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Functions2,053 in github.com/COLA-Laboratory/TransOPT

⨍ Functions 2,053◇ Types & classes 361↳ Endpoints 19
↓ 2 callersMethodremove_dataset
(self, dataset_name)
transopt/agent/services.py:363
↓ 2 callersFunctionrescale_data
(data, original_range, target_range)
demo/comparison/plot.py:97
↓ 2 callersMethodreset
(self,)
transopt/optimizer/model/deepkernel.py:40
↓ 2 callersMethodroll
(self)
transopt/benchmark/problem_base/transfer_problem.py:107
↓ 2 callersMethodrollback_transaction
(self)
transopt/datamanager/database.py:167
↓ 2 callersMethodsample_initial_set
(self, metadata = None, metadata_info = None)
transopt/optimizer/optimizer_base/bo.py:57
↓ 2 callersMethodsamples
Returns a set of samples of observations based on a given value of the latent variable. :param gp: latent variable
transopt/optimizer/SingleObjOptimizer/VizerOptimizer.py:170
↓ 2 callersMethodsamples
Returns a set of samples of observations based on a given value of the latent variable. :param gp: latent variable
transopt/optimizer/SingleObjOptimizer/RGPEOptimizer.py:229
↓ 2 callersMethodsamples
Returns a set of samples of observations based on a given value of the latent variable. :param gp: latent variable
transopt/optimizer/SingleObjOptimizer/MetaLearningOptimizer.py:214
↓ 2 callersMethodsave_checkpoint
(self, filename)
transopt/benchmark/HPOOOD/hpoood.py:259
↓ 2 callersMethodsave_checkpoint
(self, checkpoint)
transopt/optimizer/pretrain/deepkernelpretrain.py:247
↓ 2 callersMethodsearch_space_refine
(self, metadata = None, metadata_info = None)
transopt/optimizer/optimizer_base/bo.py:51
↓ 2 callersMethodsearch_tables_by_metadata
Search for tables based on metadata criteria. Parameters: ---------- search_params : dict A dictionary w
transopt/datamanager/database.py:420
↓ 2 callersMethodset_XY
(self, X=None, Y=None)
transopt/optimizer/SingleObjOptimizer/MultitaskOptimizer.py:151
↓ 2 callersMethodset_data
(self, X, Y)
transopt/optimizer/MultiObjOptimizer/CauMOpt.py:185
↓ 2 callersMethodset_metadata
(self, dataset_names)
transopt/agent/services.py:256
↓ 2 callersMethodset_tasks
(self, tasks)
transopt/agent/config.py:27
↓ 2 callersMethodshow
(self)
transopt/benchmark/HPO/misc.py:119
↓ 2 callersFunctionsplit_into_segments
(lst, n)
demo/random_sample_dbms.py:31
↓ 2 callersMethodstart_experiment
(self, params)
transopt/remote/experiment_client.py:17
↓ 2 callersMethodstart_transaction
(self)
transopt/datamanager/database.py:161
↓ 2 callersFunctiontarget_encoding
计算给定列的目标编码。 参数: dataframe (pandas.DataFrame): 包含特征和目标列的DataFrame。 column_name (str): 需要进行目标编码的列名。 target_name (str): 目标变量的列名。
transopt/utils/encoding.py:3
↓ 2 callersMethodteardown
(self)
transopt/datamanager/manager.py:101
↓ 2 callersFunctiontestStatistic
(y,z)
transopt/utils/sk.py:121
↓ 2 callersMethodto_dict
Save the kernel as a dictionary.
transopt/optimizer/model/utils.py:113
↓ 2 callersMethodtorch_bernoulli_
(self, p, size)
transopt/benchmark/HPOOOD/ooddatasets.py:132
↓ 2 callersMethodtorch_xor_
(self, a, b)
transopt/benchmark/HPOOOD/ooddatasets.py:135
↓ 2 callersFunctiontrain_and_evaluate_model
Trains and evaluates a model, either using top 20 features or all features.
demo/importances/get_feature_importances.py:139
↓ 2 callersMethodunlock
(self)
transopt/benchmark/problem_base/tab_problem.py:314
↓ 2 callersMethodupdate_dataset
(self, dataset)
transopt/optimizer/model/rbfn.py:120
↓ 2 callersFunctionvisualize_data_with_metrics
Visualize the input data with corresponding metrics. :param data: A dictionary where keys are sample names and values are dictionaries
tests/data_analysis.py:172
↓ 2 callersMethodwait_for_result
(self, task_id, poll_interval=2)
transopt/remote/experiment_client.py:39
↓ 1 callersFunctionClassifier
(in_features, out_features, is_nonlinear=False)
transopt/benchmark/HPOOOD/networks.py:198
↓ 1 callersFunctionConstructSelector
(optimizer_config, dict = None, seed: int = 0)
transopt/optimizer/construct_optimizer.py:59
↓ 1 callersMethodEpanechnikov_kernel
(self, X1, X2)
transopt/optimizer/model/sgpt.py:155
↓ 1 callersFunctionFeaturizer
Auto-select an appropriate featurizer for the given input shape.
