| create temporary function hivemall_version as 'hivemall.HivemallVersionUDF'; |
| create temporary function train_perceptron as 'hivemall.classifier.PerceptronUDTF'; |
| create temporary function train_pa as 'hivemall.classifier.PassiveAggressiveUDTF'; |
| create temporary function train_pa1 as 'hivemall.classifier.PassiveAggressiveUDTF$PA1'; |
| create temporary function train_pa2 as 'hivemall.classifier.PassiveAggressiveUDTF$PA2'; |
| create temporary function train_cw as 'hivemall.classifier.ConfidenceWeightedUDTF'; |
| create temporary function train_arow as 'hivemall.classifier.AROWClassifierUDTF'; |
| create temporary function train_arowh as 'hivemall.classifier.AROWClassifierUDTF$AROWh'; |
| create temporary function train_scw as 'hivemall.classifier.SoftConfideceWeightedUDTF$SCW1'; |
| create temporary function train_scw2 as 'hivemall.classifier.SoftConfideceWeightedUDTF$SCW2'; |
| create temporary function train_adagrad_rda as 'hivemall.classifier.AdaGradRDAUDTF'; |
| create temporary function train_multiclass_perceptron as 'hivemall.classifier.multiclass.MulticlassPerceptronUDTF'; |
| create temporary function train_multiclass_pa as 'hivemall.classifier.multiclass.MulticlassPassiveAggressiveUDTF'; |
| create temporary function train_multiclass_pa1 as 'hivemall.classifier.multiclass.MulticlassPassiveAggressiveUDTF$PA1'; |
| create temporary function train_multiclass_pa2 as 'hivemall.classifier.multiclass.MulticlassPassiveAggressiveUDTF$PA2'; |
| create temporary function train_multiclass_cw as 'hivemall.classifier.multiclass.MulticlassConfidenceWeightedUDTF'; |
| create temporary function train_multiclass_arow as 'hivemall.classifier.multiclass.MulticlassAROWClassifierUDTF'; |
| create temporary function train_multiclass_arowh as 'hivemall.classifier.multiclass.MulticlassAROWClassifierUDTF$AROWh'; |
| create temporary function train_multiclass_scw as 'hivemall.classifier.multiclass.MulticlassSoftConfidenceWeightedUDTF$SCW1'; |
| create temporary function train_multiclass_scw2 as 'hivemall.classifier.multiclass.MulticlassSoftConfidenceWeightedUDTF$SCW2'; |
| create temporary function cosine_similarity as 'hivemall.knn.similarity.CosineSimilarityUDF'; |
| create temporary function jaccard_similarity as 'hivemall.knn.similarity.JaccardIndexUDF'; |
| create temporary function angular_similarity as 'hivemall.knn.similarity.AngularSimilarityUDF'; |
| create temporary function euclid_similarity as 'hivemall.knn.similarity.EuclidSimilarity'; |
| create temporary function distance2similarity as 'hivemall.knn.similarity.Distance2SimilarityUDF'; |
| create temporary function popcnt as 'hivemall.knn.distance.PopcountUDF'; |
| create temporary function kld as 'hivemall.knn.distance.KLDivergenceUDF'; |
| create temporary function hamming_distance as 'hivemall.knn.distance.HammingDistanceUDF'; |
| create temporary function euclid_distance as 'hivemall.knn.distance.EuclidDistanceUDF'; |
| create temporary function cosine_distance as 'hivemall.knn.distance.CosineDistanceUDF'; |
| create temporary function angular_distance as 'hivemall.knn.distance.AngularDistanceUDF'; |
| create temporary function jaccard_distance as 'hivemall.knn.distance.JaccardDistanceUDF'; |
| create temporary function manhattan_distance as 'hivemall.knn.distance.ManhattanDistanceUDF'; |
| create temporary function minkowski_distance as 'hivemall.knn.distance.MinkowskiDistanceUDF'; |
| create temporary function minhashes as 'hivemall.knn.lsh.MinHashesUDF'; |
