| Project |
RefactoringType |
RefactoringLink |
CommitLink |
TrueRefactoring? |
Description |
File |
| keras-team/keras |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter interpolation_order : Any in method package __init__(self ImageDataGenerator, featurewise_center Any, samplewise_center Any, featurewise_std_normalization Any, samplewise_std_normalization Any, zca_whitening Any, zca_epsilon Any, rotation_range Any, width_shift_range Any, height_shift_range Any, brightness_range Any, shear_range Any, zoom_range Any, channel_shift_range Any, fill_mode Any, cval Any, horizontal_flip Any, vertical_flip Any, rescale Any, preprocessing_function Any, data_format Any, validation_split Any, interpolation_order Any, dtype Any) : void from class org.keras.preprocessing.image.ImageDataGenerator |
keras/preprocessing/image.py |
| keras-team/keras |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter dtype : Any in method package test_setfloatx_correct_values(self TestBackend, dtype Any) : void from class org.tests.keras.backend.backend_test.TestBackend |
tests/keras/backend/backend_test.py |
| keras-team/keras |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter sources_dir : Any in method package generate(sources_dir Any) : void from class org.docs.autogen.PyDummyClass1 |
docs/autogen.py |
| keras-team/keras |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter examples_dir : Any in method package copy_examples(examples_dir Any, destination_dir Any) : void from class org.docs.autogen.PyDummyClass1 |
docs/autogen.py |
| keras-team/keras |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter destination_dir : Any in method package copy_examples(examples_dir Any, destination_dir Any) : void from class org.docs.autogen.PyDummyClass1 |
docs/autogen.py |
| keras-team/keras |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter docs_descriptor : Any in method package test_doc_lists(docs_descriptor Any) : void from class org.tests.test_doc_auto_generation.PyDummyClass1 |
tests/test_doc_auto_generation.py |
| keras-team/keras |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter expand_nested : Any in method package model_to_dot(model Any, show_shapes Any, show_layer_names Any, rankdir Any, expand_nested Any, dpi Any, subgraph Any) : void from class org.keras.utils.vis_utils.PyDummyClass1 |
keras/utils/vis_utils.py |
| keras-team/keras |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter dpi : Any in method package model_to_dot(model Any, show_shapes Any, show_layer_names Any, rankdir Any, expand_nested Any, dpi Any, subgraph Any) : void from class org.keras.utils.vis_utils.PyDummyClass1 |
keras/utils/vis_utils.py |
| keras-team/keras |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter subgraph : Any in method package model_to_dot(model Any, show_shapes Any, show_layer_names Any, rankdir Any, expand_nested Any, dpi Any, subgraph Any) : void from class org.keras.utils.vis_utils.PyDummyClass1 |
keras/utils/vis_utils.py |
| keras-team/keras |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter expand_nested : Any in method package plot_model(model Any, to_file Any, show_shapes Any, show_layer_names Any, rankdir Any, expand_nested Any, dpi Any) : void from class org.keras.utils.vis_utils.PyDummyClass1 |
keras/utils/vis_utils.py |
| keras-team/keras |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter dpi : Any in method package plot_model(model Any, to_file Any, show_shapes Any, show_layer_names Any, rankdir Any, expand_nested Any, dpi Any) : void from class org.keras.utils.vis_utils.PyDummyClass1 |
keras/utils/vis_utils.py |
| keras-team/keras |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter metric : Any in method package test_metrics(metric Any) : void from class org.tests.keras.metrics_test.PyDummyClass1 |
tests/keras/metrics_test.py |
| keras-team/keras |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter metric : Any in method package test_sparse_metrics(metric Any) : void from class org.tests.keras.metrics_test.PyDummyClass1 |
tests/keras/metrics_test.py |
| keras-team/keras |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter update_freq : Any in method package __init__(self TensorBoard, log_dir Any, histogram_freq Any, batch_size Any, write_graph Any, write_grads Any, write_images Any, embeddings_freq Any, embeddings_layer_names Any, embeddings_metadata Any, embeddings_data Any, update_freq Any) : void from class org.keras.callbacks.TensorBoard |
keras/callbacks.py |
| keras-team/keras |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter update_freq : Any in method package test_TensorBoard(tmpdir Any, update_freq Any) : void from class org.tests.keras.test_callbacks.PyDummyClass1 |
tests/keras/test_callbacks.py |
| pymc-devs/pymc3 |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter keep_untransformed : Any in method package sample_numpyro_nuts(draws Any, tune Any, chains Any, target_accept Any, random_seed Any, model Any, progress_bar Any, keep_untransformed Any) : void from class org.pymc3.sampling_jax.PyDummyClass1 |
pymc3/sampling_jax.py |
| pymc-devs/pymc3 |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter logp_dlogp_func : Any in method package __init__(self GradientSharedStep, vars Any, model Any, blocked Any, dtype Any, logp_dlogp_func Any) : void from class org.pymc3.step_methods.arraystep.GradientSharedStep |
pymc3/step_methods/arraystep.py |
| rail-berkeley/softlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter xml_file : Any in method package __init__(self AntEnv, xml_file Any, ctrl_cost_weight Any, contact_cost_weight Any, healthy_reward Any, terminate_when_unhealthy Any, healthy_z_range Any, contact_force_range Any, reset_noise_scale Any, exclude_current_positions_from_observation Any) : void from class org.softlearning.environments.gym.mujoco.ant_env.AntEnv |
softlearning/environments/gym/mujoco/ant_env.py |
| rail-berkeley/softlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter xml_file : Any in method package __init__(self HalfCheetahEnv, xml_file Any, forward_reward_weight Any, ctrl_cost_weight Any, reset_noise_scale Any, exclude_current_positions_from_observation Any) : void from class org.softlearning.environments.gym.mujoco.half_cheetah_env.HalfCheetahEnv |
softlearning/environments/gym/mujoco/half_cheetah_env.py |
| rail-berkeley/softlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter xml_file : Any in method package __init__(self HopperEnv, xml_file Any, forward_reward_weight Any, ctrl_cost_weight Any, healthy_reward Any, terminate_when_unhealthy Any, healthy_state_range Any, healthy_z_range Any, healthy_angle_range Any, reset_noise_scale Any, exclude_current_positions_from_observation Any) : void from class org.softlearning.environments.gym.mujoco.hopper_env.HopperEnv |
softlearning/environments/gym/mujoco/hopper_env.py |
| rail-berkeley/softlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter xml_file : Any in method package __init__(self HumanoidEnv, xml_file Any, forward_reward_weight Any, ctrl_cost_weight Any, contact_cost_weight Any, contact_cost_range Any, healthy_reward Any, terminate_when_unhealthy Any, healthy_z_range Any, reset_noise_scale Any, exclude_current_positions_from_observation Any) : void from class org.softlearning.environments.gym.mujoco.humanoid_env.HumanoidEnv |
softlearning/environments/gym/mujoco/humanoid_env.py |
| rail-berkeley/softlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter xml_file : Any in method package __init__(self SwimmerEnv, xml_file Any, forward_reward_weight Any, ctrl_cost_weight Any, reset_noise_scale Any, exclude_current_positions_from_observation Any) : void from class org.softlearning.environments.gym.mujoco.swimmer_env.SwimmerEnv |
softlearning/environments/gym/mujoco/swimmer_env.py |
| rail-berkeley/softlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter xml_file : Any in method package __init__(self Walker2dEnv, xml_file Any, forward_reward_weight Any, ctrl_cost_weight Any, healthy_reward Any, terminate_when_unhealthy Any, healthy_z_range Any, healthy_angle_range Any, reset_noise_scale Any, exclude_current_positions_from_observation Any) : void from class org.softlearning.environments.gym.mujoco.walker2d_env.Walker2dEnv |
softlearning/environments/gym/mujoco/walker2d_env.py |