transopt/benchmark/HPOOOD/networks.py:184
↓ 1 callersMethod__add__
(self, other)
transopt/benchmark/HPOOOD/misc.py:244
↓ 1 callersMethod__clear_folder
(self, folder_path)
transopt/benchmark/CPD/PCM/pcm.py:111
↓ 1 callersMethod__init__
(self, a, b, name='')
transopt/utils/Prior.py:322
↓ 1 callersMethod__init__
(self, task_name, budget_type, budget, seed, workload, knobs=None, **kwargs)
transopt/benchmark/CSSTuning/Compiler.py:19
↓ 1 callersMethod__init__
(self, in_planes, planes, dropout_rate, stride=1)
transopt/benchmark/HPO/wide_resnet.py:38
↓ 1 callersMethod__init__
( self, task_name, budget_type, budget, seed, workload, **kwargs )
transopt/benchmark/HPO/HPO.py:370
↓ 1 callersMethod__init__
(self)
transopt/benchmark/HPO/misc.py:81
↓ 1 callersMethod__init__
(self, dataset, batch_size, num_workers)
transopt/benchmark/HPO/fast_data_loader.py:44
↓ 1 callersMethod__init__
(self, in_planes, planes, dropout_rate, stride=1)
transopt/benchmark/HPOOOD/wide_resnet.py:38
↓ 1 callersMethod__init__
(self, dataset, batch_size, num_workers)
transopt/benchmark/HPOOOD/fast_data_loader.py:51
↓ 1 callersMethod__init__
( self, n_var, shift_length=3.0, height_severity=7.0, width_severity=1
transopt/benchmark/synthetic/MovingPeakBenchmark.py:16
↓ 1 callersMethod__init__
(self, seed: Union[int, np.random.RandomState, None] = None, **kwargs)
transopt/benchmark/problem_base/transfer_problem.py:14
↓ 1 callersMethod__init__
(self, config: Dict, **kwargs)
transopt/optimizer/SingleObjOptimizer/PROptimizer.py:20
↓ 1 callersMethod__init__
(self, config: Dict, **kwargs)
transopt/optimizer/SingleObjOptimizer/RBFNOptimizer.py:20
↓ 1 callersMethod__init__
(self, config: Dict, **kwargs)
transopt/optimizer/SingleObjOptimizer/KrigingOptimizer.py:19
↓ 1 callersMethod__init__
Initialize the kernel. Args: input_dim: Input dimension of the training data. covariance_matrix: The fixed covariance
transopt/optimizer/model/utils.py:89
↓ 1 callersMethod__init__
(self, size)
transopt/optimizer/model/bohb.py:20
↓ 1 callersMethod__init__
(self, input_dim, dropout_rate=0.3)
transopt/optimizer/model/mlp.py:27
↓ 1 callersMethod__init__
(self, space, predict)
transopt/optimizer/acquisition_function/model_manage/PSOPreSelect.py:86
↓ 1 callersMethod__init__
(self, space, predict)
transopt/optimizer/acquisition_function/model_manage/CMAESGeneration.py:78
↓ 1 callersMethod__init__
(self, space, predict)
transopt/optimizer/acquisition_function/model_manage/DEGeneration.py:78
↓ 1 callersMethod__init__
(self, space, predict)
transopt/optimizer/acquisition_function/model_manage/GAPreSelect.py:86
↓ 1 callersMethod__init__
(self, config)
transopt/optimizer/acquisition_function/model_manage/PSOBest.py:14
↓ 1 callersMethod__init__
(self, config)
transopt/optimizer/acquisition_function/model_manage/CMAESBest.py:16
↓ 1 callersMethod__init__
(self, space, predict)
transopt/optimizer/acquisition_function/model_manage/CMAESPreSelect.py:86
↓ 1 callersMethod__init__
(self, config)
transopt/optimizer/acquisition_function/model_manage/DEBest.py:14
↓ 1 callersMethod__init__
(self, space, predict)
transopt/optimizer/acquisition_function/model_manage/GAGeneration.py:78
↓ 1 callersMethod__init__
(self, config)
transopt/optimizer/acquisition_function/model_manage/GABest.py:14
↓ 1 callersMethod__init__
(self, space, predict)
transopt/optimizer/acquisition_function/model_manage/DEPreSelect.py:86
↓ 1 callersMethod__init__
(self, space, predict)
transopt/optimizer/acquisition_function/model_manage/PSOGeneration.py:78
↓ 1 callersMethod__neg__
(self)
transopt/benchmark/HPOOOD/misc.py:252
↓ 1 callersMethod__str__
(self)
transopt/utils/Prior.py:328
↓ 1 callersMethod_compute_acq
(self,x)
transopt/optimizer/acquisition_function/acf_base.py:95
↓ 1 callersMethod_compute_acq_withGradients
(self, x)
transopt/optimizer/acquisition_function/acf_base.py:99
↓ 1 callersMethod_compute_distance_grads_var
(self, grads_var_per_domain)
transopt/benchmark/HPOOOD/algorithms.py:1404
↓ 1 callersMethod_compute_prior
(self, x)
transopt/optimizer/acquisition_function/piei.py:45
↓ 1 callersMethod_create_model
(self, X, Y)
transopt/optimizer/model/parego.py:43
↓ 1 callersMethod_create_model
(self, X, Y)
transopt/optimizer/model/moeadego.py:46
↓ 1 callersMethod_diffs
Computes difference between each x in test_Xs with all train_Xs.
