Knowing what to cast the model to is hard

I have been writing a few tests about saving the model and reloading the models, and casting the model members to the right types, so I can get to something nested.

Example

`(IEstimator pipe, IDataView dataView) = GetBinaryClassificationPipeline();

pipe = pipe.Append(ML.BinaryClassification.Trainers.LogisticRegression(
new LogisticRegression.Options
{
ShowTrainingStatistics = true,
ComputeStandardDeviation = new ComputeLRTrainingStdThroughMkl(),
}));

// SEE THE CASTS
var transformer = pipe.Fit(dataView) as TransformerChain>>;

var linearModel = transformer.LastTransformer.Model.SubModel as LinearBinaryModelParameters;
var stats = linearModel.Statistics;

var modelPath = GetOutputPath("temp.zip");
// Save model.
using (var file = File.Create(modelPath))
transformer.SaveTo(ML, file);

// Load model.
TransformerChain transformerChain;
using (var file = File.OpenRead(modelPath))
transformerChain = TransformerChain.LoadFrom(ML, file);

// SEE THE CASTS
var lastTransformer = transformerChain.LastTransformer as BinaryPredictionTransformer>;
var model = lastTransformer.Model as ParameterMixingCalibratedModelParameters, ICalibrator>;
linearModel = model.SubModel as LinearBinaryModelParameters;
var stats = linearModel.Statistics;
`

Notice the casts
The only way to get to the Statistics (or weights, bias etc) is by casting to the right type.
It takes living in the Visual Studio debugger to figure out the right types..