| rail-berkeley/softlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter algorithm : Any in method package get_variant_spec(universe Any, domain Any, task Any, policy Any, algorithm Any) : void from class org.examples.development.variants.PyDummyClass1 |
examples/development/variants.py |
| rail-berkeley/softlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter algorithm : Any in method package get_variant_spec_image(universe Any, domain Any, task Any, policy Any, algorithm Any) : void from class org.examples.development.variants.PyDummyClass1 |
examples/development/variants.py |
| rail-berkeley/softlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter tau : Any in method package _update_target(self SQL, tau Any) : void from class org.softlearning.algorithms.sql.SQL |
softlearning/algorithms/sql.py |
| rail-berkeley/softlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter tau : Any in method package __init__(self SQL, env Any, pool Any, Q Any, policy Any, plotter Any, policy_lr Any, Q_lr Any, value_n_particles Any, td_target_update_interval Any, kernel_fn Any, kernel_n_particles Any, kernel_update_ratio Any, discount Any, tau Any, reward_scale Any, use_saved_Q Any, use_saved_policy Any, save_full_state Any, train_Q Any, train_policy Any) : void from class org.softlearning.algorithms.sql.SQL |
softlearning/algorithms/sql.py |
| rail-berkeley/softlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter reset_noise_scale : Any in method package __init__(self AntEnv, ctrl_cost_weight Any, contact_cost_weight Any, healthy_reward Any, terminate_when_unhealthy Any, healthy_z_range Any, contact_force_range Any, reset_noise_scale Any, exclude_current_positions_from_observation Any) : void from class org.softlearning.environments.gym.mujoco.ant_env.AntEnv |
softlearning/environments/gym/mujoco/ant_env.py |
| rail-berkeley/softlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter reset_noise_scale : Any in method package __init__(self HalfCheetahEnv, forward_reward_weight Any, ctrl_cost_weight Any, reset_noise_scale Any, exclude_current_positions_from_observation Any) : void from class org.softlearning.environments.gym.mujoco.half_cheetah_env.HalfCheetahEnv |
softlearning/environments/gym/mujoco/half_cheetah_env.py |
| rail-berkeley/softlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter reset_noise_scale : Any in method package __init__(self HopperEnv, forward_reward_weight Any, ctrl_cost_weight Any, healthy_reward Any, terminate_when_unhealthy Any, healthy_state_range Any, healthy_z_range Any, healthy_angle_range Any, reset_noise_scale Any, exclude_current_positions_from_observation Any) : void from class org.softlearning.environments.gym.mujoco.hopper_env.HopperEnv |
softlearning/environments/gym/mujoco/hopper_env.py |
| rail-berkeley/softlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter reset_noise_scale : Any in method package __init__(self HumanoidEnv, forward_reward_weight Any, ctrl_cost_weight Any, contact_cost_weight Any, contact_cost_range Any, healthy_reward Any, terminate_when_unhealthy Any, healthy_z_range Any, reset_noise_scale Any, exclude_current_positions_from_observation Any) : void from class org.softlearning.environments.gym.mujoco.humanoid_env.HumanoidEnv |
softlearning/environments/gym/mujoco/humanoid_env.py |
| rail-berkeley/softlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter reset_noise_scale : Any in method package __init__(self SwimmerEnv, forward_reward_weight Any, ctrl_cost_weight Any, reset_noise_scale Any, exclude_current_positions_from_observation Any) : void from class org.softlearning.environments.gym.mujoco.swimmer_env.SwimmerEnv |
softlearning/environments/gym/mujoco/swimmer_env.py |
| rail-berkeley/softlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter reset_noise_scale : Any in method package __init__(self Walker2dEnv, forward_reward_weight Any, ctrl_cost_weight Any, healthy_reward Any, terminate_when_unhealthy Any, healthy_z_range Any, healthy_angle_range Any, reset_noise_scale Any, exclude_current_positions_from_observation Any) : void from class org.softlearning.environments.gym.mujoco.walker2d_env.Walker2dEnv |
softlearning/environments/gym/mujoco/walker2d_env.py |
| CyberZHG/keras-bert |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter weight_decay : Any in method package get_model(token_num Any, pos_num Any, seq_len Any, embed_dim Any, transformer_num Any, head_num Any, feed_forward_dim Any, dropout_rate Any, weight_decay Any, attention_activation Any, feed_forward_activation Any, custom_layers Any, training Any, trainable Any, lr Any) : void from class org.keras_bert.bert.PyDummyClass1 |
keras_bert/bert.py |
| CyberZHG/keras-bert |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter layers : Any in method package __init__(self Wrapper, layers Any) : void from class org.keras_bert.layers.wrapper.Wrapper |
keras_bert/layers/wrapper.py |
| shijieS/SST |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter use_gpu : Any in method package __init__(self SST, phase Any, base Any, extras Any, selector Any, final_net Any, use_gpu Any) : void from class org.layer.sst.SST |
layer/sst.py |
| shijieS/SST |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter use_gpu : Any in method package build_sst(phase Any, size Any, use_gpu Any) : void from class org.layer.sst.PyDummyClass1 |
layer/sst.py |
| YerevaNN/mimic3-benchmarks |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter args : Any in method package move_to_partition(args Any, patients Any, partition Any) : void from class org.scripts.split_train_and_test.PyDummyClass1 |
scripts/split_train_and_test.py |
| YerevaNN/mimic3-benchmarks |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter return_names : Any in method package __init__(self BatchGen, reader Any, discretizer Any, normalizer Any, batch_size Any, steps Any, shuffle Any, return_names Any) : void from class org.mimic3models.decompensation.utils.BatchGen |
mimic3models/decompensation/utils.py |
| YerevaNN/mimic3-benchmarks |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter return_names : Any in method package __init__(self BatchGenDeepSupervisoin, dataloader Any, discretizer Any, normalizer Any, batch_size Any, shuffle Any, return_names Any) : void from class org.mimic3models.decompensation.utils.BatchGenDeepSupervisoin |
mimic3models/decompensation/utils.py |
| kk7nc/RMDL |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter no_of_classes : Any in method package Text_Classification(x_train Any, y_train Any, x_test Any, y_test Any, batch_size Any, EMBEDDING_DIM Any, MAX_SEQUENCE_LENGTH Any, MAX_NB_WORDS Any, GloVe_dir Any, GloVe_file Any, sparse_categorical Any, random_deep Any, epochs Any, plot Any, min_hidden_layer_dnn Any, max_hidden_layer_dnn Any, min_nodes_dnn Any, max_nodes_dnn Any, min_hidden_layer_rnn Any, max_hidden_layer_rnn Any, min_nodes_rnn Any, max_nodes_rnn Any, min_hidden_layer_cnn Any, max_hidden_layer_cnn Any, min_nodes_cnn Any, max_nodes_cnn Any, random_state Any, random_optimizor Any, dropout Any, no_of_classes Any) : void from class org.RMDL.RMDL_Text.PyDummyClass1 |
RMDL/RMDL_Text.py |
| kk7nc/RMDL |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter GloVe_needed : Any in method package setup(text Any, GloVe_needed Any) : void from class org.RMDL.Global.PyDummyClass1 |
RMDL/Global.py |
| kk7nc/RMDL |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter text : Any in method package setup(text Any) : void from class org.RMDL.Global.PyDummyClass1 |
RMDL/Global.py |
| Kamnitsask/deepmedic |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter abs_path : Any in method package get_paths_from_csv(csv Any, abs_path Any, no_target_okay Any) : void from class org.deepmedic.frontEnd.configParsing.utils.PyDummyClass1 |
deepmedic/frontEnd/configParsing/utils.py |
| Kamnitsask/deepmedic |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter p_y_given_x : Any in method package compute_costs(self Trainer, log Any, p_y_given_x Any) : void from class org.deepmedic.neuralnet.trainer.Trainer |
deepmedic/neuralnet/trainer.py |
| Kamnitsask/deepmedic |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter unpred_margin : Any in method package get_samples_for_subepoch(log Any, train_val_or_test Any, num_parallel_proc Any, run_input_checks Any, cnn3d Any, max_n_cases_per_subep Any, n_samples_per_subep Any, sampling_type Any, inp_shapes_per_path Any, outp_pred_dims Any, unpred_margin Any, paths_per_chan_per_subj Any, paths_to_lbls_per_subj Any, paths_to_masks_per_subj Any, paths_to_wmaps_per_sampl_cat_per_subj Any, pad_input_imgs Any, norm_prms Any, augm_img_prms Any, augm_sample_prms Any) : void from class org.deepmedic.dataManagement.sampling.PyDummyClass1 |
