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unit: def process_status()
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unit: def fetch_tweets()
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unit: def main()
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unit: def find_optimal_threshold()
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unit: def determine_changed_bucket_policy()
file: social-media/create-aml-model.py
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unit: def check_bucket_policy()
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unit: def prepare()
file: social-media/scanner.py
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unit: def _guess_variable_type()
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unit: def poll_until_completed()
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unit: def realtime_predict()
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unit: def main()
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unit: def create_ml_model()
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unit: def create_data_source()
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unit: def create_model()
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unit: def user_to_map()
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unit: def main()
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unit: def parse_options()
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unit: def use_model()
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unit: def status_to_map()
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unit: def plot_class_histograms()
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unit: def validate()
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unit: def upload_lambda_function()
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unit: def scan()
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id: 27
unit: def plot_threshold_costs()
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unit: def build_rearrangement_str()
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unit: def create_data_source_for_scoring()
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id: 30
unit: def add_kinesis_as_source_to_lambda()
file: social-media/create-lambda-function.py
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unit: def parse_args_to_dict()
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unit: def poll_until_completed()
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id: 33
unit: def create_lambda_function_zip()
file: social-media/create-lambda-function.py
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id: 34
unit: private void getRealtimeEndpoint()
file: mobile-android/AndroidRealtimePrediction.java
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id: 35
unit: def main()
file: social-media/create-lambda-function.py
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id: 36
unit: def batch_predictions_already_evaluated()
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unit: def from_file()
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unit: def __init__()
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unit: def create_evaluation()
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unit: def poll_until_ready()
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id: 41
unit: def read_test_predictions()
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unit: def __init__()
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unit: def get_variable_by_idx()
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unit: def _guess_schema_from_data()
file: ml-tools-python/awspyml.py
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unit: def build_datasource_name()
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unit: def create_eval()
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unit: def main()
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unit: def complete_batch_prediction()
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unit: def batch_prediction_data_bucket_key()
file: cost-based-ml/cost_based_ml.py
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unit: def parse_handle()
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unit: def create_role()
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id: 52
unit: public PredictResult predict()
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unit: def _new()
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unit: def _load_csv_data()
file: ml-tools-python/awspyml.py
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unit: def build_folds()
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unit: def sleep_then_update_flags()
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unit: def role_exists()
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unit: def create_stream()
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unit: def delete_realtime_endpoint()
file: ml-tools-python/realtime.py
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unit: def aml_connection()
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unit: def _guess_if_header_line_present()
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unit: def pretty_print()
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unit: def build_string_to_string_dictionary()
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unit: public AndroidRealtimePrediction()
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unit: def _json_kwargs()
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unit: def build()
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unit: def pause_until_kinesis_active()
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unit: def as_obj()
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unit: def utc_now_str()
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unit: def apply_costs()
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unit: def new_data_source_id()
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