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README.md | il y a 1 an | |
feature_imputation_column_method_job_conf.json | il y a 1 an | |
feature_imputation_designated_job_conf.json | il y a 1 an | |
feature_imputation_job_dsl.json | il y a 1 an | |
feature_imputation_method_job_conf.json | il y a 1 an | |
feature_imputation_method_job_dsl.json | il y a 1 an | |
feature_imputation_testsuite.json | il y a 1 an |
This section introduces the dsl and conf for different types of tasks.
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
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
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.