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}); </script> </div> http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/c013f617/userguide/spark/regression/e2006_df.html ---------------------------------------------------------------------- diff --git a/userguide/spark/regression/e2006_df.html b/userguide/spark/regression/e2006_df.html index 97badf3..b75359b 100644 --- a/userguide/spark/regression/e2006_df.html +++ b/userguide/spark/regression/e2006_df.html @@ -97,7 +97,7 @@ <link rel="shortcut icon" href="../../gitbook/images/favicon.ico" type="image/x-icon"> - <link rel="next" href="../misc/misc.html" /> + <link rel="next" href="e2006_sql.html" /> <link rel="prev" href="../binaryclass/" /> @@ -523,7 +523,7 @@ <b>2.3.</b> - English/Japanese Text Tokenizer + Text Tokenizer </a> @@ -1911,6 +1911,21 @@ </li> + <li class="chapter " data-level="13.2.2" data-path="../binaryclass/a9a_sql.html"> + + <a href="../binaryclass/a9a_sql.html"> + + + <b>13.2.2.</b> + + a9a Tutorial for SQL + + </a> + + + + </li> + </ul> @@ -1947,6 +1962,21 @@ </li> + <li class="chapter " data-level="13.3.2" data-path="e2006_sql.html"> + + <a href="e2006_sql.html"> + + + <b>13.3.2.</b> + + E2006-tfidf regression Tutorial for SQL + + </a> + + + + </li> + </ul> @@ -2132,10 +2162,15 @@ $ wget http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/regression/E2006.test.bz2 </code></pre> <pre><code class="lang-scala">scala> :paste -<span class="hljs-keyword">val</span> trainDf = spark.read.format(<span class="hljs-string">"libsvm"</span>).load(<span class="hljs-string">"E2006.train.bz2"</span>) - .select( +<span class="hljs-keyword">val</span> rawTrainDf = spark.read.format(<span class="hljs-string">"libsvm"</span>).load(<span class="hljs-string">"E2006.train.bz2"</span>) + +<span class="hljs-keyword">val</span> (max, min) = rawTrainDf.select(max($<span class="hljs-string">"label"</span>), min($<span class="hljs-string">"label"</span>)).collect.map { + <span class="hljs-keyword">case</span> <span class="hljs-type">Row</span>(max: <span class="hljs-type">Double</span>, min: <span class="hljs-type">Double</span>) => (max, min) +} + +<span class="hljs-keyword">val</span> trainDf = rawTrainDf.select( <span class="hljs-comment">// `label` must be [0.0, 1.0]</span> - rescale($<span class="hljs-string">"label"</span>, lit(<span class="hljs-number">-7.899578</span>f), lit(<span class="hljs-number">-0.51940954</span>f)).as(<span class="hljs-string">"label"</span>), + rescale($<span class="hljs-string">"label"</span>, lit(min), lit(max).as(<span class="hljs-string">"label"</span>), $<span class="hljs-string">"features"</span> ) @@ -2146,7 +2181,7 @@ root scala> :paste <span class="hljs-keyword">val</span> testDf = spark.read.format(<span class="hljs-string">"libsvm"</span>).load(<span class="hljs-string">"E2006.test.bz2"</span>) - .select(rowid(), rescale($<span class="hljs-string">"label"</span>, lit(<span class="hljs-number">-7.899578</span>f), lit(<span class="hljs-number">-0.51940954</span>f)).as(<span class="hljs-string">"label"</span>), $<span class="hljs-string">"features"</span>) + .select(rowid(), rescale($<span class="hljs-string">"label"</span>, lit(min), lit(max)).as(<span class="hljs-string">"label"</span>), $<span class="hljs-string">"features"</span>) .explode_vector($<span class="hljs-string">"features"</span>) .select($<span class="hljs-string">"rowid"</span>, $<span class="hljs-string">"label"</span>.as(<span class="hljs-string">"target"</span>), $<span class="hljs-string">"feature"</span>, $<span class="hljs-string">"weight"</span>.as(<span class="hljs-string">"value"</span>)) .cache @@ -2244,7 +2279,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda <script> var gitbook = gitbook || []; 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