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]
A
absolute
(in
dataprocessor.sax.jcml2array
)
add_features_tgt()
(in
FeatureGenerator
)
arcsinh
(in
dataprocessor.sax.jcml2array
)
AbstractClassifier
(in
ml.var.registry
)
add_features_tgt()
(in
Preprocessor
)
arctan
(in
dataprocessor.sax.jcml2array
)
acrolinxclient
(in
featuregenerator.iq
)
add_judgment_id()
(in
ParallelSentence
)
arctan2
(in
dataprocessor.sax.jcml2array
)
add
(in
dataprocessor.sax.jcml2array
)
add_parallelsentence()
(in
IncrementalJcml
)
arctanh
(in
dataprocessor.sax.jcml2array
)
add_attribute()
(in
SimpleSentence
)
adjust_indices()
(in
featuregenerator.hjerson
)
ArffWriter
(in
support.preprocessing.jcml.jcml2arff
)
add_attribute_vector()
(in
DataSet
)
align
(in
support.preprocessing.jcml
)
assert_number()
(in
ml.lib.scikit.sklearn_utils
)
add_attributes()
(in
ParallelSentence
)
all_sets
(in
app.autoranking.annotate_batch
)
assert_string()
(in
ml.lib.scikit.sklearn_utils
)
add_attributes()
(in
SimpleSentence
)
allmetrics()
(in
evaluation.ranking.set
)
AssertionError
add_features_batch()
(in
FeatureGenerator
)
ALLOW_THREADS
(in
dataprocessor.sax.jcml2array
)
attribute_rank
(in
featuregenerator
)
add_features_batch()
(in
LanguageCheckerCmd
)
AnalyticPairwiseDataset
(in
sentence.pairwisedataset
)
AttributeLineReader
(in
dataprocessor.input.linereader
)
add_features_batch()
(in
LanguageFeatureGenerator
)
AnalyticPairwiseParallelSentenceSet
(in
sentence.pairwiseparallelsentenceset
)
AttributeRankGenerator
(in
featuregenerator.attribute_rank
)
add_features_batch()
(in
BerkeleyFeatureGenerator
)
analyze()
(in
BinaryHjerson
)
attributes
(in
dataprocessor.input.testorange
)
add_features_batch()
(in
BerkeleyXMLRPCFeatureGenerator
)
analyze()
(in
Hjerson
)
AttributesReader
(in
dataprocessor.input.orangeprocessor
)
add_features_batch_xml()
(in
LanguageFeatureGenerator
)
analyze_external_features()
(in
app.autoranking.annotate_batch
)
autoranker
(in
app.autoranking.xmlrpcserver
)
add_features_dataset()
(in
FeatureGenerator
)
annotate_batch
(in
app.autoranking
)
autoranking
(in
app
)
add_features_dataset()
(in
LanguageFeatureGenerator
)
annotated_filenames
(in
app.autoranking.annotate_batch
)
Autoranking
(in
app.autoranking.application
)
add_features_parallelsentence()
(in
AttributeRankGenerator
)
app
AutorankingSuite
(in
app.autoranking.decode_batch
)
add_features_parallelsentence()
(in
FeatureGenerator
)
append_dataset()
(in
DataSet
)
AutorankingSuite
(in
app.autoranking.suite
)
add_features_parallelsentence()
(in
Ranker
)
application
(in
app.autoranking
)
avg_first_ranked()
(in
Scoring
)
add_features_simplesentence()
(in
FeatureGenerator
)
arccos
(in
dataprocessor.sax.jcml2array
)
avg_ndgc_err()
(in
evaluation.ranking.set
)
add_features_src()
(in
FeatureGenerator
)
arccosh
(in
dataprocessor.sax.jcml2array
)
avg_predicted_ranked()
(in
evaluation.ranking.set
)
add_features_src()
(in
Preprocessor
)
arcsin
(in
dataprocessor.sax.jcml2array
)
avg_predicted_ranked()
(in
Scoring
)
B
bayes
(in
ml.var
)
BerkeleySocketFeatureGenerator
(in
featuregenerator.parser.berkeley.berkeleyclient
)
bitwise_or
(in
dataprocessor.sax.jcml2array
)
Bayes
(in
ml.var.bayes
)
BerkeleyXMLRPCFeatureGenerator
(in
featuregenerator.parser.berkeley.berkeleyclient
)
bitwise_xor
(in
dataprocessor.sax.jcml2array
)
berkeley
(in
featuregenerator.parser
)
best_predicted_vs_human()
(in
evaluation.ranking.set
)
bleu
(in
featuregenerator
)
berkeleyclient
(in
featuregenerator.parser.berkeley
)
best_predicted_vs_human()
(in
Scoring
)
bleu
(in
featuregenerator.bleu
)
BerkeleyFeatureGenerator
(in
featuregenerator.parser.berkeley.berkeleyclient
)
bestsystem
(in
featuregenerator
)
bleugenerator
(in
featuregenerator.bleu
)
BerkeleyFeatureGenerator
(in
util.paralleltemplate
)
BestSystemFeatureGenerator
(in
featuregenerator.bestsystem
)
BleuGenerator
(in
featuregenerator.bleu.bleugenerator
)
BerkeleyFeatures
(in
featuregenerator.parser.berkeley.standalone_parser_client
)
BinaryHjerson
(in
featuregenerator.hjerson
)
block_count()
(in
featuregenerator.hjerson
)
berkeleyparsersocket
(in
featuregenerator.parser.berkeley.socket
)
bitwise_and
(in
dataprocessor.sax.jcml2array
)
bootstrap
(in
app.autoranking
)
BerkeleyParserSocket
(in
featuregenerator.parser.berkeley.socket.berkeleyparsersocket
)
bitwise_not
(in
dataprocessor.sax.jcml2array
)
BUFSIZE
(in
dataprocessor.sax.jcml2array
)
C
c()
(in
dataprocessor.sax.saxps2jcml
)
classifier
(in
ml.var.extract_logreg_weight
)
convert()
(in
CElementTreeJcml2Orange
)
c_
(in
dataprocessor.sax.jcml2array
)
classifier_filename
(in
app.autoranking.xmlrpcserver
)
convert_jcml_attributes()
(in
Jcml2Array
)
calculate_total_scores()
(in
Hjerson
)
classifier_svmlight_linear_term_modular()
(in
Jcml2Shogun
)
convert_jcml_to_dat()
(in
dataprocessor.ce.pysvmlight
)
cast
(in
dataprocessor.sax.jcml2array
)
classify()
(in
SvmRank
)
convert_to_tab()
(in
Wmt11TabWriter
)
ce
(in
dataprocessor
)
classify_accuracy()
(in
OrangeData
)
convert_to_xml()
(in
PosteditingWriter
)
ce
(in
dataprocessor.ce
)
classify_dataset()
(in
OrangeClassifier
)
convert_to_xml()
(in
TaraXUWriter
)
ceil
(in
dataprocessor.sax.jcml2array
)
classify_orange_table()
(in
OrangeClassifier
)
cook_refs()
(in
featuregenerator.bleu.bleu
)
cejcml
(in
dataprocessor.ce
)
classify_parallelsentence()
(in
OrangeClassifier
)
cook_test()
(in
featuregenerator.bleu.bleu
)
cejcml2orange
(in
dataprocessor.ce
)
classify_with()
(in
OrangeProcessor
)
copysign
(in
dataprocessor.sax.jcml2array
)
cejcml2scikit
(in
dataprocessor.ce
)
classify_with()
(in
OrangeData
)
cores
(in
app.autoranking.annotate_batch
)
CEJcmlReader
(in
dataprocessor.ce.cejcml
)
clean_discrete_features()
(in
OrangeClassifier
)
cos
(in
dataprocessor.sax.jcml2array
)
CEJcmlStats
(in
dataprocessor.ce.cejcml
)
CLIError
(in
ml.lib.scikit.learn_model
)
cosh
(in
dataprocessor.sax.jcml2array
)
CElementTreeJcml2Orange
(in
dataprocessor.ce.cejcml2orange
)
CLIP
(in
dataprocessor.sax.jcml2array
)
count_ngrams()
(in
featuregenerator.bleu.bleu
