sample.yml

environment:
   project_id: # if null, build a new project
   project_name: 'sample_project'
   target_feature: target
   metric: 'RMSE' 
   cv_method: 'random'
   validation_type: 'CV' 
   validation_params:
      holdout_pct: 20
      #validation_pct: 10
      reps: 3    # number of cross validation folds to use
      seed: 2017 # a seed to use for randomization
   dataset:
       type: file
       path: './data/raw'
       filename: 'boston.csv'
   autopilot: 'manual' # fullauto, quick, manual
   convert_features:
      - {name: RAD, rename_to: RAD_categoricalInt, variable_type: categoricalInt}

fit:
   model_id:  # if None, run autopilot
   autopilot: 'fullauto'
   featurelist_name: 'without_feature'  # if already exist, current time string will be used
   source_featurelist: 'Raw Features'
   except_features:
      - 'NOX'
      - 'NOXX'
      - 'NOXXX'
      
predict:
   model_id:  # if None, a model will be automatically selected 
   input:
       type: 'file'
       path: './data/raw/'
       filename: 'boston.csv'
   reasoncode: True
   merge_origin: True 
   feature_impact: True
   output:
       type: 'file'
       path: './'
       filename: 'prediction.csv'