weka / EMClusterer / 0.1.3

EMClusterer

Royalty Free

clusterer expectation maximization machine learning weka

Language

Java

Metrics

API Calls - 15 Avg call duration - N/A

Permissions

Run an Example

Input

Output

"\nEM\n==\n\nNumber of clusters selected by cross validation: 6\n\n\n               Cluster\nAttribute            0          1          2          3          4          5\n                (0.21)     (0.21)     (0.44)     (0.08)     (0.05)     (0.02)\n==============================================================================\nMYCT\n  mean            60.96   553.7852   158.6584    33.1938    71.3883       26.5\n  std. dev.     33.3779   371.5261    98.8358     9.5113    48.1706        3.5\n\nMMIN\n  mean        4120.7744   671.4383  1434.4648  9469.1723  4204.9087      16000\n  std. dev.    2170.464   412.1767    854.366  4776.8952  4684.0572   9797.959\n\nMMAX\n  mean       17233.1799  3535.8573  7227.0051 31994.7007 12240.8157      64000\n  std. dev.   6907.5953  2323.2536  4147.6668   205.9254 10110.6541     0.0007\n\nCACH\n  mean          35.2158     1.0416     8.3755    70.5235   142.7769        104\n  std. dev.     19.8113     2.3895     9.8353    32.6668    74.3414     26.533\n\nCHMIN\n  mean           5.8689      0.989     2.4706    17.6617    10.0471         18\n  std. dev.       4.288     0.4532     1.7486    13.9925     5.2983     8.2462\n\nCHMAX\n  mean          18.1243     2.9387    14.5419    38.2333    51.4042        112\n  std. dev.     11.9806     1.8839    16.7982     25.662    42.4063    64.9923\n\nclass\n  mean         123.2677    19.7165    44.3658    351.881   229.0147     961.25\n  std. dev.     52.0216     8.8439    18.0391    92.4968   134.1338   210.3276\n\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/EMClusterer/0.1.3 -d '{
"trainUrl":"data://weka/WekaSampleCollection/cpu.arff",
"modelUrl":"data://.algo/temp/model.txt",
"mode":"train"
}' --timeout 300

CLI Docs