)
CElementTreeJcml2Orange
(in
dataprocessor.ce.cejcml2scikit
)
clone()
(in
DataSet
)
coupleddataset
(in
sentence
)
cfg
(in
app.autoranking.annotate_batch
)
close()
(in
IncrementalJcml
)
CoupledDataSet
(in
sentence.coupleddataset
)
cfgrules
(in
featuregenerator.parser.berkeley
)
close()
(in
LanguageToolFeatureGenerator
)
coupleddataset_test
(in
test
)
CfgRulesExtractor
(in
featuregenerator.parser.berkeley.cfgrules
)
close()
(in
CommandlinePreprocessor
)
CoupledDataSetDisk
(in
sentence.coupleddataset
)
characters()
(in
SaxBestRank2SimpleFile
)
close()
(in
ArffWriter
)
CoupledDataSetTest
(in
test.coupleddataset_test
)
characters()
(in
SaxJCMLProcessor
)
CommandlinePreprocessor
(in
featuregenerator.preprocessor
)
coupledparallelsentence
(in
sentence
)
characters()
(in
SaxJcmlOrangeContent
)
CompactPairwiseDataset
(in
sentence.pairwisedataset
)
CoupledParallelSentence
(in
sentence.coupledparallelsentence
)
characters()
(in
SaxJcmlOrangeHeader
)
CompactPairwiseParallelSentenceSet
(in
sentence.pairwiseparallelsentenceset
)
create_ranks()
(in
app.autoranking.annotate_batch
)
characters()
(in
SaxProcessor
)
compare()
(in
DataSet
)
cross_bleu()
(in
app.autoranking.annotate_batch
)
characters()
(in
SaxSystemScoring
)
CONFIG_FILENAME
(in
app.autoranking.bootstrap
)
cross_meteor()
(in
app.autoranking.annotate_batch
)
characters()
(in
SaxWMTexporter
)
config_filenames
(in
app.autoranking.jvmtest
)
cross_validate()
(in
ml.lib.scikit.learn_model
)
characters()
(in
SaxWrapper
)
CONFIG_TEMPLATE
(in
app.autoranking.bootstrap
)
cross_validate_scores()
(in
Regressor
)
check
(in
app.autoranking
)
configfilenames
(in
app.autoranking.xmlrpcserver
)
cross_validate_start()
(in
SkRegressor
)
check_overlap
(in
support.preprocessing
)
confirm_attributes()
(in
DataSet
)
cross_validate_start()
(in
TerRegressor
)
checker
(in
ExperimentConfigParser
)
conj
(in
dataprocessor.sax.jcml2array
)
cross_validation()
(in
OrangeProcessor
)
Classifier
(in
ml.learner
)
conjugate
(in
dataprocessor.sax.jcml2array
)
cross_validation()
(in
OrangeData
)
classifier
(in
ml.var
)
continuize()
(in
SVMEasyLearner
)
cross_validation_scores()
(in
OrangeClassifier
)
classifier
(in
ml.var.extract_liblinear_weights
)
convert()
(in
SelectRank
)
CrossBleuGenerator
(in
featuregenerator.bleu.bleugenerator
)
classifier
(in
ml.var.extract_linear_regression_coefficients
)
convert()
(in
CElementTreeJcml2Orange
)
CrossMeteorGenerator
(in
featuregenerator.meteor.meteor
)
D
data_fetch()
(in
app.autoranking.annotate_batch
)
DEBUG
(in
ml.lib.scikit.learn_model
)
del_attribute()
(in
SimpleSentence
)
dataformat
(in
dataprocessor
)
decode()
(in
AbstractClassifier
)
Detokenizer
(in
featuregenerator.preprocessor
)
dataprocessor
decode_batch
(in
app.autoranking
)
diff_generator
(in
featuregenerator
)
dataset
(in
sentence
)
DEFAULT_SEP
(in
ml.lib.scikit.learn_model
)
DiffGenerator
(in
featuregenerator.diff_generator
)
DataSet
(in
sentence.dataset
)
DefaultLog
(in
util.ruffus_utils
)
DiffGenerator
(in
util.paralleltemplate
)
dataset_to_instances()
(in
ml.lib.orange
)
deg2rad
(in
dataprocessor.sax.jcml2array
)
divide
(in
dataprocessor.sax.jcml2array
)
dataset_to_instances()
(in
ml.lib.scikit.scikit
)
degrees
(in
dataprocessor.sax.jcml2array
)
E
e
(in
dataprocessor.sax.jcml2array
)
endElement()
(in
SaxJcmlOrangeHeader
)
ERR_WARN
(in
dataprocessor.sax.jcml2array
)
eff_ref_len
(in
featuregenerator.bleu.bleu
)
endElement()
(in
SaxProcessor
)
evaluation
encode_str()
(in
Jcml2Array
)
endElement()
(in
SaxSystemScoring
)
evaluation_measures
(in
ml.lib.scikit
)
endDocument()
(in
AttributesReader
)
endElement()
(in
SaxWMTexporter
)
exists_checker()
(in
ExperimentConfigParser
)
endDocument()
(in
SaxBestRank2SimpleFile
)
endElement()
(in
SaxWrapper
)
exists_lm()
(in
ExperimentConfigParser
)
endDocument()
(in
SaxJCMLProcessor
)
ensure_judgment_ids()
(in
DataSet
)
exists_parser()
(in
ExperimentConfigParser
)
endDocument()
(in
SaxJcmlOrangeHeader
)
equal
(in
dataprocessor.sax.jcml2array
)
exp
(in
dataprocessor.sax.jcml2array
)
endDocument()
(in
SaxProcessor
)
ERR_CALL
(in
dataprocessor.sax.jcml2array
)
exp2
(in
dataprocessor.sax.jcml2array
)
endDocument()
(in
SaxSystemScoring
)
ERR_DEFAULT
(in
dataprocessor.sax.jcml2array
)
ExperimentConfigParser
(in
app.autoranking.bootstrap
)
endDocument()
(in
SaxWMTexporter
)
ERR_DEFAULT2
(in
dataprocessor.sax.jcml2array
)
expm1
(in
dataprocessor.sax.jcml2array
)
endDocument()
(in
SaxWrapper
)
ERR_IGNORE
(in
dataprocessor.sax.jcml2array
)
extract_liblinear_weights
(in
ml.var
)
endElement()
(in
SaxBestRank2SimpleFile
)
ERR_LOG
(in
dataprocessor.sax.jcml2array
)
extract_linear_regression_coefficients
(in
ml.var
)
endElement()
(in
SaxJCMLProcessor
)
ERR_PRINT
(in
dataprocessor.sax.jcml2array
)
extract_logreg_weight
(in
ml.var
)
endElement()
(in
SaxJcmlOrangeContent
)
ERR_RAISE
(in
dataprocessor.sax.jcml2array
)
F
f
(in
ml.var.extract_liblinear_weights
)
features_langtool_source()
(in
app.autoranking.annotate_batch
)
floor_divide
(in
dataprocessor.sax.jcml2array
)
f
(in
ml.var.extract_linear_regression_coefficients
)
features_langtool_target()
(in
app.autoranking.annotate_batch
)
flush()
(in
StreamToLogger
)
f
(in
ml.var.extract_logreg_weight
)
features_length()
(in
app.autoranking.annotate_batch
)
flush()
(in
StreamToLogger
)
fabs
(in
dataprocessor.sax.jcml2array
)
features_lm()
(in
app.autoranking.annotate_batch
)
fmax
(in
dataprocessor.sax.jcml2array
)
False_
(in
dataprocessor.sax.jcml2array
)
features_lm_batch()
(in
app.autoranking.annotate_batch
)
fmin
(in
dataprocessor.sax.jcml2array
)
feature_selection()
(in
Regressor
)
features_lm_single()
(in
app.autoranking.annotate_batch
)
fmod
(in
dataprocessor.sax.jcml2array
)
feature_selection()
(in
SkRegressor
)
features_lm_source()
(in
app.autoranking.annotate_batch
)
forname()
(in
ml.learner
)
featuregenerator
features_lm_target()
(in
app.autoranking.annotate_batch
)
forname()
(in
ml.lib.orange
)
featuregenerator
(in
featuregenerator
)
features_quest()
(in
app.autoranking.annotate_batch
