FpGrowth - Algorithm by paranoia

No algorithm description given

Java implementation of the Frequent Pattern Growth ( FP-Growth ) algorithm, which is a scalable method for finding frequent patterns within large datasets. For example, it could be used to find Association Rules and develop collaborative-filtering systems, such as "Other people also bought"... The algorithm takes three arguments: Dataset : path to a local (data://...) dataset, where each line represents a single transaction and each item is separated by whitespace. (See Example file). Support : represents the minimum frequency for a pattern to be recognized. In most cases you'll want to increase this number to reduce the size of the output. MinItems : represents the minimum number of items (per association rule). Having the value of this argument as 1 will return each unique item in the dataset and the number of times they appeared. Most applications would require a number higher than 1. Output : optionally specify a local (data://...) location to which the output JSON should be written. This is required for result sets exceeding 10Mb in size. This algorithm was featured in the Algorithmia Blog Post: "Mining Product Hunt, Part 2: Building a Recommendation Engine".

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

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This algorithm does not require any special permissions.

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

1. Type your input

2. See the result

Running 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/paranoia/FpGrowth/0.2.0

View cURL Docs

algo auth
# Enter API Key: YOUR_API_KEY
algo run algo://paranoia/FpGrowth/0.2.0 -d '{{input | formatInput:"cli"}}'

View CLI Docs

import (
  algorithmia "github.com/algorithmiaio/algorithmia-go"
)

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

var client = algorithmia.NewClient("YOUR_API_KEY", "")
algo, _ := client.Algo("algo://paranoia/FpGrowth/0.2.0")
resp, _ := algo.Pipe(input)
response := resp.(*algorithmia.AlgoResponse)
fmt.Println(response.Result)

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://paranoia/FpGrowth/0.2.0");
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://paranoia/FpGrowth/0.2.0")
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://paranoia/FpGrowth/0.2.0")
           .pipe(input)
           .then(function(output) {
             console.log(output);
           });

View Javascript Docs

using Algorithmia;

var input = "{{input | formatInput:"cs"}}";
var client = new Client("YOUR_API_KEY");
var algorithm = client.algo("algo://paranoia/FpGrowth/0.2.0");
var response = algorithm.pipe<object>(input);
Console.WriteLine(response.result);

View .NET/C# Docs

var input = {{input | formatInput:"javascript"}};
Algorithmia.client("YOUR_API_KEY")
           .algo("algo://paranoia/FpGrowth/0.2.0")
           .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('paranoia/FpGrowth/0.2.0')
print algo.pipe(input)

View Python Docs

library(algorithmia)

input <- {{input | formatInput:"r"}}
client <- getAlgorithmiaClient("YOUR_API_KEY")
algo <- client$algo("paranoia/FpGrowth/0.2.0")
result <- algo$pipe(input)$result
print(result)

View R Docs

require 'algorithmia'

input = {{input | formatInput:"ruby"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('paranoia/FpGrowth/0.2.0')
puts algo.pipe(input).result

View Ruby Docs

use algorithmia::Algorithmia;

let input = {{input | formatInput:"rust"}};
let client = Algorithmia::client("YOUR_API_KEY");
let algo = client.algo("paranoia/FpGrowth/0.2.0");
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: "paranoia/FpGrowth/0.2.0") { resp, error in
  print(resp)
}

View Swift Docs

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