---
url: >-
  https://jer-k.github.io/effect-prophet/benchmarks/flat/country-none-flat-2190-batch-32.md
---

# No-calendar control, 2,190 training rows / 32 prediction rows

 [← All flat growth benchmarks](/benchmarks/flat)

The same history and prediction rows as the country scaling cases with no events, isolating each implementation's total calendar cost.

## Input

[`benchmark/inputs/v6/country-scaling-2190-batch-32.json`](https://github.com/jer-k/effect-prophet/blob/main/benchmark/inputs/v6/country-scaling-2190-batch-32.json): 2190 history rows and 32 forecast rows.

## Output

Largest difference: **4.1e-12** (< 0.0001% of the input's range).

Every forecast row from both libraries.

| Date | Effect Prophet | Python Prophet | Difference |
| --- | ---: | ---: | ---: |
| 2025-12-30 | 20.0121 | 20.0121 | 4.1e-12 |
| 2025-12-31 | 20.0121 | 20.0121 | 4.1e-12 |
| 2026-01-01 | 20.0121 | 20.0121 | 4.1e-12 |
| 2026-01-02 | 20.0121 | 20.0121 | 4.1e-12 |
| 2026-01-03 | 20.0121 | 20.0121 | 4.1e-12 |
| 2026-01-04 | 20.0121 | 20.0121 | 4.1e-12 |
| 2026-01-05 | 20.0121 | 20.0121 | 4.1e-12 |
| 2026-01-06 | 20.0121 | 20.0121 | 4.1e-12 |
| 2026-01-07 | 20.0121 | 20.0121 | 4.1e-12 |
| 2026-01-08 | 20.0121 | 20.0121 | 4.1e-12 |
| 2026-01-09 | 20.0121 | 20.0121 | 4.1e-12 |
| 2026-01-10 | 20.0121 | 20.0121 | 4.1e-12 |
| 2026-01-11 | 20.0121 | 20.0121 | 4.1e-12 |
| 2026-01-12 | 20.0121 | 20.0121 | 4.1e-12 |
| 2026-01-13 | 20.0121 | 20.0121 | 4.1e-12 |
| 2026-01-14 | 20.0121 | 20.0121 | 4.1e-12 |
| 2026-01-15 | 20.0121 | 20.0121 | 4.1e-12 |
| 2026-01-16 | 20.0121 | 20.0121 | 4.1e-12 |
| 2026-01-17 | 20.0121 | 20.0121 | 4.1e-12 |
| 2026-01-18 | 20.0121 | 20.0121 | 4.1e-12 |
| 2026-01-19 | 20.0121 | 20.0121 | 4.1e-12 |
| 2026-01-20 | 20.0121 | 20.0121 | 4.1e-12 |
| 2026-01-21 | 20.0121 | 20.0121 | 4.1e-12 |
| 2026-01-22 | 20.0121 | 20.0121 | 4.1e-12 |
| 2026-01-23 | 20.0121 | 20.0121 | 4.1e-12 |
| 2026-01-24 | 20.0121 | 20.0121 | 4.1e-12 |
| 2026-01-25 | 20.0121 | 20.0121 | 4.1e-12 |
| 2026-01-26 | 20.0121 | 20.0121 | 4.1e-12 |
| 2026-01-27 | 20.0121 | 20.0121 | 4.1e-12 |
| 2026-01-28 | 20.0121 | 20.0121 | 4.1e-12 |
| 2026-01-29 | 20.0121 | 20.0121 | 4.1e-12 |
| 2026-01-30 | 20.0121 | 20.0121 | 4.1e-12 |

## Timing

Median of all measured repetitions.

| Step | Effect Prophet | Python Prophet | Effect Prophet is |
| --- | ---: | ---: | --- |
| Fit | 7.56 ms | 15.5 ms | 2.1× faster |
| Predict | 203 µs | 2.65 ms | 13× faster |
| Save model to JSON | 18 µs | 2.33 ms | 1.3e+2× faster |
| Load model from JSON | 105 µs | 4.74 ms | 45× faster |
| Load and predict in a new process | 171 ms | 1.44 s | 8.4× faster |

## Settings

The case declaration both libraries ran.

```json
{
  "kind": "map",
  "comparison": {
    "kind": "equivalent-objective",
    "evidenceId": "country-calendar-public-v1"
  },
  "configuration": {
    "growth": "flat",
    "scaling": "absmax",
    "seasonalityMode": "additive",
    "holidaysMode": "additive",
    "changepoints": {
      "mode": "auto",
      "count": 25,
      "range": 0.8
    },
    "changepointPriorScale": 0.05,
    "seasonalities": [],
    "events": [],
    "regressors": []
  },
  "pythonOptimizer": {
    "algorithm": "Auto",
    "maxIterations": 10000,
    "newtonFallback": true,
    "sigFigs": 12
  }
}
```