BOOMER Python API
mlrl package
BOOMER Python API
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Index
Index
A
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B
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C
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D
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E
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F
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G
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I
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L
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M
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N
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O
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P
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R
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S
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T
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W
A
AbstractEvaluation (class in mlrl.testbed.evaluation)
Attribute (class in mlrl.testbed.data)
AttributeType (class in mlrl.testbed.data)
AUTO (mlrl.common.rule_learners.SparsePolicy attribute)
avg() (mlrl.testbed.evaluation.EvaluationResult method)
avg_dict() (mlrl.testbed.evaluation.EvaluationResult method)
B
BbcCv (class in mlrl.testbed.bbc_cv)
BbcCvAdapter (class in mlrl.testbed.bbc_cv)
BbcCvObserver (class in mlrl.testbed.bbc_cv)
BooleanOption (class in mlrl.common.options)
Boomer (class in mlrl.boosting.boosting_learners)
bootstrap() (mlrl.testbed.bbc_cv.Bootstrapping method)
(mlrl.testbed.bbc_cv.CVBootstrapping method)
(mlrl.testbed.bbc_cv.DefaultBootstrapping method)
Bootstrapping (class in mlrl.testbed.bbc_cv)
C
ClassificationEvaluation (class in mlrl.testbed.evaluation)
clear_directory() (in module mlrl.testbed.io)
create() (mlrl.common.options.Options class method)
create_csv_dict_reader() (in module mlrl.testbed.io)
create_csv_dict_writer() (in module mlrl.testbed.io)
create_feature_sampling_factory() (in module mlrl.common.rule_learners)
create_instance_sampling_factory() (in module mlrl.common.rule_learners)
create_label_sampling_factory() (in module mlrl.common.rule_learners)
create_num_threads() (in module mlrl.common.rule_learners)
create_partition_sampling_factory() (in module mlrl.common.rule_learners)
create_pruning() (in module mlrl.common.rule_learners)
create_sparse_policy() (in module mlrl.common.rule_learners)
create_stopping_criteria() (in module mlrl.common.rule_learners)
create_thresholds_factory() (in module mlrl.common.rule_learners)
CrossValidation (class in mlrl.testbed.training)
CSC (mlrl.common.rule_learners.SparseFormat attribute)
CSR (mlrl.common.rule_learners.SparseFormat attribute)
CV (class in mlrl.testbed.bbc_cv)
CVBootstrapping (class in mlrl.testbed.bbc_cv)
D
DataSet (class in mlrl.testbed.training)
DefaultBbcCvObserver (class in mlrl.testbed.bbc_cv)
DefaultBootstrapping (class in mlrl.testbed.bbc_cv)
dict() (mlrl.testbed.evaluation.EvaluationResult method)
E
enforce_dense() (in module mlrl.common.arrays)
ERROR_MESSAGE_INVALID_OPTION (mlrl.common.options.Options attribute)
ERROR_MESSAGE_INVALID_SYNTAX (mlrl.common.options.Options attribute)
evaluate() (mlrl.testbed.bbc_cv.BbcCv method)
(mlrl.testbed.bbc_cv.BbcCvObserver method)
(mlrl.testbed.bbc_cv.DefaultBbcCvObserver method)
(mlrl.testbed.evaluation.AbstractEvaluation method)
(mlrl.testbed.evaluation.Evaluation method)
Evaluation (class in mlrl.testbed.evaluation)
EvaluationCsvOutput (class in mlrl.testbed.evaluation)
EvaluationLogOutput (class in mlrl.testbed.evaluation)
EvaluationOutput (class in mlrl.testbed.evaluation)
EvaluationResult (class in mlrl.testbed.evaluation)
Experiment (class in mlrl.testbed.experiments)
F
FALSE (mlrl.common.options.BooleanOption attribute)
fit() (mlrl.common.learners.Learner method)
(mlrl.testbed.bbc_cv.BbcCvAdapter method)
FORCE_DENSE (mlrl.common.rule_learners.SparsePolicy attribute)
FORCE_SPARSE (mlrl.common.rule_learners.SparsePolicy attribute)
format_dict_keys() (in module mlrl.common.strings)
format_enum_values() (in module mlrl.common.strings)
format_string_set() (in module mlrl.common.strings)
G
get() (mlrl.testbed.evaluation.EvaluationResult method)
get_attribute_indices() (mlrl.testbed.data.MetaData method)
get_bool() (mlrl.common.options.Options method)
get_file_name() (in module mlrl.testbed.io)
get_file_name_per_fold() (in module mlrl.testbed.io)
get_float() (mlrl.common.options.Options method)
get_int() (mlrl.common.options.Options method)
get_name() (mlrl.boosting.boosting_learners.Boomer method)
(mlrl.common.learners.Learner method)
get_params() (mlrl.testbed.parameters.ParameterSearch method)
get_score() (mlrl.testbed.parameters.ParameterSearch method)
get_string() (mlrl.common.options.Options method)
I
