Using the node.js bindings and its local model object to predict from a csv file.
Usage:
cat input.csv | node act_model.js > predictions.csv
bigmler analyze --features \ | |
--dataset dataset/535f5ecc37203f272e0001b4 \ | |
--penalty 0.002 --staleness 3 --k-folds 2 |
bigmler analyze --features \ | |
--dataset dataset/535f5ecc37203f272e0001b4 \ | |
--k-folds 2 --max-parallel-models 2 \ | |
--max-parallel-evaluations 2 |
bigmler analyze --features \ | |
--dataset dataset/535f5ecc37203f272e0001b4 \ | |
--maximize recall |
bigmler analyze --nodes \ | |
--dataset dataset/535f5ecc37203f272e0001b4 |
bigmler analyze --nodes \ | |
--dataset dataset/535f5ecc37203f272e0001b4 \ | |
--min-nodes 5 --max-nodes 25 --nodes-step 5 \ | |
--k-folds 2 --maximize phi |
bigmler analyze --dataset dataset/536653050af5e86d9c01549e \ | |
--cross-validation --k-folds 3 |
bigmler cluster –train my_dataset |
bigmler cluster --train my_dataset --k 3 |
bigmler cluster --dataset dataset/53b1f71437203f5ac30004a2 \ | |
--cluster-seed my_seed --test my_new_instances.csv |