)
FPE_DIVIDEBYZERO
(in
dataprocessor.sax.jcml2array
)
FeatureGenerator
(in
featuregenerator.featuregenerator
)
FILENAME
(in
dataprocessor.input.schemabasedreader
)
FPE_INVALID
(in
dataprocessor.sax.jcml2array
)
features_berkeley()
(in
app.autoranking.annotate_batch
)
filter_jcml()
(in
dataprocessor.sax.utils
)
FPE_OVERFLOW
(in
dataprocessor.sax.jcml2array
)
features_berkeley_source()
(in
app.autoranking.annotate_batch
)
FilteredPairwiseDataset
(in
sentence.pairwisedataset
)
FPE_UNDERFLOW
(in
dataprocessor.sax.jcml2array
)
features_berkeley_target()
(in
app.autoranking.annotate_batch
)
fit()
(in
TerSVR
)
freqcase()
(in
FreqCaser
)
features_checker_source()
(in
app.autoranking.annotate_batch
)
fit_predict()
(in
ml.lib.scikit.learn_model
)
freqcaser
(in
util
)
features_checker_target()
(in
app.autoranking.annotate_batch
)
fix()
(in
CEJcmlReader
)
FreqCaser
(in
util.freqcaser
)
features_file_utils
(in
ml.lib.scikit
)
FixedFolds
(in
ml.lib.scikit.scikit
)
frexp
(in
dataprocessor.sax.jcml2array
)
features_gather()
(in
app.autoranking.annotate_batch
)
FLOATING_POINT_SUPPORT
(in
dataprocessor.sax.jcml2array
)
full_score_sentences()
(in
MeteorGenerator
)
features_langtool()
(in
app.autoranking.annotate_batch
)
floor
(in
dataprocessor.sax.jcml2array
)
G
gateway
(in
app.autoranking.annotate_batch
)
get_features_string()
(in
LanguageToolFeatureGenerator
)
get_parallelsentence()
(in
XliffReader
)
genericformat
(in
dataprocessor.dataformat
)
get_features_string()
(in
LanguageToolSocketFeatureGenerator
)
get_parallelsentence_string()
(in
GenericWriter
)
GenericFormat
(in
dataprocessor.dataformat.genericformat
)
get_features_string()
(in
LanguageFeatureGenerator
)
get_parallelsentence_string()
(in
GenericXMLWriter
)
genericreader
(in
dataprocessor.input
)
get_features_string()
(in
BerkeleyFeatureGenerator
)
get_parallelsentence_xml()
(in
GenericXMLWriter
)
GenericReader
(in
dataprocessor.input.genericreader
)
get_features_string_pipe()
(in
LanguageToolFeatureGenerator
)
get_parallelsentence_xml()
(in
XmlWriter
)
GenericWriter
(in
dataprocessor.output.xmlwriter
)
get_features_strings()
(in
Hjerson
)
get_parallelsentences()
(in
CEJcmlReader
)
genericxmlreader
(in
dataprocessor.input
)
get_features_tgt()
(in
BleuGenerator
)
get_parallelsentences()
(in
GenericReader
)
GenericXmlReader
(in
dataprocessor.input.genericxmlreader
)
get_features_tgt()
(in
CrossBleuGenerator
)
get_parallelsentences()
(in
GenericXmlReader
)
GenericXMLWriter
(in
dataprocessor.output.xmlwriter
)
get_features_tgt()
(in
FeatureGenerator
)
get_parallelsentences()
(in
AttributeLineReader
)
get_accuracy()
(in
OrangeProcessor
)
get_features_tgt()
(in
Hjerson
)
get_parallelsentences()
(in
LineReader
)
get_accuracy()
(in
OrangeData
)
get_features_tgt()
(in
Ibm1FeatureGenerator
)
get_parallelsentences()
(in
PosteditingReader
)
get_all_attribute_names()
(in
DataSet
)
get_features_tgt()
(in
LanguageFeatureGenerator
)
get_parallelsentences()
(in
R2RankReader
)
get_all_parallelsentence_sets()
(in
PairwiseDataset
)
get_features_tgt()
(in
LevenshteinGenerator
)
get_parallelsentences()
(in
RankReader
)
get_annotation_name()
(in
FeatureGenerator
)
get_features_tgt()
(in
SRILMngramGenerator
)
get_parallelsentences()
(in
TaraXUReader
)
get_annotations()
(in
DataSet
)
get_features_tgt()
(in
CrossMeteorGenerator
)
get_parallelsentences()
(in
XliffReader
)
get_array()
(in
Jcml2Array
)
get_features_tgt()
(in
MeteorGenerator
)
get_parallelsentences()
(in
DataSet
)
get_attribute()
(in
ParallelSentence
)
get_features_tgt()
(in
ParserMatches
)
get_parallelsentences()
(in
PairwiseDataset
)
get_attribute()
(in
SimpleSentence
)
get_features_tgt()
(in
RatioGenerator
)
get_parallelsentences()
(in
AnalyticPairwiseParallelSentenceSet
)
get_attribute_names()
(in
dataprocessor.ce.pysvmlight
)
get_features_tgt()
(in
WERFeatureGenerator
)
get_parallelsentences()
(in
PairwiseParallelSentenceSet
)
get_attribute_names()
(in
DataSet
)
get_features_tgt()
(in
BerkeleyFeatureGenerator
)
get_parallelsentences_per_sentence_id()
(in
DataSet
)
get_attribute_names()
(in
ParallelSentence
)
get_features_tgt()
(in
DiffGenerator
)
get_parallelsentences_with_judgment_ids()
(in
DataSet
)
get_attribute_statistics()
(in
CEJcmlStats
)
get_features_tgt()
(in
LengthFeatureGenerator
)
get_parser()
(in
ExperimentConfigParser
)
get_attribute_vector()
(in
support.preprocessing.jcml.wmt12baselinefeatures2jcml
)
get_features_tgt()
(in
ParseMatchFeatureGenerator
)
get_parser_name()
(in
ExperimentConfigParser
)
get_attribute_vectors()
(in
CEJcmlStats
)
get_features_tgt()
(in
RatioGenerator
)
get_path()
(in
ExperimentConfigParser
)
get_attributes()
(in
GenericXmlReader
)
get_features_tgt()
(in
SRILMFeatureGenerator
)
get_rank()
(in
PairwiseParallelSentence
)
get_attributes()
(in
ParallelSentence
)
get_filtered_pairwise_parallelsentence_set()
(in
AnalyticPairwiseParallelSentenceSet
)
get_rank()
(in
ParallelSentence
)
get_attributes()
(in
SimpleSentence
)
get_filtered_pairwise_parallelsentences()
(in
AnalyticPairwiseParallelSentenceSet
)
get_rank()
(in
SimpleSentence
)
get_basename()
(in
app.autoranking.annotate_batch
)
get_filtered_target_attribute_values()
(in
ParallelSentence
)
get_ranking()
(in
ParallelSentence
)
get_cfg()
(in
app.autoranking.bootstrap
)
get_gatewayclient()
(in
ExperimentConfigParser
)
get_reference()
(in
ParallelSentence
)
get_cfg_files()
(in
app.autoranking.bootstrap
)
get_head_sentences()
(in
DataSet
)
get_reversed()
(in
PairwiseParallelSentence
)
get_cfg_rules()
(in
featuregenerator.parser.berkeley.cfgrules
)
get_ibm1score()
(in
Ibm1FeatureGenerator
)
get_scoring()
(in
app.autoranking.decode_batch
)
get_checker()
(in
ExperimentConfigParser
)
get_instance_from_parallelsentence()
(in
dataprocessor.ce.pysvmlight
)
get_scoring()
(in
app.autoranking.suite
)
get_classifier()
(in
ml.var.registry
)
get_jcml_attribute_values()
(in
Jcml2Shogun
)
get_sentence_ids()
(in
PairwiseDataset
)
get_classifier_params()
(in
ExperimentConfigParser
)
get_judgment_id()
