process_improve/__init__.py,sha256=CnkfaNAynL_R0Ysq_fblDyhUlol1xP4ToucAS5u1vRc,1308
process_improve/_extras.py,sha256=UV8HZIDyv2z0aIf5AqBsWYNoKXJE7EK0FrfAQSXgCI0,4477
process_improve/_linalg.py,sha256=KS_hkTxrE_IMKEFNx-doSyZ8B0EkzgsY8bMuBvGqmho,3273
process_improve/_random.py,sha256=tyJkTjxoNx4uiLdLyDVFVv_L3SKJb0jBlyNXDh2Tek0,3059
process_improve/_remote_data.py,sha256=TPj5wLnyAscNx2EqS2ADT13nQkEz9abwE6D-AV0Js6Q,5456
process_improve/batch/__init__.py,sha256=-IS7_PA0vYQPIxWkNDP-zO1StD0gK_WOrNKV8k9H1qc,2467
process_improve/batch/_batch_monitor.py,sha256=9TbTNpBc9g3-vUpVA5Dm44lOtyJ6WPqUNEtazeGeno4,14407
process_improve/batch/_batch_pca.py,sha256=qb1Ofo6_v-il5Bg6V1ZE9rVplP7bohIfXNJugo0aumo,26938
process_improve/batch/_batch_plots.py,sha256=iI-JFW5BlFWeC3YPXSop-yILvXPNtGix0AFDdFQiuSY,17877
process_improve/batch/_batch_pls.py,sha256=RQlr02ovXc4Rs8ogRNF81V6b6nsqsaW8lyfdmY5Yg5A,38212
process_improve/batch/_common.py,sha256=QPSrfKZMr0opM19PB_xIEv_wEKQ0W2jI8FvYEHaNyyU,1654
process_improve/batch/_gaps.py,sha256=3hkVWsNXi74uN0NbvHFGrxM6lM1J0wRNLUha2YV6zjo,17759
process_improve/batch/_online.py,sha256=r-aNjb85rH-3WDQet2hqGP0FoKTtdfOKsonDw7UvKkM,10156
process_improve/batch/alignment_helpers.py,sha256=REBa5jfxq3xIeEb4IT4BenQkapBmVeuAQzib4U6n0tQ,21881
process_improve/batch/control.py,sha256=85xyCRWQDm1k7EnzuLhE24JTRbsAc0yepCgObQcScSA,69917
process_improve/batch/data_input.py,sha256=lX9ugal0uhwwf6tc9dAsZUw_Efp4W05BdWHiu9Dq4N8,9749
process_improve/batch/datasets.py,sha256=KJpfQz5LebOx4CJrJtWfIH4J8ux9Nt4jiipcmjFGAOM,16218
process_improve/batch/features.py,sha256=wBoRgCTgrkp4p-nQJwmxkxo681WZfo2sP5h5FKri9Ak,32099
process_improve/batch/plotting.py,sha256=Mn0zFQaST-6wMIq7fC85qZIXGc3lVy9KvEFgjJOGh74,25702
process_improve/batch/preprocessing.py,sha256=jmI7C3fE0qEyKjgvunR2sV7eP94MDt4zy-SKajgdj6A,63425
process_improve/batch/tools.py,sha256=-Ji7RB4I51kzrsJESpyC4NmuTrLDVtji32C9jr6stmM,6896
process_improve/bivariate/__init__.py,sha256=U7SADecVCW8gMJ88vM4mhnFWDKHAL5VyNLIM2EigB3g,222
process_improve/bivariate/_elbow_peak.py,sha256=Q9cGf_ZHRmv_zDuLoqAsZ79SjKoLRloQU_jg9GE1Ck0,5628
process_improve/bivariate/methods.py,sha256=ofcwbtilNYJ_GqdTN7-xfmWlVSWE-7cRIWax_xVvSLU,677
process_improve/bivariate/tools.py,sha256=LSUKlU3hG57D7ST-GaHkWaa5WvOPIMN9GAsWMLNWX-I,3147
process_improve/chemistry/__init__.py,sha256=IoGJ_au00y6ehAoihgI8_tpFNvlA87xOWtZFZqURn1E,1686
process_improve/chemistry/preprocessing.py,sha256=DreSjWytAGZLnofDsLs2JzVAKN8Dh3QguTmIS-Bj17I,31297
process_improve/config.py,sha256=c5jGriJMuGdQKskXdcMj4McLMj121fNdmRsXmS3u1KM,14144
process_improve/datasets/batch/batch-fake-data.csv,sha256=5RS_WmtQdjIpRgoFOxbh7Yrqns1DQ9gQNtx5lwEPSP4,26583
process_improve/datasets/batch/details.txt,sha256=yl-dRetr30JJi8jfDZaThzg9OFJQcxQQq8k1G3zJjr4,3579
process_improve/datasets/batch/dryer.csv,sha256=coItn2qQQjU8skD7jMW9cIPsh0JEqCLrZEGfND0Kx6o,667696
process_improve/datasets/batch/nylon.csv,sha256=FolPbTcpcH6mnuORLovhy7dMAU8ALQdhDKQBdKVDGhg,325044
process_improve/datasets/experiments/boilingpot.csv,sha256=DGdz2DVM7rChJy1g8EBBJvssz3jITm8B-QaJAG0Vxrc,157
process_improve/datasets/experiments/corrosion.csv,sha256=wPkjSVvYC-hobnoh-RblX6XqvmpOAVulkhgkhvNEtAs,391
process_improve/datasets/experiments/golf.csv,sha256=EDGpxw8zL7OZBl_FZs_-DcnsgFWEZ11a4HtGR1Wq3PU,370
process_improve/datasets/experiments/pollutant.csv,sha256=qKGOZBqL53VixpmfRRCk2hoGWpR6lBITxgk8s7WQ_JM,86
process_improve/datasets/experiments/reference_catalogue/NOTICE.md,sha256=ggU6KSKJLsu-8exKpa8kIKJzb_S2kogZWILGJIBn8q8,1569
process_improve/datasets/experiments/reference_catalogue/box-hunter-hunter-1978.json,sha256=3SBIOrV0D_qh-2pa3KDYs3bqX7AuY7Dhv2-Q-08Hf8E,1147515
