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| void | cuml::genetic::execute (const raft::handle_t &h, const program_t &d_progs, const int n_rows, const int n_progs, const float *data, float *y_pred) |
| | Calls the execution kernel to evaluate all programs on the given dataset. More...
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| void | cuml::genetic::compute_metric (const raft::handle_t &h, int n_rows, int n_progs, const float *y, const float *y_pred, const float *w, float *score, const param ¶ms) |
| | Compute the loss based on the metric specified in the training hyperparameters. It performs a batched computation for all programs in one shot. More...
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| void | cuml::genetic::find_fitness (const raft::handle_t &h, program_t &d_prog, float *score, const param ¶ms, const int n_rows, const float *data, const float *y, const float *sample_weights) |
| | Computes the fitness scores for a sngle program on the given dataset. More...
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| void | cuml::genetic::find_batched_fitness (const raft::handle_t &h, int n_progs, program_t &d_progs, float *score, const param ¶ms, const int n_rows, const float *data, const float *y, const float *sample_weights) |
| | Computes the fitness scores for all programs on the given dataset. More...
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| void | cuml::genetic::set_fitness (const raft::handle_t &h, program_t &d_prog, program &h_prog, const param ¶ms, const int n_rows, const float *data, const float *y, const float *sample_weights) |
| | Computes and sets the fitness scores for a single program on the given dataset. More...
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| void | cuml::genetic::set_batched_fitness (const raft::handle_t &h, int n_progs, program_t &d_progs, std::vector< program > &h_progs, const param ¶ms, const int n_rows, const float *data, const float *y, const float *sample_weights) |
| | Computes and sets the fitness scores for all programs on the given dataset. More...
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| float | cuml::genetic::get_fitness (const program &prog, const param ¶ms) |
| | Returns precomputed fitness score of program on the host, after accounting for parsimony. More...
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| int | cuml::genetic::get_depth (const program &p_out) |
| | Evaluates and returns the depth of the current program. More...
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| void | cuml::genetic::build_program (program &p_out, const param ¶ms, std::mt19937 &rng) |
| | Build a random program with depth atmost 10. More...
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| void | cuml::genetic::point_mutation (const program &prog, program &p_out, const param ¶ms, std::mt19937 &rng) |
| | Perform a point mutation on the given program(AST) More...
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| void | cuml::genetic::crossover (const program &prog, const program &donor, program &p_out, const param ¶ms, std::mt19937 &rng) |
| | Perform a 'hoisted' crossover mutation using the parent and donor programs. The donor subtree selected is hoisted to ensure our constrains on total depth. More...
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| void | cuml::genetic::subtree_mutation (const program &prog, program &p_out, const param ¶ms, std::mt19937 &rng) |
| | Performs a crossover mutation with a randomly built new program. Since crossover is 'hoisted', this will ensure that depth constrains are not violated. More...
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| void | cuml::genetic::hoist_mutation (const program &prog, program &p_out, const param ¶ms, std::mt19937 &rng) |
| | Perform a hoist mutation on a random subtree of the given program (replace a subtree with a subtree of a subtree) More...
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