(in
ParallelSentence
)
get_single_set()
(in
CoupledDataSet
)
get_classpath()
(in
ExperimentConfigParser
)
get_kendall_tau()
(in
Scoring
)
get_single_set_with_hard_ranks()
(in
CoupledDataSet
)
get_compact_id()
(in
ParallelSentence
)
get_kendall_tau_avg()
(in
Scoring
)
get_single_set_with_hard_ranks()
(in
RevertablePairwiseDataset
)
get_compact_judgment_id()
(in
ParallelSentence
)
get_kendall_tau_b()
(in
Scoring
)
get_single_set_with_soft_ranks()
(in
CoupledDataSet
)
get_compact_pairwise_parallelsentence_set()
(in
AnalyticPairwiseParallelSentenceSet
)
get_kendall_tau_freq()
(in
Scoring
)
get_single_set_with_soft_ranks()
(in
RevertablePairwiseDataset
)
get_compact_pairwise_parallelsentences()
(in
AnalyticPairwiseParallelSentenceSet
)
get_kendall_tau_vector()
(in
Scoring
)
get_singlesource_strings()
(in
DataSet
)
get_couple()
(in
CoupledParallelSentence
)
get_language_options()
(in
IQFeatureGenerator
)
get_size()
(in
DataSet
)
get_data()
(in
OrangeProcessor
)
get_libs()
(in
util.jvm
)
get_source()
(in
ParallelSentence
)
get_data()
(in
OrangeData
)
get_lm()
(in
ExperimentConfigParser
)
get_source_language()
(in
ExperimentConfigParser
)
get_dataset()
(in
CEJcmlReader
)
get_lm_name()
(in
ExperimentConfigParser
)
get_spearman_correlation()
(in
Scoring
)
get_dataset()
(in
GenericReader
)
get_merged_pairwise_parallelsentences()
(in
AnalyticPairwiseParallelSentenceSet
)
get_string()
(in
SimpleSentence
)
get_dataset()
(in
OrangeProcessor
)
get_metrics_scores()
(in
Scoring
)
get_SVM()
(in
OrangeProcessor
)
get_dataset()
(in
OrangeData
)
get_multiclass_from_pairwise_set()
(in
RankHandler
)
get_SVM()
(in
OrangeData
)
get_dataset()
(in
XliffReader
)
get_multiclass_set()
(in
RevertablePairwiseDataset
)
get_svmlight_format()
(in
dataprocessor.ce.pysvmlight
)
get_discrete_attribute_values()
(in
DataSet
)
get_multiranked_sentence()
(in
CompactPairwiseParallelSentenceSet
)
get_system_name()
(in
XliffReader
)
get_document_xml()
(in
GenericXMLWriter
)
get_multiranked_sentence_with_probfilter()
(in
CompactPairwiseParallelSentenceSet
)
get_system_names()
(in
PairwiseParallelSentence
)
get_features_parallelsentence()
(in
BestSystemFeatureGenerator
)
get_multiranked_sentence_with_soft_ranks()
(in
CompactPairwiseParallelSentenceSet
)
get_system_names()
(in
PairwiseParallelSentenceSet
)
get_features_parallelsentence()
(in
DiffGenerator
)
get_multisource_strings()
(in
DataSet
)
get_systems_scoring_from_segment_ranks()
(in
Scoring
)
get_features_parallelsentence()
(in
FeatureGenerator
)
get_nested_attribute_names()
(in
CoupledDataSet
)
get_tabfile()
(in
app.autoranking.check
)
get_features_parallelsentence()
(in
BerkeleyFeatureGenerator
)
get_nested_attribute_names()
(in
DataSet
)
get_tags()
(in
GenericFormat
)
get_features_parallelsentence()
(in
DiffGenerator
)
get_nested_attribute_names()
(in
ParallelSentence
)
get_tags()
(in
GenericXmlReader
)
get_features_parallelsentence()
(in
LengthFeatureGenerator
)
get_nested_attributes()
(in
CoupledParallelSentence
)
get_tags()
(in
JcmlReader
)
get_features_parallelsentence()
(in
ParseMatchFeatureGenerator
)
get_nested_attributes()
(in
ParallelSentence
)
get_tags()
(in
XmlReader
)
get_features_parallelsentence()
(in
RatioGenerator
)
get_orange_content()
(in
CElementTreeJcml2Orange
)
get_tail_sentences()
(in
DataSet
)
get_features_parallelsentence()
(in
SRILMFeatureGenerator
)
get_orange_content()
(in
CElementTreeJcml2Orange
)
get_target_attribute_values()
(in
ParallelSentence
)
get_features_simplesentence()
(in
FeatureGenerator
)
get_orange_content()
(in
SaxJcml2Orange
)
get_target_language()
(in
ExperimentConfigParser
)
get_features_simplesentence()
(in
LanguageFeatureGenerator
)
get_orange_header()
(in
CElementTreeJcml2Orange
)
get_target_strings()
(in
DataSet
)
get_features_simplesentence()
(in
LengthFeatureGenerator
)
get_orange_header()
(in
CElementTreeJcml2Orange
)
get_translations()
(in
PairwiseParallelSentence
)
get_features_simplesentence()
(in
SRILMngramGenerator
)
get_orange_header()
(in
SaxJcml2Orange
)
get_translations()
(in
ParallelSentence
)
get_features_simplesentence()
(in
BerkeleyFeatureGenerator
)
get_pairwise_from_multiclass_sentence()
(in
RankHandler
)
get_translations_count_vector()
(in
DataSet
)
get_features_simplesentence()
(in
CfgRulesExtractor
)
get_pairwise_from_multiclass_set()
(in
RankHandler
)
get_truecaser_model()
(in
ExperimentConfigParser
)
get_features_simplesentence()
(in
BerkeleyFeatures
)
get_pairwise_parallelsentence()
(in
CompactPairwiseParallelSentenceSet
)
get_tuple_id()
(in
ParallelSentence
)
get_features_src()
(in
FeatureGenerator
)
get_pairwise_parallelsentence_set()
(in
PairwiseDataset
)
get_weights()
(in
XliffReader
)
get_features_src()
(in
LanguageFeatureGenerator
)
get_pairwise_parallelsentence_sets()
(in
PairwiseDataset
)
getCaseFreqs()
(in
FreqCaser
)
get_features_src()
(in
SRILMngramGenerator
)
get_pairwise_parallelsentences()
(in
AnalyticPairwiseParallelSentenceSet
)
getlearner()
(in
ExperimentConfigParser
)
get_features_src()
(in
ParserMatches
)
get_pairwise_parallelsentences()
(in
ParallelSentence
)
greater
(in
dataprocessor.sax.jcml2array
)
get_features_string()
(in
FeatureGenerator
)
get_parallelsentence()
(in
GenericReader
)
greater_equal
(in
dataprocessor.sax.jcml2array
)
get_features_string()
(in
IQFeatureGenerator
)
get_parallelsentence()
(in
GenericXmlReader
)
H
has_judgment_id()
(in
ParallelSentence
)
Hjerson
(in
featuregenerator.hjerson
)
hypot
(in
dataprocessor.sax.jcml2array
)
hjerson
(in
featuregenerator
)
hyp_ref_errors()
(in
featuregenerator.hjerson
)
I
i
(in
SaxWrapper
)
indexes()
(in
sentence.ranking
)
invert()
(in
sentence.ranking
)
ibm1featuregenerator
(in
featuregenerator
)
Inf
(in
dataprocessor.sax.jcml2array
)
iq
(in
featuregenerator
)
Ibm1FeatureGenerator
(in
featuregenerator.ibm1featuregenerator
)
inf
(in
dataprocessor.sax.jcml2array
)
IQFeatureGenerator
(in
featuregenerator.iq.acrolinxclient
)
idcg()
(in
evaluation.ranking.segment
)
Infinity
(in
dataprocessor.sax.jcml2array
)
