public void GlobalSetup()
{
// setup input sets
_inputSets = Enumerable.Range(0, 250).Select(_ =>
{
var inp = Enumerable.Range(0, NumInputs).Select(_ => (float)_rng.NextDouble()).ToArray();
return(inp);
}).ToArray();
// setup coefficients
_coeff = new float[NumInputs, NumOutputs];
_intercepts = new float[NumOutputs];
for (var ip = 0; ip < NumInputs; ++ip)
{
for (var op = 0; op < NumOutputs; ++op)
{
var v = (float)_rng.NextDouble();
_coeff[ip, op] = v; // column-major (normal)
}
}
for (var op = 0; op < NumOutputs; ++op)
{
_intercepts[op] = (float)_rng.NextDouble();
}
_linearEstimator = new LinearEstimator(_coeff, _intercepts);
}
public void BasicOperation()
{
var coefficients = new float[, ]
{
{ 1, 2, 3 }, { 4, 5, 6 }
};
var intercepts = new float[] { 100, 200, 300 };
using var est = new LinearEstimator(coefficients, intercepts);
var features = new float[] { 1, 2 };
var results = new float[3];
est.EstimateLinear(features, results);
Assert.Equal(new float[] { 109, 212, 315 }, results);
}