process_improve/datasets/experiments/reference_catalogue/davies-1956.json,sha256=XYQnVEXVWM3vofXuFEs4_3Id4kMxBkL8vjEh7tBBS4k,480108
process_improve/datasets/experiments/reference_catalogue/efi-mooc-quizzes.json,sha256=qgL2lG4DPL5r4QWH3Gj0btAiGg6uhNAhK1IvlUnQCLE,500550
process_improve/datasets/experiments/reference_catalogue/goos-2025.json,sha256=3VtkgFoW0DUWQYVZmMTUvLus3ILyIvym_GyNGjZfuEY,72917
process_improve/datasets/experiments/reference_catalogue/jones-nachtsheim-2013.json,sha256=uuwpH86xk0_SfiRIeg60G0DWjrou9T61FVtVfY34hXo,152756
process_improve/datasets/experiments/reference_catalogue/montgomery-2013.json,sha256=kpyIClyyF5wiMcQHx3VaxfaNv-dd3k5QQWWTV3JQldw,6875903
process_improve/datasets/experiments/reference_catalogue/nair-ffd-tutorial-2004.json,sha256=CWgsMIkDYFgRoRIXnSwEUSrFyAy_c2PbBzPsHjjanRw,34196
process_improve/datasets/experiments/reference_catalogue/nist-ehandbook-ch5.json,sha256=9jcWFL8Q41CugkRZerHAvtwSbU-AdIfAQU7zQ5hhsvo,2092048
process_improve/datasets/experiments/reference_catalogue/nunez-ares-et-al-2023.json,sha256=Nq5s4FfiZGbFsL_rp1si2XD5Q88YjXl9l1okWJX0W4M,84082
process_improve/datasets/experiments/reference_catalogue/nunez-ares-goos-2019.json,sha256=yG4fNsj4NIE0ktL4g-R_ZLU8rYejZOticLjHpMK-uN4,154706
process_improve/datasets/experiments/reference_catalogue/nunez-ares-goos-2020.json,sha256=Iy7_nCwDL2Jq5nPMJ1un-4wPXsJJJrdoH8E0wRGGCkw,252170
process_improve/datasets/experiments/reference_catalogue/pid-book.json,sha256=8XWo7L2kBA24p1IaFCxK9u5UHwC-BsLp17ao5_VvjMM,1768692
process_improve/datasets/experiments/reference_catalogue/schmidt-launsby-2000.json,sha256=OH1z4saOAVPnqsa-iolTONdh9Lw0nMRxeuHD80E-gOQ,2556861
process_improve/datasets/experiments/reference_catalogue/topics.json,sha256=OW6JhN9ThYQ34ugg2B89Ui3K5tnh10g6Nfrl7sQTkBU,7752
process_improve/datasets/experiments/reference_catalogue/ullmann-doe-2012.json,sha256=uypbaDK3QKw4AjYGHwvYxo0U-qrZPTt1PlxUwQLOvHw,34415
process_improve/datasets/experiments/solar.csv,sha256=IhB6zwJchpYzSyn1w8MG7icpZPgzrB5HiVCx6BJqJ4k,338
process_improve/datasets/experiments/test_doe1.csv,sha256=4h1i0AHdKw4iZRjcDk4wXkrwZpIJifWX8TOtZRZsEzM,1622
process_improve/datasets/monitoring/batch-yield-and-purity.csv,sha256=SdcqC6zsDf9RkPD1may8z4NpoV5N2OoLxxt_NKjXeXg,2353
process_improve/datasets/monitoring/rubber-colour.csv,sha256=min91219TCYfqSmyEntsBMmVbdpeHBU2Sir0DpL6RbY,407
process_improve/datasets/multivariate/LDPE/C.csv,sha256=JjEYkRX26X21sQkilKL_R5sKhhAJ75sM6Cc9Y8Gewz0,317
process_improve/datasets/multivariate/LDPE/Hotellings_T2_A3.csv,sha256=memIPONi6zPZJ6udpRsH0xtgN34NQfx0xjm-2EN0Fnc,498
process_improve/datasets/multivariate/LDPE/Hotellings_T2_A6.csv,sha256=ZJck-jjCic74UHA5mTl7VimW0h_q4TGtifHgJA-FyQQ,483
process_improve/datasets/multivariate/LDPE/LDPE.csv,sha256=SQ6meQMO535EH630LZaagSSN-k2fhzoULf_0VOndwLI,6913
process_improve/datasets/multivariate/LDPE/P.csv,sha256=6Qz4BUGtvr-EAxb80gh7EVIASyqye80T40gMjYW3cN8,891
process_improve/datasets/multivariate/LDPE/R.csv,sha256=M-T6hTIxCg72n3Fm0-E3Vvh0YEHusjjgn30m_R4d4MY,903
process_improve/datasets/multivariate/LDPE/T.csv,sha256=v7D6t1kUBNGaUlUZZ6iQ7yJ4d4Xux5xpRK6C3U0XTjo,3257
process_improve/datasets/multivariate/LDPE/U.csv,sha256=EC9M5il4GZ07f9iGbzqsG_QAGgfW_KGZAGTg04TjqcQ,3232
process_improve/datasets/multivariate/LDPE/W.csv,sha256=-CMU4VMzFO_QiioVQMlyd_uepruWJyO7rgNTODfsYdM,906
process_improve/datasets/multivariate/LDPE/Yhat_A6.csv,sha256=p_xdQZgJ20Jjg6A68rUQGFc49uQzzTTS22kJdj4ughk,2700
process_improve/datasets/multivariate/cheddar-cheese.csv,sha256=5yWMiGO6dq2I5ISUWSvarVYS6dt1ubAtjhPGOUySMCw,780
