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./sparse-gen --file sparse-data.txt --n_points 10000 --n_dimension 10000 --type binary --bernoulli 0.9 --sparsity 0.0001 --zipf 0.8 --format dok
./sparse-gen --file sparse-data.txt --n_points 10000 --n_dimension 10000 --type int --range_low 0 --range_high 100 --sparsity 0.0001 --zipf 0.8 --format dok
./sparse-gen --file sparse-data.txt --n_points 10000 --n_dimension 10000 --type real --distribution uniform --range_low 0 --range_high 100 --sparsity 0.0001 --zipf 0.8 --format dok
./sparse-gen --file sparse-data.txt --n_points 10000 --n_dimension 10000 --type real --distribution normal --mean 100 --stddev 10 --sparsity 0.0001 --zipf 0.8 --format dok
./sparse-gen --file sparse-data.txt --n_points 100 --n_dimension 100 --type real --distribution normal --mean 100 --stddev 10 --sparsity 0.1 --zipf 0.8 --format dense
./sparse-gen --file sparse-data.txt --n_points 100 --n_dimension 100 --type real --distribution normal --mean 100 --stddev 10 --sparsity 0.1 --zipf 0.0 --format line --row_uncertainty 0.2
./sparse-gen --file sparse-data.txt --n_points 100 --n_dimension 100 --type real --distribution gamma --alpha 2 --beta 2 --sparsity 0.1 --zipf 0.0 --format line --row_uncertainty 0.2
./sparse-gen --file sparse-data.txt --n_points 100 --n_dimension 100 --type real --distribution weibull --a 2 --b 4 --sparsity 0.1 --zipf 0.0 --format line --row_uncertainty 0.2
Deploy data generator using Docker
# See https://www.docker.com for Docker installation
git clone https://github.com/luyi0619/datagen.git
cd datagen
docker build -t datagen .
docker run --rm -ti -v $local_path_to_data_files:/data datagen /bin/bash
cd /datagen
# run commands above