Commit Graph

3 Commits

Author SHA1 Message Date
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