| 
| std::string  | cuml::genetic::stringify (const program &prog) | 
|   | Visualize an AST.  More...
  | 
|   | 
| void  | cuml::genetic::symFit (const raft::handle_t &handle, const float *input, const float *labels, const float *sample_weights, const int n_rows, const int n_cols, param ¶ms, program_t &final_progs, std::vector< std::vector< program >> &history) | 
|   | Fit either a regressor, classifier or a transformer to the given dataset.  More...
  | 
|   | 
| void  | cuml::genetic::symRegPredict (const raft::handle_t &handle, const float *input, const int n_rows, const program_t &best_prog, float *output) | 
|   | Make predictions for a symbolic regressor.  More...
  | 
|   | 
| void  | cuml::genetic::symClfPredictProbs (const raft::handle_t &handle, const float *input, const int n_rows, const param ¶ms, const program_t &best_prog, float *output) | 
|   | Probability prediction for a symbolic classifier. If a transformer(like sigmoid) is specified, then it is applied on the output before returning it.  More...
  | 
|   | 
| void  | cuml::genetic::symClfPredict (const raft::handle_t &handle, const float *input, const int n_rows, const param ¶ms, const program_t &best_prog, float *output) | 
|   | Return predictions for a binary classification program defining the decision boundary.  More...
  | 
|   | 
| void  | cuml::genetic::symTransform (const raft::handle_t &handle, const float *input, const param ¶ms, const program_t &final_progs, const int n_rows, const int n_cols, float *output) | 
|   | Transform the values in the input feature matrix according to the supplied programs.  More...
  | 
|   |