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// g++ Test.cc -o Test -I../src -L../lib -lstdc++ -lEDM -lpthread -llapack -O3
// -g -DDEBUG
#include "API.h"
//----------------------------------------------------------------
// Suite of tests for API functionality
// Does not evaluate numerical results or accuracy.
//
// After running Test, visual inspection can be done via R:
// > source( "PlotTest.R" )
// > Run()
// > Clean()
//----------------------------------------------------------------
#define EMBED_TEST
#define SIMPLEX_TEST1
#define SIMPLEX_TEST2
#define MULTIVIEW_TEST
#define SMAP_TEST1
#define SMAP_TEST2
#define CCM_TEST1
#define CCM_TEST2
#define EMBED_DIMENSION
#define PREDICT_INTERVAL
#define PREDICT_NONLINEAR
//----------------------------------------------------------------
//
//----------------------------------------------------------------
int main( int argc, char *argv[] ) {
try {
#ifdef EMBED_TEST
//----------------------------------------------------------
// Embedding of data file
//----------------------------------------------------------
DataFrame< double > EmbedFrame = Embed( "../data/", "block_3sp.csv",
2, -1, "x_t y_t z_t", true );
std::cout << EmbedFrame;
//----------------------------------------------------------
// Embedding of DataFrame object not read from disk
// Load data into DataIO dataFrame, then subset dataFrame
// based on column names in Parameters, then pass to Embed.
// Could bypass Parameters and select dataFrame with explicit colNames
//----------------------------------------------------------
Parameters param = Parameters( Method::Simplex, // method
"../data/", // pathIn
"block_3sp.csv", // dataFile
"", // pathOut
"", // predictOutputFile
"1 100", // lib_str
"190 198", // pred_str
2, // E
1, // Tp
0, // knn
-1, // tau
0, // theta
0, // exclusionRadius
"x_t y_t z_t" ); // columns_str
std::cout << param;
DataFrame< double > dio ( param.pathIn, param.dataFile );
DataFrame< double > D =
dio.DataFrameFromColumnNames( param.columnNames );
std::cout << "block_3sp.csv Embed():\n";
std::cout << D;
DataFrame< double > EmbedFrame2 = Embed(D, 2, -1, "x_t y_t z_t", true);
std::cout << "block_3sp.csv DataFrame Embed():\n";
std::cout << EmbedFrame2;
#endif
#ifdef SIMPLEX_TEST1
//----------------------------------------------------------
// embedded = true : data file is multivariable embedding
//----------------------------------------------------------
SimplexValues S =
Simplex( "../data/", // pathIn
"block_3sp.csv", // dataFile
"./", // pathOut
"cppBlock3sp_Embedded.csv", // predictFile
"1 100", // lib
"101 195", // pred
3, // E
1, // Tp
0, // knn
-1, // tau
0, // exclusionRadius
"x_t x_t-1 x_t-2", // columns
"x_t", // target
true, // embedded
false, // const_predict
true ); // verbose
std::cout << S.predictions;
VectorError ve = ComputeError(
S.predictions.VectorColumnName( "Observations" ),
S.predictions.VectorColumnName( "Predictions" ) );
std::cout << "Simplex embedded block_3sp.csv:\n";
std::cout << "rho " << ve.rho << " RMSE " << ve.RMSE
<< " MAE " << ve.MAE << std::endl << std::endl;
#endif
#ifdef SIMPLEX_TEST2
//----------------------------------------------------------
// embedded = false : Simplex embeds data file columns to E
//----------------------------------------------------------
SimplexValues S2 =
Simplex( "../data/", // pathIn
"block_3sp.csv", // dataFile
