| Project |
RefactoringType |
RefactoringLink |
CommitLink |
TrueRefactoring? |
Description |
File |
| keras-team/keras-applications |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter depth_multiplier : Any in method package MobileNetV2(input_shape Any, alpha Any, depth_multiplier Any, include_top Any, weights Any, input_tensor Any, pooling Any, classes Any) : void from class org.keras_applications.mobilenet_v2.PyDummyClass1 |
keras_applications/mobilenet_v2.py |
| keras-team/keras-applications |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter engine : Any in method package set_keras_submodules(backend Any, engine Any, layers Any, models Any, utils Any) : void from class org.keras_applications.__init__.PyDummyClass1 |
keras_applications/__init__.py |
| keras-team/keras-applications |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter engine : Any in method package set_keras_submodules(backend Any, engine Any, layers Any, models Any, utils Any) : void from class org.keras_applications.__init__.PyDummyClass1 |
keras_applications/__init__.py |
| shenweichen/DeepCTR |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter sess_len_max : Any in method package DSIN(dnn_feature_columns Any, sess_feature_list Any, embedding_size Any, sess_max_count Any, sess_len_max Any, bias_encoding Any, att_embedding_size Any, att_head_num Any, dnn_hidden_units Any, dnn_activation Any, dnn_dropout Any, dnn_use_bn Any, l2_reg_dnn Any, l2_reg_embedding Any, init_std Any, seed Any, task Any) : void from class org.deepctr.models.dsin.PyDummyClass1 |
deepctr/models/dsin.py |
| shenweichen/DeepCTR |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter lr : Any in method package __init__(self DeepCrossNetwork, field_dim Any, feature_dim Any, embedding_size Any, lr Any, cross_layer_num Any, hidden_size Any, use_batchnorm Any, deep_l2_reg Any, init_std Any, seed Any, keep_prob Any, checkpoint_path Any, opt Any) : void from class org.deep_cross_network.DeepCrossNetwork |
deep_cross_network.py |
| shenweichen/DeepCTR |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter opt : Any in method package __init__(self DeepCrossNetwork, field_dim Any, feature_dim Any, embedding_size Any, lr Any, cross_layer_num Any, hidden_size Any, use_batchnorm Any, deep_l2_reg Any, init_std Any, seed Any, keep_prob Any, checkpoint_path Any, opt Any) : void from class org.deep_cross_network.DeepCrossNetwork |
deep_cross_network.py |
| shenweichen/DeepCTR |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter lr : Any in method package __init__(self DeepFM, field_dim Any, feature_dim Any, embedding_size Any, lr Any, opt Any, use_cross Any, hidden_size Any, l2_reg_w Any, l2_reg_V Any, init_std Any, seed Any, hidden_unit Any, keep_prob Any, checkpoint_path Any) : void from class org.deepfm.DeepFM |
deepfm.py |
| shenweichen/DeepCTR |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter opt : Any in method package __init__(self DeepFM, field_dim Any, feature_dim Any, embedding_size Any, lr Any, opt Any, use_cross Any, hidden_size Any, l2_reg_w Any, l2_reg_V Any, init_std Any, seed Any, hidden_unit Any, keep_prob Any, checkpoint_path Any) : void from class org.deepfm.DeepFM |
deepfm.py |
| lene/nn-wtf |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter self : SaveAndRestoreTest in method package is_ndarray_equal(self SaveAndRestoreTest, array_1 Any, array_2 Any) : void from class org.nn_wtf.tests.save_and_restore_test.SaveAndRestoreTest |
nn_wtf/tests/save_and_restore_test.py |
| lene/nn-wtf |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter input_placeholder : Any in method package build_neural_network(self NeuralNetworkGraph, input_placeholder Any) : void from class org.nn_wtf.neural_network_graph.NeuralNetworkGraph |
nn_wtf/neural_network_graph.py |
| lene/nn-wtf |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter labels_placeholder : Any in method package build_train_ops(self NeuralNetworkGraph, labels_placeholder Any, learning_rate Any) : void from class org.nn_wtf.neural_network_graph.NeuralNetworkGraph |
nn_wtf/neural_network_graph.py |
| lene/nn-wtf |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter fake_data : Any in method package __init__(self ImagesLabelsDataSet, images Any, labels Any, fake_data Any, one_hot Any) : void from class org.nn_wtf.images_labels_data_set.ImagesLabelsDataSet |
nn_wtf/images_labels_data_set.py |
| lene/nn-wtf |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter one_hot : Any in method package __init__(self ImagesLabelsDataSet, images Any, labels Any, fake_data Any, one_hot Any) : void from class org.nn_wtf.images_labels_data_set.ImagesLabelsDataSet |
nn_wtf/images_labels_data_set.py |
| tensorflow/ranking |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter topk : Any in method package __init__(self DocumentInteractionAttention, num_heads Any, head_size Any, num_layers Any, topk Any, dropout_rate Any, name Any) : void from class org.tensorflow_ranking.python.keras.layers.DocumentInteractionAttention |
tensorflow_ranking/python/keras/layers.py |
| tensorflow/ranking |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter topk : Any in method package _get_din_layer(self DocumentInteractionAttentionLayerTest, topk Any) : void from class org.tensorflow_ranking.python.keras.layers_test.DocumentInteractionAttentionLayerTest |
tensorflow_ranking/python/keras/layers_test.py |
| tensorflow/ranking |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter topk : Any in method package test_serialization(self DocumentInteractionAttentionLayerTest, topk Any) : void from class org.tensorflow_ranking.python.keras.layers_test.DocumentInteractionAttentionLayerTest |
tensorflow_ranking/python/keras/layers_test.py |
| tensorflow/ranking |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter topk : Any in method package test_deterministic_inference_behavior(self DocumentInteractionAttentionLayerTest, topk Any) : void from class org.tensorflow_ranking.python.keras.layers_test.DocumentInteractionAttentionLayerTest |
tensorflow_ranking/python/keras/layers_test.py |
| tensorflow/ranking |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter topk : Any in method package test_no_effect_circular_padding(self DocumentInteractionAttentionLayerTest, topk Any) : void from class org.tensorflow_ranking.python.keras.layers_test.DocumentInteractionAttentionLayerTest |
tensorflow_ranking/python/keras/layers_test.py |
| tsurumeso/waifu2x-chainer |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter scale : Any in method package image_tta(src Any, model Any, scale Any, tta_level Any, block_size Any, batch_size Any) : void from class org.lib.reconstruct.PyDummyClass1 |
lib/reconstruct.py |
| tsurumeso/waifu2x-chainer |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter scale : Any in method package image(src Any, model Any, scale Any, block_size Any, batch_size Any) : void from class org.lib.reconstruct.PyDummyClass1 |
