Index

_

__git_version__ (in module crayai) __version__ (in module crayai) _calc_perc_good_evaluations() (in module crayai.development.analytics.hpo.plot_utilities) _derive_metric() (in module crayai.development.analytics.hpo.plot_utilities)

_get_experiment_data() (in module crayai.development.analytics.hpo.plot_utilities) _parallel_plot() (in module crayai.development.analytics.hpo.plot_utilities) _plot_number_of_evaluations() (in module crayai.development.analytics.hpo.plot_utilities) _plot_percentage_evaluations_passing_metric_threshold() (in module crayai.development.analytics.hpo.plot_utilities)

B

best_fom (crayai.hpo.genetic_optimizer.GeneticOptimizer attribute) (crayai.hpo.grid_optimizer.GridOptimizer attribute) (crayai.hpo.random_optimizer.RandomOptimizer attribute)

best_params (crayai.hpo.genetic_optimizer.GeneticOptimizer attribute) (crayai.hpo.grid_optimizer.GridOptimizer attribute) (crayai.hpo.random_optimizer.RandomOptimizer attribute)

C

calc_stat() (crayai.analytics.hpo.recommendation.HyperparameterRecommender method) check_data() (crayai.analytics.hpo.recommendation.HyperparameterRecommender method) Condition (class in crayai.hpo.condition) crayai module crayai.analytics.hpo module crayai.analytics.hpo.recommendation module crayai.development.analytics.hpo module crayai.development.analytics.hpo.plot_utilities module

crayai.hpo module crayai.hpo.condition module crayai.hpo.evaluator module crayai.hpo.genetic_optimizer module crayai.hpo.grid_optimizer module crayai.hpo.params module crayai.hpo.random_optimizer module

D

detect_cycle() (crayai.hpo.params.Params method)

E

equals (class in crayai.hpo.condition)

Evaluator (class in crayai.hpo.evaluator)

G

generate_scale_data() (crayai.analytics.hpo.recommendation.HyperparameterRecommender static method) GeneticOptimizer (class in crayai.hpo.genetic_optimizer) get_best_hyperparameter() (crayai.analytics.hpo.recommendation.HyperparameterRecommender method) get_data() (crayai.analytics.hpo.recommendation.HyperparameterRecommender method)

get_dependency_graph_as_str() (crayai.hpo.params.Params method) get_ordered_param_when_valid() (crayai.hpo.params.Params method) get_params() (crayai.hpo.params.Params method) greater_than (class in crayai.hpo.condition) GridOptimizer (class in crayai.hpo.grid_optimizer)

H

HyperparameterRecommender (class in crayai.analytics.hpo.recommendation)

I

infer_columns() (crayai.analytics.hpo.recommendation.HyperparameterRecommender static method)

inside (class in crayai.hpo.condition)

L

less_than (class in crayai.hpo.condition) load_dataset() (crayai.analytics.hpo.recommendation.HyperparameterRecommender method)

load_experiments() (crayai.analytics.hpo.recommendation.HyperparameterRecommender static method) load_log() (crayai.analytics.hpo.recommendation.HyperparameterRecommender method)

M

module crayai crayai.analytics.hpo crayai.analytics.hpo.recommendation crayai.development.analytics.hpo crayai.development.analytics.hpo.plot_utilities crayai.hpo crayai.hpo.condition crayai.hpo.evaluator crayai.hpo.genetic_optimizer crayai.hpo.grid_optimizer crayai.hpo.params crayai.hpo.random_optimizer

N

not_equals (class in crayai.hpo.condition)

O

optimize() (crayai.hpo.genetic_optimizer.GeneticOptimizer method) (crayai.hpo.grid_optimizer.GridOptimizer method) (crayai.hpo.random_optimizer.RandomOptimizer method)

P

Params (class in crayai.hpo.params) plot_experiments() (crayai.analytics.hpo.recommendation.HyperparameterRecommender static method) plot_experiments_from_files() (crayai.analytics.hpo.recommendation.HyperparameterRecommender static method)

plot_hyperparameter() (crayai.analytics.hpo.recommendation.HyperparameterRecommender method) preprocess_log_hp_entry() (crayai.analytics.hpo.recommendation.HyperparameterRecommender static method) preview() (crayai.analytics.hpo.recommendation.HyperparameterRecommender method)

R

RandomOptimizer (class in crayai.hpo.random_optimizer)

S

serialize_graph() (crayai.hpo.params.Params method)

show_metadata() (crayai.analytics.hpo.recommendation.HyperparameterRecommender method)

T

type_as_str() (crayai.hpo.condition.Condition method)