train_start Any, on_train_end Any, on_epoch_start Any, on_epoch_end Any, on_batch_start Any, on_batch_end Any) : void from class org.qucumber.callbacks.LambdaCallback |
qucumber/callbacks.py |
| tyarkoni/pliers |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [model_kwargs : Any, tokenizer_kwargs : Any] to self : BertExtractor in method package __init__(self BertExtractor, pretrained_model Any, tokenizer Any, model_class Any, framework Any, return_metadata Any, model_kwargs Any, tokenizer_kwargs Any) : void from class org.pliers.extractors.text.BertExtractor |
pliers/extractors/text.py |
| analysiscenter/batchflow |
Merge Parameter |
RefactoringLink | CommitLink | No |
Merge Parameter [inputs : Any, training : Any] to self : Dropout in method package __call__(self Dropout, inputs Any, training Any) : void from class org.batchflow.models.tf.layers.core.Dropout |
batchflow/models/tf/layers/core.py |
| caserec/CaseRecommender |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [test_file : Any, space_type : Any] to test_set : Any in method package __init__(self ItemKNN, train_set Any, test_set Any, similarity_metric Any, neighbors Any) : void from class org.recommenders.rating_prediction.itemknn.ItemKNN |
recommenders/rating_prediction/itemknn.py |
| caserec/CaseRecommender |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [test_file : Any, space_type : Any] to test_set : Any in method package __init__(self UserKNN, train_set Any, test_set Any, similarity_metric Any, neighbors Any) : void from class org.recommenders.rating_prediction.userknn.UserKNN |
recommenders/rating_prediction/userknn.py |
| craffel/mir_eval |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [ref_onsets : Any, ref_offsets : Any, est_offsets : Any] to ref_intervals : Any in method package prf(ref_intervals Any, ref_pitches Any, est_intervals Any, est_pitches Any) : void from class org.mir_eval.transcription.PyDummyClass1 |
mir_eval/transcription.py |
| scikit-multiflow/scikit-multiflow |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [last_check_sdr : Any, last_check_ratio : Any, last_check_e : Any] to self : NumericAttributeRegressionObserver in method package _remove_bad_split_nodes(self NumericAttributeRegressionObserver, current_node Any) : void from class org.src.skmultiflow.trees.attribute_observer.numeric_attribute_regression_observer.NumericAttributeRegressionObserver |
src/skmultiflow/trees/attribute_observer/numeric_attribute_regression_observer.py |
| scikit-multiflow/scikit-multiflow |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [classes : Any, weight : Any] to sample_weight : Any in method package partial_fit(self MultiOutputLearner, X Any, y Any, classes Any, sample_weight Any) : void from class org.src.skmultiflow.meta.multi_output_learner.MultiOutputLearner |
src/skmultiflow/meta/multi_output_learner.py |
| scikit-multiflow/scikit-multiflow |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [partial_accuracy : Any, y : Any, prediction : Any] to current_x : Any in method package update_plot(self EvaluatePrequential, current_x Any, new_points_dict Any) : void from class org.skmultiflow.evaluation.evaluate_prequential.EvaluatePrequential |
skmultiflow/evaluation/evaluate_prequential.py |
| pytorch/fairseq |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [dropout : Any, share_input_output_embed : Any, learned_pos_embed : Any] to args : Any in method package __init__(self TransformerDecoder, args Any, dictionary Any, embed_tokens Any) : void from class org.fairseq.models.transformer.TransformerDecoder |
fairseq/models/transformer.py |
| jhfjhfj1/autokeras |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [ntime : Any, nnum : Any] to self : TabularPreprocessor in method package cat_to_num(self TabularPreprocessor, x Any, y Any) : void from class org.autokeras.tabular.tabular_preprocessor.TabularPreprocessor |
autokeras/tabular/tabular_preprocessor.py |
| IndicoDataSolutions/finetune |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [X : Any, context : Any] to zipped_data : Any in method package _predict_internal(self MultiLabelClassifier, zipped_data Any, threshold Any, probas Any) : void from class org.finetune.target_models.multi_label_classifier.MultiLabelClassifier |
finetune/target_models/multi_label_classifier.py |
| cornellius-gp/gpytorch |
Merge Parameter |
RefactoringLink | CommitLink | No |
Merge Parameter [grid_bounds : Any, grid_size : Any] to self : GridInterpolationKernel in method package _create_grid(self GridInterpolationKernel) : void from class org.gpytorch.kernels.grid_interpolation_kernel.GridInterpolationKernel |
gpytorch/kernels/grid_interpolation_kernel.py |
| cornellius-gp/gpytorch |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [log_mixture_weights : Any, log_mixture_means : Any, log_mixture_scales : Any] to self : SpectralMixtureKernel in method package forward(self SpectralMixtureKernel, x1 Any, x2 Any) : void from class org.gpytorch.kernels.spectral_mixture_kernel.SpectralMixtureKernel |
