1. Index

Index

Numerics  A  C  D  E  F  G  H  I  K  L  M  N  O  P  Q  R  S  T  U  V  W  X  

Numerics

  • 3rd party package 3.3
  • 3rd party packages 3.2

A

  • access control
  • accessor functions 4.1.9
  • ADMIN 3.2
  • aggregate function 1.4.1
  • aggregating data 4.3.4
  • aggregation functions 4.1.9, 4.3.4
  • algorithms
    • Apriori 6.4
    • association rules 6.4
    • attribute importance 6.5
    • Decision Tree 6.6
    • Expectation Maximization 6.7, 6.9
    • Explicit Semantic Analysis 6.8
    • Extensible R 6.10
    • Generalized Linear Model 6.11
    • k-Means 6.12
    • Minimum Description Length 6.5
    • Naive Bayes 6.13
    • Neural Network 6.14
    • Non-Negative Matrix Factorization 6.15
    • Orthogonal Partitioning Cluster 6.16
    • Random Forest 6.18
    • settings common to all 6.3
    • Singular Value Decomposition 6.19
    • Support Vector Machine 6.20
    • XGBoost Model 6.22
  • ALL_RQ_DATASTORES view 9.2.1,
  • ALL_RQ_SCRIPTS view 9.2.2,
  • Apriori algorithm 6.4
  • arima function 4.1.9
  • arrange_ function
  • arrange function
  • as.Date function 4.1.9
  • as.difftime function 4.1.9
  • as.integer function 4.1.9
  • as.ore.character function 1.4.2.4, 4.1.9
  • as.ore.date function 4.1.9
  • as.ore class 4.1.9
  • as.ore function 1.4.2.4
  • association models 6.4
  • attaching a schema 2.2.3.1.4
  • attribute importance models 6.5
  • auto model search
    • automated model search
    • automatic model search
  • Autonomous Database 2.1

C

D

E

  • e1071 package 9.3.4
  • easy connect string, specifying 2.2.2
  • Embedded R execution 1.2
  • Embedded R Execution
  • ESA embeddings
  • executing SQL statements 2.2.3.4.3
  • Expectation Maximization model 6.7
  • Expectation Maximization Model 6.9
  • Explicit Semantic Analysis model 6.8
  • exploratory data analysis
    • data set for examples 4.2.2
  • Exponential Smoothing Model
  • exponential smoothing models 4.2.6
  • Extensible R model 6.10

F

G

  • Generalized Linear Model , 6.11
  • glm function
  • GLM link functions
  • global options 1.5, 2.2.3.4.2
    • ore.envAsEmptyenv 1.5
    • ore.na.extract 1.5
    • ore.parallel 1.5
    • ore.sep 1.5
    • ore.trace 1.5
    • ore.warn.order 1.5
  • group_by function
  • group_size function
  • groups function

H

I

  • In-database models
  • indexing data 4.1.3
  • inner_join function
  • install.packages function 3.5
  • IRLS algorithm
  • is.null function 2.2.3.4.1

K

L

  • lapply function 4.1.7
  • least squares regression
  • left_join function
  • library function 3.5
  • linear regression model
  • longley data set

M

  • machine learning models 6
  • map/reduce operations
  • max function 4.1.9
  • min_rank function
  • min function 4.1.9
  • Minimum Description Length algorithm 6.5
  • models
    • association 6.4
    • attribute importance 6.5
    • cross-validating 7
    • Decision Tree 6.6
    • Expectation Maximization 6.7, 6.9
    • Explicit Semantic Analysis 6.8
    • Extensible R 6.10
    • Generalized Linear Model , 6.11
    • k-Means 6.12
    • linear regression
    • Naive Bayes 6.13
    • Neural Network , 6.14
    • Non-Negative Matrix Factorization 6.15
    • OML4R 6
    • Orthogonal Partitioning Cluster 6.16
    • parametric 6.11
    • partitioned 6.17
    • predictive 8.1
    • Random Forest , 6.18
    • Singular Value Decomposition 6.19
    • Support Vector Machine 6.20
    • XGBoost 6.22
  • mutate_ function
  • mutate function

N

  • n_groups function
  • Naive Bayes models 6.13
  • naming conventions 1.4.2.3
  • NARROW data set 4.2.2
  • Neural Network
  • Neural Network Model 6.14
  • Neural Network models
  • NMF models 6.15
  • ntile function

O

P

Q

  • quantile function 4.1.9

R

S

  • sample function 4.1.7, 4.1.8
  • sampling
  • sanple_frac function
  • sanple_n function
  • saving objects 2.2.3.5
  • schema
  • script repository 9.3.2
  • scripts
    • dropping 9.5.9,
    • embedded R execution of 9.1
    • executing in database 1.2
    • managing in SQL 9.4.2
  • search path
  • select_ function
  • select function
  • seq function 4.1.7, 4.1.9
  • settings
    • about model 6.2
    • In-database model parameter 6.1.3
    • shared algorithm 6.3
  • settings function 6.1.3, 6.21
  • singular value decomposition 4.2.12
  • Singular Value Decomposition model 6.19
  • slice_ function
  • slice function
  • sort function 4.1.9
  • SQL APIs
  • SQL functions for Embedded R Execution 9.4.1
  • SQL Interface for Oracle Machine Learning for R Embedded R execution 9.4
  • SQL statements, executing 2.2.3.4.3
  • SQL table functions 9.4.1
  • stepwise least squares regression
  • summarize function
  • summary function
  • supported R operators and functions B
  • svd function 4.2.12
  • SVM models 6.20
  • synchronizing database tables 2.2.3.1.1
  • sys.rqScriptCreate procedure 9.5.8,
  • sys.rqScriptDrop procedure 9.5.9,

T

U

  • ungroup function
  • unique function 4.1.9
  • use.keys argument to ore.sync 2.2.3.4.1
  • USER_RQ_DATASTORE_PRIVS view 9.2.5,
  • USER_RQ_DATASTORES view 9.2.6,
  • USER_RQ_SCRIPT_PRIVS view 9.2.7,
  • USER_RQ_SCRIPTS view 9.2.8,

V

  • views A
    • ALL_RQ_DATASTORES 9.2.1,
    • ALL_RQ_SCRIPTS 9.2.2,
    • making visible in R 2.2.3.1.4
    • RQUSER_DATASTORECONTENTS 9.2.3,
    • RQUSER_DATASTORELIST 9.2.4,
    • USER_RQ_DATASTORE_PRIVS 9.2.5,
    • USER_RQ_DATASTORES 9.2.6,
    • USER_RQ_SCRIPT_PRIVS 9.2.7,
    • USER_RQ_SCRIPTS 9.2.8,

W

X

  • XGBoost 6.22
  • XGBoost constraints
  • XGBoost Model
  • XGBoost survival analysis