[SPARK-13015][MLlib][DOC] Replace example code in mllib-data-types.md using include_example #14006
Next
Next commit
add scala example and fix error prompt in include_example
- Loading branch information
commit 4fa23b4fb74e252bc9b8cd9cda0f1453752639bd
There are no files selected for viewing
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,179 @@ | ||
| /* | ||
| * Licensed to the Apache Software Foundation (ASF) under one or more | ||
| * contributor license agreements. See the NOTICE file distributed with | ||
| * this work for additional information regarding copyright ownership. | ||
| * The ASF licenses this file to You under the Apache License, Version 2.0 | ||
| * (the "License"); you may not use this file except in compliance with | ||
| * the License. You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
|
|
||
| // scalastyle:off println | ||
| package org.apache.spark.examples.mllib | ||
|
|
||
| import org.apache.spark.{SparkConf, SparkContext} | ||
| import org.apache.spark.mllib.linalg.{Matrices, Matrix} | ||
| // $example on:local-vector$ | ||
| import org.apache.spark.mllib.linalg.{Vector, Vectors} | ||
| // $example off:local-vector$ | ||
| import org.apache.spark.mllib.linalg.distributed.{BlockMatrix, CoordinateMatrix, MatrixEntry} | ||
| import org.apache.spark.mllib.linalg.distributed.{IndexedRow, IndexedRowMatrix, RowMatrix} | ||
| import org.apache.spark.mllib.regression.LabeledPoint | ||
| import org.apache.spark.mllib.util.MLUtils | ||
| import org.apache.spark.rdd.RDD | ||
|
|
||
|
|
||
| object DataTypesExamples { | ||
|
|
||
| def localVectorExample(): Unit = { | ||
| // $example on:local-vector$ | ||
| // Create a dense vector (1.0, 0.0, 3.0). | ||
| val dv: Vector = Vectors.dense(1.0, 0.0, 3.0) | ||
| // Create a sparse vector (1.0, 0.0, 3.0) by specifying its indices and values corresponding to | ||
| // nonzero entries. | ||
| val sv1: Vector = Vectors.sparse(3, Array(0, 2), Array(1.0, 3.0)) | ||
| // Create a sparse vector (1.0, 0.0, 3.0) by specifying its nonzero entries. | ||
| val sv2: Vector = Vectors.sparse(3, Seq((0, 1.0), (2, 3.0))) | ||
| // $example off:local-vector$ | ||
| } | ||
|
|
||
| def labeledPointExample(): Unit = { | ||
| // $example on:labeled-point$ | ||
| // Create a labeled point with a positive label and a dense feature vector. | ||
| val pos = LabeledPoint(1.0, Vectors.dense(1.0, 0.0, 3.0)) | ||
|
|
||
| // Create a labeled point with a negative label and a sparse feature vector. | ||
| val neg = LabeledPoint(0.0, Vectors.sparse(3, Array(0, 2), Array(1.0, 3.0))) | ||
| // $example off:labeled-point$ | ||
| } | ||
|
|
||
| def libsvmExample(): Unit = { | ||
| val sc = SparkContext.getOrCreate() | ||
| // $example on:libsvm$ | ||
| val examples: RDD[LabeledPoint] = | ||
| MLUtils.loadLibSVMFile(sc, "data/mllib/sample_libsvm_data.txt") | ||
| // $example off:libsvm$ | ||
| } | ||
|
|
||
| def localMatrixExample(): Unit = { | ||
| // $example on:local-matrix$ | ||
| // Create a dense matrix ((1.0, 2.0), (3.0, 4.0), (5.0, 6.0)) | ||
| val dm: Matrix = Matrices.dense(3, 2, Array(1.0, 3.0, 5.0, 2.0, 4.0, 6.0)) | ||
|
|
||
| // Create a sparse matrix ((9.0, 0.0), (0.0, 8.0), (0.0, 6.0)) | ||
| val sm: Matrix = Matrices.sparse(3, 2, Array(0, 1, 3), Array(0, 2, 1), Array(9, 6, 8)) | ||
| // $example off:local-matrix$ | ||
| } | ||
|
|
||
| def rowMatrixExample(): Unit = { | ||
| val sc = SparkContext.getOrCreate() | ||
| // $example on:row-matrix$ | ||
| val v1 = Vectors.dense(1.0, 10.0, 100.0) | ||
| val v2 = Vectors.dense(2.0, 20.0, 200.0) | ||
