ann03-train#39027/v4

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ann03-train[SERVICE-39027]

Tracker:	Services	Priority:	Normal	Status:	New
Submitted by:	sidereusJan 06 2018 10:47	Modified by:	sidereusJan 10 2018 09:47	Type:	Model
Path:	m/train/1.0	Context:	csip-ann	Version:	1.0
Endpoints:	--
Maintainers:	sidereus
Website:	--	Apps:	--
Test Status:	--	Last Tested:	--	Test Count:	--
Test Success Rate:	--	Failed Tests:	--

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Description

Training a NEAT-based ANN

This service trains and validates a neural network after splitting the data set into training and validation.

Procedure

1. Scaling mechanism

Normalized data set from

db-name/normalized

collection is retrieved and split into training and validation. For this step, user is asked to set two parameters in the payload (defaults provided):

training_perc (default 0.9): percentage of training data. Currently no automated procedure is available.
scale_mechanism (default samedistribution): algorithm that actually split training and validation data set

{
    "metainfo": {},
    "parameter": [
        {
            "name": "annName",
            "value": "test_ann"
        },
        {
            "name": "annName_out",
            "value": "test_ann"
        },
        {
            "name": "training_error",
            "value": 0.01
        },
        {
            "name": "max_epochs",
            "value": 50000
        },
        {
            "name": "training_perc",
            "value": 0.8
        },
        {
            "name": "scale_mechanism",
            "value": "SameDistribution"
        },
        {
            "name": "population",
            "value": 3000
        },
        {
            "name": "connection_density",
            "value": 1
        }
    ]
}

{
    "metainfo": {
        "status": "Finished",
        "suid": "ace4ac6f-f5c1-11e7-b48e-1d3102711e59",
        "cloud_node": "10.1.27.11",
        "request_ip": "129.82.23.199",
        "service_url": "http://csip.engr.colostate.edu:8088/csip-ann/m/train/1.0",
        "csip.version": "$version: 2.2.4 3c276d66bde6 2017-12-15 od, built at 2018-01-09 15:35 by jenkins$",
        "tstamp": "2018-01-09 21:49:43",
        "cpu_time": 5540,
        "expiration_date": "2018-01-09 21:50:19"
    },
    "parameter": [
        {
            "name": "annName",
            "value": "test_ann"
        },
        {
            "name": "annName_out",
            "value": "test_ann"
        },
        {
            "name": "training_error",
            "value": 0.01
        },
        {
            "name": "max_epochs",
            "value": 50000
        },
        {
            "name": "training_perc",
            "value": 0.8
        },
        {
            "name": "scale_mechanism",
            "value": "SameDistribution"
        },
        {
            "name": "population",
            "value": 3000
        },
        {
            "name": "connection_density",
            "value": 1
        }
    ],
    "result": [
        {
            "name": "status",
            "value": "ok"
        },
        {
            "name": "exit_reason",
            "value": "threshold_error reached: 0.01"
        }
    ]
}

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