lib/reconstruct.py |
| asappresearch/sru |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter custom_v : 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_u Any, custom_v Any) : void from class org.sru.sru_functional.SRUCell |
sru/sru_functional.py |
| asappresearch/sru |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter custom_v : 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_u Any, custom_v Any, proj_input_to_hidden_first Any) : void from class org.sru.sru_functional.SRU |
sru/sru_functional.py |
| Hironsan/anago |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter x_test : Any in method package train(self Trainer, x_train Any, y_train Any, x_valid Any, y_valid Any, x_test Any, y_test Any) : void from class org.anago.trainer.Trainer |
anago/trainer.py |
| Hironsan/anago |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter y_test : Any in method package train(self Trainer, x_train Any, y_train Any, x_valid Any, y_valid Any, x_test Any, y_test Any) : void from class org.anago.trainer.Trainer |
anago/trainer.py |
| maciejkula/spotlight |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter targets : Any in method package _test_shifted(sequences Any, targets Any) : void from class org.tests.test_interactions.PyDummyClass1 |
tests/test_interactions.py |
| maciejkula/spotlight |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter use_cuda : Any in method package sample_items(num_items Any, num_samples Any, random_state Any, use_cuda Any) : void from class org.spotlight.sampling.PyDummyClass1 |
spotlight/sampling.py |
| maxpumperla/elephas |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter mode : Any in method package test_training_custom_activation(mode Any, spark_context Any) : void from class org.tests.integration.test_custom_models.PyDummyClass1 |
tests/integration/test_custom_models.py |
| maxpumperla/elephas |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter parameters : Any in method package __init__(self SparkWorker, yaml Any, parameters 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 |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter sc : Any in method package __init__(self SparkMLlibModel, sc Any, master_network Any, optimizer Any, mode Any, frequency Any, num_workers Any, master_optimizer Any, master_loss Any, master_metrics Any, custom_objects Any) : void from class org.elephas.spark_model.SparkMLlibModel |
elephas/spark_model.py |
| maxpumperla/elephas |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter sc : Any in method package __init__(self SparkModel, sc Any, 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 Any) : void from class org.elephas.spark_model.SparkModel |
elephas/spark_model.py |
| DT42/BerryNet |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter output : Any in method package save_output(self DLEngine, output Any, filepath Any) : void from class org.inference.engineservice.DLEngine |
inference/engineservice.py |
| DT42/BerryNet |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter filepath : Any in method package save_output(self DLEngine, output Any, filepath Any) : void from class org.inference.engineservice.DLEngine |
inference/engineservice.py |
| PetrochukM/PyTorch-NLP |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter name : Any in method package penn_treebank_dataset(directory Any, train Any, dev Any, test Any, train_filename Any, dev_filename Any, test_filename Any, name Any, check_file Any, urls Any) : void from class org.torchnlp.datasets.penn_treebank.PyDummyClass1 |
torchnlp/datasets/penn_treebank.py |
| PetrochukM/PyTorch-NLP |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter sort_noise : Any in method package __init__(self SortedSampler, data_source Any, sort_key Any, sort_noise Any) : void from class org.lib.samplers.sorted_sampler.SortedSampler |
lib/samplers/sorted_sampler.py |
| pierluigiferrari/ssd_keras |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter clip_boxes : Any in method package __init__(self RandomPadFixedAR, patch_aspect_ratio Any, clip_boxes Any, background Any, labels_format Any) : void from class org.data_generator.object_detection_2d_patch_sampling_ops.RandomPadFixedAR |
data_generator/object_detection_2d_patch_sampling_ops.py |
| NervanaSystems/coach |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter rescaling_interpolation_type : Any in method package __init__(self ObservationRescaleSizeByFactorFilter, rescale_factor Any, rescaling_interpolation_type Any) : void from class org.rl_coach.filters.observation.observation_rescale_size_by_factor_filter.ObservationRescaleSizeByFactorFilter |
rl_coach/filters/observation/observation_rescale_size_by_factor_filter.py |
| NervanaSystems/coach |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter rescaling_interpolation_type : Any in method package __init__(self ObservationRescaleToSizeFilter, output_observation_space Any, rescaling_interpolation_type Any) : void from class org.rl_coach.filters.observation.observation_rescale_to_size_filter.ObservationRescaleToSizeFilter |
rl_coach/filters/observation/observation_rescale_to_size_filter.py |
| autonomio/talos |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter talos_log_name : Any in method package __init__(self Scan, x Any, y Any, params Any, model Any, dataset_name Any, experiment_no Any, x_val Any, y_val Any, val_split Any, shuffle Any, round_limit Any, grid_downsample Any, random_method Any, seed Any, search_method Any, reduction_method Any, reduction_interval Any, reduction_window Any, reduction_threshold Any, reduction_metric Any, reduce_loss Any, last_epoch_value Any, talos_log_name Any, clear_tf_session Any, functional_model Any, disable_progress_bar Any, print_params Any, debug Any) : void from class org.talos.scan.Scan.Scan |
talos/scan/Scan.py |
| autonomio/talos |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter functional_model : Any in method package __init__(self Scan, x Any, y Any, params Any, model Any, dataset_name Any, experiment_no Any, x_val Any, y_val Any, val_split Any, shuffle Any, round_limit Any, grid_downsample Any, random_method Any, seed Any, search_method Any, reduction_method Any, reduction_interval Any, reduction_window Any, reduction_threshold Any, reduction_metric Any, reduce_loss Any, last_epoch_value Any, talos_log_name Any, clear_tf_session Any, functional_model Any, disable_progress_bar Any, print_params Any, debug Any) : void from class org.talos.scan.Scan.Scan |
talos/scan/Scan.py |
| autonomio/talos |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter correlation : Any in method package correlation(self Any, correlation Any, corr_to_drop Any) : void from class org.talos.reducers.correlation.PyDummyClass1 |
