dotnet / dotnet/machinelearning
Clarifications Regarding ForeCastBySsa
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Description
**Note:** This is not a direct feature request but some questions, feature requests can be derived from those. I am posting them here since it is the only place I know where actual experienced contributors will answer.
1. How can I call the functionality of `mlnet forecasting` from a C# codefile (something like `RegressionExperiment` but for `ForeCastBySsa`).
2. How can I pass several features (columns) to `ForeCastBySsa`? do I just put them in the `IDataView` when I call `Fit`? what do I specify in the `inputColumnName` parameter? _I have tried adding more columns to the IDataView but the results are exactly the same as without the new columns_
3. How do I specify which columns are which type in the same manner we do in `ColumnInformation`? Categorical, etc.
4. Where can I find detailed non scientific documentation on what is the functionality of each parameter in `ForeCastBySsa` and how is it actually affects the prediction. I have already searched the official documentation, All-Samples and the source code of TimeSeries class but couldn't find detailed data.
Thanks!
Any help is appreciated :)
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