vtreat Learner Python

Options

Input variables only:: use indicators variables in your model only. %%00010%%00010(vtreat prepared variables types: clean_copy, missing_indicator, and indicator_code)
Filter to recommended variables:: Filter to vtreat recommended variables%%00010%%00010This is ignored when problem type is 'unsupervised'
Ignore Columns: columns to ignore and passthrough treated
Target Column:: Select the column containing the value to be learned. Rows with missing values in this column are filtered out during the learning process.%%00010%%00010Selection is ignored if problem type is 'unsupervised'
Determine minimum fraction of a level within a categorical variable:: The indicator_min_fraction parameter is used specifically in the treatment of categorical variables. It determines the minimum fraction a level (category) within a categorical variable must have to get its own indicator variable (dummy variable) in the output.
Problem Type:: Type of ML problem