{"action":"created","comment":{"url":"https://api.github.com/repos/apache/spark/pulls/comments/38940517","id":38940517,"diff_hunk":"@@ -0,0 +1,96 @@\n+/*\n+ * Licensed to the Apache Software Foundation (ASF) under one or more\n+ * contributor license agreements.  See the NOTICE file distributed with\n+ * this work for additional information regarding copyright ownership.\n+ * The ASF licenses this file to You under the Apache License, Version 2.0\n+ * (the \"License\"); you may not use this file except in compliance with\n+ * the License.  You may obtain a copy of the License at\n+ *\n+ *    http://www.apache.org/licenses/LICENSE-2.0\n+ *\n+ * Unless required by applicable law or agreed to in writing, software\n+ * distributed under the License is distributed on an \"AS IS\" BASIS,\n+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n+ * See the License for the specific language governing permissions and\n+ * limitations under the License.\n+ */\n+\n+package org.apache.spark.ml.source.libsvm\n+\n+import com.google.common.base.Objects\n+\n+import org.apache.spark.Logging\n+import org.apache.spark.mllib.linalg.VectorUDT\n+import org.apache.spark.mllib.util.MLUtils\n+import org.apache.spark.rdd.RDD\n+import org.apache.spark.sql.types.{StructType, StructField, DoubleType}\n+import org.apache.spark.sql.{Row, SQLContext}\n+import org.apache.spark.sql.sources._\n+\n+/**\n+ * LibSVMRelation provides the DataFrame constructed from LibSVM format data.\n+ * @param path File path of LibSVM format\n+ * @param numFeatures The number of features\n+ * @param vectorType The type of vector. It can be 'sparse' or 'dense'\n+ * @param sqlContext The Spark SQLContext\n+ */\n+private[ml] class LibSVMRelation(val path: String, val numFeatures: Int, val vectorType: String)\n+    (@transient val sqlContext: SQLContext)\n+  extends BaseRelation with TableScan with Logging with Serializable {\n+\n+  override def schema: StructType = StructType(\n+    StructField(\"label\", DoubleType, nullable = false) ::\n+      StructField(\"features\", new VectorUDT(), nullable = false) :: Nil\n+  )\n+\n+  override def buildScan(): RDD[Row] = {\n+    val sc = sqlContext.sparkContext\n+    val baseRdd = MLUtils.loadLibSVMFile(sc, path, numFeatures)\n+\n+    baseRdd.map { pt =>\n+      val features = if (vectorType == \"dense\") pt.features.toDense else pt.features.toSparse\n+      Row(pt.label, features)\n+    }\n+  }\n+\n+  override def hashCode(): Int = {\n+    Objects.hashCode(path, schema)\n+  }\n+\n+  override def equals(other: Any): Boolean = other match {\n+    case that: LibSVMRelation => (this.path == that.path) && this.schema.equals(that.schema)\n+    case _ => false\n+  }\n+\n+}\n+\n+/**\n+ * This is used for creating DataFrame from LibSVM format file.\n+ * The LibSVM file path must be specified to DefaultSource.\n+ */\n+class DefaultSource extends RelationProvider with DataSourceRegister {\n+\n+  override def shortName(): String = \"libsvm\"","path":"mllib/src/main/scala/org/apache/spark/ml/source/libsvm/LibSVMRelation.scala","position":73,"original_position":73,"commit_id":"9ce63c737a31be993edf542dc29b9a2f37e2b067","original_commit_id":"9ce63c737a31be993edf542dc29b9a2f37e2b067","user":{"login":"mengxr","id":829644,"avatar_url":"https://avatars.githubusercontent.com/u/829644?v=3","gravatar_id":"","url":"https://api.github.com/users/mengxr","html_url":"https://github.com/mengxr","followers_url":"https://api.github.com/users/mengxr/followers","following_url":"https://api.github.com/users/mengxr/following{/other_user}","gists_url":"https://api.github.com/users/mengxr/gists{/gist_id}","starred_url":"https://api.github.com/users/mengxr/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/mengxr/subscriptions","organizations_url":"https://api.github.com/users/mengxr/orgs","repos_url":"https://api.github.com/users/mengxr/repos","events_url":"https://api.github.com/users/mengxr/events{/privacy}","received_events_url":"https://api.github.com/users/mengxr/received_events","type":"User","site_admin":false},"body":"add `@Since(\"1.6.0\")`","created_at":"2015-09-08T15:34:22Z","updated_at":"2015-09-08T15:34:22Z","html_url":"https://github.com/apache/spark/pull/8537#discussion_r38940517","pull_request_url":"https://api.github.com/repos/apache/spark/pulls/8537","_links":{"self":{"href":"https://api.github.com/repos/apache/spark/pulls/comments/38940517"},"html":{"href":"https://github.com/apache/spark/pull/8537#discussion_r38940517"},"pull_request":{"href":"https://api.github.com/repos/apache/spark/pulls/8537"}}},"pull_request":{"url":"https://api.github.com/repos/apache/spark/pulls/8537","id":43763259,"html_url":"https://github.com/apache/spark/pull/8537","diff_url":"https://github.com/apache/spark/pull/8537.diff","patch_url":"https://github.com/apache/spark/pull/8537.patch","issue_url":"https://api.github.com/repos/apache/spark/issues/8537","number":8537,"state":"open","locked":false,"title":"[SPARK-10117][MLLIB] Implement SQL data source API for reading LIBSVM data","user":{"login":"Lewuathe","id":1713047,"avatar_url":"https://avatars.githubusercontent.com/u/1713047?v=3","gravatar_id":"","url":"https://api.github.com/users/Lewuathe","html_url":"https://github.com/Lewuathe","followers_url":"https://api.github.com/users/Lewuathe/followers","following_url":"https://api.github.com/users/Lewuathe/following{/other_user}","gists_url":"https://api.github.com/users/Lewuathe/gists{/gist_id}","starred_url":"https://api.github.com/users/Lewuathe/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Lewuathe/subscriptions","organizations_url":"https://api.github.com/users/Lewuathe/orgs","repos_url":"https://api.github.com/users/Lewuathe/repos","events_url":"https://api.github.com/users/Lewuathe/events{/privacy}","received_events_url":"https://api.github.com/users/Lewuathe/received_events","type":"User","site_admin":false},"body":"It is convenient to implement data source API for LIBSVM format to have a better integration with DataFrames and ML pipeline API.\r\n\r\nTwo option is implemented.\r\n* `numFeatures`: Specify the dimension of features vector\r\n* `featuresType`: Specify the type of output vector. `sparse` is default.","created_at":"2015-08-31T13:19:41Z","updated_at":"2015-09-08T15:34:22Z","closed_at":null,"merged_at":null,"merge_commit_sha":"9e2734121b3ece5ea5d97a4d07262c119755d4e2","assignee":null,"milestone":null,"commits_url":"https://api.github.com/repos/apache/spark/pulls/8537/commits","review_comments_url":"https://api.github.com/repos/apache/spark/pulls/8537/comments","review_comment_url":"https://api.github.com/repos/apache/spark/pulls/comments{/number}","comments_url":"https://api.github.com/repos/apache/spark/issues/8537/comments","statuses_url":"https://api.github.com/repos/apache/spark/statuses/9ce63c737a31be993edf542dc29b9a2f37e2b067","head":{"label":"Lewuathe:SPARK-10117","ref":"SPARK-10117","sha":"9ce63c737a31be993edf542dc29b9a2f37e2b067","user":{"login":"Lewuathe","id":1713047,"avatar_url":"https://avatars.githubusercontent.com/u/1713047?v=3","gravatar_id":"","url":"https://api.github.com/users/Lewuathe","html_url":"https://github.com/Lewuathe","followers_url":"https://api.github.com/users/Lewuathe/followers","following_url":"https://api.github.com/users/Lewuathe/following{/other_user}","gists_url":"https://api.github.com/users/Lewuathe/gists{/gist_id}","starred_url":"https://api.github.com/users/Lewuathe/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Lewuathe/subscriptions","organizations_url":"https://api.github.com/users/Lewuathe/orgs","repos_url":"https://api.github.com/users/Lewuathe/repos","events_url":"https://api.github.com/users/Lewuathe/events{/privacy}","received_events_url":"https://api.github.com/users/Lewuathe/received_events","type":"User","site_admin":false},"repo":{"id":26986151,"name":"spark","full_name":"Lewuathe/spark","owner":{"login":"Lewuathe","id":1713047,"avatar_url":"https://avatars.githubusercontent.com/u/1713047?v=3","gravatar_id":"","url":"https://api.github.com/users/Lewuathe","html_url":"https://github.com/Lewuathe","followers_url":"https://api.github.com/users/Lewuathe/followers","following_url":"https://api.github.com/users/Lewuathe/following{/other_user}","gists_url":"https://api.github.com/users/Lewuathe/gists{/gist_id}","starred_url":"https://api.github.com/users/Lewuathe/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Lewuathe/subscriptions","organizations_url":"https://api.github.com/users/Lewuathe/orgs","repos_url":"https://api.github.com/users/Lewuathe/repos","events_url":"https://api.github.com/users/Lewuathe/events{/privacy}","received_events_url":"https://api.github.com/users/Lewuathe/received_events","type":"User","site_admin":false},"private":false,"html_url":"https://github.com/Lewuathe/spark","description":"Mirror 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