public override void SaveSummary(TextWriter writer, RoleMappedSchema schema)
{
Host.CheckValue(writer, nameof(writer));
Host.CheckValue(schema, nameof(schema));
// REVIEW: Would be nice to have the settings!
var weights = Weight;
writer.WriteLine(LinearPredictorUtils.LinearModelAsText("Poisson Regression Predictor", null, null,
ref weights, Bias, schema, null));
}
///<inheritdoc/>
public IList <KeyValuePair <string, object> > GetSummaryInKeyValuePairs(RoleMappedSchema schema)
{
Host.CheckValue(schema, nameof(schema));
var weights = Weight;
List <KeyValuePair <string, object> > results = new List <KeyValuePair <string, object> >();
LinearPredictorUtils.SaveLinearModelWeightsInKeyValuePairs(ref weights, Bias, schema, results);
return(results);
}
public override void SaveAsIni(TextWriter writer, RoleMappedSchema schema, ICalibrator calibrator = null)
{
Host.CheckValue(writer, nameof(writer));
Host.CheckValue(schema, nameof(schema));
Host.CheckValueOrNull(calibrator);
var weights = Weight;
writer.Write(LinearPredictorUtils.LinearModelAsIni(ref weights, Bias, this,
schema, calibrator as PlattCalibrator));
}
public override void SaveSummary(TextWriter writer, RoleMappedSchema schema)
{
Host.CheckValue(schema, nameof(schema));
// REVIEW: Would be nice to have the settings!
var weights = Weight;
writer.WriteLine(LinearPredictorUtils.LinearModelAsText("Linear Binary Classification Predictor", null, null,
ref weights, Bias, schema));
_stats?.SaveText(writer, this, schema, 20);
}
/// <summary>
/// Output the INI model to a given writer
/// </summary>
public override void SaveAsIni(TextWriter writer, RoleMappedSchema schema, ICalibrator calibrator)
{
if (calibrator != null)
{
throw Host.ExceptNotImpl("Saving calibrators is not implemented yet.");
}
Host.CheckValue(writer, nameof(writer));
Host.CheckValue(schema, nameof(schema));
// REVIEW: For Poisson should encode the exp operation in the ini as well, bug 2433.
var weights = Weight;
writer.Write(LinearPredictorUtils.LinearModelAsIni(ref weights, Bias, this, schema, null));
}
/// <summary>
/// Output the text model to a given writer
/// </summary>
public void SaveAsCode(TextWriter writer, RoleMappedSchema schema)
{
Host.CheckValue(writer, nameof(writer));
Host.CheckValueOrNull(schema);
for (int i = 0; i < _biases.Length; i++)
{
LinearPredictorUtils.SaveAsCode(writer,
ref _weights[i],
_biases[i],
schema,
"score[" + i.ToString() + "]");
}
writer.WriteLine(string.Format("var softmax = MathUtils.SoftMax(scores, {0});", _numClasses));
for (int c = 0; c < _biases.Length; c++)
{
writer.WriteLine("output[{0}] = Math.Exp(scores[{0}] - softmax);", c);
}
}