deepmedic/dataManagement/sampling.py |
| Kamnitsask/deepmedic |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter unpred_margin : Any in method package load_subj_and_sample(job_idx Any, log Any, train_val_or_test Any, run_input_checks Any, cnn3d Any, sampling_type Any, paths_per_chan_per_subj Any, paths_to_lbls_per_subj Any, paths_to_masks_per_subj Any, paths_to_wmaps_per_sampl_cat_per_subj Any, pad_input_imgs Any, norm_prms Any, augm_img_prms Any, augm_sample_prms Any, n_subjs_for_subep Any, idxs_of_subjs_for_subep Any, n_samples_per_subj Any, inp_shapes_per_path Any, outp_pred_dims Any, unpred_margin Any) : void from class org.deepmedic.dataManagement.sampling.PyDummyClass1 |
deepmedic/dataManagement/sampling.py |
| Kamnitsask/deepmedic |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter unpred_margin : Any in method package predict_whole_volume_by_tiling(log Any, sessionTf Any, cnn3d Any, channels Any, roi_mask Any, inp_shapes_per_path Any, unpred_margin 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 |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter outp_pred_dims : Any in method package get_samples_for_subepoch(log Any, train_val_or_test Any, num_parallel_proc Any, run_input_checks Any, cnn3d Any, max_n_cases_per_subep Any, n_samples_per_subep Any, sampling_type Any, inp_shapes_per_path Any, outp_pred_dims Any, paths_per_chan_per_subj Any, paths_to_lbls_per_subj Any, paths_to_masks_per_subj Any, paths_to_wmaps_per_sampl_cat_per_subj Any, pad_input_imgs Any, norm_prms Any, augm_img_prms Any, augm_sample_prms Any) : void from class org.deepmedic.dataManagement.sampling.PyDummyClass1 |
deepmedic/dataManagement/sampling.py |
| Kamnitsask/deepmedic |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter outp_pred_dims : Any in method package load_subj_and_sample(job_idx Any, log Any, train_val_or_test Any, run_input_checks Any, cnn3d Any, sampling_type Any, paths_per_chan_per_subj Any, paths_to_lbls_per_subj Any, paths_to_masks_per_subj Any, paths_to_wmaps_per_sampl_cat_per_subj Any, pad_input_imgs Any, norm_prms Any, augm_img_prms Any, augm_sample_prms Any, n_subjs_for_subep Any, idxs_of_subjs_for_subep Any, n_samples_per_subj Any, inp_shapes_per_path Any, outp_pred_dims Any) : void from class org.deepmedic.dataManagement.sampling.PyDummyClass1 |
deepmedic/dataManagement/sampling.py |
| Kamnitsask/deepmedic |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter outp_pred_dims : Any in method package extractSegmentGivenSliceCoords(train_val_or_test Any, cnn3d Any, coord_center Any, channels Any, gt_lbl_img Any, inp_shapes_per_path Any, outp_pred_dims Any) : void from class org.deepmedic.dataManagement.sampling.PyDummyClass1 |
deepmedic/dataManagement/sampling.py |
| Kamnitsask/deepmedic |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter outp_pred_dims : Any in method package extractSegmentsGivenSliceCoords(cnn3d Any, sliceCoordsOfSegmentsToExtract Any, channelsOfImageNpArray Any, recFieldCnn Any, inp_shapes_per_path Any, outp_pred_dims Any) : void from class org.deepmedic.dataManagement.sampling.PyDummyClass1 |
deepmedic/dataManagement/sampling.py |
| Kamnitsask/deepmedic |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter inp_shapes_per_path : Any in method package get_samples_for_subepoch(log Any, train_val_or_test Any, num_parallel_proc Any, run_input_checks Any, cnn3d Any, max_n_cases_per_subep Any, n_samples_per_subep Any, sampling_type Any, inp_shapes_per_path Any, paths_per_chan_per_subj Any, paths_to_lbls_per_subj Any, paths_to_masks_per_subj Any, paths_to_wmaps_per_sampl_cat_per_subj Any, pad_input_imgs Any, norm_prms Any, augm_img_prms Any, augm_sample_prms Any) : void from class org.deepmedic.dataManagement.sampling.PyDummyClass1 |
deepmedic/dataManagement/sampling.py |
| Kamnitsask/deepmedic |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter inp_shapes_per_path : Any in method package load_subj_and_sample(job_idx Any, log Any, train_val_or_test Any, run_input_checks Any, cnn3d Any, sampling_type Any, paths_per_chan_per_subj Any, paths_to_lbls_per_subj Any, paths_to_masks_per_subj Any, paths_to_wmaps_per_sampl_cat_per_subj Any, pad_input_imgs Any, norm_prms Any, augm_img_prms Any, augm_sample_prms Any, n_subjs_for_subep Any, idxs_of_subjs_for_subep Any, n_samples_per_subj Any, inp_shapes_per_path Any) : void from class org.deepmedic.dataManagement.sampling.PyDummyClass1 |
deepmedic/dataManagement/sampling.py |
| Kamnitsask/deepmedic |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter inp_shapes_per_path : Any in method package extractSegmentGivenSliceCoords(train_val_or_test Any, cnn3d Any, coord_center Any, channels Any, gt_lbl_img Any, inp_shapes_per_path Any) : void from class org.deepmedic.dataManagement.sampling.PyDummyClass1 |
deepmedic/dataManagement/sampling.py |
| Kamnitsask/deepmedic |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter inp_shapes_per_path : Any in method package extractSegmentsGivenSliceCoords(cnn3d Any, sliceCoordsOfSegmentsToExtract Any, channelsOfImageNpArray Any, recFieldCnn Any, inp_shapes_per_path Any) : void from class org.deepmedic.dataManagement.sampling.PyDummyClass1 |
deepmedic/dataManagement/sampling.py |
| Kamnitsask/deepmedic |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter inp_shapes_per_path : Any in method package _setup_inp_plchldrs(self Cnn3d, train_val_test Any, inp_shapes_per_path Any) : void from class org.deepmedic.neuralnet.cnn3d.Cnn3d |
deepmedic/neuralnet/cnn3d.py |
| Kamnitsask/deepmedic |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter inp_shapes_per_path : Any in method package predict_whole_volume_by_tiling(log Any, sessionTf Any, cnn3d Any, channels Any, roi_mask Any, inp_shapes_per_path 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 |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter inp_shapes_per_path : Any in method package inference_on_whole_volumes(sessionTf Any, cnn3d Any, log Any, val_or_test Any, savePredictedSegmAndProbsDict Any, paths_per_chan_per_subj Any, paths_to_lbls_per_subj Any, paths_to_masks_per_subj Any, namesForSavingSegmAndProbs Any, suffixForSegmAndProbsDict Any, batchsize Any, run_input_checks Any, pad_input Any, norm_prms Any, save_fms_flag Any, idxs_fms_to_save Any, namesForSavingFms Any, inp_shapes_per_path Any) : void from class org.deepmedic.routines.testing.PyDummyClass1 |
deepmedic/routines/testing.py |
| Kamnitsask/deepmedic |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter inp_shapes_per_path_train : Any in method package do_training(sessionTf Any, saver_all Any, cnn3d Any, trainer Any, tensorboard_loggers Any, log Any, fileToSaveTrainedCnnModelTo Any, val_on_samples Any, savePredictedSegmAndProbsDict Any, namesForSavingSegmAndProbs Any, suffixForSegmAndProbsDict Any, paths_per_chan_per_subj_train Any, paths_per_chan_per_subj_val Any, paths_to_lbls_per_subj_train Any, paths_to_lbls_per_subj_val Any, paths_to_wmaps_per_sampl_cat_per_subj_train Any, paths_to_wmaps_per_sampl_cat_per_subj_val Any, paths_to_masks_per_subj_train Any, paths_to_masks_per_subj_val Any, n_epochs Any, n_subepochs Any, max_n_cases_per_subep_train Any, n_samples_per_subep_train Any, n_samples_per_subep_val Any, num_parallel_proc_sampling Any, sampling_type_inst_tr Any, sampling_type_inst_val Any, batchsize_train Any, batchsize_val_samples Any, batchsize_val_whole Any, augm_img_prms Any, augm_sample_prms Any, val_on_whole_volumes Any, n_epochs_between_val_on_whole_vols Any, save_fms_flag Any, idxs_fms_to_save Any, namesForSavingFms Any, run_input_checks Any, pad_input Any, norm_prms Any, inp_shapes_per_path_train Any, inp_shapes_per_path_val Any, inp_shapes_per_path_test Any) : void from class org.deepmedic.routines.training.PyDummyClass1 |
deepmedic/routines/training.py |