process_improve/datasets/multivariate/dtu-pectin/NOTICE,sha256=dF49Qp_t7J2x-bCfT8CKKjW_FyCtHdizp5xMBlX3p3I,2831
process_improve/datasets/multivariate/dtu-pectin/extraction1.csv,sha256=YABP5Bk0yxqg6yahP56zV-g2eHomxlZzVhJv4L80QY4,1814
process_improve/datasets/multivariate/dtu-pectin/extraction2.csv,sha256=ixg7b0T67QZKwEoFcpD6ZmejegQobs74f71YasDsxVw,681
process_improve/datasets/multivariate/dtu-pectin/extraction3.csv,sha256=jabb8SdF6LZXUqzIE_5oSXZzYbt6XlkVtusvFPZgnuE,705
process_improve/datasets/multivariate/dtu-pectin/ftir1.csv,sha256=istcr1c9F3q1va_bm3x1tb_rmgTEzlcYjfS31kKFXZw,34036
process_improve/datasets/multivariate/dtu-pectin/ftir2.csv,sha256=tSNPaqauRLBISG_KgKRXAOHCsQHA3LX7pFKJvS2RbZg,11622
process_improve/datasets/multivariate/dtu-pectin/ftir3.csv,sha256=I_D8tsctiSF9BCO9XkhbgpvirV2P2c-3mOxs83ha1Vo,11825
process_improve/datasets/multivariate/kamyr.csv,sha256=5aAsB1o1ZtQRUtyjhx2dcjYn_4YBWYWCF-S2BGVvaOA,6546
process_improve/datasets/multivariate/solvents.csv,sha256=3paF3SZiyGLxkjduBRS4YahlJGYHD50g1P58KnUYWRw,6858
process_improve/datasets/multivariate/tablet-spectra.csv,sha256=qVoq3jbdJTceli_m9m1Xdb14kvXz_9lj2gmog_jkwzs,2394760
process_improve/datasets/multivariate/tpls-pyphi/SOURCE,sha256=SWiQd2RCISLFv3KR7AjhAKSuU9gBy4qG8fEpVDQX4bk,85
process_improve/datasets/multivariate/tpls-pyphi/formulas_Group1.csv,sha256=ivC8Uft_eguXQvEWaYZgLtMc63R9RiHyrEioommptSI,72671
process_improve/datasets/multivariate/tpls-pyphi/formulas_Group2.csv,sha256=OOzUMea7xEsvg3CrGB6cqZvdW_bx75WQDp0hJtJLPJk,4444
process_improve/datasets/multivariate/tpls-pyphi/formulas_Group3.csv,sha256=SrdT-MCqeYHDpzfvthCsgpRmGEGIIrPwzyF0E6XRLNQ,9969
process_improve/datasets/multivariate/tpls-pyphi/formulas_Group4.csv,sha256=F_DpsRtbJjA-zJnpXRYcqJvyGdbGpP6xDcSk0k9Fekg,8750
process_improve/datasets/multivariate/tpls-pyphi/formulas_Group5.csv,sha256=E6kNZtZY5DqiMTtaKGSIHhh36HM7ATdlVGAwDzIEo4I,8401
process_improve/datasets/multivariate/tpls-pyphi/process_conditions.csv,sha256=C0H82zyx2shWAn98GyZrFWe7YZnpdMwYdSDPS-KP0tw,5760
process_improve/datasets/multivariate/tpls-pyphi/properties_Group1.csv,sha256=T4UyFKAFrPQi1Q7Lt32DOxvCtTdKbI_gJOL4hQ2u33g,4960
process_improve/datasets/multivariate/tpls-pyphi/properties_Group2.csv,sha256=z_VOOkJ-dyw9TWkCGeW6_CCn235n4utkVzhUrXpvTIk,351
process_improve/datasets/multivariate/tpls-pyphi/properties_Group3.csv,sha256=_OrkTwqL8p_gwXfyE4ZWVBtXKOGw5lH6YZ3v1xwU9Yc,922
process_improve/datasets/multivariate/tpls-pyphi/properties_Group4.csv,sha256=dDCTX53nIohPpoRQpUCgYvfPgNegADh215W2N3e6v7U,1101
process_improve/datasets/multivariate/tpls-pyphi/properties_Group5.csv,sha256=04GbgU3FeYsikA5Kqr5G4pH0Uqzfvez15pLEDGPmT0w,412
process_improve/datasets/multivariate/tpls-pyphi/quality_indicators.csv,sha256=EFCNsv5yfiCMJsmZRxnU0B4kka1er6ZO6OJPmfdEc9Y,9854
process_improve/experiments/__init__.py,sha256=8BhpxE_UNoA_7f0tcwPdcip3L-kqnDyWUJshpNbUF3k,4442
process_improve/experiments/_analyses/__init__.py,sha256=x3CXmEoPDS3RopuSd418hgHZEqME9D0aJORMvbr0Ebg,481
process_improve/experiments/_analyses/_shared.py,sha256=8SQJMHbPVxhHZZ5C449M_CWdhlCHmXdrRQC-JWIkGAs,2055
process_improve/experiments/_analyses/aliasing.py,sha256=03JqJ4tUSG-U2oh_UohjlIowbeKMQQqKNW_TUWUxhv4,7262
process_improve/experiments/_analyses/box_cox.py,sha256=Fua_wrKamq9b_PYND-ttgLPI-dHY1Jdl1FBEMb5xVw4,5945
process_improve/experiments/_analyses/curvature.py,sha256=9ttgkp9aYiRbISYm8ZxRDILyV4uJo2a_KcfVy_15stg,3717
process_improve/experiments/_analyses/diagnostics.py,sha256=Ppgh7AVdg61QLqi8APWO4vo9nrAfs1WYJGW75oDbDu4,4435
process_improve/experiments/_analyses/glm.py,sha256=Jdrzkfzyg7Ku8oExaxYwzGV6iMcEUvkw9BTZLicLzbU,15551
