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unit: def _create_pipeline()
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id: 2
unit: def trainer_fn()
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id: 3
unit: def FeatureSelection()
file: tfx_addons/feature_selection/component.py
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id: 4
unit: def sample_examples()
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id: 5
unit: def __init__()
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id: 6
unit: def setup()
file: tfx_addons/xgboost_evaluator/xgboost_predict_extractor.py
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id: 7
unit: def process()
file: tfx_addons/xgboost_evaluator/xgboost_predict_extractor.py
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id: 8
unit: def _create_pipeline()
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id: 9
unit: def _get_version()
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id: 10
unit: def __init__()
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id: 11
unit: def _eval_input_receiver_fn()
file: tfx_addons/sampling/example/sampler_utils.py
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size: 13 LOC
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id: 12
unit: def _get_data_from_tfrecords()
file: tfx_addons/feature_selection/component.py
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id: 13
unit: def _generate_elements()
file: tfx_addons/sampling/executor.py
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id: 14
unit: def sample_data()
file: tfx_addons/sampling/executor.py
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id: 15
unit: def custom_eval_shared_model()
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id: 16
unit: def _build_estimator()
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id: 17
unit: def _example_serving_receiver_fn()
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id: 18
unit: def _input_fn()
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id: 19
unit: def filter_null()
file: tfx_addons/sampling/executor.py
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id: 20
unit: def write_tfexamples()
file: tfx_addons/sampling/executor.py
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id: 21
unit: def extract_model_specs()
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id: 22
unit: def _fill_in_missing()
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id: 23
unit: def _data_preprocessing()
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id: 24
unit: def _update_example()
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id: 25
unit: def preprocessing_fn()
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id: 26
unit: def read_tfexamples()
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id: 27
unit: def get_artifact_by_type_name()
file: tfx_addons/mlmd_client/client.py
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id: 28
unit: def _get_file_list()
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size: 6 LOC
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id: 29
unit: def __init__()
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size: 6 LOC
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id: 30
unit: def _custom_model_loader_fn()
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size: 6 LOC
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id: 31
unit: def get_pipeline()
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id: 32
unit: def Do()
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id: 33
unit: def __init__()
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id: 34
unit: def Do()
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id: 35
unit: def __init__()
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id: 36
unit: def _mlmd()
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id: 37
unit: def __init__()
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id: 38
unit: def __init__()
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id: 39
unit: def get_pipeline_context()
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id: 40
unit: def schema_fn()
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size: 4 LOC
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number of parameters: 1

id: 41
unit: def _ExtractPredictions()
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size: 4 LOC
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id: 42
unit: def custom_extractors()
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size: 4 LOC
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id: 43
unit: def __repr__()
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id: 44
unit: def __init__()
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id: 45
unit: def from_pipeline()
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unit: def __repr__()
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id: 47
unit: def make_xgboost_predict_extractor()
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id: 48
unit: def connection_config()
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id: 49
unit: def artifact_types()
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id: 50
unit: def name()
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unit: def __repr__()
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unit: def get_module_file()
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unit: def _transformed_name()
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unit: def _transformed_names()
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id: 55
unit: def _get_raw_feature_spec()
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id: 56
unit: def _CreatePipeline()
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