| Kamnitsask/deepmedic |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter inp_shapes_per_path_val : Any in method package do_training(sessionTf Any, saver_all Any, cnn3d Any, trainer Any, tensorboard_loggers Any, log Any, fileToSaveTrainedCnnModelTo Any, val_on_samples Any, savePredictedSegmAndProbsDict Any, namesForSavingSegmAndProbs Any, suffixForSegmAndProbsDict Any, paths_per_chan_per_subj_train Any, paths_per_chan_per_subj_val Any, paths_to_lbls_per_subj_train Any, paths_to_lbls_per_subj_val Any, paths_to_wmaps_per_sampl_cat_per_subj_train Any, paths_to_wmaps_per_sampl_cat_per_subj_val Any, paths_to_masks_per_subj_train Any, paths_to_masks_per_subj_val Any, n_epochs Any, n_subepochs Any, max_n_cases_per_subep_train Any, n_samples_per_subep_train Any, n_samples_per_subep_val Any, num_parallel_proc_sampling Any, sampling_type_inst_tr Any, sampling_type_inst_val Any, batchsize_train Any, batchsize_val_samples Any, batchsize_val_whole Any, augm_img_prms Any, augm_sample_prms Any, val_on_whole_volumes Any, n_epochs_between_val_on_whole_vols Any, save_fms_flag Any, idxs_fms_to_save Any, namesForSavingFms Any, run_input_checks Any, pad_input Any, norm_prms Any, inp_shapes_per_path_train Any, inp_shapes_per_path_val Any, inp_shapes_per_path_test Any) : void from class org.deepmedic.routines.training.PyDummyClass1 |
deepmedic/routines/training.py |
| Kamnitsask/deepmedic |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter inp_shapes_per_path_test : Any in method package do_training(sessionTf Any, saver_all Any, cnn3d Any, trainer Any, tensorboard_loggers Any, log Any, fileToSaveTrainedCnnModelTo Any, val_on_samples Any, savePredictedSegmAndProbsDict Any, namesForSavingSegmAndProbs Any, suffixForSegmAndProbsDict Any, paths_per_chan_per_subj_train Any, paths_per_chan_per_subj_val Any, paths_to_lbls_per_subj_train Any, paths_to_lbls_per_subj_val Any, paths_to_wmaps_per_sampl_cat_per_subj_train Any, paths_to_wmaps_per_sampl_cat_per_subj_val Any, paths_to_masks_per_subj_train Any, paths_to_masks_per_subj_val Any, n_epochs Any, n_subepochs Any, max_n_cases_per_subep_train Any, n_samples_per_subep_train Any, n_samples_per_subep_val Any, num_parallel_proc_sampling Any, sampling_type_inst_tr Any, sampling_type_inst_val Any, batchsize_train Any, batchsize_val_samples Any, batchsize_val_whole Any, augm_img_prms Any, augm_sample_prms Any, val_on_whole_volumes Any, n_epochs_between_val_on_whole_vols Any, save_fms_flag Any, idxs_fms_to_save Any, namesForSavingFms Any, run_input_checks Any, pad_input Any, norm_prms Any, inp_shapes_per_path_train Any, inp_shapes_per_path_val Any, inp_shapes_per_path_test Any) : void from class org.deepmedic.routines.training.PyDummyClass1 |
deepmedic/routines/training.py |
| Kamnitsask/deepmedic |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter inp_plchldrs_train : Any in method package setup_ops_n_feeds_to_train(self Cnn3d, log Any, inp_plchldrs_train Any, total_cost Any, updates_of_params_wrt_total_cost Any) : void from class org.deepmedic.neuralnet.cnn3d.Cnn3d |
deepmedic/neuralnet/cnn3d.py |
| Kamnitsask/deepmedic |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter inp_plchldrs_val : Any in method package setup_ops_n_feeds_to_val(self Cnn3d, log Any, inp_plchldrs_val Any) : void from class org.deepmedic.neuralnet.cnn3d.Cnn3d |
deepmedic/neuralnet/cnn3d.py |
| Kamnitsask/deepmedic |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter inp_plchldrs_test : Any in method package setup_ops_n_feeds_to_test(self Cnn3d, log Any, inp_plchldrs_test Any, indices_fms_per_pathtype_per_layer_to_save Any) : void from class org.deepmedic.neuralnet.cnn3d.Cnn3d |
deepmedic/neuralnet/cnn3d.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter sc_path : Any in method package distribute_presets(sc_path Any, prefixes Any, scaffolding Any, config_updates Any) : void from class org.sacred.initialize.PyDummyClass1 |
sacred/initialize.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter metadata : Any in method package add_artifact(self Experiment, filename Any, name Any, metadata Any) : void from class org.sacred.experiment.Experiment |
sacred/experiment.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter metadata : Any in method package artifact_event(self MongoObserver, name Any, filename Any, metadata Any) : void from class org.sacred.observers.mongo.MongoObserver |
sacred/observers/mongo.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter metadata : Any in method package add_artifact(self Run, filename Any, name Any, metadata Any) : void from class org.sacred.run.Run |
sacred/run.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter metadata : Any in method package _emit_artifact_added(self Run, name Any, filename Any, metadata Any) : void from class org.sacred.run.Run |
sacred/run.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter client : Any in method package create(url Any, db_name Any, collection Any, overwrite Any, priority Any, client Any) : void from class org.sacred.observers.mongo.MongoObserver |
sacred/observers/mongo.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter mode : Any in method package open_resource(self Experiment, filename Any, mode Any) : void from class org.sacred.experiment.Experiment |
sacred/experiment.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter mode : Any in method package open_resource(self Run, filename Any, mode Any) : void from class org.sacred.run.Run |
sacred/run.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter root : Any in method package __init__(self TinyDbObserver, db Any, fs Any, overwrite Any, root Any) : void from class org.sacred.observers.tinydb_hashfs.TinyDbObserver |
sacred/observers/tinydb_hashfs.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter template : Any in method package __init__(self FileStorageObserver, basedir Any, resource_dir Any, source_dir Any, template Any) : void from class org.sacred.observers.file_storage.FileStorageObserver |
sacred/observers/file_storage.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter resource_dir : Any in method package __init__(self FileStorageObserver, basedir Any, resource_dir Any) : void from class org.sacred.observers.file_storage.FileStorageObserver |
sacred/observers/file_storage.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter obj : Any in method package save_json(self FlatfileObserver, obj Any, filename Any) : void from class org.sacred.observers.flatfile.FlatfileObserver |
sacred/observers/flatfile.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter filename : Any in method package save_json(self FlatfileObserver, obj Any, filename Any) : void from class org.sacred.observers.flatfile.FlatfileObserver |
sacred/observers/flatfile.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter command : Any in method package started_event(self RunObserver, ex_info Any, command Any, host_info Any, start_time Any, config Any, meta_info Any) : void from class org.sacred.observers.base.RunObserver |
sacred/observers/base.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter command : Any in method package started_event(self MongoObserver, ex_info Any, command Any, host_info Any, start_time Any, config Any, meta_info Any) : void from class org.sacred.observers.mongo.MongoObserver |
sacred/observers/mongo.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter overwrite : Any in method package create(url Any, db_name Any, prefix Any, overwrite Any) : void from class org.sacred.observers.mongo.MongoObserver |
sacred/observers/mongo.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter overwrite : Any in method package __init__(self MongoObserver, runs_collection Any, fs Any, overwrite Any) : void from class org.sacred.observers.mongo.MongoObserver |
sacred/observers/mongo.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter command : Any in method package queued_event(self RunObserver, ex_info Any, command Any, queue_time Any, config Any, comment Any) : void from class org.sacred.observers.base.RunObserver |
sacred/observers/base.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter command : Any in method package started_event(self RunObserver, ex_info Any, command Any, host_info Any, start_time Any, config Any, comment Any) : void from class org.sacred.observers.base.RunObserver |
sacred/observers/base.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter command : Any in method package queued_event(self MongoObserver, ex_info Any, command Any, queue_time Any, config Any, comment Any) : void from class org.sacred.observers.mongo.MongoObserver |
sacred/observers/mongo.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter command : Any in method package started_event(self MongoObserver, ex_info Any, command Any, host_info Any, start_time Any, config Any, comment Any) : void from class org.sacred.observers.mongo.MongoObserver |
