The EON Tuner helps you quickly run hyper-parameter sweeps that explore different pre-processing + model architectures optimized for your defined objectives. Clone this project to use the EON Tuner.
Target
Run #8
samd51
500 ms
192 kB
512 kB
Filters
Status
DSP type
Model type
View
Data set
Variant
Sort
General
F1-score
Precision
Recall
Run #8 (Jan 07 2026, 02:26:23, finished)
PERFORMANCE
LATENCY
1 ms of
500 ms
RAM
1 kB of
192 kB
ROM
15 kB of
512 kB
DSP
NN
Unused
TIME-SERIES INPUT
1000 ms
|
50000 ms
|
Enabled
RAW
| Parameter | Value |
|---|---|
| scale-axes | 1 |
| normalizeData | none |
| implementationVersion | 1 |
ACCURACY (OVERALL)
CLASSIFICATION
0.0005 | 30 | 98%
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| dense | 20 | - | - |
| dense | 10 | - | - |
0 1/7/2026, 2:32:44 AM
raw-dense-89f
PERFORMANCE
LATENCY
500 ms
RAM
192 kB
ROM
512 kB
Unused
FEATURES INPUT
RAW
| Parameter | Value |
|---|---|
| scale-axes | 1 |
| normalizeData | none |
| implementationVersion | 1 |
ACCURACY (KERAS)
CLASSIFICATION
0.0005 | 30
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| dense | 20 | - | - |
| dense | 10 | - | - |
0
Training output
Hide
Click 'Run EON Tuner' to begin
