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 4.3
  • 3rd party packages 4.2

A

  • access control
  • accessor functions 5.1.9
  • ADMIN 4.2
  • aggregate function 2.4.1
  • aggregating data 5.3.4
  • aggregation functions 5.1.9, 5.3.4
  • algorithms
    • Apriori 7.4
    • association rules 7.4
    • attribute importance 7.5
    • Decision Tree 7.6
    • Expectation Maximization 7.7, 7.9
    • Explicit Semantic Analysis 7.8
    • Extensible R 7.10
    • Generalized Linear Model 7.11
    • k-Means 7.12
    • Minimum Description Length 7.5
    • Naive Bayes 7.13
    • Neural Network 7.14
    • Non-Negative Matrix Factorization 7.15
    • Orthogonal Partitioning Cluster 7.16
    • Random Forest 7.18
    • settings common to all 7.3
    • Singular Value Decomposition 7.19
    • Support Vector Machine 7.20
    • XGBoost Model 7.22
  • ALL_RQ_DATASTORES view 10.2.1,
  • ALL_RQ_SCRIPTS view 10.2.2,
  • Apriori algorithm 7.4
  • arima function 5.1.9
  • arrange_ function
  • arrange function
  • as.Date function 5.1.9
  • as.difftime function 5.1.9
  • as.integer function 5.1.9
  • as.ore.character function 2.4.2.4, 5.1.9
  • as.ore.date function 5.1.9
  • as.ore class 5.1.9
  • as.ore function 2.4.2.4
  • association models 7.4
  • attaching a schema 3.2.3.1.4
  • attribute importance models 7.5
  • Autonomous Database 3.1

C

D

E

  • e1071 package 10.3.4
  • easy connect string, specifying 3.2.2
  • Embedded R execution 2.2
  • Embedded R Execution
  • executing SQL statements 3.2.3.4.3
  • Expectation Maximization model 7.7
  • Expectation Maximization Model 7.9
  • Explicit Semantic Analysis model 7.8
  • exploratory data analysis
    • data set for examples 5.2.2
  • exponential smoothing models 5.2.6
  • Extensible R model 7.10

F

G

  • Generalized Linear Model , 7.11
  • glm function
  • global options 2.5, 3.2.3.4.2
    • ore.envAsEmptyenv 2.5
    • ore.na.extract 2.5
    • ore.parallel 2.5
    • ore.sep 2.5
    • ore.trace 2.5
    • ore.warn.order 2.5
  • group_by function
  • group_size function
  • groups function

H

I

  • In-database models
  • indexing data 5.1.3
  • inner_join function
  • install.packages function 4.5
  • IRLS algorithm
  • is.null function 3.2.3.4.1

K

L

  • lapply function 5.1.7
  • least squares regression
  • left_join function
  • library function 4.5
  • linear regression model
  • longley data set

M

  • machine learning models 7
  • map/reduce operations
  • max function 5.1.9
  • min_rank function
  • min function 5.1.9
  • Minimum Description Length algorithm 7.5
  • models
    • association 7.4
    • attribute importance 7.5
    • cross-validating 8
    • Decision Tree 7.6
    • Expectation Maximization 7.7, 7.9
    • Explicit Semantic Analysis 7.8
    • Extensible R 7.10
    • Generalized Linear Model , 7.11
    • k-Means 7.12
    • linear regression
    • Naive Bayes 7.13
    • Neural Network , 7.14
    • Non-Negative Matrix Factorization 7.15
    • OML4R 7
    • Orthogonal Partitioning Cluster 7.16
    • parametric 7.11
    • partitioned 7.17
    • predictive 9.1
    • Random Forest , 7.18
    • Singular Value Decomposition 7.19
    • Support Vector Machine 7.20
    • XGBoost 7.22
  • mutate_ function
  • mutate function

N

  • n_groups function
  • Naive Bayes models 7.13
  • naming conventions 2.4.2.3
  • NARROW data set 5.2.2
  • Neural Network Model 7.14
  • Neural Network models
  • NMF models 7.15
  • ntile function

O

P

Q

  • quantile function 5.1.9

R

S

T

U

  • ungroup function
  • unique function 5.1.9
  • use.keys argument to ore.sync 3.2.3.4.1
  • USER_RQ_DATASTORE_PRIVS view 10.2.5,
  • USER_RQ_DATASTORES view 10.2.6,
  • USER_RQ_SCRIPT_PRIVS view 10.2.7,
  • USER_RQ_SCRIPTS view 10.2.8,

V

W

X