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Through the command line\n\nAll the functionality in `eensight` is organized around data pipelines. Each pipeline consumes data and other artifacts (such as models) produced by a previous pipeline, and produces new data and artifacts for its successor pipelines.\n\nThere are four (4) pipelines in `eensight`. The names of the pipelines and the associations between pipelines and namespaces are summarized below:\n\n|            \t| train    \t| test   \t| apply   |\n|------------\t|----------\t|----------\t|---------|\n| preprocess \t| \u0026#10004; \t| \u0026#10004; \t| \u0026#10004;|\n| predict    \t| \u0026#10004; \t| \u0026#10004;\t| \u0026#10004;|\n| evaluate    \t|          \t| \u0026#10004;  | \u0026#10004;|\n| adjust    \t|          \t|           | \u0026#10004;|\n\nThe primary way of using `eensight` is through the command line. 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