- x
(Optional) A vector containing the names or indices of the predictor variables to use in building the model.
If x is missing, then all columns except y are used.

- y
The name or column index of the response variable in the data. The response must be either a binary
categorical/factor variable or a numeric variable with values -1/1 (for compatibility with SVMlight format).

- training_frame
Id of the training data frame.

- model_id
Destination id for this model; auto-generated if not specified.

- validation_frame
Id of the validation data frame.

- ignore_const_cols
`Logical`

. Ignore constant columns. Defaults to TRUE.

- hyper_param
Penalty parameter C of the error term Defaults to 1.

- kernel_type
Type of used kernel Must be one of: "gaussian". Defaults to gaussian.

- gamma
Coefficient of the kernel (currently RBF gamma for gaussian kernel, -1 means 1/#features) Defaults to -1.

- rank_ratio
Desired rank of the ICF matrix expressed as an ration of number of input rows (-1 means use sqrt(#rows)).
Defaults to -1.

- positive_weight
Weight of positive (+1) class of observations Defaults to 1.

- negative_weight
Weight of positive (-1) class of observations Defaults to 1.

- disable_training_metrics
`Logical`

. Disable calculating training metrics (expensive on large datasets) Defaults to TRUE.

- sv_threshold
Threshold for accepting a candidate observation into the set of support vectors Defaults to 0.0001.

- fact_threshold
Convergence threshold of the Incomplete Cholesky Factorization (ICF) Defaults to 1e-05.

- feasible_threshold
Convergence threshold for primal-dual residuals in the IPM iteration Defaults to 0.001.

- surrogate_gap_threshold
Feasibility criterion of the surrogate duality gap (eta) Defaults to 0.001.

- mu_factor
Increasing factor mu Defaults to 10.

- max_iterations
Maximum number of iteration of the algorithm Defaults to 200.

- seed
Seed for random numbers (affects certain parts of the algo that are stochastic and those might or might not be enabled by default).
Defaults to -1 (time-based random number).