algobench/__init__.py,sha256=3ePyA9eMWt24fBLVoANmpG1JkcEP5ZpQtNz2AlYZoiY,393
algobench/__main__.py,sha256=UcipFHYtc16kCH13OUq_kNP2LRQ0rIjR6Gixb-P014A,265
algobench/api.py,sha256=_aiC8fGptMrTa11nmhdYJBBjhq42-AwyFXVyWVEtrEs,2717
algobench/cli.py,sha256=LjJzfOwu3hGigjB29MR5RKm25zMuR56krlsMpAXsUU8,6613
algobench/exceptions.py,sha256=VL9INt9nvRgzmKpTL7BxOu-YHD4OoSpSIpgyebaqd-o,547
algobench/models.py,sha256=3aPphM2CAYvzrdxsj7kwnE5VC4uEhmJLqfdArdxavIA,3434
algobench/config/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
algobench/config/analysis_criteria.py,sha256=cBwib4JXG_3iq5-tAzSuwyIv7OI4vHJJIVz_7i9bZD0,3072
algobench/config/business.py,sha256=NoHHxvfq_iUblso4RzKokXZcrv5uKWnqC7hEVvm0Ze0,2057
algobench/config/metric_keywords.py,sha256=anKZQzouIDiDWjYf4yG2EAJe6Ch15tMkXadzrfWUA4Q,40703
algobench/config/metrics.py,sha256=_IZBLP2ftPtM6qaHudzxlq_vCzyWz4kLV0XMnAE_VGM,2216
algobench/config/thresholds.py,sha256=Y7-cJKj-dc_oba5RMmoIFA_kAifP4t-ci6tlMWXyTKg,1376
algobench/optimization/__init__.py,sha256=BXT5eSSfZ_ZUAABwHM6aCnBKcxQJLRzPc24p3ZjY6YY,566
algobench/optimization/decision_tree.py,sha256=1AlTr-LElHSGhwvA83ATxaks1h-DvAea27ZB7BMdFsQ,10521
algobench/optimization/feature_importance.py,sha256=3vNHG5cjKLFYDaMZlkOzdtCoFQUvh6epbWcfhoD44Kw,10473
algobench/optimization/knee_point.py,sha256=6NgM5X-vC7dDkqdVfXETivSqUo2Gfs80CJjTkvoRB64,3123
algobench/optimization/response_surface.py,sha256=2RYi6ncR_xf3NuaemG_ouZz3tMqsUFrD6a_4WB1is2A,7404
algobench/parsers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
algobench/parsers/csv_parser.py,sha256=SqfmGsteuLZDBoHne9gMsVjROpm44WKNze1tyWxk188,9237
algobench/stats/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
algobench/stats/core.py,sha256=CcXMwXtK7dstjzZzZca2wESNymY64XY__0zzCu0DA54,8095
algobench/stats/diagnosis.py,sha256=R6SSA2AOz3EujcihnJGp4-zI6HImAtyrGZFMyxDQ9tc,5824
algobench/stats/qvalue.py,sha256=J2aZF5qf6lzU7vdNC9bPybNwxvpAFRtqvPnBwy-c4LE,1160
algobench/stats/sample_processing.py,sha256=JKpzUtRL7QskDPhT8bgtniVYBLBFYXkvPxv8r4O91LQ,5093
algobench/stats/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
algobench/stats/tests/data_type.py,sha256=V0gMPRdmc_BLx1fPRC_YSOg0A1tyDJtlOC7MghTE_DE,2718
algobench/stats/tests/effect_size.py,sha256=omddBo5AT4yCHCUfmEOR4LTFmcTen0ohtUoSvGFlosc,4399
algobench/stats/tests/nonparametric.py,sha256=co9Ov4RR5cKiib9P7gd7xJcpjlokU7G-Y-PhPtxlEHE,4306
algobench/stats/tests/smart.py,sha256=LP2slebvbH8Lmz421ZSz8cioHtcckIPx1CwKuHW0VD0,9741
algobench/stats/tests/t_tests.py,sha256=9L-3SZuUVSeEFaNwhUeu-GiKMupO7B4xFoOWzLb-7d4,4605
algobench/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
algobench/utils/improvement.py,sha256=GAMBYm8tVwkG5Kb_TUW_TK894pct51UMzBkr705ptwU,1916
algobench/utils/math_utils.py,sha256=vnn42mAHGABQFUrAYuCUiwhE1kJ0WRkyzpjAKvLM-FE,3436
algobench/utils/numbers.py,sha256=zj5pY-MgV7nTKXKFYp9GRjBrbb5lGxhFheZuzIwaHlw,1146
algobench_sdk-2.0.12.dist-info/METADATA,sha256=4vU0zyOxwOmB8U3CenDeuycS09e8BJvZS3B9Y6MHnvM,3227
algobench_sdk-2.0.12.dist-info/WHEEL,sha256=K260EYznzXsJYBQGqmI8VTxEdiZYNvDZwW9cBh9-_MA,91
algobench_sdk-2.0.12.dist-info/top_level.txt,sha256=rzasJJxFRSSLtEoFytGMnvCiLp6Su8IW2GynJ9w_bKk,10
algobench_sdk-2.0.12.dist-info/RECORD,,
