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      1 /*
      2  * Copyright (C) 2012 The Android Open Source Project
      3  *
      4  * Licensed under the Apache License, Version 2.0 (the "License");
      5  * you may not use this file except in compliance with the License.
      6  * You may obtain a copy of the License at
      7  *
      8  *      http://www.apache.org/licenses/LICENSE-2.0
      9  *
     10  * Unless required by applicable law or agreed to in writing, software
     11  * distributed under the License is distributed on an "AS IS" BASIS,
     12  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     13  * See the License for the specific language governing permissions and
     14  * limitations under the License.
     15  */
     16 
     17 // This file contains a few utilities for MulticlassPA
     18 
     19 #include "learning/multiclass_pa/util.h"
     20 
     21 #include <string>
     22 
     23 #include "learning/multiclass_pa/multiclass_pa.h"
     24 #include "learning/multiclass_pa/multiclass_pa_max.h"
     25 #include "learning/multiclass_pa/multiclass_pa_opt.h"
     26 #include "learning/multiclass_pa/multiclass_warp.h"
     27 #include "strings/strutil.h"
     28 
     29 namespace learning_multiclass_pa {
     30 
     31 MulticlassPA* CreateMulticlassPA(const string& version,
     32                                  int32 num_classes,
     33                                  int32 num_dimensions,
     34                                  float aggressiveness) {
     35   MulticlassPA* machine = NULL;
     36   if (StringCaseEqual(version, "max")) {
     37     machine = reinterpret_cast<MulticlassPA*>(
     38       new MulticlassPAMax(num_classes, num_dimensions, aggressiveness));
     39   } else if (StringCaseEqual(version, "opt")) {
     40     machine = reinterpret_cast<MulticlassPA*>(
     41       new MulticlassPAOpt(num_classes, num_dimensions, aggressiveness));
     42   } else if (StringCaseEqual(version, "random")) {
     43     machine = new MulticlassPA(num_classes, num_dimensions, aggressiveness);
     44   } else if (StringCaseEqual(version, "warp")) {
     45     machine = reinterpret_cast<MulticlassPA*>(
     46       new MulticlassWarp(num_classes, num_dimensions, aggressiveness));
     47   } else {
     48     LOG(ERROR) << "Machine type (" << version << ") unknown";
     49   }
     50   return machine;
     51 }
     52 }  // namespace learning_multiclass_pa
     53