custom

Module to export customized pipeline operators

tasrif.processing_pipeline.custom.add_duration_operator	Operator to aggregate column features based on a column
tasrif.processing_pipeline.custom.aggregate_operator	Operator to aggregate column features based on a column
tasrif.processing_pipeline.custom.categorize_duration_operator	Operator to extract features from a duration column
tasrif.processing_pipeline.custom.categorize_time_operator	Operator to aggregate column features based on a column
tasrif.processing_pipeline.custom.create_feature_operator	Operator to create a new column feature from existing column features
tasrif.processing_pipeline.custom.distributed_upsample_operator	Operator to upsample a timeseries based dataframe in a distributed way
tasrif.processing_pipeline.custom.drop_index_duplicates_operator	Remove duplicate values from one or more dataframes.
tasrif.processing_pipeline.custom.encode_cyclical_features_operator	Operator to aggregate column features based on a column
tasrif.processing_pipeline.custom.filter_operator	Operator to Filter rows or days from patients data
tasrif.processing_pipeline.custom.flatten_operator	Module that defines that FlattenOperator class.
tasrif.processing_pipeline.custom.iterate_json_operator	Operator that returns an iterator of json data.
tasrif.processing_pipeline.custom.jq_operator	Operator to resample a timeseries based dataframe
tasrif.processing_pipeline.custom.json_pivot_operator	Operator that returns an iterator of json data.
tasrif.processing_pipeline.custom.linear_fit_operator	Operator to fit features to target columns using sklearn’s linear regression
tasrif.processing_pipeline.custom.normalize_operator	Operator to normalize the integer/float values in a dataframe
tasrif.processing_pipeline.custom.normalize_transform_operator	Operator to normalize the integer/float values in a dataframe
tasrif.processing_pipeline.custom.one_hot_encoder	Operator to encode (transform) categorical features as a one-hot numeric array.
tasrif.processing_pipeline.custom.participation_overview_operator	Operator to aggregate column features based on a column
tasrif.processing_pipeline.custom.read_csv_folder_operator	Operator to read multiple csvs in a folder
tasrif.processing_pipeline.custom.read_nested_csv_operator	Operator to aggregate column features based on a column
tasrif.processing_pipeline.custom.resample_operator	Operator to resample a timeseries based dataframe
tasrif.processing_pipeline.custom.set_features_value_operator	Operator to select column feature_names with the option to set values for the selected data frame
tasrif.processing_pipeline.custom.set_start_hour_of_day_operator	Operator to visualize participant ID activity per day
tasrif.processing_pipeline.custom.sliding_window_operator	Operator to slide a fixed length window across a timeseries dataframe
tasrif.processing_pipeline.custom.statistics_operator	Operator to aggregate column features based on a column

compose_operator add_duration_operator