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This is the MILR classifier, as implemented in Weka: 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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This algorithm has permission to call other algorithms which may incur separate royalty and usage costs.

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For additional details on how pricing works, see Algorithmia pricing.

Internet access

This algorithm has Internet access. This is necessary for algorithms that rely on external services, however it also implies that this algorithm is able to send your input data outside of the Algorithmia platform.

Calls other algorithms

This algorithm has permission to call other algorithms. This allows an algorithm to compose sophisticated functionality using other algorithms as building blocks, however it also carries the potential of incurring additional royalty and usage costs from any algorithm that it calls.

To understand more about how algorithm permissions work, see the permissions documentation.

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'
View cURL Docs
algo auth
algo run algo://weka/MILR/0.1.1 -d '{{input | formatInput:"cli"}}'
View CLI Docs
import (
  algorithmia ""

input := {{input | formatInput:"go"}}

var client = algorithmia.NewClient("YOUR_API_KEY", "")
algo, _ := client.Algo("algo://weka/MILR/0.1.1")
resp, _ := algo.Pipe(input)
response := resp.(*algorithmia.AlgoResponse)
View Go 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/MILR/0.1.1");
AlgoResponse result = algo.pipeJson(input);
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/MILR/0.1.1")
val result = algo.pipeJson(input)
View Scala Docs
var input = {{input | formatInput:"javascript"}};
           .then(function(output) {
View Javascript Docs
var input = {{input | formatInput:"javascript"}};
           .then(function(response) {
View NodeJS Docs
import Algorithmia

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

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

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

let input = "{{input | formatInput:"swift"}}";
let client = Algorithmia.client(simpleKey: "YOUR_API_KEY")
let algo = client.algo(algoUri: "weka/MILR/0.1.1") { resp, error in
View Swift Docs
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