Mli_general configuration

mli_sample

Sample all explainers. (Boolean)

Default value True

Choose whether to run all explainers on the sampled dataset.

mli_enable_mojo_scorer

Allow use of MOJO scoring pipeline. (Boolean)

Default value True

Use this option to disable MOJO scoring pipeline. Scoring pipeline is chosen automatically (from MOJO and Python pipelines) by default. In case of certain models MOJO vs. Python choice can impact pipeline performance and robustness.

mli_fast_approx

Speed up predictions with a fast approximation. (Boolean)

Default value True

Speed up predictions with a fast approximation (can reduce the number of trees or cross-validation folds).

mli_shapley_sample_size

Sample size for transformed Shapley. (Number)

Default value 100000

When number of rows are above this limit, then sample for MLI transformed Shapley calculation.

mli_custom

Add to config.toml via TOML string. (String)

Default value ''

Add TOML string to Driverless AI server config.toml configuration file.