Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Fix broken link format #175

Open
wants to merge 2 commits into
base: main
Choose a base branch
from
Open
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Original file line number Diff line number Diff line change
Expand Up @@ -37,9 +37,9 @@
* [Tokenization](https://en.wikipedia.org/wiki/Lexical_analysis#Tokenization)
* [Text normalization](https://en.wikipedia.org/wiki/Text_normalization)
* [Predefined and custom stopwords removal](https://en.wikipedia.org/wiki/Stop_words)
* [Word-based or character-based Ngram extraction and SkipGram extraction (through the advanced [options](xref:Microsoft.ML.Transforms.TextFeaturizingEstimator.Options.WordFeatureExtractor))](https://en.wikipedia.org/wiki/N-gram)
* [Word-based or character-based Ngram extraction and SkipGram extraction](https://en.wikipedia.org/wiki/N-gram) (through the advanced [options](xref:Microsoft.ML.Transforms.TextFeaturizingEstimator.Options.WordFeatureExtractor))
* [TF, IDF or TF-IDF](https://en.wikipedia.org/wiki/Tf%E2%80%93idf)
* [L-p vector normalization](xref: Microsoft.ML.Transforms.LpNormNormalizingTransformer)
* [L-p vector normalization](xref:Microsoft.ML.Transforms.LpNormNormalizingTransformer)

By default the features are made of (word/character) n-grams/skip-grams​ and the number of features are equal to the vocabulary size found by analyzing the data.
To output an additional column with the tokens generated, use [OutputTokensColumnName](xref:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.OutputTokensColumnName).
Expand Down