Index

Symbols

--ablation run_experiment command line option summarize_results command line option --ablation_all run_experiment command line option --arff_regression skll_convert command line option --arff_relation skll_convert command line option --drop-blanks filter_features command line option --feature filter_features command line option --id filter_features command line option --id_col filter_features command line option generate_predictions command line option --input filter_features command line option --inverse filter_features command line option --k print_model_weights command line option --keep-models run_experiment command line option --label filter_features command line option --label_col filter_features command line option generate_predictions command line option join_features command line option skll_convert command line option --local run_experiment command line option --machines run_experiment command line option --no_labels skll_convert command line option --output filter_features command line option --output_file generate_predictions command line option --predict_labels generate_predictions command line option --queue run_experiment command line option --quiet filter_features command line option generate_predictions command line option join_features command line option skll_convert command line option --replace-blanks-with filter_features command line option --resume run_experiment command line option --reuse_libsvm_map skll_convert command line option --sign print_model_weights command line option

--sort_by_labels print_model_weights command line option --threshold generate_predictions command line option --verbose run_experiment command line option --version compute_eval_from_predictions command line option filter_features command line option generate_predictions command line option join_features command line option print_model_weights command line option run_experiment command line option skll_convert command line option summarize_results command line option -A run_experiment command line option -a run_experiment command line option summarize_results command line option -db filter_features command line option -f filter_features command line option -I filter_features command line option -i filter_features command line option generate_predictions command line option -k run_experiment command line option -L filter_features command line option -l filter_features command line option generate_predictions command line option join_features command line option run_experiment command line option skll_convert command line option -m run_experiment command line option -o filter_features command line option generate_predictions command line option -p generate_predictions command line option -q filter_features command line option generate_predictions command line option join_features command line option run_experiment command line option skll_convert command line option -r run_experiment command line option -rb filter_features command line option -t generate_predictions command line option -v run_experiment command line option

A

ARFFReader (class in skll.data.readers)

ARFFWriter (class in skll.data.writers)

C

CLASSIFICATION_ONLY_METRICS (in module skll.utils.constants) ClassMap (in module skll.types) compute_eval_from_predictions command line option --version examples_file metric_names predictions_file ComputeEvalMetricsResults (in module skll.types)

ConfusionMatrix (in module skll.types) correlation() (in module skll.metrics) CORRELATION_METRICS (in module skll.utils.constants) cross_validate() (skll.learner.Learner method) (skll.learner.voting.VotingLearner method) CrossValidateTaskResults (in module skll.types) CSVReader (class in skll.data.readers) CSVWriter (class in skll.data.writers)

D

DictListReader (class in skll.data.readers)

E

evaluate() (skll.learner.Learner method) (skll.learner.voting.VotingLearner method)

EvaluateTaskResults (in module skll.types) examples_file compute_eval_from_predictions command line option

F

f1_score_least_frequent() (in module skll.metrics) FeatGenerator (in module skll.types) FeatureDict (in module skll.types) FeatureDictList (in module skll.types) FeatureSet (class in skll.data.featureset) FeaturesetIterator (in module skll.types) filter() (skll.data.featureset.FeatureSet method) filter_features command line option --drop-blanks --feature --id --id_col --input --inverse --label --label_col --output --quiet --replace-blanks-with --version -db -f -i -I -L -l -o -q -rb

filtered_iter() (skll.data.featureset.FeatureSet method) fix_json() (in module skll.config) FoldMapping (in module skll.types) for_path() (skll.data.readers.Reader class method) (skll.data.writers.Writer class method) from_data_frame() (skll.data.featureset.FeatureSet static method) from_file() (skll.learner.Learner class method) (skll.learner.voting.VotingLearner class method)

G

generate_predictions command line option --id_col --label_col --output_file --predict_labels --quiet --threshold --version -i -l -o -p -q -t input_file(s) model_file

get_feature_names_out() (skll.learner.Learner method) get_skll_logger() (in module skll.utils.logging)

H

has_labels (skll.data.featureset.FeatureSet property)

I

IdType (in module skll.types) IndexIterator (in module skll.types) infile join_features command line option skll_convert command line option

input_file(s) generate_predictions command line option

J

join_features command line option --label_col --quiet --version -l -q infile outfile

json_file summarize_results command line option

K

kappa() (in module skll.metrics)

L

LabelType (in module skll.types) Learner (class in skll.learner) learners (skll.learner.voting.VotingLearner property) learning_curve() (skll.learner.Learner method) (skll.learner.voting.VotingLearner method) LearningCurveSizes (in module skll.types)

LibSVMReader (class in skll.data.readers) LibSVMWriter (class in skll.data.writers) load() (skll.learner.Learner method) load_custom_learner() (in module skll.learner) load_cv_folds() (in module skll.config) locate_file() (in module skll.config)

M

metric_names compute_eval_from_predictions command line option model (skll.learner.Learner property) (skll.learner.voting.VotingLearner property) model_file generate_predictions command line option print_model_weights command line option model_kwargs (skll.learner.Learner property)

model_params (skll.learner.Learner property) model_type (skll.learner.Learner property) (skll.learner.voting.VotingLearner property) module skll.data.featureset skll.learner skll.learner.voting skll.metrics

N

NDJReader (class in skll.data.readers)

NDJWriter (class in skll.data.writers)

O

outfile join_features command line option skll_convert command line option

output_dir plot_learning_curves command line option

P

PathOrStr (in module skll.types) plot_learning_curves command line option output_dir tsv_file predict() (skll.learner.Learner method) (skll.learner.voting.VotingLearner method) predictions_file compute_eval_from_predictions command line option

print_model_weights command line option --k --sign --sort_by_labels --version model_file PROBABILISTIC_METRICS (in module skll.utils.constants) probability (skll.learner.Learner property)

R

read() (skll.data.readers.DictListReader method) (skll.data.readers.Reader method) Reader (class in skll.data.readers) register_custom_metric() (in module skll.metrics) REGRESSION_ONLY_METRICS (in module skll.utils.constants) run_experiment command line option --ablation --ablation_all --keep-models --local --machines --queue --resume --verbose --version -a -A -k -l -m -q -r -v

S

save() (skll.learner.Learner method) (skll.learner.voting.VotingLearner method) skll.data.featureset module skll.learner module skll.learner.voting module skll.metrics module skll_convert command line option --arff_regression --arff_relation --label_col --no_labels --quiet --reuse_libsvm_map --version -l -q infile outfile

SparseFeatureMatrix (in module skll.types) split() (skll.data.featureset.FeatureSet static method) split_with_quotes() (skll.data.readers.ARFFReader static method) summarize_results command line option --ablation --version -a json_file summary_file summary_file summarize_results command line option

T

train() (skll.learner.Learner method) (skll.learner.voting.VotingLearner method) tsv_file plot_learning_curves command line option

TSVReader (class in skll.data.readers) TSVWriter (class in skll.data.writers)

U

UNWEIGHTED_KAPPA_METRICS (in module skll.utils.constants)

use_score_func() (in module skll.metrics)

V

VotingCrossValidateTaskResults (in module skll.types)

VotingLearner (class in skll.learner.voting)

W

WEIGHTED_KAPPA_METRICS (in module skll.utils.constants)

write() (skll.data.writers.Writer method) Writer (class in skll.data.writers)