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kartben / artificial_nose Public

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kartben / artificial_nose Public

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Anomaly detection settings

Cluster count

Please provide a valid cluster count (numeric only)

Axes

Select feature axes to include in model training.

Ethyl alcohol Average

Ethyl alcohol Minimum

Ethyl alcohol Maximum

Ethyl alcohol RMS

Ethyl alcohol Stdev

Carbon monoxide Average

Carbon monoxide Minimum

Carbon monoxide Maximum

Carbon monoxide RMS

Carbon monoxide Stdev

Nitrogen dioxide Average

Nitrogen dioxide Minimum

Nitrogen dioxide Maximum

Nitrogen dioxide RMS

Nitrogen dioxide Stdev

Volatile organic compounds Average

Volatile organic compounds Minimum

Volatile organic compounds Maximum

Volatile organic compounds RMS

Volatile organic compounds Stdev

Training output

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Model

By definition there should be as few as possible anomalies in the training dataset, and thus accuracy is not calculated during training. Run Model testing to learn more about the model performance.

Anomaly explorer

X Axis

Y Axis

Test data

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Anomaly score

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Average axis distance

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Target device

Configure your target device for model performance calculations, and to enable target specific optimizations.

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Configure your target device and application budget

Target device

Define your target device requirements to inform model optimizations and performance calculations. No device yet? Use the default settings which you can change at any time.

Target device

Processor type

Processor family

Processor architecture

Clock rate

| MHz

Max

Accelerator

Device ID (optional)

Custom device name (optional)

Application budget

Specify the available RAM and ROM for the model's operation, along with the maximum allowed latency for your specific application. Not sure yet? Start with the defaults and modify them later on.

RAM

| KB

Max

ROM

| KB

Max

Latency

| ms

Max

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