"./", // pathOut
"cppBlock3sp_E3.csv", // predictFile
"1 100", // lib
"101 195", // pred
3, // E
1, // Tp
0, // knn
-1, // tau
0, // exclusionRadius
"x_t y_t z_t", // columns
"x_t", // target
false, // embedded
false, // const_predict
true ); // verbose
S2.predictions.MaxRowPrint() = 12; // Set number of rows to print
std::cout << S.predictions;
VectorError ve2 = ComputeError(
S2.predictions.VectorColumnName( "Observations" ),
S2.predictions.VectorColumnName( "Predictions" ) );
std::cout << "Simplex E=3 block_3sp.csv:\n";
std::cout << "rho " << ve2.rho << " RMSE " << ve2.RMSE
<< " MAE " << ve2.MAE << std::endl << std::endl;
#endif
#ifdef MULTIVIEW_TEST
//----------------------------------------------------------
//----------------------------------------------------------
MultiviewValues MV =
Multiview( "../data/",
"block_3sp.csv",
"./", "MultiviewBlock3sp.csv",
"1 100", // lib
"101 198", // pred
0, // D
3, // E
1, // Tp
0, // knn
-1, // tau
"x_t y_t z_t", // columns
"x_t", // target,
0, // multiview
0, // exclusionRadius
true, // trainLib
false, // excludeTarget
false, // verbose,
1 ); // nThreads
DataFrame< double > MVPredictions = MV.Predictions;
VectorError vemv =
ComputeError( MVPredictions.VectorColumnName( "Observations" ),
MVPredictions.VectorColumnName( "Predictions" ));
std::cout << "Multiview() block_3sp.csv:\nrho " << vemv.rho
<< " MAE " << vemv.MAE
<< " RMSE " << vemv.RMSE << std::endl;
#endif
#ifdef SMAP_TEST1
//----------------------------------------------------------
// embedded = false : SMap embeds data file columns to E
//----------------------------------------------------------
SMapValues SMV =
SMap( "../data/", // pathIn
"block_3sp.csv", // dataFile
"./", // pathOut
"smap_3sp_Embed.csv", // predictFile
"1 100", // lib
"101 195", // pred
3, // E
1, // Tp
0, // knn
-1, // tau
3., // theta
0, // exclusionRadius
"x_t", // columns
"x_t", // target
"smap_3sp_coeff.csv", // smapCoefFile
"", // smapSVFile
false, // embedded
false, // const_predict
true ); // verbose
DataFrame< double > predictions = SMV.predictions;
DataFrame< double > coefficients = SMV.coefficients;
std::cout << predictions;
VectorError vesm = ComputeError(
predictions.VectorColumnName( "Observations" ),
predictions.VectorColumnName( "Predictions" ) );
std::cout << "SMap E=3 block_3sp.csv:\n";
std::cout << "rho " << vesm.rho << " RMSE " << vesm.RMSE
<< " MAE " << vesm.MAE << std::endl << std::endl;
#endif
#ifdef SMAP_TEST2
//----------------------------------------------------------
// embedded = true : Circle
//----------------------------------------------------------
SMapValues SMV2 =
SMap( "../data/", // pathIn
"circle.csv", // dataFile,
"./", // pathOut
"smap_circle.csv", // predictFile
"1 100", // lib
"101 198", // pred
2, // E
1, // Tp
0, // knn
-1, // tau
4., // theta
0, // exclusionRadius
"x y", // columns
"x", // target
"smap_circ_coeff.csv", // smapCoefFile
"", // smapSVFile
true, // embedded
false, // const_predict
true ); // verbose
DataFrame< double > predictions2 = SMV2.predictions;
DataFrame< double > coefficients2 = SMV2.coefficients;
std::cout << predictions2;
VectorError vesm2 = ComputeError(
predictions2.VectorColumnName( "Observations" ),
predictions2.VectorColumnName( "Predictions" ) );
std::cout << "SMap embedded circle.csv:\n";
std::cout << "rho " << vesm2.rho << " RMSE " << vesm2.RMSE