isfinite
(in
dataprocessor.sax.jcml2array
)
illegal_xml_chars_RE
(in
dataprocessor.sax.saxps2jcml
)
infty
(in
dataprocessor.sax.jcml2array
)
isinf
(in
dataprocessor.sax.jcml2array
)
import_indexed_parallelsentence()
(in
ParallelSentence
)
initialize_featuregenerators()
(in
Autoranking
)
isnan
(in
dataprocessor.sax.jcml2array
)
import_missing_parallelsentence()
(in
ParallelSentence
)
input
(in
dataprocessor
)
isZipFile()
(in
FreqCaser
)
import_target_attributes_onsystem()
(in
DataSet
)
input_xml_filename
(in
support.preprocessing.jcml.xliff2jcml
)
iterate()
(in
AutorankingSuite
)
IncrementalJcml
(in
dataprocessor.sax.saxps2jcml
)
integers()
(in
Ranking
)
iterate()
(in
AutorankingSuite
)
index_exp
(in
dataprocessor.sax.jcml2array
)
inverse()
(in
Ranking
)
indexes()
(in
Ranking
)
invert
(in
dataprocessor.sax.jcml2array
)
J
java_init()
(in
ExperimentConfigParser
)
jcml2ref
(in
support.preprocessing.jcml
)
join_filter_jcml()
(in
dataprocessor.sax.utils
)
java_terminate()
(in
ExperimentConfigParser
)
jcml2Shogun
(in
dataprocessor.sax
)
join_jcml()
(in
dataprocessor.sax.utils
)
jcml
(in
support.preprocessing
)
Jcml2Shogun
(in
dataprocessor.sax.jcml2Shogun
)
joinjcml
(in
support.preprocessing.jcml
)
jcml2arff
(in
support.preprocessing.jcml
)
jcmlformat
(in
dataprocessor.dataformat
)
jvm
(in
util
)
Jcml2Arff
(in
support.preprocessing.jcml.jcml2arff
)
JcmlFormat
(in
dataprocessor.dataformat.jcmlformat
)
JVM
(in
util.jvm
)
jcml2array
(in
dataprocessor.sax
)
jcmlreader
(in
dataprocessor.input
)
jvmtest
(in
app.autoranking
)
Jcml2Array
(in
dataprocessor.sax.jcml2array
)
JcmlReader
(in
dataprocessor.input.jcmlreader
)
K
keep_only_attributes()
(in
SimpleSentence
)
kendall_tau_set()
(in
evaluation.ranking.set
)
KnnLearner
(in
ml.var.knn
)
kendall_tau()
(in
evaluation.ranking.segment
)
kendall_tau_set_no_ties()
(in
evaluation.ranking.set
)
kendall_tau_prob()
(in
evaluation.ranking.segment
)
knn
(in
ml.var
)
L
languagechecker
(in
featuregenerator
)
less
(in
dataprocessor.sax.jcml2array
)
load()
(in
XliffReader
)
LanguageCheckerCmd
(in
featuregenerator.languagechecker.languagetool
)
less_equal
(in
dataprocessor.sax.jcml2array
)
load_str()
(in
GenericXmlReader
)
languagefeaturegenerator
(in
featuregenerator
)
levenshtein
(in
featuregenerator
)
load_test_data()
(in
OrangeClassifier
)
LanguageFeatureGenerator
(in
featuregenerator.languagefeaturegenerator
)
levenshtein
(in
featuregenerator.levenshtein
)
load_training_data()
(in
OrangeClassifier
)
languagetool
(in
featuregenerator.languagechecker
)
levenshtein()
(in
featuregenerator.levenshtein.levenshtein
)
load_training_dataset()
(in
Regressor
)
languagetool_socket
(in
featuregenerator.languagechecker
)
levenshtein_generator
(in
featuregenerator.levenshtein
)
load_training_dataset()
(in
SkRegressor
)
LanguageToolFeatureGenerator
(in
featuregenerator.languagechecker.languagetool
)
levenshtein_tok()
(in
featuregenerator.levenshtein.levenshtein
)
log
(in
dataprocessor.sax.jcml2array
)
LanguageToolSocketFeatureGenerator
(in
featuregenerator.languagechecker.languagetool_socket
)
LevenshteinGenerator
(in
featuregenerator.levenshtein.levenshtein_generator
)
log10
(in
dataprocessor.sax.jcml2array
)
ldexp
(in
dataprocessor.sax.jcml2array
)
levNode
(in
featuregenerator.hjerson
)
log1p
(in
dataprocessor.sax.jcml2array
)
learn()
(in
PRank
)
levNode
(in
featuregenerator.wer.wer
)
log2
(in
dataprocessor.sax.jcml2array
)
learn()
(in
SvmRank
)
lib
(in
ml
)
log_file
(in
DefaultLog
)
learn_model
(in
ml.lib.scikit
)
linereader
(in
dataprocessor.input
)
logaddexp
(in
dataprocessor.sax.jcml2array
)
learner
(in
ml
)
LineReader
(in
dataprocessor.input.linereader
)
logaddexp2
(in
dataprocessor.sax.jcml2array
)
left_shift
(in
dataprocessor.sax.jcml2array
)
little_endian
(in
dataprocessor.sax.jcml2array
)
logical_and
(in
dataprocessor.sax.jcml2array
)
length()
(in
GenericXmlReader
)
lm
(in
featuregenerator
)
logical_not
(in
dataprocessor.sax.jcml2array
)
length()
(in
XliffReader
)
load()
(in
GenericReader
)
logical_or
(in
dataprocessor.sax.jcml2array
)
length()
(in
PairwiseParallelSentenceSet
)
load()
(in
GenericXmlReader
)
logical_xor
(in
dataprocessor.sax.jcml2array
)
lengthfeaturegenerator
(in
featuregenerator
)
load()
(in
PosteditingReader
)
loglinear
(in
ml.var
)
LengthFeatureGenerator
(in
featuregenerator.lengthfeaturegenerator
)
load()
(in
R2RankReader
)
LogLinear
(in
ml.var.loglinear
)
LengthFeatureGenerator
(in
util.paralleltemplate
)
load()
(in
RankReader
)
M
main()
(in
ml.lib.scikit.learn_model
)
merge_simplesentence()
(in
SimpleSentence
)
morph
(in
featuregenerator.lm
)
mapping
(in
ParserMatches
)
meta_attributes
(in
dataprocessor.input.testorange
)
mrr()
(in
evaluation.ranking.set
)
MAXDIMS
(in
dataprocessor.sax.jcml2array
)
meteor
(in
featuregenerator
)
mrr()
(in
Scoring
)
maximum
(in
dataprocessor.sax.jcml2array
)
meteor
(in
featuregenerator.meteor
)
multiply
(in
dataprocessor.sax.jcml2array
)
mean_absolute_error()
(in
ml.lib.scikit.evaluation_measures
)
MeteorGenerator
(in
featuregenerator.meteor.meteor
)
multirankeddataset
(in
sentence
)
merge_dataset()
(in
DataSet
)
mgrid
(in
dataprocessor.sax.jcml2array
)
MultiRankedDataset
(in
sentence.multirankeddataset
)
merge_dataset_symmetrical()
(in
DataSet
)
minimum
(in
dataprocessor.sax.jcml2array
)
mydata
(in
dataprocessor.input.testorange
)
merge_overlapping_pairwise_set()
(in
RankHandler
)
miss_ext_lex()
(in
featuregenerator.hjerson
)
myorangedata
(in
dataprocessor.input.testorange
)
merge_parallelsentence()
(in
ParallelSentence
)
ml
myraworangedata
(in
dataprocessor.input.testorange
)
merge_parse_parts_source()
(in
app.autoranking.annotate_batch
)
mod
(in
dataprocessor.sax.jcml2array
)
myraworangedata2
(in
dataprocessor.input.testorange
)
merge_parse_parts_target()
(in
app.autoranking.annotate_batch
)
modf
(in
dataprocessor.sax.jcml2array
)
myraworangedata3
(in
dataprocessor.input.testorange
)
merge_parts()
(in
app.autoranking.annotate_batch
)
modify_singlesource_strings()
(in
DataSet
)