talos/reducers/correlation.py |
| tflearn/tflearn |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter normalizer_fn : Any in method package conv_2d(incoming Any, nb_filter Any, filter_size Any, strides Any, padding Any, activation Any, bias Any, normalizer_fn Any, normalizer_params Any, weights_init Any, bias_init Any, regularizer Any, weight_decay Any, trainable Any, restore Any, reuse Any, scope Any, name Any) : void from class org.tflearn.layers.conv.PyDummyClass1 |
tflearn/layers/conv.py |
| tflearn/tflearn |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter normalizer_params : Any in method package conv_2d(incoming Any, nb_filter Any, filter_size Any, strides Any, padding Any, activation Any, bias Any, normalizer_fn Any, normalizer_params Any, weights_init Any, bias_init Any, regularizer Any, weight_decay Any, trainable Any, restore Any, reuse Any, scope Any, name Any) : void from class org.tflearn.layers.conv.PyDummyClass1 |
tflearn/layers/conv.py |
| tflearn/tflearn |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter keep_checkpoint_every_n_hours : Any in method package __init__(self DNN, network Any, clip_gradients Any, tensorboard_verbose Any, tensorboard_dir Any, checkpoint_path Any, max_checkpoints Any, session Any, keep_checkpoint_every_n_hours Any) : void from class org.tflearn.models.dnn.DNN |
tflearn/models/dnn.py |
| dmlc/gluon-nlp |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter dtype : Any in method package multi_head_dot_attn(query Any, key Any, value Any, mask Any, edge_scores Any, dropout Any, scaled Any, normalized Any, eps Any, query_head_units Any, layout Any, use_einsum Any, dtype Any) : void from class org.src.gluonnlp.attention_cell.PyDummyClass1 |
src/gluonnlp/attention_cell.py |
| dmlc/gluon-nlp |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter batch : Any in method package infer(batch Any, prefix Any) : void from class org.scripts.bert.export.PyDummyClass1 |
scripts/bert/export.py |
| dmlc/gluon-nlp |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter dataset_name : Any in method package get_model(name Any, dataset_name Any) : void from class org.src.gluonnlp.model.__init__.PyDummyClass1 |
src/gluonnlp/model/__init__.py |
| dmlc/gluon-nlp |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter trainer : Any in method package save_params(step_num Any, model Any, trainer Any, ckpt_dir Any) : void from class org.scripts.bert.pretraining_utils.PyDummyClass1 |
scripts/bert/pretraining_utils.py |
| dmlc/gluon-nlp |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter datadir : Any in method package test_fasttext_embedding_load_binary_compare_vec(datadir Any) : void from class org.tests.unittest.train.test_embedding.PyDummyClass1 |
tests/unittest/train/test_embedding.py |
| dmlc/gluon-nlp |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter prefix : Any in method package __init__(self L2Normalization, axis Any, eps Any, prefix Any, params Any) : void from class org.gluonnlp.model.block.L2Normalization |
gluonnlp/model/block.py |
| dmlc/gluon-nlp |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter params : Any in method package __init__(self L2Normalization, axis Any, eps Any, prefix Any, params Any) : void from class org.gluonnlp.model.block.L2Normalization |
gluonnlp/model/block.py |
| dmlc/gluon-cv |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter feat_dim : Any in method package __init__(self ActionRecInceptionV1, nclass Any, pretrained_base Any, partial_bn Any, dropout_ratio Any, init_std Any, feat_dim Any, num_segments Any, num_crop Any) : void from class org.gluoncv.model_zoo.action_recognition.actionrec_inceptionv1.ActionRecInceptionV1 |
gluoncv/model_zoo/action_recognition/actionrec_inceptionv1.py |
| dmlc/gluon-cv |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter feat_dim : Any in method package __init__(self ActionRecInceptionV3, nclass Any, pretrained_base Any, partial_bn Any, dropout_ratio Any, init_std Any, feat_dim Any, num_segments Any, num_crop Any) : void from class org.gluoncv.model_zoo.action_recognition.actionrec_inceptionv3.ActionRecInceptionV3 |
gluoncv/model_zoo/action_recognition/actionrec_inceptionv3.py |
| dmlc/gluon-cv |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter feat_dim : Any in method package __init__(self ActionRecResNetV1b, depth Any, nclass Any, pretrained_base Any, dropout_ratio Any, init_std Any, feat_dim Any, num_segments Any, num_crop Any, partial_bn Any) : void from class org.gluoncv.model_zoo.action_recognition.actionrec_resnetv1b.ActionRecResNetV1b |
gluoncv/model_zoo/action_recognition/actionrec_resnetv1b.py |
| dmlc/gluon-cv |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter feat_dim : Any in method package __init__(self ActionRecVGG16, nclass Any, pretrained_base Any, dropout_ratio Any, init_std Any, feat_dim Any, num_segments Any, num_crop Any) : void from class org.gluoncv.model_zoo.action_recognition.actionrec_vgg16.ActionRecVGG16 |
gluoncv/model_zoo/action_recognition/actionrec_vgg16.py |
| dmlc/gluon-cv |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter F : Any in method package hybrid_forward(self SigmoidClassEncoder, F Any, samples Any) : void from class org.gluoncv.nn.coder.SigmoidClassEncoder |
gluoncv/nn/coder.py |
| deepmind/sonnet |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter use_dropout : Any in method package __init__(self MLP, output_sizes Any, w_init Any, b_init Any, with_bias Any, activation Any, use_dropout Any, dropout_rate Any, activate_final Any, name Any) : void from class org.sonnet.src.nets.mlp.MLP |
sonnet/src/nets/mlp.py |
| deepmind/sonnet |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter use_dropout : Any in method package test_submodules(self MLPTest, num_layers Any, use_dropout Any, dropout_rate Any) : void from class org.sonnet.src.nets.mlp_test.MLPTest |
sonnet/src/nets/mlp_test.py |
| deepmind/sonnet |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter skip_connection : Any in method package __init__(self ConvLSTM, conv_ndims Any, input_shape Any, output_channels Any, kernel_shape Any, stride Any, rate Any, padding Any, use_bias Any, skip_connection Any, forget_bias Any, initializers Any, partitioners Any, regularizers Any, custom_getter Any, name Any) : void from class org.sonnet.python.modules.gated_rnn.ConvLSTM |
sonnet/python/modules/gated_rnn.py |
| NervanaSystems/nlp-architect |
Remove Parameter |
RefactoringLink | CommitLink | No |
Remove Parameter request : Any in method package data(request Any) : void from class org.tests.conftest.PyDummyClass1 |
tests/conftest.py |
| NervanaSystems/nlp-architect |
Remove Parameter |
RefactoringLink | CommitLink | No |
Remove Parameter request : Any in method package device_id(request Any) : void from class org.tests.conftest.PyDummyClass1 |
tests/conftest.py |
