Available in: GBM, DRF, Deep Learning, GLM, GAM, PCA, GLRM, Naïve-Bayes, K-Means, XGBoost, Aggregator, CoxPH, Isolation Forest, Extended Isolation Forest, Uplift DRF, AdaBoost
Note: This command is only available in the Python client and in Flow. It is not available in R.
There may be instances when your dataset includes information that you want to be ignored when building a model. Use the
ignored_columns parameter to specify an array of column names that should be ignored. This is a strict parameter that takes into account the exact string of the column name. So, for example, if your dataset includes one column named Type and another column named Types, and you specify
ignored_columns=["type"], then the algorithm will only ignore the Type column and will not ignore the Types column.
ignored_columns cannot be specified simultaneously.