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Diffstat (limited to 'docs/ml-features.md')
| -rw-r--r-- | docs/ml-features.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/ml-features.md b/docs/ml-features.md index 19ec574697..d2f036fb08 100644 --- a/docs/ml-features.md +++ b/docs/ml-features.md @@ -710,7 +710,7 @@ for more details on the API. `VectorIndexer` helps index categorical features in datasets of `Vector`s. It can both automatically decide which features are categorical and convert original values to category indices. Specifically, it does the following: -1. Take an input column of type [Vector](api/scala/index.html#org.apache.spark.mllib.linalg.Vector) and a parameter `maxCategories`. +1. Take an input column of type [Vector](api/scala/index.html#org.apache.spark.ml.linalg.Vector) and a parameter `maxCategories`. 2. Decide which features should be categorical based on the number of distinct values, where features with at most `maxCategories` are declared categorical. 3. Compute 0-based category indices for each categorical feature. 4. Index categorical features and transform original feature values to indices. |