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README.md 9279d1873b Add projects il y a 1 an
feature_imputation_column_method_job_conf.json 9279d1873b Add projects il y a 1 an
feature_imputation_designated_job_conf.json 9279d1873b Add projects il y a 1 an
feature_imputation_job_dsl.json 9279d1873b Add projects il y a 1 an
feature_imputation_method_job_conf.json 9279d1873b Add projects il y a 1 an
feature_imputation_method_job_dsl.json 9279d1873b Add projects il y a 1 an
feature_imputation_testsuite.json 9279d1873b Add projects il y a 1 an

README.md

Feature Imputation Configuration Usage Guide.

Example Tasks

This section introduces the dsl and conf for different types of tasks.

  1. Feature Imputation using Designated Replace Value for All Columns:

    example-data: (1) guest: breast_hetero_guest.csv (2) host: breast_hetero_host.csv

    dsl: feature_imputation_job_dsl.json

    runtime_config : feature_imputation_designated_conf.json

  2. Feature Imputation using the Same Method for All Columns:

    example-data: (1) guest: dvisits_hetero_guest.csv (2) host: dvisists_hetero_host.csv

    dsl: feature_imputation_job_dsl.json

    runtime_config : feature_imputation_method_conf.json

  3. Feature Imputation using Different Methods for Different Columns:

    example-data: (1) guest: dvisits_hetero_guest.csv (2) host: dvisists_hetero_host.csv

    dsl: feature_imputation_job_dsl.json

    runtime_config : feature_imputation_column_method_conf.json

Users can use following commands to run a task.

flow job submit -c ${runtime_config} -d ${dsl}

Moreover, after successfully running the training task, you can use it to predict too.