Serial Command Line Run Fixes

Author: ryanurbs

streamline/PDF_ReportMain.py

@@ -77,7 +77,7 @@ def main(argv):
         else:
             print(str(job_counter)+ " job submitted in Phase 10")
 
-def submitLocalJob(experiment_path):
+def submitLocalJob(experiment_path,training,rep_data_path,dataset_for_rep):
     """ Runs PDF_ReportJob.py locally, once. """
     PDF_ReportJob.job(experiment_path,training,rep_data_path,dataset_for_rep)
 

streamline/StatsMain.py

@@ -142,7 +142,7 @@ def main(argv):
 
 def submitLocalJob(full_path,plot_ROC,plot_PRC,plot_FI_box,class_label,instance_label,cv_partitions,scale_data,plot_metric_boxplots,primary_metric,top_model_features,sig_cutoff,metric_weight,jupyterRun):
     """ Runs StatsJob.py locally, once for each of the original target datasets (all CV datasets analyzed at once). These runs will be completed serially rather than in parallel. """
-    StatsJob.job(full_path,plot_ROC,plot_PRC,plot_FI_box,class_label,instance_label,cv_partitions,scale_data,plot_metric_boxplots,primary_metric,top_model_features,sig_cutoff,jupyterRun)
+    StatsJob.job(full_path,plot_ROC,plot_PRC,plot_FI_box,class_label,instance_label,cv_partitions,scale_data,plot_metric_boxplots,primary_metric,top_model_features,sig_cutoff,metric_weight,jupyterRun)
 
 def submitClusterJob(full_path,plot_ROC,plot_PRC,plot_FI_box,class_label,instance_label,experiment_path,cv_partitions,scale_data,reserved_memory,maximum_memory,queue,plot_metric_boxplots,primary_metric,top_model_features,sig_cutoff,metric_weight,jupyterRun):
     """ Runs StatsJob.py once for each of the original target datasets (all CV datasets analyzed at once). Runs in parallel on a linux-based computing cluster that uses an IBM Spectrum LSF for job scheduling."""