| create temporary function minhash as 'hivemall.knn.lsh.MinHashUDTF'; |
| create temporary function bbit_minhash as 'hivemall.knn.lsh.bBitMinHashUDF'; |
| create temporary function voted_avg as 'hivemall.ensemble.bagging.VotedAvgUDAF'; |
| create temporary function weight_voted_avg as 'hivemall.ensemble.bagging.WeightVotedAvgUDAF'; |
| create temporary function max_label as 'hivemall.ensemble.MaxValueLabelUDAF'; |
| create temporary function maxrow as 'hivemall.ensemble.MaxRowUDAF'; |
| create temporary function argmin_kld as 'hivemall.ensemble.ArgminKLDistanceUDAF'; |
| create temporary function mhash as 'hivemall.ftvec.hashing.MurmurHash3UDF'; |
| create temporary function sha1 as 'hivemall.ftvec.hashing.Sha1UDF'; |
| create temporary function array_hash_values as 'hivemall.ftvec.hashing.ArrayHashValuesUDF'; |
| create temporary function prefixed_hash_values as 'hivemall.ftvec.hashing.ArrayPrefixedHashValuesUDF'; |
| create temporary function feature_hashing as 'hivemall.ftvec.hashing.FeatureHashingUDF'; |
| create temporary function polynomial_features as 'hivemall.ftvec.pairing.PolynomialFeaturesUDF'; |
| create temporary function powered_features as 'hivemall.ftvec.pairing.PoweredFeaturesUDF'; |
| create temporary function rescale as 'hivemall.ftvec.scaling.RescaleUDF'; |
| create temporary function zscore as 'hivemall.ftvec.scaling.ZScoreUDF'; |
| create temporary function l1_normalize as 'hivemall.ftvec.scaling.L1NormalizationUDF'; |
| create temporary function l2_normalize as 'hivemall.ftvec.scaling.L2NormalizationUDF'; |
| create temporary function chi2 as 'hivemall.ftvec.selection.ChiSquareUDF'; |
| create temporary function snr as 'hivemall.ftvec.selection.SignalNoiseRatioUDAF'; |
| create temporary function amplify as 'hivemall.ftvec.amplify.AmplifierUDTF'; |
| create temporary function rand_amplify as 'hivemall.ftvec.amplify.RandomAmplifierUDTF'; |
| create temporary function add_bias as 'hivemall.ftvec.AddBiasUDF'; |
| create temporary function sort_by_feature as 'hivemall.ftvec.SortByFeatureUDF'; |
| create temporary function extract_feature as 'hivemall.ftvec.ExtractFeatureUDF'; |
| create temporary function extract_weight as 'hivemall.ftvec.ExtractWeightUDF'; |
| create temporary function add_feature_index as 'hivemall.ftvec.AddFeatureIndexUDF'; |
| create temporary function feature as 'hivemall.ftvec.FeatureUDF'; |
| create temporary function feature_index as 'hivemall.ftvec.FeatureIndexUDF'; |
| create temporary function conv2dense as 'hivemall.ftvec.conv.ConvertToDenseModelUDAF'; |
| create temporary function to_dense_features as 'hivemall.ftvec.conv.ToDenseFeaturesUDF'; |
| create temporary function to_dense as 'hivemall.ftvec.conv.ToDenseFeaturesUDF'; |
| create temporary function to_sparse_features as 'hivemall.ftvec.conv.ToSparseFeaturesUDF'; |
| create temporary function to_sparse as 'hivemall.ftvec.conv.ToSparseFeaturesUDF'; |
| create temporary function quantify as 'hivemall.ftvec.conv.QuantifyColumnsUDTF'; |
| create temporary function build_bins as 'hivemall.ftvec.binning.BuildBinsUDAF'; |
| create temporary function feature_binning as 'hivemall.ftvec.binngin.FeatureBinningUDF'; |
| create temporary function vectorize_features as 'hivemall.ftvec.trans.VectorizeFeaturesUDF'; |
| create temporary function categorical_features as 'hivemall.ftvec.trans.CategoricalFeaturesUDF'; |
| create temporary function ffm_features as 'hivemall.ftvec.trans.FFMFeaturesUDF'; |
