vectrix/__init__.py,sha256=sHbE86nQnF5qidz30ZVtr1pietAXraDLC9upRO_w2bE,3248
vectrix/batch.py,sha256=Hol1Z2zS78d4XNN7DM3n75FjsocBmM9hdGxrOr2pbao,4570
vectrix/datasets.py,sha256=JT9h9LrkKRGLZlT6lFkzpiJIZ0FJNjidIJjm3cIqHA8,9119
vectrix/easy.py,sha256=q65xV3gSGzJk_IsAYRQtbp819UAVqPsmC1b-47qsyus,41551
vectrix/persistence.py,sha256=0wNq-k8P0lzajL-uWEYi20vxuwSwKole6PoHjx9JczI,3096
vectrix/pipeline.py,sha256=0D4DRWGp0f7fbIfN-ymzNrRLlVNB6E-3w0TsI8iFmT8,18931
vectrix/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
vectrix/types.py,sha256=yRQfwLLNJed1AvSo7DwAn9eQ4-eaZUvr8E-LdmSg67A,10317
vectrix/vectrix.py,sha256=dSTnr9petzlhNudvNKoI3_yjMAs52qo_CtAKpUc7cxc,32654
vectrix/adaptive/__init__.py,sha256=r4VSbnfKSUgD1bjCcYBTg28l1kVEiliWi50TNU_3vDY,2248
vectrix/adaptive/constraints.py,sha256=mD9RHD1_9IiWARq9KZl6qlXqEe51V-9l6cYWo4eu7-8,29673
vectrix/adaptive/dna.py,sha256=K3PsUpmy_UJhBfYES52eXwZPEy8l0yNdsX-KVZ1OF2k,57367
vectrix/adaptive/healing.py,sha256=IOxH1e3cCALWEPHONzom2CAexZ0JUxNZQa_7L5HWlxY,34159
vectrix/adaptive/regime.py,sha256=cuLmPReeYgTRJRAWcr-gGG8G-ikt9LYLOUThIA7qHKY,43358
vectrix/analyzer/__init__.py,sha256=Xa7tdlDnY2TKh8U9xmmC3hEbf-vaq_yFrjydQU3_1ZI,107
vectrix/analyzer/autoAnalyzer.py,sha256=wYvYYG2VYkZRu6phXEy_q0VgqkSjsvTUXmaBvcSsMQg,12421
vectrix/business/__init__.py,sha256=-ieIlbneuHukoJd9-JuAt_oxa1ggl5Qaz90ixX0TuRs,766
vectrix/business/anomaly.py,sha256=--Cw6JKw1zJozb8Ix_he-_YEoK5N1a0OuaeqwMcDxsE,6762
vectrix/business/backtest.py,sha256=vnnKtEYiAiS0d6mEX8nhmFgEX0UYEkGdykJlPSCtRuc,5779
vectrix/business/explain.py,sha256=maO6zvoCrandOJIVXHUIzDqsYP-9loHjNGlxcPSbDK8,6320
vectrix/business/htmlReport.py,sha256=Cm361Ilh4dIKpIllIM67TVt9H-BJN_rJY0xXZmEYPQI,7136
vectrix/business/metrics.py,sha256=WgyTOrUGOgzbhYrkVT-ZsuOUjfyXJZ2MxFePs-rRDaM,5141
vectrix/business/report.py,sha256=WGZZOG4clMubagoxkyk6uvo6-eveZmVCeZpiex_6Bdg,9199
vectrix/business/whatif.py,sha256=dHOzhCPeLaT8MWEahk7d784JB6Xsgv6WxNnS_yOKUY4,5401
vectrix/engine/__init__.py,sha256=I6Ppfg8C6zO2HOh-D7NNY8ldQdjwtIE0cB_ytLn9SuM,2618
vectrix/engine/adversarial.py,sha256=uJoCuFhLNMU0cyrBtuRq_amJdwo5vIF1j8VAAAjU3Qk,15439
vectrix/engine/arima.py,sha256=Ma6VAIYoQ1am2wa47PLWTT-GAyCLUuC_sCJz8ses6lM,27728
vectrix/engine/arimax.py,sha256=zCUfKeOpFlVCvjuuutF0nEfiAcHtRJe8jlBbDweCgYg,3705
vectrix/engine/baselines.py,sha256=YyS1xjeAIvqtSbDVom3Tdk4yTkdZ6KFJbnMs63kja88,6174
vectrix/engine/ces.py,sha256=eJE_6iLQ4IYw4wtPJQvd6rWRzoRwF3cd6cQn-u_08Ag,7555
vectrix/engine/changepoint.py,sha256=tryoBORpLYpOk8zDsomsCcUm1yx4u11EYNMYfAJhZKg,23293
vectrix/engine/comparison.py,sha256=zl1BDdrELiksOWlTOr96v76m2PehbhGQepF0nLtgYW0,12827
vectrix/engine/crossval.py,sha256=31lSfBpmBN_m8wdeXe-UxXPYF8CYjE_9v0AXUqpKR9k,5893
vectrix/engine/croston.py,sha256=DPi02hWkvqQg9iofbG7KuHCKDOQvVkRXUVqyZiLH_5w,6951
vectrix/engine/decomposition.py,sha256=LA7LqFjAJe99Izi1GIkk0LRVbc1mLir5p8OsXX7-Tqo,12563
vectrix/engine/diagnostics.py,sha256=DiOk6M4fc-nzB8tM1gc2KUaAJaB96jyKXYghmXNL__o,16745
vectrix/engine/dot.py,sha256=qKs98AYbV05uTxHqR9Bm1bRK97sJ-WIaNwPO_qjxTSk,5666