| tryolabs/luminoth |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter limit_classes : Any in method package __init__(self ObjectDetectionReader, only_classes Any, only_images Any, limit_examples Any, limit_classes Any, seed 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 |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter seed : Any in method package __init__(self ObjectDetectionReader, only_classes Any, only_images Any, limit_examples Any, limit_classes Any, seed 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 |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter limit_classes : Any in method package get_output_subfolder(only_classes Any, only_images Any, limit_examples Any, limit_classes Any) : void from class org.luminoth.tools.dataset.transform.PyDummyClass1 |
luminoth/tools/dataset/transform.py |
| tryolabs/luminoth |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter limit_classes : Any in method package transform(dataset_reader Any, data_dir Any, output_dir Any, splits Any, only_classes Any, only_images Any, limit_examples Any, limit_classes Any, seed Any, overrides Any, debug Any) : void from class org.luminoth.tools.dataset.transform.PyDummyClass1 |
luminoth/tools/dataset/transform.py |
| tryolabs/luminoth |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter seed : Any in method package transform(dataset_reader Any, data_dir Any, output_dir Any, splits Any, only_classes Any, only_images Any, limit_examples Any, limit_classes Any, seed Any, overrides Any, debug Any) : void from class org.luminoth.tools.dataset.transform.PyDummyClass1 |
luminoth/tools/dataset/transform.py |
| tryolabs/luminoth |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter num_classes : Any in method package truncated_vgg_16(inputs Any, num_classes Any, is_training Any, dropout_keep_prob Any, spatial_squeeze Any, scope Any) : void from class org.luminoth.models.base.truncated_vgg.PyDummyClass1 |
luminoth/models/base/truncated_vgg.py |
| tryolabs/luminoth |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter dropout_keep_prob : Any in method package truncated_vgg_16(inputs Any, num_classes Any, is_training Any, dropout_keep_prob Any, spatial_squeeze Any, scope Any) : void from class org.luminoth.models.base.truncated_vgg.PyDummyClass1 |
luminoth/models/base/truncated_vgg.py |
| tryolabs/luminoth |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter spatial_squeeze : Any in method package truncated_vgg_16(inputs Any, num_classes Any, is_training Any, dropout_keep_prob Any, spatial_squeeze Any, scope Any) : void from class org.luminoth.models.base.truncated_vgg.PyDummyClass1 |
luminoth/models/base/truncated_vgg.py |
| tryolabs/luminoth |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter iou_threshold : Any in method package eval(dataset_split Any, config_files Any, watch Any, from_global_step Any, override_params Any, files_per_class Any, iou_threshold Any, max_detections Any) : void from class org.luminoth.eval.PyDummyClass1 |
luminoth/eval.py |
| tryolabs/luminoth |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter iou_threshold : Any in method package evaluate_once(config Any, writer Any, saver Any, ops Any, checkpoint Any, metrics_scope Any, image_vis Any, files_per_class Any, files_to_visualize Any, iou_threshold Any) : void from class org.luminoth.eval.PyDummyClass1 |
luminoth/eval.py |
| tryolabs/luminoth |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter iou_threshold : Any in method package calculate_map(output_per_batch Any, num_classes Any, iou_threshold Any) : void from class org.luminoth.eval.PyDummyClass1 |
luminoth/eval.py |
| tryolabs/luminoth |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter min_probability : Any in method package eval(dataset_split Any, config_files Any, watch Any, from_global_step Any, override_params Any, files_per_class Any, iou_threshold Any, min_probability Any) : void from class org.luminoth.eval.PyDummyClass1 |
luminoth/eval.py |
| tryolabs/luminoth |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter min_probability : Any in method package evaluate_once(config Any, writer Any, saver Any, ops Any, checkpoint Any, metrics_scope Any, image_vis Any, files_per_class Any, files_to_visualize Any, iou_threshold Any, min_probability Any) : void from class org.luminoth.eval.PyDummyClass1 |
luminoth/eval.py |
| tryolabs/luminoth |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter parent_name : Any in method package __init__(self TruncatedBaseNetwork, config Any, parent_name Any, name Any) : void from class org.luminoth.models.base.truncated_base_network.TruncatedBaseNetwork |
luminoth/models/base/truncated_base_network.py |
| tryolabs/luminoth |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter project_id : Any in method package jobs(project_id Any, service_account_json Any, running Any) : void from class org.luminoth.tools.cloud.gcloud.PyDummyClass1 |
luminoth/tools/cloud/gcloud.py |
| tryolabs/luminoth |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter project_id : Any in method package logs(job_id Any, project_id Any, service_account_json Any, polling_interval Any) : void from class org.luminoth.tools.cloud.gcloud.PyDummyClass1 |
luminoth/tools/cloud/gcloud.py |
| tryolabs/luminoth |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter seed : Any in method package __init__(self ObjectDetectionDataset, config Any, seed Any) : void from class org.luminoth.datasets.object_detection_dataset.ObjectDetectionDataset |
luminoth/datasets/object_detection_dataset.py |
| tryolabs/luminoth |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter with_rcnn : Any in method package __init__(self FasterRCNN, config Any, with_rcnn Any, num_classes Any, debug Any, seed Any, name Any) : void from class org.luminoth.models.fasterrcnn.network.FasterRCNN |
luminoth/models/fasterrcnn/network.py |
| tryolabs/luminoth |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter num_classes : Any in method package __init__(self FasterRCNN, config Any, with_rcnn Any, num_classes Any, debug Any, seed Any, name Any) : void from class org.luminoth.models.fasterrcnn.network.FasterRCNN |
luminoth/models/fasterrcnn/network.py |
| tryolabs/luminoth |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter debug : Any in method package __init__(self FasterRCNN, config Any, with_rcnn Any, num_classes Any, debug Any, seed Any, name Any) : void from class org.luminoth.models.fasterrcnn.network.FasterRCNN |
luminoth/models/fasterrcnn/network.py |
| tryolabs/luminoth |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter seed : Any in method package __init__(self FasterRCNN, config Any, with_rcnn Any, num_classes Any, debug Any, seed Any, name Any) : void from class org.luminoth.models.fasterrcnn.network.FasterRCNN |
luminoth/models/fasterrcnn/network.py |