sacred/observers/mongo.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter overwrite : Any in method package create(url Any, db_name Any, prefix Any, overwrite Any) : void from class org.sacred.observers.mongo.MongoObserver |
sacred/observers/mongo.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter overwrite : Any in method package __init__(self MongoObserver, runs_collection Any, fs Any, overwrite Any) : void from class org.sacred.observers.mongo.MongoObserver |
sacred/observers/mongo.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter bound : Any in method package construct_arguments(self Signature, args Any, kwargs Any, options Any, bound Any) : void from class org.sacred.config.signature.Signature |
sacred/config/signature.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter expected_args : Any in method package _assert_no_unexpected_args(self Signature, expected_args Any, args Any) : void from class org.sacred.config.signature.Signature |
sacred/config/signature.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter expected_args : Any in method package _assert_no_unexpected_kwargs(self Signature, expected_args Any, kwargs Any) : void from class org.sacred.config.signature.Signature |
sacred/config/signature.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter expected_args : Any in method package _assert_no_duplicate_args(self Signature, expected_args Any, args Any, kwargs Any) : void from class org.sacred.config.signature.Signature |
sacred/config/signature.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter bound : Any in method package _fill_in_options(self Signature, args Any, kwargs Any, options Any, bound Any) : void from class org.sacred.config.signature.Signature |
sacred/config/signature.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter bound : Any in method package _assert_no_missing_args(self Signature, args Any, kwargs Any, bound Any) : void from class org.sacred.config.signature.Signature |
sacred/config/signature.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter prefix : Any in method package pre_run_hook(self Ingredient, func Any, prefix Any) : void from class org.sacred.experiment.Ingredient |
sacred/experiment.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter prefix : Any in method package post_run_hook(self Ingredient, func Any, prefix Any) : void from class org.sacred.experiment.Ingredient |
sacred/experiment.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter config_hooks : Any in method package __init__(self Scaffold, config_scopes Any, subrunners Any, path Any, captured_functions Any, commands Any, named_configs Any, config_hooks Any, generate_seed Any) : void from class org.sacred.initialize.Scaffold |
sacred/initialize.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter self : Scaffold in method package pick_relevant_config_updates(self Scaffold, config_updates Any, past_paths Any) : void from class org.sacred.initialize.Scaffold |
sacred/initialize.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter sorted_ingredients : Any in method package create_scaffolding(experiment Any, sorted_ingredients Any) : void from class org.sacred.initialize.PyDummyClass1 |
sacred/initialize.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter beat_time : Any in method package heartbeat_event(self RunObserver, info Any, captured_out Any, beat_time Any) : void from class org.sacred.observers.base.RunObserver |
sacred/observers/base.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter beat_time : Any in method package heartbeat_event(self DebugObserver, info Any, captured_out Any, beat_time Any) : void from class org.sacred.observers.base.DebugObserver |
sacred/observers/base.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter beat_time : Any in method package heartbeat_event(self MongoObserver, info Any, captured_out Any, beat_time Any) : void from class org.sacred.observers.mongo.MongoObserver |
sacred/observers/mongo.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter prefix : Any in method package create(url Any, db_name Any, prefix Any) : void from class org.sacred.observers.mongo.MongoObserver |
sacred/observers/mongo.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter runs_collection : Any in method package __init__(self MongoObserver, experiments_collection Any, runs_collection Any, hosts_collection Any, fs Any) : void from class org.sacred.observers.mongo.MongoObserver |
sacred/observers/mongo.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter hosts_collection : Any in method package __init__(self MongoObserver, experiments_collection Any, runs_collection Any, hosts_collection Any, fs Any) : void from class org.sacred.observers.mongo.MongoObserver |
sacred/observers/mongo.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter named_configs : Any in method package run(self Experiment, config_updates Any, named_configs Any, loglevel Any) : void from class org.sacred.experiment.Experiment |
sacred/experiment.py |
| IDSIA/sacred |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter caller_globals : Any in method package __init__(self Ingredient, path Any, ingredients Any, gen_seed Any, caller_globals Any) : void from class org.sacred.experiment.Ingredient |
sacred/experiment.py |
| tensorlayer/tensorlayer |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter done : Any in method package finish_path(self PPO, next_state Any, done Any) : void from class org.examples.reinforcement_learning.tutorial_PPO.PPO |
examples/reinforcement_learning/tutorial_PPO.py |
| librosa/librosa |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter major : Any in method package __init__(self NoteFormatter, octave Any, major Any) : void from class org.librosa.display.NoteFormatter |
librosa/display.py |
| KrishnaswamyLab/PHATE |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter legend_loc : Any in method package scatter(data Any, c Any, cmap Any, s Any, discrete Any, ax Any, legend Any, figsize Any, xticks Any, yticks Any, zticks Any, xticklabels Any, yticklabels Any, zticklabels Any, label_prefix Any, xlabel Any, ylabel Any, zlabel Any, title Any, legend_title Any, legend_loc Any, filename Any, dpi Any) : void from class org.Python.phate.plot.PyDummyClass1 |
Python/phate/plot.py |
| xinntao/BasicSR |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter step : Any in method package optimize_parameters(self SRGANModel, step Any) : void from class org.codes.models.SRGAN_model.SRGANModel |
codes/models/SRGAN_model.py |
| xinntao/BasicSR |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter step : Any in method package optimize_parameters(self SRModel, step Any) : void from class org.codes.models.SR_model.SRModel |
codes/models/SR_model.py |
| xinntao/BasicSR |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter tensor : Any in method package __init__(self GradientPenaltyLoss, tensor Any) : void from class org.codes.models.modules.loss.GradientPenaltyLoss |
codes/models/modules/loss.py |
| xinntao/BasicSR |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter tensor : Any in method package __init__(self VGGFeatureExtractor, feature_layer Any, use_bn Any, use_input_norm Any, tensor Any) : void from class org.codes.models.modules.architecture.VGGFeatureExtractor |
codes/models/modules/architecture.py |
| xinntao/BasicSR |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter tensor : Any in method package __init__(self GANLoss, gan_type Any, real_label_val Any, fake_label_val Any, tensor Any) : void from class org.codes.models.modules.loss.GANLoss |
codes/models/modules/loss.py |
| sepandhaghighi/pycm |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter plot_lib : Any in method package add_number_label(ax Any, classes Any, matrix Any, cmap Any, number_label_cmap Any, plot_lib Any) : void from class org.pycm.pycm_util.PyDummyClass1 |
pycm/pycm_util.py |
| jindongwang/transferlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter groups : Any in method package __init__(self Bottleneck, inplanes Any, planes Any, stride Any, downsample Any, groups Any, base_width Any, norm_layer Any) : void from class org.code.deep.DAN.ResNet.Bottleneck |
code/deep/DAN/ResNet.py |
