hanaml.normal {hana.ml.r}R Documentation

Normal Distribution Sampling

Description

Draw samples from a normal distribution.

Usage

hanaml.normal(conn.context,
                     m = NULL,
                     mean = NULL,
                     sd = NULL,
                     seed = NULL,
                     thread.ratio = NULL)

Arguments

conn.context

ConnectionContext
Database connection object.

m

integer, optional
Specifies the number of random data to be generated.
Defaults to 100.

mean

numeric, optional
Mean value of the underlying normal distribution.
Defaults to 0.

sd

numeric, optional
Standard deviation of the underlying normal distribution.
Defaults to 1.

seed

integer, optional
Indicates the seed used to initialize the random number generator:
- 0: Uses the system time.
- Not 0: Uses the specified seed. Note that when multithreading is enabled, the random number sequences of different runs might be different even if the SEED value remains the same.
Defaults to 0.

thread.ratio

numeric, optional
Controls the proportion of available threads to use. The value range is from 0 to 1, where 0 indicates a single thread, and 1 indicates up to all available threads. Values between 0 and 1 will use that percentage of available threads. Values outside this range tell PAL to heuristically determine the number of threads to use.
Defaults to 0.

Value

DataFrame containing the generated random samples, random samples:
- ID, type INTEGER, ID column.
- GENERATED_NUMBER, type DOUBLE, sample value.

Examples

## Not run: 
Draw samples from a beta distribution.
> normal <- hanaml.normal(conn, mean = 1, sigma = 2, m = 20,
                          seed = 1, thread.ratio = 0)

> normal$collect()
    ID  GENERATED_NUMBER
0   0          0.321078
1   1         -1.327626
2   2          0.798867
3   3         -0.116128
4   4         -0.213519
5   5          0.008566
6   6          0.251733
7   7          0.404510
8   8         -0.534899
9   9         -0.420968

 
## End(Not run)
[Package hana.ml.r version 1.0.8 Index]