process_improve/experiments/_analyses/lack_of_fit.py,sha256=p4XrOt9iuWYkXJKNYJwBQbFd-7m3OTv5tOiEllQ3IN8,3811
process_improve/experiments/_analyses/lenth.py,sha256=7AnDGRTcMBEksQFc0P2swt_Jvu_R7VWfiEnrkcBsr2Y,2746
process_improve/experiments/_analyses/mixture.py,sha256=amPFLopVvMSgteG4JN8SuLlHWLZQGTslvB7kQwFmMJc,8376
process_improve/experiments/_analyses/model_selection.py,sha256=rxWJH7TaB6qPOm7PWxiBy2HU4t3sVEt_Rl6Opiqqjj0,9119
process_improve/experiments/_analyses/ols_extractors.py,sha256=61IYmI7zApu3wGhiypLRq29zE6d4mmFly-1mKlG4IHI,9093
process_improve/experiments/_analyses/prediction.py,sha256=0UOo2aoBFoFySJ4674OjfODAYkImxcrci3n-aaGJw4M,3631
process_improve/experiments/_analyses/split_plot.py,sha256=m5LwTIprXLphrFA3wam3aB57njDU4khO8T110xtDLrQ,17828
process_improve/experiments/_analyses/transforms.py,sha256=8cNfDOXDmIQQ5QK3WelGcxaRhzhNptLCWWKeozMc0Iw,3773
process_improve/experiments/_blocking.py,sha256=hIxJ4ybVrvSnPwIJ_PQbF5G1I6bFhfUZQGJY5HdNTu4,14181
process_improve/experiments/_classical.py,sha256=JJ9iIkxU-QSlUr9kCFbrKmM8g0q1MUMOdAFWS7oxX1g,8995
process_improve/experiments/_desirability.py,sha256=it35CY326DZjBzarLNePL7OQWKRK6vlWoYK0NFsDIgk,9968
process_improve/experiments/_finite_fields.py,sha256=RYhQp0st4mz-1InJ83XR7rFQt8X6n8twVXyNc03jJak,9842
process_improve/experiments/_lm.py,sha256=0RNjBtg0h4XDhUq7pAH0eXgRDlh_EiRkRqB-Y7fPbAg,27189
process_improve/experiments/_moment_aberration.py,sha256=yofTmcMC6MQJmtF1_wPd9UuDN6CVHBcT_B-UMfVzSI8,15228
process_improve/experiments/_orthogonal_arrays.py,sha256=pH7fxNUUA2owu9zPESJhpFYg4zSZx0KPwc9figGvW2U,16897
process_improve/experiments/_region_geometry.py,sha256=GY2NAq52Yk1ReHyqc_qJQmIVmr1c9QI3BF-2NOg1ZuU,20009
process_improve/experiments/_tools/__init__.py,sha256=wMzZz_asWVNqo7mjZINI4MEX12fV6VqCfWRVg8Wz8yA,1625
process_improve/experiments/_tools/analyze_experiment.py,sha256=eRSVp8y2lRwDCgDclBYst2xGwFDW01DhrO3uCVe7fEs,9415
process_improve/experiments/_tools/augment_design.py,sha256=r4e8NexHnL1DZDbMsWAHpwDa7UDyLEKlpap3j93uOEk,5920
process_improve/experiments/_tools/create_factorial_design.py,sha256=gX2Ki54SEy9GcGhtHboINxTbl_viEGwWr_FNsEC98uo,3447
process_improve/experiments/_tools/doe_knowledge.py,sha256=sEgGVwTnFZ_kYBkkxyn-7bUz5Sk5YabuiIDpMn4iOR4,3139
process_improve/experiments/_tools/evaluate_design.py,sha256=-7OM8v2h5CRlnD9l-EY-XIe_YuxSh6I19XK8i7ysXYA,6549
process_improve/experiments/_tools/fit_linear_model.py,sha256=9DDryeUD57C7GD6o7lPGgbWEJNvcXfpwunZe0NimIzM,4686
process_improve/experiments/_tools/generate_design.py,sha256=Jtr03UKilkRU_I_HMSR2VFesLCWGy2E0KE2NmTF4dk4,10767
process_improve/experiments/_tools/optimize_responses.py,sha256=CYnj1PiwEsIDqHFXvrtolY7J9gRPaanqeSGP7ygnXAo,11475
process_improve/experiments/_tools/recommend_strategy.py,sha256=sZX7mqdz34CtITGEOuhfCXcmLPvigdA0qNdudt8nSIc,4986
process_improve/experiments/_tools/search_design_catalog.py,sha256=wIgNhuWqlqivw-uA-WklxBB1KNSeKpJbIWZPqIwzbhc,7101
process_improve/experiments/_tools/trade_off_table.py,sha256=jkdVIRcg0yQWVh7jWJcAApnBuE5tLHLS-U3AoOyqOl4,6144
process_improve/experiments/_tools/visualize_doe.py,sha256=UfcTJvtdud3Iys3jCmCmYQQAQzp95GcnaM_WI8ka6Ww,4835
process_improve/experiments/_uniform_sampling.py,sha256=Ec6n1vXfzWdaQNYMqxUlRYSxyshOjk-gUtNtM8vVWsw,14850
process_improve/experiments/allocation.py,sha256=I0ELAB92dywzuisQj-QUlS_-1fm2KrdG2PWj1HzIcoI,3151
process_improve/experiments/analysis.py,sha256=7VwMuc_aHz5HxBoYGsRoyXMIaWbZ2ErDdOWwcewBZbs,59216
process_improve/experiments/augment.py,sha256=pWDQoKUVpX-ObP3q7QYDL7FY3eayveHWFM-QrttQ198,41047
process_improve/experiments/compare.py,sha256=HOoxYKsP4Enc6KbZ9w4nN32YxJkHFrFaC5SmFdH-Jv0,49596