| jindongwang/transferlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter base_width : Any in method package __init__(self Bottleneck, inplanes Any, planes Any, stride Any, downsample Any, groups Any, base_width Any, norm_layer Any) : void from class org.code.deep.DAN.ResNet.Bottleneck |
code/deep/DAN/ResNet.py |
| jindongwang/transferlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter norm_layer : Any in method package __init__(self Bottleneck, inplanes Any, planes Any, stride Any, downsample Any, groups Any, base_width Any, norm_layer Any) : void from class org.code.deep.DAN.ResNet.Bottleneck |
code/deep/DAN/ResNet.py |
| jindongwang/transferlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter norm_layer : Any in method package _make_layer(self ResNet, block Any, planes Any, blocks Any, stride Any, norm_layer Any) : void from class org.code.deep.DAN.ResNet.ResNet |
code/deep/DAN/ResNet.py |
| jindongwang/transferlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter data_train : Any in method package classify_1nn(data_train Any, data_test Any) : void from class org.code.feature_extractor.for_image_data.main.PyDummyClass2 |
code/feature_extractor/for_image_data/main.py |
| jindongwang/transferlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter data_test : Any in method package classify_1nn(data_train Any, data_test Any) : void from class org.code.feature_extractor.for_image_data.main.PyDummyClass2 |
code/feature_extractor/for_image_data/main.py |
| jindongwang/transferlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter Xs : Any in method package fit_predict(self BDA, Xs Any, Ys Any, Xt Any, Yt Any) : void from class org.code.traditional.BDA.BDA.BDA |
code/traditional/BDA/BDA.py |
| jindongwang/transferlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter Ys : Any in method package fit_predict(self BDA, Xs Any, Ys Any, Xt Any, Yt Any) : void from class org.code.traditional.BDA.BDA.BDA |
code/traditional/BDA/BDA.py |
| jindongwang/transferlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter Xt : Any in method package fit_predict(self BDA, Xs Any, Ys Any, Xt Any, Yt Any) : void from class org.code.traditional.BDA.BDA.BDA |
code/traditional/BDA/BDA.py |
| jindongwang/transferlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter Yt : Any in method package fit_predict(self BDA, Xs Any, Ys Any, Xt Any, Yt Any) : void from class org.code.traditional.BDA.BDA.BDA |
code/traditional/BDA/BDA.py |
| jindongwang/transferlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter Xs : Any in method package fit(self CORAL, Xs Any, Xt Any) : void from class org.code.traditional.CORAL.CORAL.CORAL |
code/traditional/CORAL/CORAL.py |
| jindongwang/transferlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter Xt : Any in method package fit(self CORAL, Xs Any, Xt Any) : void from class org.code.traditional.CORAL.CORAL.CORAL |
code/traditional/CORAL/CORAL.py |
| jindongwang/transferlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter Xs : Any in method package fit_predict(self CORAL, Xs Any, Ys Any, Xt Any, Yt Any) : void from class org.code.traditional.CORAL.CORAL.CORAL |
code/traditional/CORAL/CORAL.py |
| jindongwang/transferlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter Ys : Any in method package fit_predict(self CORAL, Xs Any, Ys Any, Xt Any, Yt Any) : void from class org.code.traditional.CORAL.CORAL.CORAL |
code/traditional/CORAL/CORAL.py |
| jindongwang/transferlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter Xt : Any in method package fit_predict(self CORAL, Xs Any, Ys Any, Xt Any, Yt Any) : void from class org.code.traditional.CORAL.CORAL.CORAL |
code/traditional/CORAL/CORAL.py |
| jindongwang/transferlearning |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter Yt : Any in method package fit_predict(self CORAL, Xs Any, Ys Any, Xt Any, Yt Any) : void from class org.code.traditional.CORAL.CORAL.CORAL |
code/traditional/CORAL/CORAL.py |
| pcyin/tranX |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter cls : Any in method package load(cls Any, model_path Any, cuda Any) : void from class org.model.parser.Parser |
model/parser.py |
| pcyin/tranX |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter tie_embed : Any in method package __init__(self DecomposableAttentionModel, src_vocab Any, tgt_vocab Any, embed_size Any, dropout Any, tie_embed Any, cuda Any) : void from class org.model.decomposable_attention_model.DecomposableAttentionModel |
model/decomposable_attention_model.py |
| pcyin/tranX |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter label_smoothing : Any in method package __init__(self Seq2SeqModel, src_vocab Any, tgt_vocab Any, embed_size Any, hidden_size Any, decoder_word_dropout Any, dropout Any, label_smoothing Any, cuda Any, src_embed_layer Any, tgt_embed_layer Any) : void from class org.model.seq2seq.Seq2SeqModel |
model/seq2seq.py |
| bukun/TorCMS |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter post_data : Any in method package add_pdf(self EntityHandler, post_data Any) : void from class org.torcms.handlers.entity_handler.EntityHandler |
torcms/handlers/entity_handler.py |
| cuemacro/finmarketpy |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter return_as_df : Any in method package price_instrument(self FXForwardsPricer, cross Any, horizon_date Any, delivery_date Any, option_expiry_date Any, market_df Any, quoted_delivery_df Any, fx_forwards_tenor_for_interpolation Any, return_as_df Any) : void from class org.finmarketpy.curve.rates.fxforwardspricer.FXForwardsPricer |
finmarketpy/curve/rates/fxforwardspricer.py |
| cuemacro/finmarketpy |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter depo_tenor : Any in method package fetch_continuous_time_series(self FXSpotCurve, md_request Any, market_data_generator Any, depo_tenor Any, construct_via_currency Any, output_calculation_fields Any) : void from class org.finmarketpy.curve.fxspotcurve.FXSpotCurve |
finmarketpy/curve/fxspotcurve.py |
| cuemacro/finmarketpy |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter output_calculation_fields : Any in method package fetch_continuous_time_series(self FXSpotCurve, md_request Any, market_data_generator Any, depo_tenor Any, construct_via_currency Any, output_calculation_fields Any) : void from class org.finmarketpy.curve.fxspotcurve.FXSpotCurve |
finmarketpy/curve/fxspotcurve.py |
| cuemacro/finmarketpy |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter asset : Any in method package __init__(self FXVolSurface, market_df Any, asset Any, field Any, tenors Any) : void from class org.finmarketpy.volatility.fxvolsurface.FXVolSurface |
finmarketpy/volatility/fxvolsurface.py |
| cuemacro/finmarketpy |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter field : Any in method package __init__(self FXVolSurface, market_df Any, asset Any, field Any, tenors Any) : void from class org.finmarketpy.volatility.fxvolsurface.FXVolSurface |
finmarketpy/volatility/fxvolsurface.py |
| cuemacro/finmarketpy |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter additive_index : Any in method package plot_chart(self QuickChart, tickers Any, tickers_rhs Any, start_date Any, finish_date Any, chart_file Any, chart_type Any, title Any, fields Any, freq Any, source Any, brand_label Any, display_brand_label Any, reindex Any, additive_index Any, yoy Any, plotly_plot_mode Any, quandl_api_key Any, fred_api_key Any, alpha_vantage_api_key Any, df Any) : void from class org.finmarketpy.economics.quickchart.QuickChart |
finmarketpy/economics/quickchart.py |
| cuemacro/finmarketpy |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter source : Any in method package plot_chart(self QuickChart, tickers Any, tickers_rhs Any, start_date Any, finish_date Any, chart_file Any, chart_type Any, title Any, fields Any, freq Any, source Any, brand_label Any, display_brand_label Any, reindex Any, yoy Any, plotly_plot_mode Any, quandl_api_key Any, fred_api_key Any, alpha_vantage_api_key Any) : void from class org.finmarketpy.economics.quickchart.QuickChart |
finmarketpy/economics/quickchart.py |
| cuemacro/finmarketpy |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter brand_label : Any in method package plot_chart(self QuickChart, tickers Any, tickers_rhs Any, start_date Any, finish_date Any, chart_file Any, chart_type Any, title Any, fields Any, freq Any, source Any, brand_label Any, display_brand_label Any, reindex Any, yoy Any, plotly_plot_mode Any, quandl_api_key Any, fred_api_key Any, alpha_vantage_api_key Any) : void from class org.finmarketpy.economics.quickchart.QuickChart |
