Get Prediction using H2O AI for an Iris using the H2OAI PowerShell Module. Associated Blogpost https://blog.darrenjrobinson.com/h2o-ai-powershell-module/

Get Iris Prediction.ps1

# Default H2O AI Server running locally via Start-H2O
$url = "http://localhost:54321/3/{0}"
# Neural net algorithm for determining Iris type 
$modelAlgorithm = 'deeplearning'

# Get Iris Training data and put on the local filesystem
Invoke-RestMethod -Method Get 'https://raw.githubusercontent.com/DarrenCook/h2o/bk/datasets/iris_wheader.csv' | out-file ./iris_wheader.csv 

# Prediction Column
$predictValues = 'class'

# Data to make prediction from stored as a CSV on the local filesystem
@"
sepal_len, sepal_wid, petal_len, petal_wid
5.1,3.5,1.4,0.15
"@ | out-file -encoding ASCII ./iris_predict.csv

# Send to H2O AI and get prediction 
$dataPath = (Get-ChildItem ./iris_predict.csv).DirectoryName

$result = $null 
$result = Get-H2OPrediction -url $url -dataset "$($dataPath)/iris_wheader.csv" -predictData "$($dataPath)/iris_predict.csv" -modelAlgorithm $modelAlgorithm -modelSplit ".85,.15" -predictColumn $predictValues
$result.prediction | Format-Table

<# OUTPUT
label           data
-----           ----
predict         {0}
Iris-setosa     {0.999969054518561}
Iris-versicolor {3.09454814387964E-05}
Iris-virginica  {2.15784441455808E-28}
#>