Added missing space (#20620)

Author: ThomasArdal

docs/machine-learning/how-to-guides/retrain-model-ml-net.md

@@ -47,7 +47,7 @@ ITransformer trainedModel = mlContext.Model.Load("ogd_model.zip", out modelSchem
 
 ## Extract pre-trained model parameters
 
-Once the model is loaded, extract the learned model parameters by accessing the [`Model`](xref:Microsoft.ML.Data.PredictionTransformerBase`1.Model*) property of the pre-trained model. The pre-trained model was trained using the linear regression model [`OnlineGradientDescentTrainer`](xref:Microsoft.ML.Trainers.OnlineGradientDescentTrainer) which creates a[`RegressionPredictionTransformer`](xref:Microsoft.ML.Data.RegressionPredictionTransformer%601) that outputs [`LinearRegressionModelParameters`](xref:Microsoft.ML.Trainers.LinearRegressionModelParameters). These linear regression model parameters contain the learned bias and weights or coefficients of the model. These values will be used as a starting point for the new re-trained model.
+Once the model is loaded, extract the learned model parameters by accessing the [`Model`](xref:Microsoft.ML.Data.PredictionTransformerBase`1.Model*) property of the pre-trained model. The pre-trained model was trained using the linear regression model [`OnlineGradientDescentTrainer`](xref:Microsoft.ML.Trainers.OnlineGradientDescentTrainer) which creates a [`RegressionPredictionTransformer`](xref:Microsoft.ML.Data.RegressionPredictionTransformer%601) that outputs [`LinearRegressionModelParameters`](xref:Microsoft.ML.Trainers.LinearRegressionModelParameters). These linear regression model parameters contain the learned bias and weights or coefficients of the model. These values will be used as a starting point for the new re-trained model.
 
 ```csharp
 // Extract trained model parameters