to properties

Author: ganik

src/Microsoft.ML.StandardLearners/Standard/Online/AveragedPerceptron.cs

@@ -66,7 +66,7 @@ public sealed class Options : AveragedLinearOptions
             /// <summary>
             /// A custom <a href="tmpurl_loss">loss</a>.
             /// </summary>
-            public IClassificationLoss LossFunction;
+            public IClassificationLoss LossFunction { get; set; }
 
             /// <summary>
             /// The <a href="tmpurl_calib">calibrator</a> for producing probabilities. Default is exponential (aka Platt) calibration.

src/Microsoft.ML.StandardLearners/Standard/Online/OnlineGradientDescent.cs

@@ -39,7 +39,7 @@ public sealed class Options : AveragedLinearOptions
             [TGUI(Label = "Loss Function")]
             internal ISupportRegressionLossFactory RegressionLossFunctionFactory = new SquaredLossFactory();
 
-            public IRegressionLoss LossFunction;
+            public IRegressionLoss LossFunction { get; set; }
 
             internal override IComponentFactory<IScalarLoss> LossFunctionFactory => RegressionLossFunctionFactory;
 

src/Microsoft.ML.StandardLearners/Standard/SdcaBinary.cs

@@ -1658,7 +1658,7 @@ public sealed class Options : BinaryOptionsBase
             /// <value>
             /// If unspecified, <see cref="LogLoss"/> will be used.
             /// </value>
-            public ISupportSdcaClassificationLoss LossFunction;
+            public ISupportSdcaClassificationLoss LossFunction { get; set; }
         }
 
         internal SdcaNonCalibratedBinaryTrainer(IHostEnvironment env,

src/Microsoft.ML.StandardLearners/Standard/SdcaMultiClass.cs

@@ -55,7 +55,7 @@ public sealed class Options : OptionsBase
             /// <value>
             /// If unspecified, <see cref="LogLoss"/> will be used.
             /// </value>
-            public ISupportSdcaClassificationLoss LossFunction;
+            public ISupportSdcaClassificationLoss LossFunction { get; set; }
         }
 
         private readonly ISupportSdcaClassificationLoss _loss;

src/Microsoft.ML.StandardLearners/Standard/SdcaRegression.cs

@@ -52,7 +52,7 @@ public sealed class Options : OptionsBase
             /// <value>
             /// Defaults to <see cref="SquaredLoss"/>
             /// </value>
-            public ISupportSdcaRegressionLoss LossFunction;
+            public ISupportSdcaRegressionLoss LossFunction { get; set; }
 
             /// <summary>
             /// Create the <see cref="Options"/> object.