autogen/flaml/config.py

"""!
 * Copyright (c) 2020-2021 Microsoft Corporation. All rights reserved.
 * Licensed under the MIT License.
"""

N_SPLITS = 5
RANDOM_SEED = 1
SPLIT_RATIO = 0.1
MEM_THRES = 4 * (1024**3)
SMALL_LARGE_THRES = 10000000
MIN_SAMPLE_TRAIN = 10000
CV_HOLDOUT_THRESHOLD = 100000
SAMPLE_MULTIPLY_FACTOR = 4
SEARCH_THREAD_EPS = 1.0
PENALTY = 1e10  # penalty term for constraints
Finish the Multiple Choice Classification (#367) * adding multiple choice * update test cases (hard coded) * merged common code in predict_proba and predict in TransformersEstimator 2022-01-02 20:12:34 -05:00			`"""!`
V0.2.2 (#19) * v0.2.2 separate the HPO part into the module flaml.tune enhanced implementation of FLOW^2, CFO and BlendSearch support parallel tuning using ray tune add support for sample_weight and generic fit arguments enable mlflow logging Co-authored-by: Chi Wang (MSR) <chiw@microsoft.com> Co-authored-by: qingyun-wu <qw2ky@virginia.edu> 2021-02-05 21:41:14 -08:00			`* Copyright (c) 2020-2021 Microsoft Corporation. All rights reserved.`
Issue58 (#59) * iter per learner * code cleanup 2021-04-08 09:29:55 -07:00			`* Licensed under the MIT License.`
Finish the Multiple Choice Classification (#367) * adding multiple choice * update test cases (hard coded) * merged common code in predict_proba and predict in TransformersEstimator 2022-01-02 20:12:34 -05:00			`"""`
V0.2.2 (#19) * v0.2.2 separate the HPO part into the module flaml.tune enhanced implementation of FLOW^2, CFO and BlendSearch support parallel tuning using ray tune add support for sample_weight and generic fit arguments enable mlflow logging Co-authored-by: Chi Wang (MSR) <chiw@microsoft.com> Co-authored-by: qingyun-wu <qw2ky@virginia.edu> 2021-02-05 21:41:14 -08:00
			`N_SPLITS = 5`
			`RANDOM_SEED = 1`
			`SPLIT_RATIO = 0.1`
Class variables, cost_attr, and reproducibility (#587) * test reproducibility * cost_attr, _eps and penalty as instance variables 2022-06-14 00:52:42 -04:00			`MEM_THRES = 4 * (1024**3)`
V0.2.2 (#19) * v0.2.2 separate the HPO part into the module flaml.tune enhanced implementation of FLOW^2, CFO and BlendSearch support parallel tuning using ray tune add support for sample_weight and generic fit arguments enable mlflow logging Co-authored-by: Chi Wang (MSR) <chiw@microsoft.com> Co-authored-by: qingyun-wu <qw2ky@virginia.edu> 2021-02-05 21:41:14 -08:00			`SMALL_LARGE_THRES = 10000000`
			`MIN_SAMPLE_TRAIN = 10000`
			`CV_HOLDOUT_THRESHOLD = 100000`
			`SAMPLE_MULTIPLY_FACTOR = 4`
Class variables, cost_attr, and reproducibility (#587) * test reproducibility * cost_attr, _eps and penalty as instance variables 2022-06-14 00:52:42 -04:00			`SEARCH_THREAD_EPS = 1.0`
			`PENALTY = 1e10 # penalty term for constraints`