| tryolabs/luminoth |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter seed : Any in method package run(model_type Any, config_file Any, override_params Any, seed Any, target Any, cluster_spec Any, is_chief Any, job_name Any, task_index Any) : void from class org.luminoth.train.PyDummyClass1 |
luminoth/train.py |
| tryolabs/luminoth |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter worst : Any in method package draw_rcnn_reg_batch_errors(pred_dict Any, worst Any) : void from class org.frcnn.utils.image_vis.PyDummyClass1 |
frcnn/utils/image_vis.py |
| tryolabs/luminoth |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter print_foreground : Any in method package draw_batch_proposals(pred_dict Any, print_foreground Any, print_background Any) : void from class org.frcnn.utils.image_vis.PyDummyClass1 |
frcnn/utils/image_vis.py |
| tryolabs/luminoth |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter print_background : Any in method package draw_batch_proposals(pred_dict Any, print_foreground Any, print_background Any) : void from class org.frcnn.utils.image_vis.PyDummyClass1 |
frcnn/utils/image_vis.py |
| tryolabs/luminoth |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter scores : Any in method package _build(self RCNNTarget, proposals Any, scores Any, gt_boxes Any, im_shape Any) : void from class org.frcnn.rcnn_target.RCNNTarget |
frcnn/rcnn_target.py |
| tryolabs/luminoth |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter im_shape : Any in method package _build(self RCNNTarget, proposals Any, scores Any, gt_boxes Any, im_shape Any) : void from class org.frcnn.rcnn_target.RCNNTarget |
frcnn/rcnn_target.py |
| tryolabs/luminoth |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter scores : Any in method package proposal_target_layer(self RCNNTarget, proposals Any, scores Any, gt_boxes Any, im_shape Any) : void from class org.frcnn.rcnn_target.RCNNTarget |
frcnn/rcnn_target.py |
| tryolabs/luminoth |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter im_shape : Any in method package proposal_target_layer(self RCNNTarget, proposals Any, scores Any, gt_boxes Any, im_shape Any) : void from class org.frcnn.rcnn_target.RCNNTarget |
frcnn/rcnn_target.py |
| keras-team/autokeras |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter init : Any in method package test_structured_data_classifier_from_csv(init Any, fit Any, tmp_path Any) : void from class org.tests.autokeras.tasks.structure_data_test.PyDummyClass1 |
tests/autokeras/tasks/structure_data_test.py |
| keras-team/autokeras |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter multi_label : 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 |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter init : Any in method package test_add_early_stopping(fit_fn Any, base_tuner_search Any, init Any, tmp_path Any) : void from class org.tests.autokeras.engine.tuner_test.PyDummyClass1 |
tests/autokeras/engine/tuner_test.py |
| keras-team/autokeras |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter init : Any in method package test_overwrite_search(fit_fn Any, base_tuner_search Any, init Any, tmp_path Any) : void from class org.tests.autokeras.engine.tuner_test.PyDummyClass1 |
tests/autokeras/engine/tuner_test.py |
| keras-team/autokeras |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter block_type : Any in method package __init__(self StructuredDataBlock, feature_encoding Any, block_type Any, seed Any) : void from class org.autokeras.hypermodels.wrapper.StructuredDataBlock |
autokeras/hypermodels/wrapper.py |
| keras-team/autokeras |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter _1 : Any in method package test_processing(_ Any, _1 Any) : void from class org.tests.text.test_text_preprocessor.PyDummyClass1 |
tests/text/test_text_preprocessor.py |
| keras-team/autokeras |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter width : Any in method package resize_image_data(data Any, height Any, width Any) : void from class org.autokeras.utils.PyDummyClass1 |
autokeras/utils.py |
| keras-team/autokeras |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter _ : Any in method package test_model_trainer_not_augmented(_ Any) : void from class org.tests.test_utils.PyDummyClass1 |
tests/test_utils.py |
| uber/ludwig |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter initializer : Any in method package __init__(self H3RNN, embedding_size Any, embeddings_on_cpu Any, num_layers Any, state_size Any, cell_type Any, bidirectional Any, activation Any, recurrent_activation Any, use_bias Any, unit_forget_bias Any, weights_initializer Any, recurrent_initializer Any, bias_initializer Any, weights_regularizer Any, recurrent_regularizer Any, bias_regularizer Any, activity_regularizer Any, dropout Any, recurrent_dropout Any, initializer Any, regularize Any, reduce_output Any) : void from class org.ludwig.encoders.h3_encoders.H3RNN |
ludwig/encoders/h3_encoders.py |
| uber/ludwig |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter regularize : Any in method package __init__(self H3RNN, embedding_size Any, embeddings_on_cpu Any, num_layers Any, state_size Any, cell_type Any, bidirectional Any, activation Any, recurrent_activation Any, use_bias Any, unit_forget_bias Any, weights_initializer Any, recurrent_initializer Any, bias_initializer Any, weights_regularizer Any, recurrent_regularizer Any, bias_regularizer Any, activity_regularizer Any, dropout Any, recurrent_dropout Any, initializer Any, regularize Any, reduce_output Any) : void from class org.ludwig.encoders.h3_encoders.H3RNN |
ludwig/encoders/h3_encoders.py |
| uber/ludwig |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter metadata : Any in method package add_feature_data(feature Any, dataset_df Any, data Any, metadata Any, preprocessing_parameters Any) : void from class org.ludwig.features.h3_feature.H3BaseFeature |
ludwig/features/h3_feature.py |
| uber/ludwig |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter preprocessing_parameters : Any in method package add_feature_data(feature Any, dataset_df Any, data Any, metadata Any, preprocessing_parameters Any) : void from class org.ludwig.features.h3_feature.H3BaseFeature |
ludwig/features/h3_feature.py |
| uber/ludwig |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter sys_argv : Any in method package cli(sys_argv Any) : void from class org.ludwig.neuropod.PyDummyClass1 |
ludwig/neuropod.py |
| uber/ludwig |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter output_feature : Any in method package __call__(self SequenceTaggerDecoder, output_feature Any, targets Any, hidden Any, hidden_size Any, regularizer Any, is_timeseries Any) : void from class org.ludwig.models.modules.sequence_decoders.SequenceTaggerDecoder |
ludwig/models/modules/sequence_decoders.py |
