RacedIncrementalLogitBoost

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This is the RacedIncrementalLogitBoost classifier, as implemented in Weka: http://weka.sourceforge.net/doc.stable/weka/classifiers/meta/RacedIncrementalLogitBoost.html Send your input to the algorithm as a simple Json object, with the following options: mode: One of train/update/load. Use "train" to train a new classifier , use "update" if you have new instances to train an existing updateable classifier, use "load" to load an existing classifier for classifying test data trainUrl: The path to the training data that you uploaded to our Data API testUrl: The path to the test data that you would like to get the labels using this classifier (optional if you would like to use the cross-validation option) modelUrl: The path that you would like to either save the model that is trained or if you would like to load an already trained and saved model cv: The number of cross-validation folds that you would like to use options: A string that contains any options that you would like to specifically set for this classifier (format: param name followed by desired value separated by space: e.g. "-C 5 -t 2"). For options specific to this classifier, please see Wekadocs linked above classIndex: Specify the index of the class values in the test set ( caution: When using a test set, assumes that the class values are at the last index if the classIndex parameter is not specified, so please arrange accordingly)

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1. Type your input

2. See the result

Running algorithm...

3. Use this algorithm

curl -X POST -d '{{input | formatInput:"curl"}}' -H 'Content-Type: application/json' -H 'Authorization: Simple YOUR_API_KEY' https://api.algorithmia.com/v1/algo/weka/RacedIncrementalLogitBoost/0.1.1
View cURL Docs
algo auth
# Enter API Key: YOUR_API_KEY
algo run algo://weka/RacedIncrementalLogitBoost/0.1.1 -d '{{input | formatInput:"cli"}}'
View CLI Docs
import com.algorithmia.*;
import com.algorithmia.algo.*;

String input = "{{input | formatInput:"java"}}";
AlgorithmiaClient client = Algorithmia.client("YOUR_API_KEY");
Algorithm algo = client.algo("algo://weka/RacedIncrementalLogitBoost/0.1.1");
AlgoResponse result = algo.pipeJson(input);
System.out.println(result.asJsonString());
View Java Docs
import com.algorithmia._
import com.algorithmia.algo._

val input = {{input | formatInput:"scala"}}
val client = Algorithmia.client("YOUR_API_KEY")
val algo = client.algo("algo://weka/RacedIncrementalLogitBoost/0.1.1")
val result = algo.pipeJson(input)
System.out.println(result.asJsonString)
View Scala Docs
var input = {{input | formatInput:"javascript"}};
Algorithmia.client("YOUR_API_KEY")
           .algo("algo://weka/RacedIncrementalLogitBoost/0.1.1")
           .pipe(input)
           .then(function(output) {
             console.log(output);
           });
View Javascript Docs
var input = {{input | formatInput:"javascript"}};
Algorithmia.client("YOUR_API_KEY")
           .algo("algo://weka/RacedIncrementalLogitBoost/0.1.1")
           .pipe(input)
           .then(function(response) {
             console.log(response.get());
           });
View NodeJS Docs
import Algorithmia

input = {{input | formatInput:"python"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('weka/RacedIncrementalLogitBoost/0.1.1')
print algo.pipe(input)
View Python Docs
library(algorithmia)

input <- {{input | formatInput:"r"}}
client <- getAlgorithmiaClient("YOUR_API_KEY")
algo <- client$algo("weka/RacedIncrementalLogitBoost/0.1.1")
result <- algo$pipe(input)$result
print(result)
View R Docs
require 'algorithmia'

input = {{input | formatInput:"ruby"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('weka/RacedIncrementalLogitBoost/0.1.1')
puts algo.pipe(input).result
View Ruby Docs
use algorithmia::*;

let input = {{input | formatInput:"rust"}};
let client = Algorithmia::client("YOUR_API_KEY");
let algo = client.algo('weka/RacedIncrementalLogitBoost/0.1.1');
let response = algo.pipe(input);
View Rust Docs
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