| create temporary function indexed_features as 'hivemall.ftvec.trans.IndexedFeatures'; |
| create temporary function quantified_features as 'hivemall.ftvec.trans.QuantifiedFeaturesUDTF'; |
| create temporary function quantitative_features as 'hivemall.ftvec.trans.QuantitativeFeaturesUDF'; |
| create temporary function binarize_label as 'hivemall.ftvec.trans.BinarizeLabelUDTF'; |
| create temporary function onehot_encoding as 'hivemall.ftvec.trans.OnehotEncodingUDAF'; |
| create temporary function bpr_sampling as 'hivemall.ftvec.ranking.BprSamplingUDTF'; |
| create temporary function item_pairs_sampling as 'hivemall.ftvec.ranking.ItemPairsSamplingUDTF'; |
| create temporary function populate_not_in as 'hivemall.ftvec.ranking.PopulateNotInUDTF'; |
| create temporary function tf as 'hivemall.ftvec.text.TermFrequencyUDAF'; |
| create temporary function logress as 'hivemall.regression.LogressUDTF'; |
| create temporary function train_logistic_regr as 'hivemall.regression.LogressUDTF'; |
| create temporary function train_pa1_regr as 'hivemall.regression.PassiveAggressiveRegressionUDTF'; |
| create temporary function train_pa1a_regr as 'hivemall.regression.PassiveAggressiveRegressionUDTF$PA1a'; |
| create temporary function train_pa2_regr as 'hivemall.regression.PassiveAggressiveRegressionUDTF$PA2'; |
| create temporary function train_pa2a_regr as 'hivemall.regression.PassiveAggressiveRegressionUDTF$PA2a'; |
| create temporary function train_arow_regr as 'hivemall.regression.AROWRegressionUDTF'; |
| create temporary function train_arowe_regr as 'hivemall.regression.AROWRegressionUDTF$AROWe'; |
| create temporary function train_arowe2_regr as 'hivemall.regression.AROWRegressionUDTF$AROWe2'; |
| create temporary function train_adagrad_regr as 'hivemall.regression.AdaGradUDTF'; |
| create temporary function train_adadelta_regr as 'hivemall.regression.AdaDeltaUDTF'; |
| create temporary function float_array as 'hivemall.tools.array.AllocFloatArrayUDF'; |
| create temporary function array_remove as 'hivemall.tools.array.ArrayRemoveUDF'; |
| create temporary function sort_and_uniq_array as 'hivemall.tools.array.SortAndUniqArrayUDF'; |
| create temporary function subarray_endwith as 'hivemall.tools.array.SubarrayEndWithUDF'; |
| create temporary function subarray_startwith as 'hivemall.tools.array.SubarrayStartWithUDF'; |
| create temporary function array_concat as 'hivemall.tools.array.ArrayConcatUDF'; |
| create temporary function subarray as 'hivemall.tools.array.SubarrayUDF'; |
| create temporary function array_avg as 'hivemall.tools.array.ArrayAvgGenericUDAF'; |
| create temporary function array_sum as 'hivemall.tools.array.ArraySumUDAF'; |
| create temporary function to_string_array as 'hivemall.tools.array.ToStringArrayUDF'; |
| create temporary function array_intersect as 'hivemall.tools.array.ArrayIntersectUDF'; |
| create temporary function select_k_best as 'hivemall.tools.array.SelectKBestUDF'; |
| create temporary function bits_collect as 'hivemall.tools.bits.BitsCollectUDAF'; |
| create temporary function to_bits as 'hivemall.tools.bits.ToBitsUDF'; |
| create temporary function unbits as 'hivemall.tools.bits.UnBitsUDF'; |
| create temporary function bits_or as 'hivemall.tools.bits.BitsORUDF'; |
| create temporary function inflate as 'hivemall.tools.compress.InflateUDF'; |
| create temporary function deflate as 'hivemall.tools.compress.DeflateUDF'; |
| create temporary function map_get_sum as 'hivemall.tools.map.MapGetSumUDF'; |