merge_references_symmetrical()
(in
DataSet
)
modify_target_strings()
(in
DataSet
)
N
NAN
(in
dataprocessor.sax.jcml2array
)
nextafter
(in
dataprocessor.sax.jcml2array
)
normalize2
(in
featuregenerator.bleu.bleu
)
NaN
(in
dataprocessor.sax.jcml2array
)
NINF
(in
dataprocessor.sax.jcml2array
)
normalize_rank_list()
(in
Scoring
)
nan
(in
dataprocessor.sax.jcml2array
)
nonorm
(in
featuregenerator.bleu.bleu
)
Normalizer
(in
featuregenerator.preprocessor
)
nbytes
(in
dataprocessor.sax.jcml2array
)
normalize()
(in
featuregenerator.bleu.bleu
)
not_equal
(in
dataprocessor.sax.jcml2array
)
ndgc_err()
(in
evaluation.ranking.segment
)
normalize()
(in
Ranking
)
NZERO
(in
dataprocessor.sax.jcml2array
)
negative
(in
dataprocessor.sax.jcml2array
)
normalize()
(in
sentence.ranking
)
newaxis
(in
dataprocessor.sax.jcml2array
)
normalize1
(in
featuregenerator.bleu.bleu
)
O
offline_process()
(in
LanguageCheckerCmd
)
orange
(in
ml.lib
)
OrangeProcessor
(in
dataprocessor.input.orangeprocessor
)
ogrid
(in
dataprocessor.sax.jcml2array
)
orange
(in
ml.var
)
orangereader
(in
dataprocessor.input
)
oolinkage
(in
support.preprocessing
)
OrangeClassifier
(in
ml.lib.orange
)
OrangeRuntimeRanker
(in
ml.lib.orange
)
OOLinkage
(in
support.preprocessing.oolinkage
)
OrangeClassifier
(in
ml.var.classifier
)
OrargeRanker
(in
ml.ranker
)
open_datasets()
(in
ml.lib.scikit.sklearn_utils
)
OrangeClassifier
(in
ml.var.orange
)
original_data_split()
(in
app.autoranking.annotate_batch
)
open_datasets_crossvalidation()
(in
ml.lib.scikit.sklearn_utils
)
OrangeCoupledDataSet
(in
sentence.coupleddataset
)
output
(in
dataprocessor
)
openFile()
(in
FreqCaser
)
OrangeData
(in
dataprocessor.input.orangereader
)
output_filename
(in
support.preprocessing.jcml.xliff2jcml
)
optimize_model()
(in
ml.lib.scikit.learn_model
)
orangeprocessor
(in
dataprocessor.input
)
P
pairwise_test
(in
test
)
parse_msg()
(in
BerkeleyParserSocket
)
prepare_dir()
(in
ExperimentConfigParser
)
pairwisedataset
(in
sentence
)
ParseMatchFeatureGenerator
(in
util.paralleltemplate
)
prepare_sentence()
(in
SRILMngramGenerator
)
PairwiseDataset
(in
sentence.pairwisedataset
)
parser
(in
featuregenerator
)
prepare_sentence()
(in
BerkeleyFeatureGenerator
)
pairwiseparallelsentence
(in
sentence
)
parsermatches
(in
featuregenerator.parser.berkeley
)
preprocess_data()
(in
app.autoranking.annotate_batch
)
PairwiseParallelSentence
(in
sentence.pairwiseparallelsentence
)
ParserMatches
(in
featuregenerator.parser.berkeley.parsermatches
)
preprocessing
(in
support
)
pairwiseparallelsentence_test
(in
test
)
path
(in
app.autoranking.annotate_batch
)
preprocessor
(in
featuregenerator
)
pairwiseparallelsentenceset
(in
sentence
)
pattern
(in
featuregenerator.bleu.bleu
)
Preprocessor
(in
featuregenerator.preprocessor
)
PairwiseParallelSentenceSet
(in
sentence.pairwiseparallelsentenceset
)
pi
(in
dataprocessor.sax.jcml2array
)
preserve_case
(in
featuregenerator.bleu.bleu
)
PairwiseTesting
(in
test.pairwise_test
)
PINF
(in
dataprocessor.sax.jcml2array
)
print_content()
(in
OrangeClassifier
)
parallel_feature_functions
(in
app.autoranking.annotate_batch
)
posteditingreader
(in
dataprocessor.input
)
print_output()
(in
LanguageToolFeatureGenerator
)
parallelsentence
(in
sentence
)
PosteditingReader
(in
dataprocessor.input.posteditingreader
)
print_statistics()
(in
OrangeProcessor
)
ParallelSentence
(in
sentence.parallelsentence
)
posteditingwriter
(in
dataprocessor.output
)
print_statistics()
(in
OrangeData
)
Parallelsentence2Jcml
(in
dataprocessor.sax.saxps2jcml
)
PosteditingWriter
(in
dataprocessor.output.posteditingwriter
)
process()
(in
Jcml2Arff
)
parallelsentence_to_instance()
(in
ml.lib.orange
)
postprocess_output()
(in
LanguageToolFeatureGenerator
)
process()
(in
support.preprocessing.jcml.wmt12decodingfeatures2jcml
)
paralleltemplate
(in
util
)
power
(in
dataprocessor.sax.jcml2array
)
process_dataset()
(in
FeatureGenerator
)
ParallelTemplate
(in
util.paralleltemplate
)
prank
(in
ml.var
)
process_parallelsentence()
(in
OrangeProcessor
)
params
(in
app.autoranking.annotate_batch
)
PRank
(in
ml.var.prank
)
process_string()
(in
CommandlinePreprocessor
)
parse()
(in
BerkeleyFeatureGenerator
)
predict()
(in
TerSVR
)
process_string()
(in
Preprocessor
)
parse()
(in
BerkeleySocketFeatureGenerator
)
predict_dataset()
(in
Regressor
)
PROFILE
(in
ml.lib.scikit.learn_model
)
parse()
(in
BerkeleyXMLRPCFeatureGenerator
)
predict_y()
(in
PRank
)
pysvmlight
(in
dataprocessor.ce
)
parse()
(in
BerkeleyParserSocket
)
prepare_data()
(in
Ranker
)
PZERO
(in
dataprocessor.sax.jcml2array
)
Q
qualityRank()
(in
app.autoranking.xmlrpcserver
)
R
R2RankReader
(in
dataprocessor.input.rankreader
)
read_addfiles()
(in
featuregenerator.hjerson
)
reset()
(in
AutorankingSuite
)
r_
(in
dataprocessor.sax.jcml2array
)
read_attribute_names()
(in
support.preprocessing.jcml.wmt12baselinefeatures2jcml
)
reset()
(in
AutorankingSuite
)
rad2deg
(in
dataprocessor.sax.jcml2array
)
read_features_file()
(in
ml.lib.scikit.features_file_utils
)
restore_state()
(in
AutorankingSuite
)
radians
(in
dataprocessor.sax.jcml2array
)
read_file_incremental()
(in
dataprocessor.ce.pysvmlight
)
restore_state()
(in
AutorankingSuite
)
RAISE
(in
dataprocessor.sax.jcml2array
)
read_labels_file()
(in
ml.lib.scikit.features_file_utils
)
restore_supported
(in
AutorankingSuite
)
rank()
(in
Autoranking
)
read_parallelsentences()
(in
WmtReader
)
restore_supported
(in
AutorankingSuite
)
rank()
(in
app.autoranking.xmlrpcserver
)
read_reference_file()
(in
ml.lib.scikit.features_file_utils
)
restrict_ranks()
(in
AnalyticPairwiseDataset
)
rank()
(in
PRank
)
reciprocal
(in
dataprocessor.sax.jcml2array
)
restrict_ranks()
(in
AnalyticPairwiseParallelSentenceSet
)
rank_sentence()
(in
OrangeRuntimeRanker
)
reciprocal_rank()
(in
evaluation.ranking.segment
)
retrieve_results()
(in
app.autoranking.check
)
ranker
(in
ml
)
recover_attributes()
(in
ParallelSentence
)
RevertablePairwiseDataset
(in
sentence.pairwisedataset
)
Ranker
(in
ml.ranker
)
reference_features()
(in
