hyperactive.hyperactive_api.Hyperactive.__init__() - Code Metrics - Inspection of "Merge branch 'master' into dev" - SimonBlanke/Hyperactive - Measure and Improve Code Quality continuously with Scrutinizer

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by Simon

created 2020-07-15 12:48 UTC

hyperactive.hyperactive_api.Hyperactive.init() A

↳ Parent: hyperactive.hyperactive_api

Complexity

Conditions

Size

Total Lines	11
Code Lines	10

Duplication

Lines	0
Ratio	0 %

Importance

Changes

Metric	Value
cc	1
eloc	10
nop	7
dl	0
loc	11
rs	9.9
c	0
b	0
f	0

# Author: Simon Blanke
# Email: [email protected]
# License: MIT License

from .general_optimizer import Optimizer


class Hyperactive:
    def __init__(
        self, X, y, random_state=None, verbosity=3, warnings=False, ext_warnings=False,
    ):
        self.X = X
        self.y = y
        self.opt = Optimizer(
            random_state=random_state,
            verbosity=verbosity,
            warnings=warnings,
            ext_warnings=ext_warnings,
            hyperactive=True,
        )

    def add_search(
        self,
        model,
        search_space,
        n_iter=10,
        function_parameter=None,
        optimizer="RandomSearch",
        n_jobs=1,
        init_para=[],
        memory="short",
    ):
        self.opt.add_search(
            objective_function=model,
            search_space=search_space,
            function_parameter={"features": self.X, "target": self.y},
            n_iter=n_iter,
            optimizer=optimizer,
            n_jobs=n_jobs,
            init_para=init_para,
            memory=memory,
        )

    def run(self, max_time=None):
        self.opt.run(max_time=max_time)

        self.position_results = self.opt.position_results
        self.eval_times = self.opt.eval_times
        self.iter_times = self.opt.iter_times
        # self.best_para = self.search.results
        # self.best_score = self.search.results


1			# Author: Simon Blanke
2			# Email: [email protected]
3			# License: MIT License
4
5			from .general_optimizer import Optimizer
6
7
8			class Hyperactive:
9			def __init__(
10			self, X, y, random_state=None, verbosity=3, warnings=False, ext_warnings=False,
11			):
12			self.X = X
13			self.y = y
14			self.opt = Optimizer(
15			random_state=random_state,
16			verbosity=verbosity,
17			warnings=warnings,
18			ext_warnings=ext_warnings,
19			hyperactive=True,
20			)
21
22			def add_search(
23			self,
24			model,
25			search_space,
26			n_iter=10,
27			function_parameter=None,
28			optimizer="RandomSearch",
29			n_jobs=1,
30			init_para=[],
31			memory="short",
32			):
33			self.opt.add_search(
34			objective_function=model,
35			search_space=search_space,
36			function_parameter={"features": self.X, "target": self.y},
37			n_iter=n_iter,
38			optimizer=optimizer,
39			n_jobs=n_jobs,
40			init_para=init_para,
41			memory=memory,
42			)
43
44			def run(self, max_time=None):
45			self.opt.run(max_time=max_time)
46
47			self.position_results = self.opt.position_results
48			self.eval_times = self.opt.eval_times
49			self.iter_times = self.opt.iter_times
50			# self.best_para = self.search.results
51			# self.best_score = self.search.results
52

SimonBlanke / Hyperactive

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hyperactive.hyperactive_api.Hyperactive.__init__() A

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