Commit Graph

5 Commits

Author SHA1 Message Date
Matthias
801ab4acc9 ruff format: optimize 2024-05-13 07:10:25 +02:00
Matthias
225ef6b8ca Update to latest ruff format 2024-03-11 17:50:47 +01:00
Simon Ebner
df033d92ef Improve performance of decimalspace.py
decimalspace.py is heavily used in the hyperoptimization. The following
benchmark code runs an optimization which is taken from optimizing a
real strategy (wtc).
The optimized version takes on my machine approx. 11/12s compared to the
original 32s. Results are equivalent in both cases.

```
import freqtrade.optimize.space
import numpy as np
import skopt
import timeit

def init():
    Decimal = freqtrade.optimize.space.decimalspace.SKDecimal
    Integer = skopt.space.space.Integer
    dimensions = [Decimal(low=-1.0,
        high=1.0,
        decimals=4,
        prior='uniform',
        transform='identity')] * 20

    return skopt.Optimizer(
        dimensions,
        base_estimator="ET",
        acq_optimizer="auto",
        n_initial_points=5,
        acq_optimizer_kwargs={'n_jobs': 96},
        random_state=0,
        model_queue_size=10,
    )

def test():
    opt = init()
    actual = opt.ask(n_points=2)
    expected = [[
        0.7515, -0.4723, -0.6941, -0.7988, 0.0448, 0.8605, -0.108, 0.5399,
        0.763, -0.2948, 0.8345, -0.7683, 0.7077, -0.2478, -0.333, 0.8575,
        0.6108, 0.4514, 0.5982, 0.3506
    ], [
        0.5563, 0.7386, -0.6407, 0.9073, -0.5211, -0.8167, -0.3771,
        -0.0318, 0.2861, 0.1176, 0.0943, -0.6077, -0.9317, -0.5372,
        -0.4934, -0.3637, -0.8035, -0.8627, -0.5399, 0.6036
    ]]

    absdiff = np.max(np.abs(np.asarray(expected) - np.asarray(actual)))
    assert absdiff < 1e-5

def time():
    opt = init()
    print('dt', timeit.timeit("opt.ask(n_points=20)", globals=locals()))

if __name__ == "__main__":
    test()
    time()
```
2021-10-24 18:14:24 +02:00
Matthias
ce870bbcf7 Use 3 decimals for ROI space 2021-04-15 21:38:20 +02:00
Matthias
e820814809 Default-stoploss-hyperopt should use decimal space, nto real 2021-04-14 20:32:34 +02:00