app.autoranking.annotate_batch
)
right_shift
(in
dataprocessor.sax.jcml2array
)
ranker
(in
ml.var
)
regenerate_tau()
(in
sentence.scoring
)
rint
(in
dataprocessor.sax.jcml2array
)
Ranker
(in
ml.var.ranker
)
registry
(in
ml.var
)
root_mean_squared_error()
(in
ml.lib.scikit.evaluation_measures
)
rankeval
(in
evaluation
)
Regressor
(in
ml.learner
)
rpc_paths
(in
RequestHandler
)
rankhandler
(in
sentence
)
remainder
(in
dataprocessor.sax.jcml2array
)
ruffus_logger()
(in
util.ruffus_utils
)
RankHandler
(in
sentence.rankhandler
)
remove_not_numbers()
(in
Jcml2Shogun
)
ruffus_main()
(in
util.ruffus_utils
)
ranking
(in
evaluation
)
remove_ties()
(in
DataSet
)
ruffus_opt_parser()
(in
util.ruffus_utils
)
ranking
(in
sentence
)
remove_ties()
(in
PairwiseDataset
)
ruffus_utils
(in
util
)
Ranking
(in
sentence.ranking
)
remove_ties()
(in
AnalyticPairwiseParallelSentenceSet
)
Rule
(in
featuregenerator.parser.berkeley.cfgrules
)
rankreader
(in
dataprocessor.input
)
remove_ties()
(in
CompactPairwiseParallelSentenceSet
)
run()
(in
ml.lib.scikit.learn_model
)
RankReader
(in
dataprocessor.input.rankreader
)
remove_ties()
(in
ParallelSentence
)
run_crossvalidation()
(in
ml.lib.scikit.learn_model
)
ratio_generator
(in
featuregenerator
)
rename_attribute()
(in
SimpleSentence
)
run_features_generator()
(in
dataprocessor.sax.saxjcml
)
RatioGenerator
(in
featuregenerator.ratio_generator
)
reord()
(in
featuregenerator.hjerson
)
run_parallel()
(in
util.paralleltemplate
)
RatioGenerator
(in
util.paralleltemplate
)
replace
(in
featuregenerator.bleu.bleu
)
run_serial()
(in
util.paralleltemplate
)
RawPairwiseDataset
(in
sentence.pairwisedataset
)
RequestHandler
(in
app.autoranking.xmlrpcserver
)
runtime_ranker_forname()
(in
ml.lib.orange
)
S
s
(in
app.autoranking.xmlrpctest
)
select_attributes
(in
support.preprocessing
)
SkRegressor
(in
ml.lib.scikit.scikit
)
s_
(in
dataprocessor.sax.jcml2array
)
select_incremental
(in
dataprocessor.ce
)
smoothed_score_cooked()
(in
featuregenerator.bleu.bleu
)
save_state()
(in
AutorankingSuite
)
selectbest_accuracy()
(in
Scoring
)
smoothed_score_sentence()
(in
featuregenerator.bleu.bleu
)
save_state()
(in
AutorankingSuite
)
SelectRank
(in
dataprocessor.ce.ce
)
socket
(in
featuregenerator.parser.berkeley
)
sax
(in
dataprocessor
)
sent
(in
featuregenerator.hjerson
)
source
(in
support.preprocessing.jcml.xliff2jcml
)
sax_bestrank2simplefile
(in
dataprocessor.sax
)
sent
(in
featuregenerator.wer.wer
)
source_language
(in
app.autoranking.annotate_batch
)
SaxBestRank2SimpleFile
(in
dataprocessor.sax.sax_bestrank2simplefile
)
sentence
spacing
(in
dataprocessor.sax.jcml2array
)
saxjcml
(in
dataprocessor.sax
)
sentence
(in
sentence
)
split()
(in
DataSet
)
saxjcml2orange
(in
dataprocessor.sax
)
SentenceReader
(in
dataprocessor.input.orangeprocessor
)
split_and_write()
(in
GenericXmlReader
)
SaxJcml2Orange
(in
dataprocessor.sax.saxjcml2orange
)
serialize()
(in
ParallelSentence
)
split_data()
(in
OrangeProcessor
)
SaxJcmlOrangeContent
(in
dataprocessor.sax.saxjcml2orange
)
server
(in
app.autoranking.xmlrpcserver
)
split_data()
(in
OrangeData
)
SaxJcmlOrangeHeader
(in
dataprocessor.sax.saxjcml2orange
)
set
(in
evaluation.ranking
)
split_dataset_files()
(in
support.preprocessing.jcml.splitjcml
)
SaxJCMLProcessor
(in
dataprocessor.sax.saxjcml
)
set_data()
(in
Ranker
)
splitjcml
(in
support.preprocessing.jcml
)
saxprocessor
(in
dataprocessor.sax
)
set_id()
(in
ParallelSentence
)
sqrt
(in
dataprocessor.sax.jcml2array
)
SaxProcessor
(in
dataprocessor.sax.saxprocessor
)
set_langsrc()
(in
ParallelSentence
)
square
(in
dataprocessor.sax.jcml2array
)
saxps2jcml
(in
dataprocessor.sax
)
set_langtgt()
(in
ParallelSentence
)
srilm
(in
featuregenerator.lm
)
saxscoring
(in
dataprocessor.sax
)
set_learning_method()
(in
Regressor
)
srilm_ngram
(in
featuregenerator.lm.srilm
)
SaxSystemScoring
(in
dataprocessor.sax.saxscoring
)
set_learning_method()
(in
ml.lib.scikit.learn_model
)
SRILMFeatureGenerator
(in
util.paralleltemplate
)
saxwmt11eval
(in
dataprocessor.sax
)
set_learning_method()
(in
SkRegressor
)
SRILMngramGenerator
(in
featuregenerator.lm.srilm.srilm_ngram
)
SaxWMTexporter
(in
dataprocessor.sax.saxwmt11eval
)
SET_METRIC_FUNCTIONS
(in
sentence.scoring
)
standalone_parser_client
(in
featuregenerator.parser.berkeley
)
saxwrapper
(in
dataprocessor.sax
)
set_optimization_params()
(in
ml.lib.scikit.learn_model
)
startDocument()
(in
SaxBestRank2SimpleFile
)
SaxWrapper
(in
dataprocessor.sax.saxwrapper
)
set_reference()
(in
ParallelSentence
)
startDocument()
(in
SaxJCMLProcessor
)
saxwrapper
(in
support.preprocessing.jcml.xliff2jcml
)
set_scorer_functions()
(in
ml.lib.scikit.learn_model
)
startDocument()
(in
SaxProcessor
)
ScalarType
(in
dataprocessor.sax.jcml2array
)
set_selection_method()
(in
ml.lib.scikit.learn_model
)
startDocument()
(in
SaxSystemScoring
)
scale_datasets()
(in
ml.lib.scikit.sklearn_utils
)
set_source()
(in
ParallelSentence
)
startDocument()
(in
SaxWMTexporter
)
scale_datasets_crossvalidation()
(in
ml.lib.scikit.sklearn_utils
)
set_tags()
(in
SaxBestRank2SimpleFile
)
startElement()
(in
AttributesReader
)
SCHEMA
(in
dataprocessor.input.schemabasedreader
)
set_tags()
(in
SaxJCMLProcessor
)
startElement()
(in
SentenceReader
)
schemabasedreader
(in
dataprocessor.input
)
set_tags()
(in
SaxJcmlOrangeContent
)
startElement()
(in
SaxBestRank2SimpleFile
)
SchemaData
(in
dataprocessor.input.schemabasedreader
)
set_tags()
(in
SaxSystemScoring
)
startElement()
(in
SaxJCMLProcessor
)
scikit
(in
ml.lib
)
set_tags()
(in
SaxWMTexporter
)
startElement()
(in
SaxJcmlOrangeContent
)
scikit
(in
ml.lib.scikit
)
set_test_data()
(in
OrangeClassifier
)
startElement()
(in
SaxJcmlOrangeHeader
)
score()
(in
app.autoranking.decode_batch
)
set_training_data()
(in
OrangeClassifier
)
startElement()
(in
SaxProcessor
)
score()
(in
app.autoranking.suite
)
set_translations()
(in
ParallelSentence
)
startElement()
(in
SaxSystemScoring
)
score()
(in
MeteorGenerator
)
setUp()
(in
CoupledDataSetTest
)
startElement()