process_improve/experiments/datasets.py,sha256=r7nMHdAZZlrPjCmzOVqj0x3xE4xbJb-W1yMvu6cGFGw,10566
process_improve/experiments/design_catalog.py,sha256=bhCr8p_afn0JPpOkCOlLYK6_eRiyF8TsjH-O7DCOKV4,64335
process_improve/experiments/design_measures.py,sha256=QooLebtv1UxQeUj9Krn2YVK6s_vwGhV06gcbhMhTK3I,29203
process_improve/experiments/designs.py,sha256=Yp22W7M3wutQfyhT1j6nz7bUMwz3fTPpdPGvoGAbkK4,47396
process_improve/experiments/designs_constrained.py,sha256=dHcdDUPusQfeoE1L1NUBaNVzNHjwcfFjvk7Rf7aPTOY,97666
process_improve/experiments/designs_factorial.py,sha256=LMHfpjI84_TWndldoE-X3u2-H6E98JJt1b8RjlYN1xk,2069
process_improve/experiments/designs_mixture.py,sha256=QP9FfzR7BxXRL7PQErW706w9hIj230q_duDIekX3-4E,8474
process_improve/experiments/designs_mixture_constrained.py,sha256=O_xDrDPWREJ7eILTMy38FTd2ihsDKnUiKk6KgAvAKvk,24449
process_improve/experiments/designs_omars.py,sha256=PNTJjqv0CPtJ1MtqsZqJup6FqcAFjsderFeC_OAhkGk,11238
process_improve/experiments/designs_omars_ilp.py,sha256=cCHkih9Xxz6k4VJsCqfJilrfCYydW5ODjeEef_yKtUU,111025
process_improve/experiments/designs_optimal.py,sha256=0Y5PVO50KpBSVB4hrZnBE-Iw8hFOcQyBjxOz_s9JP_4,34850
process_improve/experiments/designs_response_surface.py,sha256=inZPpO9x8kPq84xWbqT96tPypE8KF8TqdKSx28_GU74,29626
process_improve/experiments/designs_screening.py,sha256=v5Rx9Cc_hkryJhnNxs2AFMkltvPxvAdFgifIzC6rKcg,27498
process_improve/experiments/designs_space_filling.py,sha256=Gg_iygC7Xq6zNAgr7d7YKk4-crBnKN4Rbk4pvGuQGBM,18484
process_improve/experiments/designs_supersaturated.py,sha256=gGkgkdyr_xEAMvNKwmQ7j0GRudcTRUxibRYUDqkuBUU,12691
process_improve/experiments/designs_utils.py,sha256=19dcpGB6KYz4mJTkUYr6bs7rvYMU6y6ygN9dXqTGFfI,21496
process_improve/experiments/evaluate.py,sha256=BUEZTrokLhGI5TVg4AbB4bqDk5CqJuSE7xn-fHCYuXE,86035
process_improve/experiments/factor.py,sha256=cLtcMHeyFwLhAEucsHh-u00s6IqTZMOHEwXmEYJIDDo,13018
process_improve/experiments/knowledge/__init__.py,sha256=CcmW8USH79diqZ5SymKybLLfO-rETKg7QIx-GzPlEUk,893
process_improve/experiments/knowledge/api.py,sha256=ecnm1-h_LV8XPrW7WmV-0fF6HlonQ9AAOE2BGQ2QmBM,4451
process_improve/experiments/knowledge/data/concepts.yaml,sha256=DuPTbNqGw2zvln6xGjlNCANA2CM1jlsDDIexpTNY7cU,10234
process_improve/experiments/knowledge/data/decision_rules.yaml,sha256=COCcsa38Dw8MFKOWZOfuj1PePqv8YcEaRQ3xFAwV_0A,9010
process_improve/experiments/knowledge/data/design_types.yaml,sha256=O4OsrHOLFwQ9SKI_Vi8Tz0n9p1jzIohH3ffBaQ3lNA4,17716
process_improve/experiments/knowledge/data/diagnostics.yaml,sha256=xzMBVT6NGoiQkPfZyZ8pfqw8YbgEbSnJXHiEDwY40DE,5628
process_improve/experiments/knowledge/engine.py,sha256=Ox-t_O8Gh1pvdE_309NMx-a8OjVLlHHPCMJLHvh7bLM,20228
process_improve/experiments/knowledge/models.py,sha256=Abdf03NfV8zkCSTcNdqtPsF92mnURjKM5S2yBhU-MEY,2975
process_improve/experiments/least_squares_means.py,sha256=4SFqguSYBKuCUbyfdziOzIfPp-w85iNy--lsFLBmGB4,14800
process_improve/experiments/marginal_means.py,sha256=wljsXTI61DlSLkvsp0SVn307IZiaKfVqxAnOHIrXg2Y,5652
process_improve/experiments/models.py,sha256=eFdvlHsgnUNuszXHd5Cl9A_y-6teF9JZ6Gmom0z1N7Q,836
process_improve/experiments/multistratum.py,sha256=OUnK-T89NNXziEs2c7E9CzdmaApsOhJuT8dS-D0d0sI,8830
process_improve/experiments/omars.py,sha256=IkPMUoTXNAQcEXpPfcZ4BF2G1lzgDPjrHnCJCp5jKYA,25762
process_improve/experiments/omars_trade_off.py,sha256=B4G1TW_biISakzMoy3czUtspJ9W0h5S8Pb4WH_nHiv0,25200
process_improve/experiments/optimal.py,sha256=BGxMvFz5y4Qc58fDChKZ9ykWQ7zm8ja4qH4md0yvl6Q,11419
process_improve/experiments/optimization.py,sha256=nQW4MbLyCjqyKopWk80cOlCuVaRe9UhyPX0IfcSgfyo,88171
