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); }