MnAppsNet / generateDatasets

Some simple python scripts to generate different distributions

generateCorrelatedDataset.py

usage: generateCorrelatedDataset.py [-h] [-s SAMPLES] [-d DIMENSIONS]
                                    [-e ENTROPY] [-l SLOPE] [-o OUTPUT]
                                    [-r RANDOM_SEED]

Arguments:
  -h, --help            show this help message and exit
  -s SAMPLES, --samples SAMPLES
                        Number of points to sample (Default: 1000)
  -d DIMENSIONS, --dimensions DIMENSIONS
                        Number of dimensions (Default: 2)
  -e ENTROPY, --entropy ENTROPY
                        Defines how much randomness is added to the correlated
                        dimensions
  -l SLOPE, --slope SLOPE
                        Determines the angle of the data trend line (Default: 1)
  -o OUTPUT, --output OUTPUT
                        Determines output file to save the dataset
  -r RANDOM_SEED, --random_seed RANDOM_SEED
                        Random seed

generateGaussianDataset.py

usage: generateGaussianDataset.py [-h] [-s SAMPLES] [-d DIMENSIONS] [-t STD]
                                  [-o OUTPUT] [-r RANDOM_SEED]

Arguments:
  -h, --help            show this help message and exit
  -s SAMPLES, --samples SAMPLES
                        Number of points to sample (Default: 1000)
  -d DIMENSIONS, --dimensions DIMENSIONS
                        Number of dimensions (Default: 2)
  -t STD, --std STD     Standard Deviation (Default: 1.0)
  -o OUTPUT, --output OUTPUT

generateUniformDataset.py

usage: generateUniformDataset.py [-h] [-s SAMPLES] [-d DIMENSIONS] [-o OUTPUT]
                                 [-r RANDOM_SEED]

Arguments:
  -h, --help            show this help message and exit
  -s SAMPLES, --samples SAMPLES
                        Number of points to sample (Default: 1000)
  -d DIMENSIONS, --dimensions DIMENSIONS
                        Number of dimensions (Default: 2)
  -o OUTPUT, --output OUTPUT
                        Determines output file to save the dataset
  -r RANDOM_SEED, --random_seed RANDOM_SEED
                        Random seed  
                        Determines output file to save the dataset
  -r RANDOM_SEED, --random_seed RANDOM_SEED
                        Random seed