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Diffstat (limited to 'docs/mllib-feature-extraction.md')
| -rw-r--r-- | docs/mllib-feature-extraction.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/mllib-feature-extraction.md b/docs/mllib-feature-extraction.md index 4c027c84ec..67c033e9e4 100644 --- a/docs/mllib-feature-extraction.md +++ b/docs/mllib-feature-extraction.md @@ -333,7 +333,7 @@ Details you can read at [dimensionality reduction](mllib-dimensionality-reductio The following code demonstrates how to compute principal components on a `Vector` and use them to project the vectors into a low-dimensional space while keeping associated labels -for calculation a [Linear Regression]((mllib-linear-methods.html)) +for calculation a [Linear Regression](mllib-linear-methods.html) <div class="codetabs"> <div data-lang="scala" markdown="1"> |