(in
SaxWMTexporter
)
score_cooked()
(in
featuregenerator.bleu.bleu
)
setUp()
(in
PairwiseTesting
)
startElement()
(in
SaxWrapper
)
score_multitarget_sentences()
(in
featuregenerator.bleu.bleu
)
setUp()
(in
TestPairwiseParallelSentenceConversion
)
StreamToLogger
(in
app.autoranking.decode_batch
)
score_sentence()
(in
featuregenerator.bleu.bleu
)
SHIFT_DIVIDEBYZERO
(in
dataprocessor.sax.jcml2array
)
StreamToLogger
(in
app.autoranking.suite
)
score_sentence()
(in
MeteorGenerator
)
SHIFT_INVALID
(in
dataprocessor.sax.jcml2array
)
subtract
(in
dataprocessor.sax.jcml2array
)
score_sentences()
(in
featuregenerator.bleu.bleu
)
SHIFT_OVERFLOW
(in
dataprocessor.sax.jcml2array
)
suite
(in
app.autoranking
)
score_sentences()
(in
MeteorGenerator
)
SHIFT_UNDERFLOW
(in
dataprocessor.sax.jcml2array
)
support
scoring
(in
sentence
)
sign
(in
dataprocessor.sax.jcml2array
)
svm
(in
ml.var
)
Scoring
(in
sentence.scoring
)
signbit
(in
dataprocessor.sax.jcml2array
)
SVM
(in
ml.var.svm
)
sctypeDict
(in
dataprocessor.sax.jcml2array
)
SimpleSentence
(in
sentence.sentence
)
svmeasy
(in
ml.var
)
sctypeNA
(in
dataprocessor.sax.jcml2array
)
sin
(in
dataprocessor.sax.jcml2array
)
SVMEasyLearner
(in
ml.var.svmeasy
)
sctypes
(in
dataprocessor.sax.jcml2array
)
singlethread()
(in
featuregenerator.meteor.testmeteor
)
svmrank
(in
ml.var
)
segment
(in
evaluation.ranking
)
sinh
(in
dataprocessor.sax.jcml2array
)
SvmRank
(in
ml.var.svmrank
)
select_attribute_names()
(in
DataSet
)
sklearn_utils
(in
ml.lib.scikit
)
sys_call()
(in
util.ruffus_utils
)
T
TAG
(in
GenericFormat
)
test_dataset_reads_all_parallelsentences()
(in
TestPairwiseParallelSentenceConversion
)
train()
(in
OrangeClassifier
)
TAG
(in
JcmlFormat
)
test_dataset_sizes()
(in
TestPairwiseParallelSentenceConversion
)
train()
(in
Ranker
)
TAG_DOC
(in
dataprocessor.ce.pysvmlight
)
test_decoupling()
(in
CoupledDataSetTest
)
train()
(in
AbstractClassifier
)
TAG_SENT
(in
dataprocessor.ce.pysvmlight
)
test_ondisk_vs_onmemory()
(in
CoupledDataSetTest
)
train_test()
(in
SkRegressor
)
TAG_SRC
(in
dataprocessor.ce.pysvmlight
)
test_orange()
(in
SaxJcml2Orange
)
train_test()
(in
TerRegressor
)
TAG_TGT
(in
dataprocessor.ce.pysvmlight
)
test_pairwise_28()
(in
TestPairwiseParallelSentenceConversion
)
training_sets
(in
app.autoranking.annotate_batch
)
TAGDIR
(in
featuregenerator.hjerson
)
test_pairwise_merge()
(in
TestPairwiseParallelSentenceConversion
)
tree
(in
ml.var
)
taketime()
(in
util.paralleltemplate
)
test_pairwise_merge_count()
(in
TestPairwiseParallelSentenceConversion
)
TreeLearner
(in
ml.var.tree
)
tan
(in
dataprocessor.sax.jcml2array
)
test_pairwise_reconstruct_twice()
(in
PairwiseTesting
)
True_
(in
dataprocessor.sax.jcml2array
)
tanh
(in
dataprocessor.sax.jcml2array
)
test_pairwise_save_reconstruct()
(in
PairwiseTesting
)
true_divide
(in
dataprocessor.sax.jcml2array
)
taraxureader
(in
dataprocessor.input
)
test_pairwise_with_both_ways()
(in
TestPairwiseParallelSentenceConversion
)
truecase()
(in
app.autoranking.annotate_batch
)
TaraXUReader
(in
dataprocessor.input.taraxureader
)
test_rankhandler_pairwise_reverse()
(in
TestPairwiseParallelSentenceConversion
)
truecase_source()
(in
app.autoranking.annotate_batch
)
taraxuwriter
(in
dataprocessor.output
)
test_rankhandler_ties_removal_from_analytic()
(in
TestPairwiseParallelSentenceConversion
)
truecase_target()
(in
app.autoranking.annotate_batch
)
TaraXUWriter
(in
dataprocessor.output.taraxuwriter
)
test_sizes_after_pairing()
(in
TestPairwiseParallelSentenceConversion
)
truecase_target_append()
(in
app.autoranking.annotate_batch
)
target_language
(in
app.autoranking.annotate_batch
)
test_testset_handling()
(in
TestPairwiseParallelSentenceConversion
)
Truecaser
(in
featuregenerator.preprocessor
)
ter_cross_validate_fold()
(in
ml.lib.scikit.scikit
)
testing_set
(in
app.autoranking.annotate_batch
)
trunc
(in
dataprocessor.sax.jcml2array
)
ter_train_test()
(in
ml.lib.scikit.scikit
)
testmeteor
(in
featuregenerator.meteor
)
tuneClassifier()
(in
SVMEasyLearner
)
terminate()
(in
JVM
)
testorange
(in
dataprocessor.input
)
txt2jcml
(in
support.preprocessing.jcml
)
TerRegressor
(in
ml.lib.scikit.scikit
)
TestPairwiseParallelSentenceConversion
(in
test.pairwiseparallelsentence_test
)
typecodes
(in
dataprocessor.sax.jcml2array
)
TerSVR
(in
ml.lib.scikit.scikit
)
textfilename
(in
ml.var.extract_logreg_weight
)
typeDict
(in
dataprocessor.sax.jcml2array
)
test
Tokenizer
(in
featuregenerator.preprocessor
)
typeNA
(in
dataprocessor.sax.jcml2array
)
test_coupling()
(in
CoupledDataSetTest
)
touch()
(in
util.ruffus_utils
)
test_dataset()
(in
Regressor
)
train()
(in
Regressor
)
U
UFUNC_BUFSIZE_DEFAULT
(in
dataprocessor.sax.jcml2array
)
unload()
(in
RankReader
)
update_w()
(in
PRank
)
UFUNC_PYVALS_NAME
(in
dataprocessor.sax.jcml2array
)
unload()
(in
XliffReader
)
util
unload()
(in
GenericReader
)
unload()
(in
OrangeClassifier
)
utils
(in
dataprocessor.sax
)
unload()
(in
PosteditingReader
)
unload_test_data()
(in
OrangeClassifier
)
unload()
(in
R2RankReader
)
unload_training_data()
(in
OrangeClassifier
)
V
var
(in
ml
)
verbose
(in
DefaultLog
)
W
w
(in
ml.var.extract_liblinear_weights
)
wmt12baselinefeatures2jcml
(in
support.preprocessing.jcml
)
write_instance()
(in
ArffWriter
)
w
(in
ml.var.extract_linear_regression_coefficients
)
wmt12baselinefeatures2jcml()
(in
support.preprocessing.jcml.wmt12baselinefeatures2jcml
)
write_model_description()
(in
OrangeClassifier
)
weights_aligned
(in
ml.var.extract_liblinear_weights
)
wmt12decodingfeatures2jcml
(in
support.preprocessing.jcml
)
write_singlesource_strings_file()
(in
DataSet
)
weights_sorted
(in
ml.var.extract_liblinear_weights
)
wmtreader
(in
dataprocessor.input
)
write_to_file()
(in
PosteditingWriter
)
wer
(in
featuregenerator
)
WmtReader
(in
dataprocessor.input.wmtreader
)
write_to_file()
(in
TaraXUWriter
)
wer
(in
featuregenerator.wer
)
WRAP
(in
dataprocessor.sax.jcml2array
)
write_to_file()
(in
Wmt11TabWriter
)
wer()
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