| create temporary function map_tail_n as 'hivemall.tools.map.MapTailNUDF'; |
| create temporary function to_map as 'hivemall.tools.map.UDAFToMap'; |
| create temporary function to_ordered_map as 'hivemall.tools.map.UDAFToOrderedMap'; |
| create temporary function sigmoid as 'hivemall.tools.math.SigmoidGenericUDF'; |
| create temporary function transpose_and_dot as 'hivemall.tools.matrix.TransposeAndDotUDAF'; |
| create temporary function taskid as 'hivemall.tools.mapred.TaskIdUDF'; |
| create temporary function jobid as 'hivemall.tools.mapred.JobIdUDF'; |
| create temporary function rowid as 'hivemall.tools.mapred.RowIdUDF'; |
| create temporary function generate_series as 'hivemall.tools.GenerateSeriesUDTF'; |
| create temporary function convert_label as 'hivemall.tools.ConvertLabelUDF'; |
| create temporary function x_rank as 'hivemall.tools.RankSequenceUDF'; |
| create temporary function each_top_k as 'hivemall.tools.EachTopKUDTF'; |
| create temporary function tokenize as 'hivemall.tools.text.TokenizeUDF'; |
| create temporary function is_stopword as 'hivemall.tools.text.StopwordUDF'; |
| create temporary function split_words as 'hivemall.tools.text.SplitWordsUDF'; |
| create temporary function normalize_unicode as 'hivemall.tools.text.NormalizeUnicodeUDF'; |
| create temporary function base91 as 'hivemall.tools.text.Base91UDF'; |
| create temporary function unbase91 as 'hivemall.tools.text.Unbase91UDF'; |
| create temporary function lr_datagen as 'hivemall.dataset.LogisticRegressionDataGeneratorUDTF'; |
| create temporary function f1score as 'hivemall.evaluation.F1ScoreUDAF'; |
| create temporary function fmeasure as 'hivemall.evaluation.FMeasureUDAF'; |
| create temporary function mae as 'hivemall.evaluation.MeanAbsoluteErrorUDAF'; |
| create temporary function mse as 'hivemall.evaluation.MeanSquaredErrorUDAF'; |
| create temporary function rmse as 'hivemall.evaluation.RootMeanSquaredErrorUDAF'; |
| create temporary function r2 as 'hivemall.evaluation.R2UDAF'; |
| create temporary function ndcg as 'hivemall.evaluation.NDCGUDAF'; |
| create temporary function precision_at as 'hivemall.evaluation.PrecisionUDAF'; |
| create temporary function recall_at as 'hivemall.evaluation.RecallUDAF'; |
| create temporary function mrr as 'hivemall.evaluation.MRRUDAF'; |
| create temporary function average_precision as 'hivemall.evaluation.MAPUDAF'; |
| create temporary function auc as 'hivemall.evaluation.AUCUDAF'; |
| create temporary function logloss as 'hivemall.evaluation.LogarithmicLossUDAF'; |
| create temporary function mf_predict as 'hivemall.mf.MFPredictionUDF'; |
| create temporary function train_mf_sgd as 'hivemall.mf.MatrixFactorizationSGDUDTF'; |
| create temporary function train_mf_adagrad as 'hivemall.mf.MatrixFactorizationAdaGradUDTF'; |
| create temporary function train_bprmf as 'hivemall.mf.BPRMatrixFactorizationUDTF'; |
| create temporary function bprmf_predict as 'hivemall.mf.BPRMFPredictionUDF'; |
| create temporary function fm_predict as 'hivemall.fm.FMPredictGenericUDAF'; |
| create temporary function train_fm as 'hivemall.fm.FactorizationMachineUDTF'; |
| create temporary function train_randomforest_classifier as 'hivemall.smile.classification.RandomForestClassifierUDTF'; |
| create temporary function train_randomforest_regressor as 'hivemall.smile.regression.RandomForestRegressionUDTF'; |
| create temporary function train_randomforest_regr as 'hivemall.smile.regression.RandomForestRegressionUDTF'; |
