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| std::string | cuml::genetic::stringify (const program &prog) |
| | Visualize an AST. More...
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| 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...
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| 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...
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| 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...
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| 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...
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| 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...
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