hbpmip/java-jsi-clus-pct-ts: Predictive Clustering Trees (PCTs) for time-series prediction from JSI

Implementation of the Predictive Clustering Trees capable of time-series prediction. http://kt.ijs.si

Usage

  docker run --rm --env [list of environment variables] hbpmip/java-jsi-clus-pct-ts compute

where the environment variables are:

NODE: name of the node (machine) used for execution
JOB_ID: ID of the job.
IN_JDBC_DRIVER: org.postgresql.Driver
IN_JDBC_URL: URL to the input database, e.g. jdbc:postgresql://db:5432/features
IN_JDBC_USER: User for the input database
IN_JDBC_PASSWORD: Password for the input database
OUT_JDBC_DRIVER: org.postgresql.Driver
OUT_JDBC_URL: URL to the output database, jdbc:postgresql://db:5432/woken
OUT_JDBC_USER: User for the output database
OUT_JDBC_PASSWORD: Password for the output database
PARAM_variables: List of target variables
PARAM_covariables: List of input variables
PARAM_query: Query selecting the data to feed into the algorithm for training
PARAM_MODEL_pruned: PCTs can be pruned or not. Use PARAM_MODEL_pruned=yes to prune and PARAM_MODEL_pruned=no otherwise (default is PARAM_MODEL_pruned=yes)
PARAM_MODEL_minobj: Specify minimal number of examples in leaf nodes of the PCT (default is PARAM_MODEL_minobj=2)