process_improve/experiments/projections.py,sha256=RwufdDGdsGp0brZmfF6AO2HnruQOdxohRIR74FNOlYo,10167
process_improve/experiments/random_effects.py,sha256=ccM3NG9yLZWUmMLz5jRsm6uCQSiakTv-Q8owtByxJns,19865
process_improve/experiments/reference_catalogue.py,sha256=JSscmCRBxYi79mVZAafZ50PG7khfArLuB-xJozNa-DY,170813
process_improve/experiments/region.py,sha256=iH7EH_Jn4AC8MLIW9VK-d3W4R26wkorQynR6nnEJlWY,62263
process_improve/experiments/run_order.py,sha256=ACa0bYPm_-rlSLgsCDc3NJruB1POY_na8MkWlhrwK5k,15797
process_improve/experiments/separating.py,sha256=XsV7xBTX-smBdEzV12ylAtE-ObfZEsAXdJ7GWMyQcIs,37711
process_improve/experiments/simulations.py,sha256=y0jj53IqlYscNrAt0HZofwDwKObQDRE9GBjnt5WfvuU,9470
process_improve/experiments/strategy/__init__.py,sha256=aeT7ztrJ1twgBOzswfQ0vlXZn2Hiuh_pCCGn6qY4MW8,731
process_improve/experiments/strategy/budget.py,sha256=kKHzTZY6eySLQcugFOZnRmFWqR5WMHYOrBjQYdnpImk,11156
process_improve/experiments/strategy/domain_templates.py,sha256=Xele2z7S5-EcF81xy0THUap1PpykbDq-lkIzOHF3N7s,13012
process_improve/experiments/strategy/engine.py,sha256=1A_hD2smq2D7m0n4m24JxSqhVQicCuNKH5pfHn9HmO4,50508
process_improve/experiments/strategy/models.py,sha256=HOulmS-sFEPw0EX7zfmnxRcLZ9FQglp5o6Srz__72wk,9258
process_improve/experiments/structures.py,sha256=We557EYB-zaBWI_w0DjU34mqfSiexRXN31vJMW9AOuc,21065
process_improve/experiments/tools.py,sha256=4tNze_6y4YuxJ6qaNb2euot3BVws-L3Gmc3UByihOLY,2848
process_improve/experiments/trade_off.py,sha256=X5oHfVAylmCNusoNXGTJ0Sk-5c5c-FS-JBGoRbA-XmE,17729
process_improve/experiments/true_process.py,sha256=0eVM8M_xMMWEayVBhHRUq-wqyCjWC1j620IjE-cpQqY,9096
process_improve/experiments/visualization/__init__.py,sha256=y9U9E1OJuOBVq0CIdsq3rqo-pLhpQbMy5e9CDgu5A7E,1099
process_improve/experiments/visualization/api.py,sha256=6FuBXRMk88emSXWYIfI7PTYarbpzVc8oSsVWv8_Z77g,8541
process_improve/experiments/visualization/plots/__init__.py,sha256=oJeEo3qfNa_EEynMXe2NOV6rSg3AuqqbN5Wfk9eP6QM,551
process_improve/experiments/visualization/plots/cube_plot.py,sha256=EuAKsXqdyIpNLb2PBPbuv0ZvFFTKIn2W9fwKLvu2-94,5926
process_improve/experiments/visualization/plots/design_quality.py,sha256=PhjgzLNeUjABW9GzH0-qVN_5DXPKl2aI7s48_O28oks,17466
process_improve/experiments/visualization/plots/diagnostics.py,sha256=HF7EXfdEru_8p9Un6HSeFC5Jbn3CebM7XOgIIYCYjYg,13600
process_improve/experiments/visualization/plots/effects.py,sha256=Km03YE_UdcTIyfOPTSpnAPXU-LStf5dijKeSC4Db0hk,11151
process_improve/experiments/visualization/plots/optimization_plots.py,sha256=2tySPjg4tLCgunDsZEHi-mIPkjY56E_JfFxnntN-geU,27129
process_improve/experiments/visualization/plots/registry.py,sha256=UHYwalY8GsM3iU0jzaZa9rybEzpDNk2el7zukJO9F9E,11705
process_improve/experiments/visualization/plots/significance.py,sha256=F0z74SCxCa8icjK6upzLh210ZKpJ2CdGkVBcKvgaEpE,16387
process_improve/experiments/visualization/plots/square_plot.py,sha256=wmC8d6NQsoeTy16MUZ2mMD4a__mUaf9SeT2Ef3lL4EM,5007
process_improve/experiments/visualization/plots/surfaces.py,sha256=yhI52dtgIkrnokT9ermOdsXcQ0c7OvYbBhvqy3JNy44,23758
process_improve/interactions.py,sha256=L40hnKlFGk-hXYOOx7iEMkIAhOE1Z6D_GcTvrBqeLtM,16076
process_improve/mcp_server.py,sha256=4a3O3k3eOmOUkWyAR2TaxCflQ-J0KQRAlSiMWSeAlrM,6939
process_improve/monitoring/__init__.py,sha256=Pe40bTVn5pdZjlC9KmPY8Kckivn3EHy5mP9PFu6To9M,250
process_improve/monitoring/control_charts.py,sha256=nhdNn7UD0laLDqxVKxQ5ho-gi5dlIkyIeY4_HRaHxYY,42440
process_improve/monitoring/metrics.py,sha256=sFy6npoBTQnEhgetKp_6ErYj7fK3fhdO48b2hSMLw8M,7094
process_improve/monitoring/tools.py,sha256=3czurr7venYSkH1nXUMkk5u5ngkZxp7EnDywAKQLzh0,10608
process_improve/multivariate/__init__.py,sha256=LL7uvlBw7TEKyuzpbjfSfGzZiiucyCXh9oza1pTt5FQ,1956