| val v3 = Vectors.dense(3.0, 30.0, 300.0) | ||
|
|
||
| val rows: RDD[Vector] = sc.parallelize(Seq(v1, v2, v3)) // an RDD of local vectors | ||
| // Create a RowMatrix from an RDD[Vector]. | ||
| val mat: RowMatrix = new RowMatrix(rows) | ||
|
|
||
| // Get its size. | ||
| val m = mat.numRows() | ||
| val n = mat.numCols() | ||
|
|
||
| // QR decomposition | ||
| val qrResult = mat.tallSkinnyQR(true) | ||
| // $example off:row-matrix$ | ||
| } | ||
|
|
||
| def indexedRowMatrixExample(): Unit = { | ||
| val sc = SparkContext.getOrCreate() | ||
|
|
||
| // $example on:indexed-row-matrix$ | ||
| val r0 = IndexedRow(0, Vectors.dense(1, 2, 3)) | ||
| val r1 = IndexedRow(1, Vectors.dense(4, 5, 6)) | ||
| val r2 = IndexedRow(2, Vectors.dense(7, 8, 9)) | ||
| val r3 = IndexedRow(3, Vectors.dense(10, 11, 12)) | ||
|
|
||
| val rows: RDD[IndexedRow] = sc.parallelize(Seq(r0, r1, r2, r3)) // an RDD of indexed rows | ||
| // Create an IndexedRowMatrix from an RDD[IndexedRow]. | ||
| val mat: IndexedRowMatrix = new IndexedRowMatrix(rows) | ||
|
|
||
| // Get its size. | ||
| val m = mat.numRows() | ||
| val n = mat.numCols() | ||
|
|
||
| // Drop its row indices. | ||
| val rowMat: RowMatrix = mat.toRowMatrix() | ||
| // $example off:indexed-row-matrix$ | ||
| } | ||
|
|
||
| def coordinateMatrixExample(): Unit = { | ||
| val sc = SparkContext.getOrCreate() | ||
|
|
||
| // $example on:coordinate-row-matrix$ | ||
| val me1 = MatrixEntry(0, 0, 1.2) | ||
| val me2 = MatrixEntry(1, 0, 2.1) | ||
| val me3 = MatrixEntry(6, 1, 3.7) | ||
|
|
||
| val entries: RDD[MatrixEntry] = sc.parallelize(Seq(me1, me2, me3)) // an RDD of matrix entries | ||
| // Create a CoordinateMatrix from an RDD[MatrixEntry]. | ||
| val mat: CoordinateMatrix = new CoordinateMatrix(entries) | ||
|
|
||
| // Get its size. | ||
| val m = mat.numRows() | ||
| val n = mat.numCols() | ||
|
|
||
| // Convert it to an IndexRowMatrix whose rows are sparse vectors. | ||
| val indexedRowMatrix = mat.toIndexedRowMatrix() | ||
| // $example off:coordinate-row-matrix$ | ||
| } | ||
|
|
||
| def blockMatrixExample(): Unit = { | ||
| val sc = SparkContext.getOrCreate() | ||
|
|
||
| // $example on:block-matrix$ | ||
| val me1 = MatrixEntry(0, 0, 1.2) | ||
| val me2 = MatrixEntry(1, 0, 2.1) | ||
| val me3 = MatrixEntry(6, 1, 3.7) | ||
|
|
||
| // an RDD of (i, j, v) matrix entries | ||
| val entries: RDD[MatrixEntry] = sc.parallelize(Seq(me1, me2, me3)) | ||
| // Create a CoordinateMatrix from an RDD[MatrixEntry]. | ||
| val coordMat: CoordinateMatrix = new CoordinateMatrix(entries) | ||
| // Transform the CoordinateMatrix to a BlockMatrix | ||
| val matA: BlockMatrix = coordMat.toBlockMatrix().cache() | ||
|
|
||
| // Validate whether the BlockMatrix is set up properly. | ||
| // Throws an Exception when it is not valid. | ||
| // Nothing happens if it is valid. | ||
| matA.validate() | ||
|
|
||
| // Calculate A^T A. | ||
| val ata = matA.transpose.multiply(matA) | ||
| // $example off:block-matrix$ | ||
| } | ||
|
|
||
| def main(args: Array[String]): Unit = { | ||
| val conf = new SparkConf().setAppName("DataTypeExamples") | ||
| val sc = new SparkContext(conf) | ||
|
|
||
| localVectorExample() | ||
| labeledPointExample() | ||
| libsvmExample() | ||
| localMatrixExample() | ||
| rowMatrixExample() | ||
| indexedRowMatrixExample() | ||
| coordinateMatrixExample() | ||
| blockMatrixExample() | ||
|
|
||
| sc.stop() | ||
| } | ||
| } | ||
| // scalastyle:on println |
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
I'd prefer
Otherwise the label itself might be mistaken for a file path.