| create temporary function tree_predict as 'hivemall.smile.tools.TreePredictUDF'; |
| create temporary function rf_ensemble as 'hivemall.smile.tools.RandomForestEnsembleUDAF'; |
| create temporary function guess_attribute_types as 'hivemall.smile.tools.GuessAttributesUDF'; |
| -- since Hivemall v0.5 |
| create temporary function changefinder as 'hivemall.anomaly.ChangeFinderUDF'; |
| create temporary function sst as 'hivemall.anomaly.SingularSpectrumTransformUDF'; |
| create temporary function train_lda as 'hivemall.topicmodel.LDAUDTF'; |
| create temporary function lda_predict as 'hivemall.topicmodel.LDAPredictUDAF'; |
| create temporary function train_plsa as 'hivemall.topicmodel.PLSAUDTF'; |
| create temporary function plsa_predict as 'hivemall.topicmodel.PLSAPredictUDAF'; |
| create temporary function tile as 'hivemall.geospatial.TileUDF'; |
| create temporary function map_url as 'hivemall.geospatial.MapURLUDF'; |
| create temporary function lat2tiley as 'hivemall.geospatial.Lat2TileYUDF'; |
| create temporary function lon2tilex as 'hivemall.geospatial.Lon2TileXUDF'; |
| create temporary function tilex2lon as 'hivemall.geospatial.TileX2LonUDF'; |
| create temporary function tiley2lat as 'hivemall.geospatial.TileY2LatUDF'; |
| create temporary function haversine_distance as 'hivemall.geospatial.HaversineDistanceUDF'; |
| create temporary function l2_norm as 'hivemall.tools.math.L2NormUDAF'; |
| create temporary function dimsum_mapper as 'hivemall.knn.similarity.DIMSUMMapperUDTF'; |
| create temporary function train_classifier as 'hivemall.classifier.GeneralClassifierUDTF'; |
| create temporary function train_regressor as 'hivemall.regression.GeneralRegressorUDTF'; |
| create temporary function tree_export as 'hivemall.smile.tools.TreeExportUDF'; |
| create temporary function train_ffm as 'hivemall.fm.FieldAwareFactorizationMachineUDTF'; |
| create temporary function ffm_predict as 'hivemall.fm.FFMPredictGenericUDAF'; |
| create temporary function add_field_indices as 'hivemall.ftvec.trans.AddFieldIndicesUDF'; |
| create temporary function to_ordered_list as 'hivemall.tools.list.UDAFToOrderedList'; |
| create temporary function singularize as 'hivemall.tools.text.SingularizeUDF'; |
| create temporary function train_slim as 'hivemall.recommend.SlimUDTF'; |
| create temporary function hitrate as 'hivemall.evaluation.HitRateUDAF'; |
| create temporary function word_ngrams as 'hivemall.tools.text.WordNgramsUDF'; |
| create temporary function approx_count_distinct as 'hivemall.sketch.hll.ApproxCountDistinctUDAF'; |
| |
| -- NLP features |
| create temporary function tokenize_ja as 'hivemall.nlp.tokenizer.KuromojiUDF'; |
| create temporary function tokenize_cn as 'hivemall.nlp.tokenizer.SmartcnUDF'; |
| |
| -- Backward compatibilities |
| create temporary function concat_array as 'hivemall.tools.array.ArrayConcatUDF'; |
| create temporary function pa2a_regress as 'hivemall.regression.PassiveAggressiveRegressionUDTF$PA2a'; |
| create temporary function arow_regress as 'hivemall.regression.AROWRegressionUDTF'; |
| create temporary function addBias as 'hivemall.ftvec.AddBiasUDF'; |
| create temporary function tree_predict_v1 as 'hivemall.smile.tools.TreePredictUDFv1'; |
| create temporary function add_field_indicies as 'hivemall.ftvec.trans.AddFieldIndicesUDF'; |
| |
| -- alias for TD |
| create temporary function approx_distinct as 'hivemall.sketch.hll.ApproxCountDistinctUDAF'; |