public void MergeFrom(pb::CodedInputStream input)
{
uint tag;
while ((tag = input.ReadTag()) != 0)
{
switch (tag)
{
default:
_unknownFields = pb::UnknownFieldSet.MergeFieldFrom(_unknownFields, input);
break;
case 13: {
Precision = input.ReadFloat();
break;
}
case 21: {
Recall = input.ReadFloat();
break;
}
case 29: {
F1Score = input.ReadFloat();
break;
}
case 37: {
MeanAbsoluteError = input.ReadFloat();
break;
}
case 45: {
MeanSquaredError = input.ReadFloat();
break;
}
case 53: {
LinearKappa = input.ReadFloat();
break;
}
case 61: {
QuadraticKappa = input.ReadFloat();
break;
}
case 66: {
if (confusionMatrix_ == null)
{
ConfusionMatrix = new global::Google.Cloud.AutoML.V1.ClassificationEvaluationMetrics.Types.ConfusionMatrix();
}
input.ReadMessage(ConfusionMatrix);
break;
}
}
}
}
public void MergeFrom(TextSentimentEvaluationMetrics other)
{
if (other == null)
{
return;
}
if (other.Precision != 0F)
{
Precision = other.Precision;
}
if (other.Recall != 0F)
{
Recall = other.Recall;
}
if (other.F1Score != 0F)
{
F1Score = other.F1Score;
}
if (other.MeanAbsoluteError != 0F)
{
MeanAbsoluteError = other.MeanAbsoluteError;
}
if (other.MeanSquaredError != 0F)
{
MeanSquaredError = other.MeanSquaredError;
}
if (other.LinearKappa != 0F)
{
LinearKappa = other.LinearKappa;
}
if (other.QuadraticKappa != 0F)
{
QuadraticKappa = other.QuadraticKappa;
}
if (other.confusionMatrix_ != null)
{
if (confusionMatrix_ == null)
{
ConfusionMatrix = new global::Google.Cloud.AutoML.V1.ClassificationEvaluationMetrics.Types.ConfusionMatrix();
}
ConfusionMatrix.MergeFrom(other.ConfusionMatrix);
}
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