| uber/ludwig |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter targets : Any in method package __call__(self SequenceTaggerDecoder, output_feature Any, targets Any, hidden Any, hidden_size Any, regularizer Any, is_timeseries Any) : void from class org.ludwig.models.modules.sequence_decoders.SequenceTaggerDecoder |
ludwig/models/modules/sequence_decoders.py |
| uber/ludwig |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter hidden_size : Any in method package __call__(self SequenceTaggerDecoder, output_feature Any, targets Any, hidden Any, hidden_size Any, regularizer Any, is_timeseries Any) : void from class org.ludwig.models.modules.sequence_decoders.SequenceTaggerDecoder |
ludwig/models/modules/sequence_decoders.py |
| uber/ludwig |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter regularizer : Any in method package __call__(self SequenceTaggerDecoder, output_feature Any, targets Any, hidden Any, hidden_size Any, regularizer Any, is_timeseries Any) : void from class org.ludwig.models.modules.sequence_decoders.SequenceTaggerDecoder |
ludwig/models/modules/sequence_decoders.py |
| uber/ludwig |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter is_timeseries : Any in method package __call__(self SequenceTaggerDecoder, output_feature Any, targets Any, hidden Any, hidden_size Any, regularizer Any, is_timeseries Any) : void from class org.ludwig.models.modules.sequence_decoders.SequenceTaggerDecoder |
ludwig/models/modules/sequence_decoders.py |
| uber/ludwig |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter model_definition : Any in method package kfold_cross_validate(model_definition Any, model_definition_file Any, data_train_csv Any, output_directory Any, k_fold Any) : void from class org.ludwig.train.PyDummyClass1 |
ludwig/train.py |
| uber/ludwig |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter self : Wandb in method package train_model(self Wandb, model Any) : void from class org.ludwig.contribs.wandb.Wandb |
ludwig/contribs/wandb.py |
| uber/ludwig |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter self : Wandb in method package train_init(self Wandb, experiment_directory Any, experiment_name Any, model_name Any, resume Any, output_directory Any) : void from class org.ludwig.contribs.wandb.Wandb |
ludwig/contribs/wandb.py |
| uber/ludwig |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter self : Wandb in method package visualize_figure(self Wandb, fig Any) : void from class org.ludwig.contribs.wandb.Wandb |
ludwig/contribs/wandb.py |
| uber/ludwig |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter self : Wandb in method package predict_end(self Wandb, stats Any) : void from class org.ludwig.contribs.wandb.Wandb |
ludwig/contribs/wandb.py |
| uber/ludwig |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter decoder : Any in method package build_vector_output(self VectorOutputFeature, targets Any, decoder Any, hidden Any, hidden_size Any, regularizer Any, dropout_rate Any, is_training Any) : void from class org.ludwig.features.vector_feature.VectorOutputFeature |
ludwig/features/vector_feature.py |
| uber/ludwig |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter dropout_rate : Any in method package build_vector_output(self VectorOutputFeature, targets Any, decoder Any, hidden Any, hidden_size Any, regularizer Any, dropout_rate Any, is_training Any) : void from class org.ludwig.features.vector_feature.VectorOutputFeature |
ludwig/features/vector_feature.py |
| uber/ludwig |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter is_training : Any in method package build_vector_output(self VectorOutputFeature, targets Any, decoder Any, hidden Any, hidden_size Any, regularizer Any, dropout_rate Any, is_training Any) : void from class org.ludwig.features.vector_feature.VectorOutputFeature |
ludwig/features/vector_feature.py |
| uber/ludwig |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter decoder : Any in method package vector_predictions(self VectorOutputFeature, decoder Any, hidden Any, hidden_size Any, regularizer Any, dropout_rate Any, is_training Any) : void from class org.ludwig.features.vector_feature.VectorOutputFeature |
ludwig/features/vector_feature.py |
| uber/ludwig |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter dropout_rate : Any in method package vector_predictions(self VectorOutputFeature, decoder Any, hidden Any, hidden_size Any, regularizer Any, dropout_rate Any, is_training Any) : void from class org.ludwig.features.vector_feature.VectorOutputFeature |
ludwig/features/vector_feature.py |
| uber/ludwig |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter is_training : Any in method package vector_predictions(self VectorOutputFeature, decoder Any, hidden Any, hidden_size Any, regularizer Any, dropout_rate Any, is_training Any) : void from class org.ludwig.features.vector_feature.VectorOutputFeature |
ludwig/features/vector_feature.py |
| uber/ludwig |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter most_common_words : Any in method package feature_meta(column Any, most_common_characters Any, most_common_words Any, lowercase Any) : void from class org.ludwig.features.text_feature.TextBaseFeature |
ludwig/features/text_feature.py |
| uber/ludwig |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter lowercase : Any in method package feature_meta(column Any, most_common_characters Any, most_common_words Any, lowercase Any) : void from class org.ludwig.features.text_feature.TextBaseFeature |
ludwig/features/text_feature.py |
| wkentaro/labelme |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter config_file : Any in method package get_config(config_from_args Any, config_file Any) : void from class org.labelme.config.__init__.PyDummyClass1 |
labelme/config/__init__.py |
| google/deepvariant |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter use_index : Any in method package __init__(self NativeSamReader, input_path Any, use_index Any, read_requirements Any, parse_aux_fields Any, hts_block_size Any, downsample_fraction Any, random_seed Any) : void from class org.third_party.nucleus.io.sam.NativeSamReader |
third_party/nucleus/io/sam.py |
| google/deepvariant |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter use_index : Any in method package __init__(self NativeVcfReader, input_path Any, use_index Any, excluded_info_fields Any, excluded_format_fields Any) : void from class org.third_party.nucleus.io.vcf.NativeVcfReader |
third_party/nucleus/io/vcf.py |
| ClimbsRocks/auto_ml |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter ensembler : Any in method package train(self Predictor, raw_training_data Any, user_input_func Any, optimize_entire_pipeline Any, optimize_final_model Any, write_gs_param_results_to_file Any, perform_feature_selection Any, verbose Any, X_test Any, y_test Any, print_training_summary_to_viewer Any, ml_for_analytics Any, only_analytics Any, compute_power Any, take_log_of_y Any, model_names Any, perform_feature_scaling Any, ensembler Any, calibrate_final_model Any, _include_original_X Any, _scorer Any, scoring Any, verify_features Any, training_params Any, grid_search_params Any) : void from class org.auto_ml.predictor.Predictor |