process_improve/multivariate/_adaptive.py,sha256=NeFmMUbEBsQHlaeiro9CDwNEpestmIkMHjEReGTAdEQ,59452
process_improve/multivariate/_asca.py,sha256=zQGsarGMm5HTVSH4XQk3tgrqEkj9wn9ApkkIrh6kPxI,25961
process_improve/multivariate/_base.py,sha256=f3qkTRpqexoemPskUEiaPNDy3b9z0T3kjWHLLhvvYFs,9592
process_improve/multivariate/_categorical.py,sha256=4hNL4yY1lCDDQpaDtUtB_SUFSinfolJ6nHPLz7DtaQA,53202
process_improve/multivariate/_common.py,sha256=bRhV5WOXzOmBQSsrD50UaDOxZbMAx2USbgOFBY8p8kA,33835
process_improve/multivariate/_cv_criteria.py,sha256=GM5aKa-p6I6Va42r96w0Dzgbd3P_wN222pYYfVPIkYM,48461
process_improve/multivariate/_diagnostics.py,sha256=iEkivuyi-rsY6f7vCb-aWCd28Nw7k7E5AgyOfnU37o8,68807
process_improve/multivariate/_impute.py,sha256=GRREHMztbzKnmfrjkz-ylaIpbAJ24Xk0jKpNeaqBG2g,9896
process_improve/multivariate/_limits.py,sha256=kU2Nn0amF7vLfx2XEt2PgKnugVameHwYcHh81SiIL_g,14047
process_improve/multivariate/_mbpca.py,sha256=y9mOx-zzBqcysQYmntuzhnwPoaFZvZOr662BkQP9Qcc,45447
process_improve/multivariate/_mbpls.py,sha256=a53bt38pF0YVOM8bLGMbyNABfrBSIitw7fcBeOYdLZw,76187
process_improve/multivariate/_nipals.py,sha256=g_KIk7oUQrneLRnMVGzt7CyW9kxUNIYKzslCgIZg1cE,18031
process_improve/multivariate/_null.py,sha256=hK77T8mGwFm17TVx_8o63r_xqog-KofQcs8f19tiBAI,22378
process_improve/multivariate/_opls.py,sha256=zGwJ9ao8GKod-2K4AcadF354zzUhIMImG27NDW76vow,20086
process_improve/multivariate/_pca.py,sha256=mhx05tO5dga90XegJqQb5tHBLTF4LbfR3raC_vWfyPU,111278
process_improve/multivariate/_pca_pls.py,sha256=xpneQE3xd2CO1oD9ia_ige6XLabzIlO7HeWvHMHx0qA,1155
process_improve/multivariate/_pls.py,sha256=TP8JopbhpNn0q9XUJgUxTwE-_IXK-xU7D8aPVSvajXI,152528
process_improve/multivariate/_plsda.py,sha256=kCH8uJwbtnkIGVQIyKJjgaZdIbQfPfQDDIsCehu3kKM,35759
process_improve/multivariate/_preprocessing.py,sha256=9I6Tzs6eO-eQAlnAJJ9RLgomO0PQdI1xtyRgmyPmIiA,26554
process_improve/multivariate/_prm.py,sha256=raceiDOgFGcZRn1xOXSXbbwGClLOJGDRqCaES5ZytqU,18043
process_improve/multivariate/_procrustes.py,sha256=V1GutUcJNefG1i_99f4ltuYSs3arnVwCrxVWjxrfPOE,23762
process_improve/multivariate/_projection.py,sha256=OqSlxfgbk8yO6TXQyqkOWzGHkkKSqdbbZsxh3NseAvw,16530
process_improve/multivariate/_resampling.py,sha256=MkccsMWyu5t4T2uLdrbNWE6shJ6kZxIxqZr_tf-HJkw,10460
process_improve/multivariate/_robust.py,sha256=XKdQOVCh_yUGba4NZF6plaeG7NRmbyM5CoBZO3yv2gY,5608
process_improve/multivariate/_tpls.py,sha256=j-jhLXOKGYcg5Of2wMmXEllzHnfNf3hsbUyg4ot05iw,94034
process_improve/multivariate/methods.py,sha256=jVuofupuAkM8dw053MptpHE4jVDqhgzwcwRpRxhyeJk,4140
process_improve/multivariate/plots.py,sha256=nTjtdq9WKIiQmVDMQivu7rczJ_lrAdjVnnuKhvK6FJc,80952
process_improve/multivariate/tools.py,sha256=kvTqdF5IzuEwmCZvSvYpoyqnKnADqaWTxonXTAoJdm8,24924
process_improve/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
process_improve/recipes.py,sha256=DE2ievtNsBmYwq2O8m8Dh0wL1tNMbCaW9ME5M0Hg2zk,10093
process_improve/regression/__init__.py,sha256=M6sMizXAqWVWhKNgDNEmvO--RN1QysLb8rWKOH4q_dY,330
process_improve/regression/_robust_regression.py,sha256=cNyXPOOBTvReHN9n9kSJu82oGnQOVFZVZa4iASIi1z4,45043
process_improve/regression/_variance_components.py,sha256=Hr-mkM4oMEz1gXZVDZHhp3n8q12UNGkognhrcWBdjVo,18429
process_improve/regression/methods.py,sha256=-LIojsFcLXr7WwSEG-60gimPy8zU1SVxkFJjZwNgm04,814
process_improve/regression/tools.py,sha256=fraWxvlSjkpXFYmTz_C4krtMakDUP6ObD-ZY0us9ztQ,6505
process_improve/sensory/__init__.py,sha256=TaB51rRrieARo1-kcZVUzWAPzDxhD5xQeCAbA3P0rb0,2540
process_improve/sensory/analysis.py,sha256=SfXx4ZrzRIQ3rxYzArTsDZ3DM7P2NcIIIGCTfyfgUpo,40705
