amazon ec2 - Deploying H2O-generated POJO to Jetty: /predict returns 404 -
i have generated pojo h2o model.
on separate ec2 instance, want deploy model jetty servelet used api scoring endpoint. how can this?
1. example pojo
here minimal example, demo_glm, predicting titanic passenger survival logistic regression on age, fare class, , sex:
/* licensed under apache license, version 2.0 http://www.apache.org/licenses/license-2.0.html autogenerated h2o @ 2017-09-13t17:30:17.931z 3.13.0.3908 standalone prediction code sample test data glmmodel named demo_glm how download, compile , execute: mkdir tmpdir cd tmpdir curl http://xxx.xx.xx.xxx:54321/3/h2o-genmodel.jar > h2o-genmodel.jar curl http://xxx.xx.xx.xxx:54321/3/models.java/demo_glm > demo_glm.java javac -cp h2o-genmodel.jar -j-xmx2g -j-xx:maxpermsize=128m demo_glm.java (note: try java argument -xx:+printcompilation show runtime jit compiler behavior.) */ import java.util.map; import hex.genmodel.genmodel; import hex.genmodel.annotations.modelpojo; @modelpojo(name="demo_glm", algorithm="glm") public class demo_glm extends genmodel { public hex.modelcategory getmodelcategory() { return hex.modelcategory.binomial; } public boolean issupervised() { return true; } public int nfeatures() { return 3; } public int nclasses() { return 2; } // names of columns used model. public static final string[] names = namesholder_demo_glm.values; // number of output classes included in training data response column. public static final int nclasses = 2; // column domains. last array contains domain of response column. public static final string[][] domains = new string[][] { /* pclass */ demo_glm_colinfo_0.values, /* sex */ demo_glm_colinfo_1.values, /* age */ null, /* survived */ demo_glm_colinfo_3.values }; // prior class distribution public static final double[] prior_class_distrib = null; // class distribution used model building public static final double[] model_class_distrib = null; public demo_glm() { super(names,domains); } public string getuuid() { return long.tostring(-1806915013443955212l); } // pass in data in double[], pre-aligned model's requirements. // jam predictions preds[] array; preds[0] reserved // main prediction (class classifiers or value regression), // , remaining columns hold probability distribution classifiers. public final double[] score0( double[] data, double[] preds ) { final double [] b = beta.values; for(int = 0; < 2; ++i) if(double.isnan(data[i])) data[i] = cat_modes.values[i]; for(int = 0; < 1; ++i) if(double.isnan(data[i + 2])) data[i+2] = num_means.values[i]; double eta = 0.0; for(int = 0; < catoffs.length-1; ++i) if(data[i] != 0) { int ival = (int)data[i] - 1; if(ival != data[i] - 1) throw new illegalargumentexception("categorical value out of range"); ival += catoffs[i]; if(ival < catoffs[i + 1]) eta += b[ival]; } for(int = 2; < b.length-1-1; ++i) eta += b[1+i]*data[i]; eta += b[b.length-1]; // reduce intercept double mu = hex.genmodel.genmodel.glm_logitinv(eta); preds[0] = (mu >= 0.3701702514726391) ? 1 : 0; // threshold given roc preds[1] = 1.0 - mu; // class 0 preds[2] = mu; // class 1 return preds; } public static class beta implements java.io.serializable { public static final double[] values = new double[5]; static { beta_0.fill(values); } static final class beta_0 implements java.io.serializable { static final void fill(double[] sa) { sa[0] = -1.280567936795408; sa[1] = -2.2896567020762353; sa[2] = -2.4978421167555616; sa[3] = -0.034393168117166584; sa[4] = 3.5220688949789816; } } } // imputed numeric values static class num_means implements java.io.serializable { public static final double[] values = new double[1]; static { num_means_0.fill(values); } static final class num_means_0 implements java.io.serializable { static final void fill(double[] sa) { sa[0] = 29.881134512434045; } } } // imputed categorical values. static class cat_modes implements java.io.serializable { public static final int[] values = new int[2]; static { cat_modes_0.fill(values); } static final class cat_modes_0 implements java.io.serializable { static final void fill(int[] sa) { sa[0] = 2; sa[1] = 1; } } } // categorical offsets public static final int[] catoffs = {0,2,3}; } // class representing training column names class namesholder_demo_glm implements java.io.serializable { public static final string[] values = new string[3]; static { namesholder_demo_glm_0.fill(values); } static final class namesholder_demo_glm_0 implements java.io.serializable { static final void fill(string[] sa) { sa[0] = "pclass"; sa[1] = "sex"; sa[2] = "age"; } } } // class representing column pclass class demo_glm_colinfo_0 implements java.io.serializable { public static final string[] values = new string[3]; static { demo_glm_colinfo_0_0.fill(values); } static final class demo_glm_colinfo_0_0 implements java.io.serializable { static final void fill(string[] sa) { sa[0] = "1st"; sa[1] = "2nd"; sa[2] = "3rd"; } } } // class representing column sex class demo_glm_colinfo_1 implements java.io.serializable { public static final string[] values = new string[2]; static { demo_glm_colinfo_1_0.fill(values); } static final class demo_glm_colinfo_1_0 implements java.io.serializable { static final void fill(string[] sa) { sa[0] = "female"; sa[1] = "male"; } } } // class representing column survived class demo_glm_colinfo_3 implements java.io.serializable { public static final string[] values = new string[2]; static { demo_glm_colinfo_3_0.fill(values); } static final class demo_glm_colinfo_3_0 implements java.io.serializable { static final void fill(string[] sa) { sa[0] = "0"; sa[1] = "1"; } } } 2. i've tried far
after installing jetty on separate ec2 instance, follow instructions in comments above:
cd $jetty_home/demo-base/webapps mkdir model_demo cd model_demo curl http://xxx.xx.xx.xxx:54321/3/h2o-genmodel.jar > h2o-genmodel.jar curl http://xxx.xx.xx.xxx:54321/3/models.java/demo_glm > demo_glm.java javac -cp h2o-genmodel.jar -j-xmx2g -j-xx:maxpermsize=128m i can access servelet @ http://xxx.xx.xx.yy:8080/ , see "welcome jetty-9" screen in browser or via curl.
my problem when try:
curl http://xxx.xx.xx.yy:8080/predict?pclass=1st&age=29&sex=female or:
curl http://xxx.xx.xx.yy:8080/model_demo/predict?pclass=1st&age=29&sex=female i get:
http error 404
problem accessing /predict. reason:
not found
here 2 repos can @ see working examples of pojo deployed in jetty:
and mojo deployed in jetty:
with respect specific issue above, need add web.xml file .war file. web.xml app-mojo-servlet repo:
$ cat src/main/webapp/web-inf/web.xml <web-app xmlns="http://java.sun.com/xml/ns/j2ee" xmlns:xsi="http://www.w3.org/2001/xmlschema-instance" xsi:schemalocation="http://java.sun.com/xml/ns/j2ee http://java.sun.com/xml/ns/j2ee/web-app_2_4.xsd" version="2.4"> <servlet> <servlet-name>predict</servlet-name> <servlet-class>ai.h2o.predictservlet</servlet-class> </servlet> <servlet-mapping> <servlet-name>predict</servlet-name> <url-pattern>/predict</url-pattern> </servlet-mapping> </web-app>
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