Teradata R Package Function Reference | 17.00 - 17.00 - Updates in tdplyr 17.00.00.00 - Teradata R Package

Teradata® R Package Function Reference

prodname
Teradata R Package
vrm_release
17.00
created_date
September 2020
category
Programming Reference
featnum
B700-4007-090K
Analytical Function NameNew arguments

Argument type change

numeric → integer

Argument default value update

Argument

Optional Required

MLE Functions
td_adaboost_mle
iter.num, num.splits, max.depth, min.node.size

td_antiselect_mledata.order.column


td_arima_mle
period, max.iterations, order.p, order.d, order.q, seasonal.order.p, seasonal.order.d, seasonal.order.q

td_arima_predict_mle
n.ahead

td_burst_mle
num.points, seed

The argument "time.data.partition.column" was required. Now, it is required when the argument "time.data" is provided; optional otherwise.

td_ccm_mle
embedding.dimension, time.step, bootstrap.iterations, predict.step, library.size

td_ccm_prepare_mledata.order.column

data.partition.column:

NULL → "1"

td_cfilter_mle
max.itemset

td_changepoint_detection_mle
max.change.num

td_changepoint_detection_rt_mle
window.size
The argument "accumulate" was required. It is optional now.
td_confusion_matrix_mledata.sequence.column


td_cox_hazard_ratio_mleobject.order.column, predicts.order.column, refs.order.column

predicts.partition.column:

NULL → "1", refs.partition.column:

NULL → "1"


td_coxph_mle
max.iter.num

td_decision_forest_evaluator_mleobject.order.column


td_decision_forest_mle
maxnum.categorical, ntree, tree.size, nodesize, max.depth, mtry

td_decision_tree_mle
num.splits, nodesize, max.depth

td_dtw_mle
radius

td_dwt2d_mle
level

td_dwt_mle
level

td_exponential_mov_avg_mle
start.rows

td_fpgrowth_mle
group.size

td_glm_mle
maxit

td_glml1l2_mle
max.iter.num

td_hmm_decoder_mleinit.state.prob.order.column, state.transition.prob.order.column, emission.prob.order.columnsequence.max.size

td_hmm_evaluator_mleinit.state.prob.order.column, state.transition.prob.order.column, emission.prob.order.column


td_hmm_supervised_mle
batch.size
The argument "model.key" was required. It is optional now.
td_hmm_unsupervised_mle
hidden.states.num, max.iter.num
The argument "model.key" was required. It is optional now.
td_kmeans_mle
iter.max, seed

td_knn_mle
k, parblock.size

td_knn_recommender_mle
k, max.iternum

td_knn_recommender_predict_mleshowall, ratings.data.order.column, weights.data.order.column, bias.data.order.columntopk

td_lar_mle
max.steps

td_lar_predict_mlenewdata.order.column, object.order.column


td_lda_mle
topic.num, count.column, initmodeltaskcount

td_levenshtein_distance_mle
threshold

td_lin_reg_mledata.order.column


td_linreg_predict_mlenewdata.order.column, object.order.column


td_minhash_mle
hash.num, key.groups, mincluster.size, maxcluster.size

td_naivebayes_mledata.sequence.column, data.order.column


td_naivebayes_textclassifier_mle

data.order.column, stopwords.data.order.column,

categories.data.order.column




td_naivebayes_textclassifier_predict_mle
top.k

td_namedentity_finder_evaluator_mlenewdata.order.column


td_namedentity_finder_mlenewdata.order.column, configure.table.data.order.columnshow.entity.context

td_namedentity_finder_trainer_mle
iter.num, cutoff

td_ngramsplitter_mledata.sequence.column, data.order.column


td_npath_mledata1.sequence.column, data2.sequence.column, data3.sequence.column

The argument "data2.order.column" was required. Now, it is required when the argument "data2" is provided; optional otherwise.

The argument "data3.order.column" was required. Now, it is required when the argument "data3" is provided; optional otherwise.
td_ntree_mle
max.distance

td_pack_mledata.sequence.column, data.order.column


td_page_rank_mle
niter

td_pivot_mle
num.rows

td_random_sample_mle
num.sample, iteration.num

over.sampling.rate:

1 1.0


td_sampling_mle

approx.sample.size

seed:

NULL 0

td_sax_mle

window.size, output.frequency, points.persymbol, symbols.perwindow, alphabet.size, bitmap.level


The argument "meanstats.data.partition.column" was required. Now, it is required when the argument "meanstats.data" is provided; optional otherwise.

td_scale_by_partition_mledata.order.column


td_scale_map_mledata.order.column


td_scale_mledata.order.column, object.order.column


td_scale_summary_mleobject.order.column


td_sentence_extractor_mledata.order.column


td_sentiment_evaluator_mle object.order.column


td_sentiment_extractor_mlenewdata.order.column, dict.data.order.column


td_simple_mov_avg_mle
window.size

td_string_similarity_mledata.order.column


td_svm_dense_mle
degree, hash.bits, max.step, subspace.dimension

cost:

1 → 1.0


td_svm_dense_predict_mle
output.class.num

td_svm_dense_summary_mledata.order.column, object.order.column


td_svm_sparse_mle
hash.buckets, max.step

cost:

1 → 1.0

td_svm_sparse_predict_mle
output.class.num

td_svm_sparse_summary_mledata.sequence.column, object.sequence.column, data.order.column, object.order.column


td_text_parser_mle data.sequence.column, data.order.column


td_text_tagger_mledata.order.column, rules.data.order.column


td_text_tokenizer_mle

data.sequence.column, dict.data.sequence.column, data.order.column, dict.data.order.column




td_unpack_mledata.sequence.column, data.order.columnregex.set

td_unpivot_mledata.order.column


td_varmax_mle
period, exogenous.order, lag, max.iter.num, step.ahead, order.p, order.d, order.q, seasonal.order.p, seasonal.order.d, seasonal.order.q

td_vector_distance_mle
top.k

td_weighted_mov_avg_mle
window.size

td_xgboost_mle
iter.num, min.node.size, max.depth, num.boosted.trees

td_xgboost_predict_mle
iter.num, num.boosted.trees

SQLE Functions
td_attribution_sqle


The argument "data.optional.partition.column" was required. Now, it is required when the argument "data.optional" is provided; optional otherwise.

The argument "data.optional.order.column" was required. Now, it is required when the argument "data.optional" is provided; optional otherwise.

td_decision_forest_predict_sqlenewdata.order.column, object.order.column


td_decision_tree_predict_sqleobject.order.column


td_glm_predict_sqlenewdata.order.column


td_moving_average_sqle
window.size, start.rows

td_naivebayes_predict_sqlenewdata.order.column, modeldata.order.column


td_naivebayes_textclassifier_predict_sqlenewdata.order.column, object.order.columntop.k

td_npath_sqle


The argument "data2.order.column" was required. Now, it is required when the argument "data2" is provided; optional otherwise.

The argument "data3.order.column" was required. Now, it is required when the argument &quotquot;data3" is provided; optional otherwise.
td_svm_sparse_predict_sqlenewdata.order.column, object.order.columnoutput.class.num

td_unpack_sqle
regex.set


Note: Whenever there is an update to any predict function (like td_knn_recommender_predict_mle), there is an update to its corresponding S3 function 'predict' (like predict.td_knn_recommender_mle).