process_improve/sensory/designed.py,sha256=w3L4DeiUDXLItvz0CiuItbgY2oJ19R7oB3bMzpEQHsI,21942
process_improve/sensory/diagnostics.py,sha256=kzYvdu8O7TcHbG2aOIZmLmU5c539To-JTyyf6x3eFPE,14875
process_improve/sensory/ingest.py,sha256=0U8WyITk9gUXYMNfQNAfGS2we93ZykIWGaNJILA9TA8,13613
process_improve/sensory/mam.py,sha256=RxCExXh52m0KVku3zvZuXQs_tjYAGNPz_PF08b_FS7k,29371
process_improve/sensory/panel.py,sha256=QULTYNPu1xys2wSsXmOGlHJ7ZZ64VXJBLvC0mPOPQ3Y,8299
process_improve/sensory/recipes.py,sha256=p2S_ZfTBs1yCDk1GG4Jf9W53mq2iDZxLelCbPzknVXQ,14467
process_improve/sensory/tools.py,sha256=rFW6Ay3bN8ce5inI7HEnxNd_46v2wnoi00T-nUhgd9A,18706
process_improve/sensory/validation.py,sha256=ZOpOOPPUDMs2yEUicFtdV7D_0veKcCuV8x2r-3G24j8,13747
process_improve/simulation/__init__.py,sha256=wK0AFjZHDcqPZyH3bM2QfOg2sWck7DioymxM4chN2Fk,1980
process_improve/simulation/batch.py,sha256=1dp1U_9IOKB1vYY0fjJxI52I0J6JMcLUnde2BjzVb10,77409
process_improve/simulation/context.py,sha256=8RMSrhxd6rrSS30BziyzQs8ZssJ62PX0gylc8CoK8l4,4269
process_improve/simulation/latent.py,sha256=xjQHhi1uxFUHWPSEDKCxiMFTT98KLto4m9OfKoVxzck,10595
process_improve/simulation/model.py,sha256=fF3_Q0yW-Cinpe6hZPX63ZXElmsKLHRaJfzAN0es9jE,17292
process_improve/simulation/recipes.py,sha256=mbrcLGqehrdVgXSLx4wRNoPH-XK5y0_UgwSHRH9N5Pk,7302
process_improve/simulation/tools.py,sha256=GuNwJZ1jxjb944LkSEjhThQHXj-iYWinhJen9-LDF9s,37067
process_improve/tool_safety.py,sha256=HcCT-l-T3kyxBw1UbqgQcRJpTJgd8ulydAro_QfF4uE,22401
process_improve/tool_spec.py,sha256=bTPnonU7rCLHCdDZza5BI7DkpS7V5iCPT3v2jeLU_Hk,15270
process_improve/univariate/__init__.py,sha256=CZwXB9ZK-nqHdzK7tE4meWEz9aB1CyELTD62l0pmPfg,2032
process_improve/univariate/classical.py,sha256=wUZgFqZvdGPU96Z0hiGoxWZ74Kc_SyP0kcWu7_weIIM,15764
process_improve/univariate/metrics.py,sha256=vRzOU8uxfVexK65r4UZpfc7Gz61nkQJesn9IKnL86Lg,58667
process_improve/univariate/tools.py,sha256=0r04cc146TzPPR4iONf4G4-UCdbzDVTcyXgMs5HPRp8,27081
process_improve/visualization/__init__.py,sha256=9TPDaO4BQU10AW1aaA4Sk2BkZEswvErBC9iZuBmx_xw,2323
process_improve/visualization/adapters/__init__.py,sha256=PB2go4KBdp0F__AbYO1ZiJ4KArW8o7_R5ZQG0LisLKc,266
process_improve/visualization/adapters/base.py,sha256=WIdS6oY8WwW46aKl6dHYWhqBbOeFXk5M1DxNsgcC1iw,1205
process_improve/visualization/adapters/echarts_adapter.py,sha256=rXAU1qLvXld2Rrwh-Y_Yf3Uj5CEqCTADmtFjVNIM2CM,27071
process_improve/visualization/adapters/plotly_adapter.py,sha256=5AEqFH2QWpfC0i01IKy_q6eGZaxmzvB-E-E32GKxr8g,18711
process_improve/visualization/charts/__init__.py,sha256=NinOc07cjcRm4g27lUDIuAmDamg1WOSVc9x0zmo2Gfk,526
process_improve/visualization/charts/boxplot.py,sha256=xHZ5baB0hk6MyGpkL05HteuVKq-OeFsmf-6RmjCAdr0,5205
process_improve/visualization/colors.py,sha256=_gCHB6XB3p1-Pq11i1KK7ne41Zm4eYE7BCVjqPSXKBY,4654
process_improve/visualization/raincloud.py,sha256=sTiO_5kTsn1h2SJcUc6Pi6KmnWVLY1Ao6BJNLZ35Li8,3945
process_improve/visualization/spec.py,sha256=Bqwv1-Ctj44vJI_7IUKYcIEEom3Ussl3dayMsW1xduo,10854
process_improve/visualization/themes.py,sha256=F_kdT9NS2QmSgQHrkPNX15LZ3CaOdvL8Pk3QfIw8Wa8,11034
process_improve/visualization/tools.py,sha256=7ex3ZqMSQYJXahKxbp-Y_BcJCIWqz3cVbhZfiUDgHWQ,8739
process_improve/visualization/types.py,sha256=gBa6qJ8psBRmXT_qBJi3AJS-bgVvFSjlzQ0qKEGdhIE,2164
process_improve-2.0.0.dist-info/WHEEL,sha256=9IUYslYuG_asT4WlWvfk_K76nveuLvSTKDoLeL0cV-Q,80
process_improve-2.0.0.dist-info/entry_points.txt,sha256=yhdpWPBFmkDYKad8XwGurmWRIin-aT8uQBMn-BipYkY,73
process_improve-2.0.0.dist-info/METADATA,sha256=4MEgfaTZ1KiTR5gjGRjh3hZGk7iJTpMFnxsUUEqyWWQ,23845
process_improve-2.0.0.dist-info/RECORD,,