gpytorch/kernels/spectral_mixture_kernel.py |
| prody/ProDy |
Merge Parameter |
RefactoringLink | CommitLink | No |
Merge Parameter [structA : Any, structB : Any] to self : AdaptiveANM in method package __init__(self AdaptiveANM, structA Any, structB Any) : void from class org.prody.dynamics.adaptive.AdaptiveANM |
prody/dynamics/adaptive.py |
| chainer/chainerrl |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [reuse_env : Any, make_env : Any] to max_episode_len : Any in method package run_dqn(agent Any, make_env Any, phi Any, steps Any, eval_n_runs Any, eval_frequency Any, gpu Any, outdir Any, max_episode_len Any) : void from class org.run_dqn.PyDummyClass2 |
run_dqn.py |
| horovod/horovod |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [key : Any, tmout : Any] to settings : Any in method package _task_fn(index Any, driver_addresses Any, settings Any) : void from class org.horovod.run.task_fn.PyDummyClass1 |
horovod/run/task_fn.py |
| horovod/horovod |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [key : Any, tmout : Any] to settings : Any in method package _task_fn(index Any, driver_addresses Any, settings Any) : void from class org.horovod.spark.__init__.PyDummyClass1 |
horovod/spark/__init__.py |
| BindsNET/bindsnet |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [time : Any, plot : Any] to self : Pipeline in method package step(self Pipeline) : void from class org.bindsnet.pipeline.Pipeline |
bindsnet/pipeline.py |
| onnx/onnx-tensorflow |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [name : Any, output : Any] to tf_graph : Any in method package tensorflow_graph_to_onnx_graph(cls Any, tf_graph Any, opset Any, ignore_unimplemented Any) : void from class org.onnx_tf.frontend.TensorflowFrontend |
onnx_tf/frontend.py |
| flow-project/flow |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [num_vehicles : Any, num_rl_vehicles : Any] to scenario : Any in method package __init__(self SumoEnvironment, env_params Any, type_params Any, sumo_binary Any, sumo_params Any, scenario Any) : void from class org.cistar_dev.cistar.core.base_env.SumoEnvironment |
cistar-dev/cistar/core/base_env.py |
| dickreuter/Poker |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [board_cards : Any, pocket_cards : Any] to oc : Any in method package get_pocket_pair_to_set(self Outs_Calculator, oc Any) : void from class org.decisionmaker.outs_calculator.Outs_Calculator |
decisionmaker/outs_calculator.py |
| dickreuter/Poker |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [board_cards : Any, pocket_cards : Any] to oc : Any in method package get_gut_shot_two_overcards_draw(self Outs_Calculator, oc Any) : void from class org.decisionmaker.outs_calculator.Outs_Calculator |
decisionmaker/outs_calculator.py |
| theislab/scanpy |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [counts_per_cell : Any, copy : Any] to inplace : Any in method package normalize_total(data Any, cell_sum_after Any, counts_per_cell Any, key_n_counts Any, inplace Any, layers Any, layer_norm Any, min_counts Any) : void from class org.scanpy.preprocessing.normalization.PyDummyClass1 |
scanpy/preprocessing/normalization.py |
| osmr/imgclsmob |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [mean_rgb : Any, std_rgb : Any] to ds_metainfo : Any in method package __init__(self ImageNetTrainTransform, ds_metainfo Any) : void from class org.chainer_.datasets.imagenet1k_cls_dataset.ImageNetTrainTransform |
chainer_/datasets/imagenet1k_cls_dataset.py |
| osmr/imgclsmob |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [mean_rgb : Any, std_rgb : Any] to ds_metainfo : Any in method package __init__(self ImageNetValTransform, ds_metainfo Any) : void from class org.chainer_.datasets.imagenet1k_cls_dataset.ImageNetValTransform |
chainer_/datasets/imagenet1k_cls_dataset.py |
| osmr/imgclsmob |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [scope : Any, data_format : Any] to name : Any in method package channet_conv(x Any, out_channels Any, kernel_size Any, strides Any, dropout_rate Any, training Any, act_fn Any, name Any) : void from class org.tensorflow_.tensorflowcv.models.channelnet.PyDummyClass1 |
tensorflow_/tensorflowcv/models/channelnet.py |
| Kamnitsask/deepmedic |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [n_classes : Any, rec_field : Any] to cnn3d : Any in method package predict_whole_volume_by_tiling(log Any, sessionTf Any, cnn3d Any, channels Any, roi_mask Any, batchsize Any, save_fms_flag Any, idxs_fms_to_save Any) : void from class org.deepmedic.routines.testing.PyDummyClass1 |
deepmedic/routines/testing.py |
| Kamnitsask/deepmedic |
Merge Parameter |
RefactoringLink | CommitLink | Yes |
Merge Parameter [residConnAtLayersNormal : Any, lowerRankLayersNormal : Any, residConnAtLayersSubsampled : Any, lowerRankLayersSubsampled : Any] to self : ModelParameters in method package __init__(self ModelParameters, log Any, cfg Any) : void from class org.deepmedic.frontEnd.configParsing.modelParams.ModelParameters |
deepmedic/frontEndModules/frontEndHelpers/createModelParametersClass.py |