finmarketpy/economics/quickchart.py |
| cuemacro/finmarketpy |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter display_brand_label : Any in method package plot_chart(self QuickChart, tickers Any, tickers_rhs Any, start_date Any, finish_date Any, chart_file Any, chart_type Any, title Any, fields Any, freq Any, source Any, brand_label Any, display_brand_label Any, reindex Any, yoy Any, plotly_plot_mode Any, quandl_api_key Any, fred_api_key Any, alpha_vantage_api_key Any) : void from class org.finmarketpy.economics.quickchart.QuickChart |
finmarketpy/economics/quickchart.py |
| cuemacro/finmarketpy |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter reindex : Any in method package plot_chart(self QuickChart, tickers Any, tickers_rhs Any, start_date Any, finish_date Any, chart_file Any, chart_type Any, title Any, fields Any, freq Any, source Any, brand_label Any, display_brand_label Any, reindex Any, yoy Any, plotly_plot_mode Any, quandl_api_key Any, fred_api_key Any, alpha_vantage_api_key Any) : void from class org.finmarketpy.economics.quickchart.QuickChart |
finmarketpy/economics/quickchart.py |
| cuemacro/finmarketpy |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter yoy : Any in method package plot_chart(self QuickChart, tickers Any, tickers_rhs Any, start_date Any, finish_date Any, chart_file Any, chart_type Any, title Any, fields Any, freq Any, source Any, brand_label Any, display_brand_label Any, reindex Any, yoy Any, plotly_plot_mode Any, quandl_api_key Any, fred_api_key Any, alpha_vantage_api_key Any) : void from class org.finmarketpy.economics.quickchart.QuickChart |
finmarketpy/economics/quickchart.py |
| cuemacro/finmarketpy |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter plotly_plot_mode : Any in method package plot_chart(self QuickChart, tickers Any, tickers_rhs Any, start_date Any, finish_date Any, chart_file Any, chart_type Any, title Any, fields Any, freq Any, source Any, brand_label Any, display_brand_label Any, reindex Any, yoy Any, plotly_plot_mode Any, quandl_api_key Any, fred_api_key Any, alpha_vantage_api_key Any) : void from class org.finmarketpy.economics.quickchart.QuickChart |
finmarketpy/economics/quickchart.py |
| cuemacro/finmarketpy |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter quandl_api_key : Any in method package plot_chart(self QuickChart, tickers Any, tickers_rhs Any, start_date Any, finish_date Any, chart_file Any, chart_type Any, title Any, fields Any, freq Any, source Any, brand_label Any, display_brand_label Any, reindex Any, yoy Any, plotly_plot_mode Any, quandl_api_key Any, fred_api_key Any, alpha_vantage_api_key Any) : void from class org.finmarketpy.economics.quickchart.QuickChart |
finmarketpy/economics/quickchart.py |
| cuemacro/finmarketpy |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter fred_api_key : Any in method package plot_chart(self QuickChart, tickers Any, tickers_rhs Any, start_date Any, finish_date Any, chart_file Any, chart_type Any, title Any, fields Any, freq Any, source Any, brand_label Any, display_brand_label Any, reindex Any, yoy Any, plotly_plot_mode Any, quandl_api_key Any, fred_api_key Any, alpha_vantage_api_key Any) : void from class org.finmarketpy.economics.quickchart.QuickChart |
finmarketpy/economics/quickchart.py |
| cuemacro/finmarketpy |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter alpha_vantage_api_key : Any in method package plot_chart(self QuickChart, tickers Any, tickers_rhs Any, start_date Any, finish_date Any, chart_file Any, chart_type Any, title Any, fields Any, freq Any, source Any, brand_label Any, display_brand_label Any, reindex Any, yoy Any, plotly_plot_mode Any, quandl_api_key Any, fred_api_key Any, alpha_vantage_api_key Any) : void from class org.finmarketpy.economics.quickchart.QuickChart |
finmarketpy/economics/quickchart.py |
| cuemacro/finmarketpy |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter plot : Any in method package run_arbitrary_sensitivity(self TradeAnalysis, trading_model Any, parameter_list Any, pretty_portfolio_names Any, parameter_type Any, run_in_parallel Any, reload_market_data Any, plot Any) : void from class org.finmarketpy.backtest.tradeanalysis.TradeAnalysis |
finmarketpy/backtest/tradeanalysis.py |
| cuemacro/finmarketpy |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter cumsum : Any in method package get_intraday_moves_over_custom_event(self EventStudy, data_frame_rets Any, ef_time_frame Any, vol Any, minute_start Any, mins Any, min_offset Any, create_index Any, resample Any, freq Any, cumsum Any) : void from class org.finmarketpy.economics.eventstudy.EventStudy |
finmarketpy/economics/eventstudy.py |
| cuemacro/finmarketpy |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter br : Any in method package load_parameters(self TradingModel, br Any) : void from class org.finmarketpy.backtest.backtestengine.TradingModel |
finmarketpy/backtest/backtestengine.py |
| cuemacro/finmarketpy |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter reload_market_data : Any in method package run_tc_shock(self TradeAnalysis, strategy Any, tc Any, run_in_parallel Any, reload_market_data Any) : void from class org.finmarketpy.backtest.tradeanalysis.TradeAnalysis |
finmarketpy/backtest/tradeanalysis.py |
| cuemacro/finmarketpy |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter reload_market_data : Any in method package run_arbitrary_sensitivity(self TradeAnalysis, trading_model Any, parameter_list Any, pretty_portfolio_names Any, parameter_type Any, run_in_parallel Any, reload_market_data Any) : void from class org.finmarketpy.backtest.tradeanalysis.TradeAnalysis |
finmarketpy/backtest/tradeanalysis.py |
| cuemacro/finmarketpy |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter br : Any in method package load_parameters(self TradingModelFXTrend_BBG_Example, br Any) : void from class org.finmarketpy_examples.tradingmodelfxtrend_bbg_example.TradingModelFXTrend_BBG_Example |
finmarketpy_examples/tradingmodelfxtrend_bbg_example.py |
| cuemacro/finmarketpy |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter br : Any in method package load_assets(self TradingModelFXTrend_BBG_Example, br Any) : void from class org.finmarketpy_examples.tradingmodelfxtrend_bbg_example.TradingModelFXTrend_BBG_Example |
finmarketpy_examples/tradingmodelfxtrend_bbg_example.py |
| cuemacro/finmarketpy |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter br : Any in method package load_parameters(self TradingModelFXTrend_Example, br Any) : void from class org.finmarketpy_examples.tradingmodelfxtrend_example.TradingModelFXTrend_Example |
finmarketpy_examples/tradingmodelfxtrend_example.py |
| cuemacro/finmarketpy |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter br : Any in method package load_assets(self TradingModelFXTrend_Example, br Any) : void from class org.finmarketpy_examples.tradingmodelfxtrend_example.TradingModelFXTrend_Example |
finmarketpy_examples/tradingmodelfxtrend_example.py |
| OpenNMT/OpenNMT-tf |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter accepted_annotations : Any in method package __init__(self ExampleInputter, features_inputter Any, labels_inputter Any, share_parameters Any, accepted_annotations Any) : void from class org.opennmt.inputters.inputter.ExampleInputter |
opennmt/inputters/inputter.py |
| OpenNMT/OpenNMT-tf |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter with_weights : Any in method package _makeToyEnDeData(self ModelTest, with_alignments Any, with_weights Any) : void from class org.opennmt.tests.model_test.ModelTest |
opennmt/tests/model_test.py |
| OpenNMT/OpenNMT-tf |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter sequence_weight : Any in method package cross_entropy_sequence_loss(logits Any, labels Any, sequence_length Any, label_smoothing Any, average_in_time Any, training Any, sequence_weight Any) : void from class org.opennmt.utils.losses.PyDummyClass1 |
opennmt/utils/losses.py |
| OpenNMT/OpenNMT-tf |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter weight : Any in method package cross_entropy_loss(logits Any, labels Any, label_smoothing Any, training Any, weight Any) : void from class org.opennmt.utils.losses.PyDummyClass1 |
opennmt/utils/losses.py |