is_sparse() (in module mlrl.common.rule_learners)
L
Label (class in mlrl.testbed.data)
Learner (class in mlrl.common.learners)
load_data_set() (in module mlrl.testbed.data)
load_data_set_and_meta_data() (in module mlrl.testbed.data)
load_model() (mlrl.testbed.persistence.ModelPersistence method)
M
MetaData (class in mlrl.testbed.data)
mlrl
module
mlrl.boosting
module
mlrl.boosting.boosting_learners
module
mlrl.common
module
mlrl.common.arrays
module
mlrl.common.learners
module
mlrl.common.options
module
mlrl.common.rule_learners
module
mlrl.common.strings
module
mlrl.common.types
module
mlrl.testbed
module
mlrl.testbed.bbc_cv
module
mlrl.testbed.data
module
mlrl.testbed.evaluation
module
mlrl.testbed.experiments
module
mlrl.testbed.interfaces
module
mlrl.testbed.io
module
mlrl.testbed.parameters
module
mlrl.testbed.persistence
module
mlrl.testbed.printing
module
mlrl.testbed.training
module
MLRuleLearner (class in mlrl.common.rule_learners)
ModelPersistence (class in mlrl.testbed.persistence)
ModelPrinter (class in mlrl.testbed.printing)
ModelPrinterLogOutput (class in mlrl.testbed.printing)
ModelPrinterOutput (class in mlrl.testbed.printing)
ModelPrinterTxtOutput (class in mlrl.testbed.printing)
module
mlrl
mlrl.boosting
mlrl.boosting.boosting_learners
mlrl.common
mlrl.common.arrays
mlrl.common.learners
mlrl.common.options
mlrl.common.rule_learners
mlrl.common.strings
mlrl.common.types
mlrl.testbed
mlrl.testbed.bbc_cv
mlrl.testbed.data
mlrl.testbed.evaluation
mlrl.testbed.experiments
mlrl.testbed.interfaces
mlrl.testbed.io
mlrl.testbed.parameters
mlrl.testbed.persistence
mlrl.testbed.printing
mlrl.testbed.training
N
NestedCrossValidation (class in mlrl.testbed.parameters)
NOMINAL (mlrl.testbed.data.AttributeType attribute)
nominal_attribute_indices (mlrl.common.learners.NominalAttributeLearner attribute)
NominalAttributeLearner (class in mlrl.common.learners)
NUMERIC (mlrl.testbed.data.AttributeType attribute)
O
one_hot_encode() (in module mlrl.testbed.data)
open_readable_csv_file() (in module mlrl.testbed.io)
open_writable_csv_file() (in module mlrl.testbed.io)
open_writable_txt_file() (in module mlrl.testbed.io)
Options (class in mlrl.common.options)
P
ParameterCsvInput (class in mlrl.testbed.parameters)
ParameterCsvOutput (class in mlrl.testbed.parameters)
ParameterInput (class in mlrl.testbed.parameters)
ParameterLogOutput (class in mlrl.testbed.parameters)
ParameterOutput (class in mlrl.testbed.parameters)
ParameterSearch (class in mlrl.testbed.parameters)
ParameterTuning (class in mlrl.testbed.parameters)
parse() (mlrl.common.options.BooleanOption static method)
parse_param() (in module mlrl.common.rule_learners)
parse_param_and_options() (in module mlrl.common.rule_learners)
predict() (mlrl.common.learners.Learner method)
(mlrl.testbed.bbc_cv.BbcCvAdapter method)
predict_proba() (mlrl.common.learners.Learner method)
print() (mlrl.testbed.printing.ModelPrinter method)
put() (mlrl.testbed.evaluation.EvaluationResult method)
R
random_state (mlrl.testbed.interfaces.Randomized attribute)
Randomized (class in mlrl.testbed.interfaces)
RankingEvaluation (class in mlrl.testbed.evaluation)
read_parameters() (mlrl.testbed.parameters.ParameterCsvInput method)
(mlrl.testbed.parameters.ParameterInput method)
RulePrinter (class in mlrl.testbed.printing)
run() (mlrl.testbed.bbc_cv.BbcCvAdapter method)
(mlrl.testbed.experiments.Experiment method)
(mlrl.testbed.training.CrossValidation method)
S
save_arff_file() (in module mlrl.testbed.data)
save_data_set() (in module mlrl.testbed.data)
save_data_set_and_meta_data() (in module mlrl.testbed.data)
save_meta_data() (in module mlrl.testbed.data)
save_model() (mlrl.testbed.persistence.ModelPersistence method)
search() (mlrl.testbed.parameters.NestedCrossValidation method)
(mlrl.testbed.parameters.ParameterSearch method)
should_enforce_sparse() (in module mlrl.common.rule_learners)
SparseFormat (class in mlrl.common.rule_learners)
SparsePolicy (class in mlrl.common.rule_learners)
store_predictions() (mlrl.testbed.bbc_cv.BbcCv method)
T
TRUE (mlrl.common.options.BooleanOption attribute)
W
write_evaluation_results() (mlrl.testbed.evaluation.EvaluationCsvOutput method)
(mlrl.testbed.evaluation.EvaluationLogOutput method)
(mlrl.testbed.evaluation.EvaluationOutput method)
write_model() (mlrl.testbed.printing.ModelPrinterLogOutput method)
(mlrl.testbed.printing.ModelPrinterOutput method)
(mlrl.testbed.printing.ModelPrinterTxtOutput method)
write_parameters() (mlrl.testbed.parameters.ParameterCsvOutput method)
(mlrl.testbed.parameters.ParameterLogOutput method)
(mlrl.testbed.parameters.ParameterOutput method)
write_predictions() (mlrl.testbed.evaluation.EvaluationCsvOutput method)
(mlrl.testbed.evaluation.EvaluationLogOutput method)
(mlrl.testbed.evaluation.EvaluationOutput method)
write_xml_file() (in module mlrl.testbed.io)