public static List<DataSet> loadPPTest(int from, int to) throws IOException {
ClassPathResource resource = new ClassPathResource("/pptest.dat");
@SuppressWarnings("unchecked")
List<String> lines = IOUtils.readLines(resource.getInputStream());
List<DataSet> list = new ArrayList<>();
INDArray ret = Nd4j.ones(Math.abs(to - from), 4);
double[][] outcomes = new double[lines.size()][3];
int putCount = 0;
for (int i = from; i < to; i++) {
String line = lines.get(i);
String[] split = line.split(",");
addRow(ret, putCount++, split);
String outcome = split[split.length - 1];
double[] rowOutcome = new double[3];
rowOutcome[Integer.parseInt(outcome)] = 1;
outcomes[i] = rowOutcome;
}
for (int i = 0; i < ret.rows(); i++) {
DataSet add = new DataSet(ret.getRow(i), Nd4j.create(outcomes[from + i]));
list.add(add);
}
return list;
}
@Test
public void testLoader() throws Exception {
Nd4j.dtype = DataBuffer.Type.DOUBLE;
KernelFunctionLoader loader = KernelFunctionLoader.getInstance();
loader.load();
ClassPathResource res =
new ClassPathResource(
"/cudafunctions.properties", KernelFunctionLoader.class.getClassLoader());
if (!res.exists())
throw new IllegalStateException("Please put a cudafunctions.properties in your class path");
Properties props = new Properties();
props.load(res.getInputStream());
loader.unload();
}