PLearn 0.1
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#include "GenerateDecisionPlot.h"
#include <plearn/math/VecStatsCollector.h>
#include <plearn/vmat/VMat_basic_stats.h>
#include <plearn/io/load_and_save.h>
Go to the source code of this file.
Namespaces | |
namespace | PLearn |
< for swap | |
Functions | |
void | PLearn::DX_write_2D_fields (ostream &out, const string &basename, TVec< Mat > fields, real x0, real y0, real deltax, real deltay, TVec< string > fieldnames=TVec< string >()) |
void | PLearn::DX_write_2D_fields (ostream &out, const string &basename, Vec X, Vec Y, TVec< Mat > fields) |
TVec< Mat > | PLearn::computeOutputFields (PP< PLearner > learner, Vec X, Vec Y) |
TVec< Mat > | PLearn::computeOutputFields (PP< PLearner > learner, int nx, int ny, real x0, real y0, real deltax, real deltay) |
TVec< Mat > | PLearn::computeOutputFieldsAutoRange (PP< PLearner > learner, VMat dataset, int nx, int ny, real &x0, real &y0, real &deltax, real &deltay, real extraspace=.10) |
void | PLearn::computeXYPositions (VMat dataset, int nx, int ny, Vec &X, Vec &Y, real extraspace=.10) |
void | PLearn::DX_create_dataset_outputs_file (const string &filename, PP< PLearner > learner, VMat dataset) |
Will write a file containing a field with the dataset positions "dset" field will be input -> target, outputs. | |
void | PLearn::DX_create_grid_outputs_file (const string &filename, PP< PLearner > learner, VMat dataset, int nx, int ny, bool include_datapoint_grid=false, real xmin=MISSING_VALUE, real xmax=MISSING_VALUE, real ymin=MISSING_VALUE, real ymax=MISSING_VALUE, real extraspace=.10) |
The "outputs" field will contain sample-grid inputs -> outputs Where the sample grid is made of a regular grid of nx.ny points (in the range [xmin, xmax] x [ymin, ymax]) xmin, xmax, ymin and ymax may be left to MISSING_VALUE, in which case an automatic range will be determined from the range of the points in the given dataset extended by extraspace (ex: .10 == 10%). |
Definition in file GenerateDecisionPlot.cc.