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

Uniform Distribution Sampling

Description

Draw samples from a uniform distribution.

Usage

hanaml.uniform(conn.context, m = NULL,
                      min = NULL, max = 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.

min

numeric, optional
The lower bound.
Defaults to 0.

max

numeric, optional
The upper bound.
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 uniform distribution.
  uniform <- hanaml.uniform(conn, m = 20,
                            low = 1, high = 5,
                            seed = 1, thread.ratio = 0)

> uniform$collect()
    ID  GENERATED_NUMBER
 0   0          0.032920
 1   1          0.201923
 2   2          0.823313
 3   3         -0.495260
 4   4         -0.138329
 5   5          0.677732
 6   6          0.685200
 7   7          0.363627
 8   8          0.024849
 9   9         -0.441779


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