| OpenNMT/OpenNMT-tf |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter variant : Any in method package testCTranslate2Export(self RunnerTest, variant Any) : void from class org.opennmt.tests.runner_test.RunnerTest |
opennmt/tests/runner_test.py |
| OpenNMT/OpenNMT-tf |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter return_summary : Any in method package train(self Runner, num_devices Any, with_eval Any, checkpoint_path Any, hvd Any, return_summary Any) : void from class org.opennmt.runner.Runner |
opennmt/runner.py |
| HsinYingLee/DRIT |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter train : Any in method package resume(self DRIT, model_dir Any, train Any) : void from class org.src.model.DRIT |
src/model.py |
| HsinYingLee/DRIT |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter norm : Any in method package _make_net(self MultiScaleDis, ch Any, input_dim Any, n_layer Any, norm Any, sn Any) : void from class org.src.networks.MultiScaleDis |
src/networks.py |
| HsinYingLee/DRIT |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter sn : Any in method package _make_net(self MultiScaleDis, ch Any, input_dim Any, n_layer Any, norm Any, sn Any) : void from class org.src.networks.MultiScaleDis |
src/networks.py |
| HsinYingLee/DRIT |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter total_it : Any in method package write_model(self Saver, ep Any, total_it Any, model Any) : void from class org.src.saver.Saver |
src/saver.py |
| akanimax/pro_gan_pytorch |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter real_batch : Any in method package optimize_generator(self ProGAN, noise Any, real_batch Any, depth Any, alpha Any) : void from class org.pro_gan_pytorch.PRO_GAN.ProGAN |
pro_gan_pytorch/PRO_GAN.py |
| akanimax/pro_gan_pytorch |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter alpha : Any in method package forward(self PixelwiseNorm, x Any, alpha Any) : void from class org.pro_gan_pytorch.CustomLayers.PixelwiseNorm |
pro_gan_pytorch/CustomLayers.py |
| akanimax/pro_gan_pytorch |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter embedding_size : Any in method package __init__(self ConditionalDiscriminator, height Any, feature_size Any, embedding_size Any, compressed_latent_size Any, use_eql Any) : void from class org.pro_gan_pytorch.PRO_GAN.ConditionalDiscriminator |
pro_gan_pytorch/PRO_GAN.py |
| akanimax/pro_gan_pytorch |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter bias : Any in method package __init__(self _equalized_linear, c_in Any, c_out Any, initializer Any, bias Any) : void from class org.pro_gan_pytorch.CustomLayers._equalized_linear |
pro_gan_pytorch/CustomLayers.py |
| akanimax/pro_gan_pytorch |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter use_ema : Any in method package __init__(self ProGAN, depth Any, latent_size Any, learning_rate Any, beta_1 Any, beta_2 Any, eps Any, drift Any, n_critic Any, use_eql Any, loss Any, use_ema Any, ema_decay Any, device Any) : void from class org.pro_gan_pytorch.PRO_GAN.ProGAN |
pro_gan_pytorch/PRO_GAN.py |
| akanimax/pro_gan_pytorch |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter ema_decay : Any in method package __init__(self ProGAN, depth Any, latent_size Any, learning_rate Any, beta_1 Any, beta_2 Any, eps Any, drift Any, n_critic Any, use_eql Any, loss Any, use_ema Any, ema_decay Any, device Any) : void from class org.pro_gan_pytorch.PRO_GAN.ProGAN |
pro_gan_pytorch/PRO_GAN.py |
| akanimax/pro_gan_pytorch |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter loss : Any in method package __init__(self ProGAN, depth Any, latent_size Any, learning_rate Any, beta_1 Any, beta_2 Any, eps Any, drift Any, n_critic Any, use_eql Any, loss Any, device Any) : void from class org.pro_gan_pytorch.PRO_GAN.ProGAN |
pro_gan_pytorch/PRO_GAN.py |
| kkroening/ffmpeg-python |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter cwd : Any in method package test__run_async(mocker Any, pipe_stdin Any, pipe_stdout Any, pipe_stderr Any, cwd Any) : void from class org.ffmpeg.tests.test_ffmpeg.PyDummyClass1 |
ffmpeg/tests/test_ffmpeg.py |
| kkroening/ffmpeg-python |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter select : Any in method package stream(self Node, label Any, select Any) : void from class org.ffmpeg.nodes.Node |
ffmpeg/nodes.py |
| LCAV/pyroomacoustics |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter cutoff : Any in method package apply_rir(rir Any, wav_file_name Any, fs Any, cutoff Any, result_name Any) : void from class org.pyroomacoustics.libroom_src.tests.test_ray_tracing.PyDummyClass1 |
pyroomacoustics/libroom_src/tests/test_ray_tracing.py |
| mathurinm/celer |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter coef_init : Any in method package path(self LassoCV, X Any, y Any, alphas Any, coef_init Any) : void from class org.celer.dropin_sklearn.LassoCV |
celer/dropin_sklearn.py |
| mathurinm/celer |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter return_n_iter : Any in method package celer_path(X Any, y Any, eps Any, n_alphas Any, alphas Any, coef_init Any, max_iter Any, gap_freq Any, max_epochs Any, p0 Any, verbose Any, verbose_inner Any, tol Any, prune Any, return_thetas Any, monitor Any, X_offset Any, X_scale Any, return_n_iter Any) : void from class org.celer.homotopy.PyDummyClass1 |
celer/homotopy.py |
| mathurinm/celer |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter fit_intercept : Any in method package __init__(self Lasso, alpha Any, max_iter Any, gap_freq Any, max_epochs Any, p0 Any, verbose Any, tol Any, prune Any, fit_intercept Any) : void from class org.celer.dropin_sklearn.Lasso |
celer/dropin_sklearn.py |
| mathurinm/celer |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter sparse_X : Any in method package build_dataset(n_samples Any, n_features Any, n_informative_features Any, n_targets Any, sparse_X Any) : void from class org.celer.tests.test_dense.PyDummyClass1 |
celer/tests/test_dense.py |
| mathurinm/celer |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter eps : Any in method package celer_path(X Any, y Any, eps Any, n_alphas Any, alphas Any, max_iter Any, gap_freq Any, max_epochs_inner Any, p0 Any, verbose Any, verbose_inner Any, tol Any, prune Any, return_thetas Any) : void from class org.celer.homotopy.PyDummyClass1 |
celer/homotopy.py |
| ageitgey/face_recognition |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter model : Any in method package face_landmarks(face_image Any, face_locations Any, model Any) : void from class org.face_recognition.api.PyDummyClass1 |
face_recognition/api.py |
| ageitgey/face_recognition |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter batch_size : Any in method package _raw_face_locations_batched(images Any, number_of_times_to_upsample Any, batch_size Any) : void from class org.face_recognition.api.PyDummyClass1 |
face_recognition/api.py |
| ageitgey/face_recognition |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter model : Any in method package _raw_face_landmarks(face_image Any, face_locations Any, model Any) : void from class org.face_recognition.api.PyDummyClass1 |
face_recognition/api.py |
| ageitgey/face_recognition |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter cpus : Any in method package main(known_people_folder Any, image_to_check Any, cpus Any) : void from class org.face_recognition.cli.PyDummyClass1 |
face_recognition/cli.py |
| ottogroup/palladium |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter scoring : Any in method package fit(dataset_loader_train Any, model Any, model_persister Any, persist Any, activate Any, dataset_loader_test Any, evaluate Any, persist_if_better_than Any, scoring Any) : void from class org.palladium.fit.PyDummyClass1 |
palladium/fit.py |
| lyst/lightfm |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter min_training_interactions : Any in method package fetch_stackexchange(dataset Any, test_set_fraction Any, min_training_interactions Any, data_home Any, indicator_features Any, tag_features Any, download_if_missing Any) : void from class org.lightfm.datasets.stackexchange.__init__.PyDummyClass1 |
lightfm/datasets/stackexchange/__init__.py |
| lyst/lightfm |
Add Parameter |
RefactoringLink | CommitLink | Yes |
Add Parameter train : Any in method package _precision_at_k(model Any, ground_truth Any, k Any, train Any, user_features Any, item_features Any) : void from class org.tests.test_evaluation.PyDummyClass1 |
tests/test_evaluation.py |