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weka

weka / MultiScheme / 0.1.1

MultiScheme

Royalty Free
classifier hyperparameter optimization machine learning machine learning meta algorithms multi scheme weka
Language
Java
Metrics
API Calls - 5 Avg call duration - N/A
Permissions
This is not a recognized license.
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.
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 .

Run an example

Input
Output
"\nResults\n=======\n\nCorrelation coefficient                 -0.0861\nMean absolute error                     96.0546\nRoot mean squared error                160.775 \nRelative absolute error                100      %\nRoot relative squared error            100      %\nTotal Number of Instances              209     \n"

Install and use

Install

Install the Algorithmia CLI client by running: 

curl -sSLf https://algorithmia.com/install.sh | sh

Then authenticate by running:


          $ algo auth
# When prompted for api endpoint, hit enter
# When prompted for API key, enter your key: YOUR_API_KEY
CLI install docs

Use



    algo run weka/MultiScheme/0.1.1 -d '{
  "trainUrl":"data://weka/WekaSampleCollection/cpu.arff",
  "cv":5,
  "options":"",
  "mode":"train",
  "modelUrl":"data://.algo/temp/model.txt"
}' --timeout 300
CLI docs