java-jsi-clus-pct-ts

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
• MODEL_PARAM_pruned: PCTs can be pruned or not. Use MODEL_PARAM_pruned=yes to prune and MODEL_PARAM_pruned=no otherwise (default is MODEL_PARAM_pruned=yes)
• MODEL_PARAM_minobj: Specify minimal number of examples in leaf nodes of the PCT (default is MODEL_PARAM_minobj=2)