<< " MAE " << vesm2.MAE << std::endl << std::endl;
#endif
#ifdef CCM_TEST1
//----------------------------------------------------------
//----------------------------------------------------------
CCMValues CCMVals1 =
CCM( "../data/", // pathIn
"sardine_anchovy_sst.csv", // dataFile
"./", // pathOut
"ccm-out.csv", // predictFile
3, // E
0, // Tp
0, // knn
-1, // tau
0, // exclusionRadius
"anchovy", // columns
"np_sst", // target
"10 70 10", // libSizes_str
100, // sample
true, // random
false, // replacement
0, // seed
false, // embedded
false, // includeData
true ); // verbose
std::cout << "CCM sardine_anchovy_sst.csv:\n";
std::cout << CCMVals1.AllLibStats;
#endif
#ifdef CCM_TEST2
//----------------------------------------------------------
//----------------------------------------------------------
CCMValues CCMVals2 =
CCM( "../data/", // pathIn
"LorenzData1000.csv", // dataFile
"./", // pathOut
"Lorenz_MVE_CCM.csv", // predictFile
3, // E
0, // Tp
0, // knn
-1, // tau
0, // exclusionRadius
"V1 V2 V3", // columns
"V5 V4", // target
"20 50 100 500 950", // libSizes_str
5, // sample
true, // random
false, // replacement
0, // seed
false, // embedded
false, // includeData
true ); // verbose
std::cout << "Lorenz_MVE_CCM.csv:\n";
std::cout << CCMVals2.AllLibStats;
#endif
#ifdef EMBED_DIMENSION
//----------------------------------------------------------
//----------------------------------------------------------
DataFrame< double > EMBD =
EmbedDimension( "../data/", // pathIn
"TentMap_rEDM.csv", // dataFile
"./", // pathOut
"EmbedDimOut.csv", // predictFile
"1 100", // lib
"201 500", // pred
10, // maxE
1, // Tp
-1, // tau
0, // exclusionRadius
"TentMap", // colNames
"", // targetName
false, // embedded
false, // verbose
std::vector<bool>(),// validLib
4 ); // nThreads
std::cout << "EmbedDimension TentMap_rEDM.csv:\n";
std::cout << EMBD;
#endif
#ifdef PREDICT_INTERVAL
//----------------------------------------------------------
//----------------------------------------------------------
DataFrame< double > PD =
PredictInterval( "../data/", // pathIn
"TentMap_rEDM.csv", // dataFile
"./", // pathOut
"PredictIntervalOut.csv",// predictFile
"1 100", // lib
"201 500", // pred
10, // maxTp
2, // E
-1, // tau
0, // exclusionRadius
"TentMap", // colNames
"", // targetName,
false, // embedded
false, // verbose
std::vector<bool>(), // validLib
4 ); // nThreads
std::cout << "PredictInterval TentMap_rEDM.csv:\n";
std::cout << PD;
#endif
#ifdef PREDICT_NONLINEAR
//----------------------------------------------------------
//----------------------------------------------------------
DataFrame< double > NL =
PredictNonlinear( "../data/", // pathIn,
"TentMapNoise_rEDM.csv", // dataFile,
"./", // pathOut,
"PredictNonlinearOut.csv", // predictFile,
"1 100", // lib,
"201 500", // pred,
"", // theta,
2, // E,
1, // Tp,
0, // knn,
-1, // tau,
0, // exclusionRadius
"TentMap", // colNames,
"", // targetName,
false, // embedded,
false, // verbose,
std::vector<bool>(), // validLib
4 ); // nThreads
NL.MaxRowPrint() = 15;
std::cout << "PredictNonlinear TentMapNoise_rEDM.csv:\n";
std::cout << NL;
#endif
}
catch ( const std::exception& e ) {
std::cout << "Exception caught in main:\n";
std::cout << e.what() << std::endl;
return -1;
}
catch (...) {
std::cout << "Unknown exception caught in main.\n";
return -1;
}
std::cout << "normal termination\n";
return 0;
}