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docs/code/MlNetHighLevelConcepts.md
@@ -10,7 +10,7 @@ This document is going to cover the following ML.NET concepts:
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- In ML.NET, data is very similar to a SQL view: it's a lazily-evaluated, immutable, cursorable, heterogenous, schematized dataset.
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- An excellent document about the data interface is [IDataView Design Principles](IDataViewDesignPrinciples.md).
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- [*Transformer*](#transformer), represented as `ITransformer` interface.
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- - In one sentence, a transformer is a component that takes data, does some work on it, and return new 'transformed' data.
+ - In one sentence, a transformer is a component that takes data, does some work on it, and returns new 'transformed' data.
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- For example, you can think of a machine learning model as a transformer that takes features and returns predictions.
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- Another example, 'text tokenizer' would take a single text column and output a vector column with individual 'words' extracted out of the texts.
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- [*Data reader*](#data-reader), represented as an `IDataReader<T>` interface.
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