1-dimensional shape dataset generated by random numbers of normal distribution
$ git clone https://github.com/koba-jon/normal_distribution_dataset.git
$ cd normal_distribution_dataset/NormalDistribution
$ ls -l
- train : training data (100,000 pieces) of 300 dimensions
train
|--00000.dat
|--00001.dat
| ...
|--99999.dat
- test : test data (1,000 pieces) of 300 dimensions
test
|--000.dat
|--001.dat
| ...
|--999.dat
$ sudo apt install python3 python3-pip
$ pip3 install numpy
$ vi scripts/create.sh
--dir
: output directory
--num
: total number of data
--dim
: dimensions on one data
--list
: list of mean and standard deviation of normal distribution
--seed
: seed of random number
#!/bin/bash
MODE='create'
SCRIPT_DIR=$(cd $(dirname $0); pwd)
python3 ${SCRIPT_DIR}/create.py \
--dir "./NormalDistribution/${MODE}" \
--num 100 \
--dim 300 \
--list "./list/params.txt" \
--seed 0
$ sh scripts/create.sh