transopt/benchmark/HPOOOD/misc.py:277
↓ 1 callersMethod_execute_experiment
(self, data)
transopt/benchmark/problem_base/transfer_problem.py:278
↓ 1 callersMethod_get_grads
(self, logits, y)
transopt/benchmark/HPOOOD/algorithms.py:1367
↓ 1 callersMethod_get_grads_var_per_domain
(self, dict_grads, len_minibatches)
transopt/benchmark/HPOOOD/algorithms.py:1384
↓ 1 callersMethod_get_prompt
Reads a prompt from a file.
transopt/agent/chat/openai_chat.py:85
↓ 1 callersMethod_initialize_lsh_cache
(self, num_hashes, char_ngram, num_bands, random_state)
transopt/datamanager/manager.py:33
↓ 1 callersMethod_irm_penalty
(logits, y)
transopt/benchmark/HPOOOD/algorithms.py:320
↓ 1 callersMethod_irm_penalty
(logits, y)
transopt/benchmark/HPOOOD/algorithms.py:1670
↓ 1 callersFunction_lhscentered
(d, samples)
transopt/optimizer/sampler/lhs_BAK.py:69
↓ 1 callersFunction_lhsclassic
(d, samples)
transopt/optimizer/sampler/lhs_BAK.py:63
↓ 1 callersFunction_lhscorrelate
(d, samples, iterations)
transopt/optimizer/sampler/lhs_BAK.py:96
↓ 1 callersMethod_make_prediction
(self, X, full_cov=False)
transopt/optimizer/model/smsego.py:53
↓ 1 callersMethod_make_prediction
(self, X, full_cov=False)
transopt/optimizer/model/parego.py:63
↓ 1 callersMethod_make_prediction
(self, X, full_cov=False)
transopt/optimizer/model/moeadego.py:81
↓ 1 callersMethod_meta_fit_single_gp
Train a new source GP on `data`. Args: data: The source dataset. optimize: Switch to run hyperparameter optimization.
transopt/optimizer/model/mhgp.py:94
↓ 1 callersMethod_meta_fit_single_gp
Train a new source GP on `data`. Args: data: The source dataset. optimize: Switch to run hyperparameter optimization.
transopt/optimizer/model/rgpe.py:75
↓ 1 callersMethod_meta_fit_single_gp
Train a new source GP on `data`. Args: data: The source dataset. optimize: Switch to run hyperparameter optimization.
transopt/optimizer/model/sgpt.py:49
↓ 1 callersFunction_no_weight
(unit, s, dim)
transopt/utils/weights.py:20
↓ 1 callersMethod_package_data
( self, space, bench_name, bench_params, configuration, fidelity, idx, **kwargs )
transopt/benchmark/problem_base/transfer_problem.py:261
↓ 1 callersMethod_prepare_data_lists
(self, train_combinations, test_combinations, root_dir, augment)
transopt/benchmark/HPOOOD/ooddatasets.py:380
↓ 1 callersMethod_raw_predic_var
(self, X, trees, predictions, min_variance=0.0)
transopt/optimizer/model/rf.py:104
↓ 1 callersMethod_raw_predict
Predict functions distribution(s) for given test point(s) without taking into account data normalization. If `self._normalize` is `False`, ret
transopt/optimizer/model/gp.py:136
↓ 1 callersMethod_run_optimize_process
(self, seed)
transopt/agent/services.py:383
↓ 1 callersMethod_scalarization
(self, Y: np.ndarray, rho)
transopt/optimizer/model/parego.py:32
↓ 1 callersFunction_set_weight
(w, c, v, unit, s, n_obj, dim)
transopt/utils/weights.py:5
↓ 1 callersMethod_setup_routes
(self)
transopt/remote/experiment_server.py:15
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