auto_ml/predictor.py |
| ClimbsRocks/auto_ml |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter _include_original_X : Any in method package train(self Predictor, raw_training_data Any, user_input_func Any, optimize_entire_pipeline Any, optimize_final_model Any, write_gs_param_results_to_file Any, perform_feature_selection Any, verbose Any, X_test Any, y_test Any, print_training_summary_to_viewer Any, ml_for_analytics Any, only_analytics Any, compute_power Any, take_log_of_y Any, model_names Any, perform_feature_scaling Any, ensembler Any, calibrate_final_model Any, _include_original_X Any, _scorer Any, scoring Any, verify_features Any, training_params Any, grid_search_params Any) : void from class org.auto_ml.predictor.Predictor |
auto_ml/predictor.py |
| ClimbsRocks/auto_ml |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter user_input_func : Any in method package ml_for_analytics(self Predictor, raw_training_data Any, user_input_func Any, optimize_entire_pipeline Any, optimize_final_model Any, write_gs_param_results_to_file Any, perform_feature_selection Any) : void from class org.auto_ml.predictor.Predictor |
auto_ml/predictor.py |
| ClimbsRocks/auto_ml |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter optimize_entire_pipeline : Any in method package ml_for_analytics(self Predictor, raw_training_data Any, user_input_func Any, optimize_entire_pipeline Any, optimize_final_model Any, write_gs_param_results_to_file Any, perform_feature_selection Any) : void from class org.auto_ml.predictor.Predictor |
auto_ml/predictor.py |
| ClimbsRocks/auto_ml |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter optimize_final_model : Any in method package ml_for_analytics(self Predictor, raw_training_data Any, user_input_func Any, optimize_entire_pipeline Any, optimize_final_model Any, write_gs_param_results_to_file Any, perform_feature_selection Any) : void from class org.auto_ml.predictor.Predictor |
auto_ml/predictor.py |
| ClimbsRocks/auto_ml |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter perform_feature_selection : Any in method package ml_for_analytics(self Predictor, raw_training_data Any, user_input_func Any, optimize_entire_pipeline Any, optimize_final_model Any, write_gs_param_results_to_file Any, perform_feature_selection Any) : void from class org.auto_ml.predictor.Predictor |
auto_ml/predictor.py |
| microsoft/nni |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter weight : Any in method package quantize_weight(self NaiveQuantizer, weight Any, wrapper Any) : void from class org.src.sdk.pynni.nni.compression.torch.quantization.quantizers.NaiveQuantizer |
src/sdk/pynni/nni/compression/torch/quantization/quantizers.py |
| microsoft/nni |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter weight : Any in method package quantize_weight(self QAT_Quantizer, weight Any, wrapper Any) : void from class org.src.sdk.pynni.nni.compression.torch.quantization.quantizers.QAT_Quantizer |
src/sdk/pynni/nni/compression/torch/quantization/quantizers.py |
| microsoft/nni |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter hidden_size : Any in method package __init__(self Net, hidden_size Any) : void from class org.examples.trials.mnist_pbt_tuner_pytorch.mnist.Net |
examples/trials/mnist-pbt-tuner-pytorch/mnist.py |
| microsoft/nni |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter optimize_mode : Any in method package __init__(self BatchTuner, optimize_mode Any) : void from class org.src.sdk.pynni.nni.batch_tuner.batch_tuner.BatchTuner |
src/sdk/pynni/nni/batch_tuner/batch_tuner.py |
| evilsocket/pwnagotchi |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter color : Any in method package Clear(self EPD, color Any) : void from class org.pwnagotchi.ui.hw.libs.waveshare.v213d.epd2in13d.EPD |
pwnagotchi/ui/hw/libs/waveshare/v213d/epd2in13d.py |
| hanxiao/bert-as-service |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter vocab : Any in method package __init__(self BenchmarkClient, vocab Any) : void from class org.benchmark.BenchmarkClient |
benchmark.py |
| hanxiao/bert-as-service |
Remove Parameter |
RefactoringLink | CommitLink | No |
Remove Parameter backend_socks : Any in method package _run(self BertServer, _ Any, frontend Any, sink Any, backend_socks Any) : void from class org.server.bert_serving.server.__init__.BertServer |
server/bert_serving/server/__init__.py |
| hanxiao/bert-as-service |
Remove Parameter |
RefactoringLink | CommitLink | No |
Remove Parameter receivers : Any in method package _run(self BertWorker, sink Any, receivers Any) : void from class org.server.bert_serving.server.__init__.BertWorker |
server/bert_serving/server/__init__.py |
| hanxiao/bert-as-service |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter backend_hprio : Any in method package _run(self BertServer, _ Any, frontend Any, sink Any, backend Any, backend_hprio Any) : void from class org.server.bert_serving.server.__init__.BertServer |
server/bert_serving/server/__init__.py |
| hanxiao/bert-as-service |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter worker_address_hprio : Any in method package __init__(self BertWorker, id Any, args Any, worker_address Any, worker_address_hprio Any, sink_address Any, device_id Any, graph_path Any) : void from class org.server.bert_serving.server.__init__.BertWorker |
server/bert_serving/server/__init__.py |
| hanxiao/bert-as-service |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter receiver_hprio : Any in method package _run(self BertWorker, receiver Any, receiver_hprio Any, sink Any) : void from class org.server.bert_serving.server.__init__.BertWorker |
server/bert_serving/server/__init__.py |
| asyml/texar |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter rank : Any in method package _test_sequence_loss(self PGLossesTest, loss_fn Any, actions Any, logits Any, advantages Any, rank Any, batched Any, sequence_length Any) : void from class org.texar.losses.pg_losses_test.PGLossesTest |
texar/losses/pg_losses_test.py |
| asyml/texar |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter vocab_size : Any in method package _make_output_layer_from_tensor(self TransformerDecoder, output_layer_tensor Any, vocab_size Any) : void from class org.texar.modules.decoders.transformer_decoders.TransformerDecoder |
texar/modules/decoders/transformer_decoders.py |
| asyml/texar |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter flatten_inputs : Any in method package _forward_single_output_layer(inputs Any, input_size Any, output_layer Any, flatten_inputs Any) : void from class org.texar.modules.encoders.rnn_encoders.PyDummyClass1 |
