Package cascading.pattern.pmml

Source Code of cascading.pattern.pmml.PMMLUtil

/*
* Copyright (c) 2007-2013 Concurrent, Inc. All Rights Reserved.
*
* Project and contact information: http://www.cascading.org/
*
* This file is part of the Cascading project.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
*     http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

package cascading.pattern.pmml;

import java.util.ArrayList;
import java.util.List;

import cascading.pattern.PatternException;
import cascading.pattern.ensemble.selection.Average;
import cascading.pattern.ensemble.selection.MajorityVote;
import cascading.pattern.ensemble.selection.SelectionStrategy;
import com.google.common.base.Function;
import com.google.common.collect.Lists;
import org.dmg.pmml.Array;
import org.dmg.pmml.MiningModel;
import org.dmg.pmml.MultipleModelMethodType;
import org.dmg.pmml.Value;
import org.jpmml.evaluator.ArrayUtil;

/**
*
*/
class PMMLUtil
  {
  public static List<?> parseArray( Array arrayType )
    {
    List<String> tokenize = ArrayUtil.parse( arrayType );

    List result;

    if( arrayType.getType() == Array.Type.REAL )
      {
      result = Lists.transform( tokenize, new Function<String, Double>()
      {
      @Override
      public Double apply( String input )
        {
        return Double.parseDouble( input );
        }
      } );
      }
    else if( arrayType.getType() == Array.Type.INT )
      {
      result = Lists.transform( tokenize, new Function<String, Integer>()
      {
      @Override
      public Integer apply( String input )
        {
        return Integer.parseInt( input );
        }
      } );
      }
    else if( arrayType.getType() == Array.Type.STRING )
      {
      result = tokenize;
      }
    else
      {
      throw new UnsupportedOperationException( "unknown array type: " + arrayType.getType() );
      }

    return new ArrayList( result ); // minimize serialization closure
    }

  public static List<String> asStrings( List<Value> results )
    {
    List<String> result = Lists.transform( results, new Function<Value, String>()
    {
    @Override
    public String apply( Value input )
      {
      if( input.getProperty() != Value.Property.VALID )
        throw new UnsupportedOperationException( "data field property not supported: " + input.getProperty() );

      return input.getValue();
      }
    } );

    return new ArrayList<String>( result ); // minimize serialization closure
    }

  static SelectionStrategy getSelectionStrategy( MiningModel model )
    {
    MultipleModelMethodType modelMethod = model.getSegmentation().getMultipleModelMethod();

    switch( modelMethod )
      {
      case MAJORITY_VOTE:
        return new MajorityVote();
      case AVERAGE:
        return new Average();
      case WEIGHTED_MAJORITY_VOTE:
        break;
      case WEIGHTED_AVERAGE:
        break;
      case MEDIAN:
        break;
      case MAX:
        break;
      case SUM:
        break;
      case SELECT_FIRST:
        break;
      case SELECT_ALL:
        break;
      case MODEL_CHAIN:
        break;
      }

    throw new PatternException( "only majority vote method supported, got: " + modelMethod );
    }
  }
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