texar/modules/encoders/rnn_encoders.py |
| asyml/texar |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter rho : Any in method package train_d_step(self TSFClassifier, sess Any, batch Any, rho Any, gamma Any) : void from class org.texar.models.tsf.tsf_classifier.TSFClassifier |
texar/models/tsf/tsf_classifier.py |
| asyml/texar |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter gamma : Any in method package train_d_step(self TSFClassifier, sess Any, batch Any, rho Any, gamma Any) : void from class org.texar.models.tsf.tsf_classifier.TSFClassifier |
texar/models/tsf/tsf_classifier.py |
| asyml/texar |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter is_training : Any in method package multihead_attention(queries Any, keys Any, num_units Any, num_heads Any, dropout_rate Any, is_training Any, causality Any, scope Any, reuse Any) : void from class org.txtgen.core.layers.PyDummyClass1 |
txtgen/core/layers.py |
| asyml/texar |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter name : Any in method package __init__(self DataBaseBase, hparams Any, name Any) : void from class org.txtgen.data.database.DataBaseBase |
txtgen/data/database.py |
| asyml/texar |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter name : Any in method package __init__(self MonoTextDataBase, hparams Any, name Any) : void from class org.txtgen.data.database.MonoTextDataBase |
txtgen/data/database.py |
| asyml/texar |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter name : Any in method package __init__(self ConnectorBase, decoder_state_size Any, hparams Any, name Any) : void from class org.txtgen.modules.connectors.connector_base.ConnectorBase |
txtgen/modules/connectors/connector_base.py |
| NTMC-Community/MatchZoo |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter remove_diagonal : Any in method package __init__(self AttentionLayer, att_dim Any, att_type Any, remove_diagonal Any, dropout_rate Any) : void from class org.matchzoo.contrib.layers.attention_layer.AttentionLayer |
matchzoo/contrib/layers/attention_layer.py |
| NTMC-Community/MatchZoo |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter train_data_processed : Any in method package test_dssm(train_data_processed Any, task Any, train_generator Any, test_generator Any, cdssm_preprocessor Any) : void from class org.tests.inte_test.test_cdssm.PyDummyClass1 |
tests/inte_test/test_cdssm.py |
| NTMC-Community/MatchZoo |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter task : Any in method package tune(model Any, train_pack Any, test_pack Any, task Any, context Any, max_evals Any, verbose Any) : void from class org.matchzoo.auto.tune.PyDummyClass1 |
matchzoo/auto/tune.py |
| NTMC-Community/MatchZoo |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter context : Any in method package tune(model Any, train_pack Any, test_pack Any, task Any, context Any, max_evals Any, verbose Any) : void from class org.matchzoo.auto.tune.PyDummyClass1 |
matchzoo/auto/tune.py |
| NTMC-Community/MatchZoo |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter dim_triletter : Any in method package __init__(self WordHashingUnit, term_index Any, dim_triletter Any) : void from class org.matchzoo.preprocessor.process_units.WordHashingUnit |
matchzoo/preprocessor/process_units.py |
| Unity-Technologies/ml-agents |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter self : LearningModel in method package create_visual_observation_encoder(self LearningModel, image_input Any, h_size Any, activation Any, num_layers Any, scope Any, reuse Any) : void from class org.ml_agents.mlagents.trainers.models.LearningModel |
ml-agents/mlagents/trainers/models.py |
| Unity-Technologies/ml-agents |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter self : LearningModel in method package create_nature_cnn_visual_observation_encoder(self LearningModel, image_input Any, h_size Any, activation Any, num_layers Any, scope Any, reuse Any) : void from class org.ml_agents.mlagents.trainers.models.LearningModel |
ml-agents/mlagents/trainers/models.py |
| Unity-Technologies/ml-agents |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter self : LearningModel in method package create_resnet_visual_observation_encoder(self LearningModel, image_input Any, h_size Any, activation Any, num_layers Any, scope Any, reuse Any) : void from class org.ml_agents.mlagents.trainers.models.LearningModel |
ml-agents/mlagents/trainers/models.py |
| Unity-Technologies/ml-agents |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter steps : Any in method package save_model(self Trainer, steps Any) : void from class org.ml_agents.mlagents.trainers.trainer.Trainer |
ml-agents/mlagents/trainers/trainer.py |
| Unity-Technologies/ml-agents |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter sess : Any in method package __init__(self Policy, seed Any, brain Any, trainer_parameters Any, sess Any) : void from class org.ml_agents.mlagents.trainers.policy.Policy |
ml-agents/mlagents/trainers/policy.py |
| Unity-Technologies/ml-agents |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter sess : Any in method package __init__(self Trainer, sess Any, brain_name Any, trainer_parameters Any, training Any, run_id Any) : void from class org.ml_agents.mlagents.trainers.trainer.Trainer |
ml-agents/mlagents/trainers/trainer.py |
| Unity-Technologies/ml-agents |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter sess : Any in method package _initialize_trainers(self TrainerController, trainer_config Any, sess Any) : void from class org.ml_agents.mlagents.trainers.trainer_controller.TrainerController |
ml-agents/mlagents/trainers/trainer_controller.py |
| OpenNMT/OpenNMT-py |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter batch_size : Any in method package __init__(self Trainer, model Any, train_iter Any, valid_iter Any, train_loss Any, valid_loss Any, optim Any, batch_size Any, gpuid Any, truncated_decoder Any, max_generator_batches Any) : void from class org.onmt.Trainer.Trainer |
onmt/Trainer.py |
| OpenNMT/OpenNMT-py |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter epoch : Any in method package __init__(self LossCompute, generator Any, crit Any, tgt_vocab Any, dataset Any, epoch Any, copy_attn Any) : void from class org.onmt.Loss.LossCompute |
onmt/Loss.py |
| deepmipt/DeepPavlov |
Remove Parameter |
RefactoringLink | CommitLink | Yes |
Remove Parameter num_context_turns : Any in method package __init__(self DAMNetwork, embedding_dim Any, num_context_turns Any, max_sequence_length Any, learning_rate Any, emb_matrix Any, trainable_embeddings Any, is_positional Any, filters2_conv3d Any, stack_num Any, seed Any, decay_steps Any) : void from class org.deeppavlov.models.ranking.deep_attention_matching_network.DAMNetwork |
deeppavlov/models/ranking/deep_attention_matching_network.py |