vectrix/engine/entropic.py,sha256=3GI73MNTIasZJG69yaTZSiv90JxQc_VELe6I4jQ8Bp4,12105
vectrix/engine/ets.py,sha256=kGcPb2zkg8haRIoHj1R6T3n7RgbccOnxdSGIR50CiX0,23402
vectrix/engine/events.py,sha256=yAxIZQyOA3oGWVnaySE1oKEpTsyo0fC9UvOUbm1g2DY,27644
vectrix/engine/garch.py,sha256=-GaNgd_o1PGuY2qU6XCvJRlRqKFZa3_5psP500bx_ZA,11252
vectrix/engine/hawkes.py,sha256=i-N-ujJuBvddqJ2Go_gJggz8b8JSbSwZAfA7pAckEvQ,10850
vectrix/engine/impute.py,sha256=OKlW0c8zxU4PpnVE0A_mC00Og_DSPtLSp9ruhia81hc,6036
vectrix/engine/logistic.py,sha256=O2lOvnc4okh23knv_DsSMGQMLfk4APaJe2EdhllCwUM,8094
vectrix/engine/lotkaVolterra.py,sha256=8FG5sjY2UvzndAKrvqKpw6lvhK5PYSzT3WEnQTh_t8Q,10208
vectrix/engine/mstl.py,sha256=yzLDdD1WEN0qyMHGhSp1X--HNWPFlgBVC3MBevrO0lM,9244
vectrix/engine/periodic_drop.py,sha256=MCzY1Pyxp3NFGRjknov_LzQLBAgUkzDuw7_Gau7ZvaA,6609
vectrix/engine/phaseTransition.py,sha256=DS8Z1yFAc4XZVcxX-eX0w4FWTpN7P7dd10yAfxGM8D4,7914
vectrix/engine/probabilistic.py,sha256=r-YPZG3vK1W5RRkx-jkCE3H3kFndAcqPSvEGLCtlWDA,5743
vectrix/engine/tbats.py,sha256=3Ss3VsRi8CTwbqoWiVhjCnY0LePh6MEAGnjXAejVQTA,11537
vectrix/engine/theta.py,sha256=8lA8hgwMFKt3rQKTbWyzj-AT0G7qmJMBD53K0BnR8p4,9550
vectrix/engine/tsfeatures.py,sha256=SgtLoCPrrSmppzGGa39O4wcKhMDXlE4UT-j_aG4R_Qw,48034
vectrix/engine/turbo.py,sha256=tgmxhHw_5XE3Igdv-TyZqyeKdxQLFcMB0tEBU_0gc00,11951
vectrix/engine/var.py,sha256=czO7pKNZCckucJ1o41UL3Vtv64vhZAWKHqn0IgHQKuU,12122
vectrix/experiments/__init__.py,sha256=DRE77uBZhhSfCIduudbRPgiHDbyqFXcm_evAb5HPF8g,83
vectrix/experiments/e001_realdata_benchmark.py,sha256=Zu4QpQihgZZ0m_oxb57F7EQt4pzBOJTK2hDpVlJHwY4,13438
vectrix/experiments/e002_ets_optimization.py,sha256=SgrPSXwHesp58M0hPNnilElcdPXV1cTKVKGNQ7pY4wk,11246
vectrix/experiments/e003_speed_optimization.py,sha256=VAtDyxL-BTe8WsMRBZVDSzAzwGzbYaN7zLZjG8Horrk,9420
vectrix/experiments/e004_speed_improvement.py,sha256=GdqlHzwjyDpemuPUU4jdXmujuU3pXinkMVJ6KgZZh4g,2289
vectrix/experiments/e005_ensemble_optimization.py,sha256=vnRJUFszWvysXSrwC-HxKWSs5sPro-ykvxMMyj5L9ro,18758
vectrix/experiments/e006_multiple_seasonality.py,sha256=69I6sOCtCa4NyXfNc85P6JiTtTeCAGViuPy03bYqsb8,17025
vectrix/experiments/e007_outlier_handling.py,sha256=BphVgoT6Q8SZXNLO2K1-b6umYGuoTjycHZ489cAr8bE,19582
vectrix/experiments/e009_periodic_pattern.py,sha256=0qqxNT9xHKHOnmgpV_SP7rlsOKftYOMeSLVo0sF1wyM,13261
vectrix/experiments/e010_mstl_loess.py,sha256=M9DSmHhJ6duEs_nd1v2pl3XoVQly7xdbpNoQbF7kCww,13526
vectrix/experiments/e011_drop_detection_integration.py,sha256=QRXQ1ELQmucCctpP8dt2O-L2tIjM_GK4HCNLLPRpU4Q,10954
vectrix/flat_defense/__init__.py,sha256=uK4mQ_zYz1wkcUz9ZF1RBcjy-J8EnC0U66Y-WpiEfhc,506
vectrix/flat_defense/corrector.py,sha256=KCEDkTVFJ0yn2gTRVV6AqXZMVqgAVexBkFxdqnsnkdg,9726
vectrix/flat_defense/detector.py,sha256=ZNz9AopSkFY9uqbcauYvnLn7KX8Q5vsXldENRlb_aVQ,6444
vectrix/flat_defense/diagnostic.py,sha256=Yw-9Tl3XV7cW7bBbGk5VS9Z75hNiW3BGrY_z8EbO0RI,8736
vectrix/global_model/__init__.py,sha256=KrGluC5R2aktUvXTbkLVC8VdSkto1C_EgZx-sBWrRDs,350
vectrix/global_model/global_forecaster.py,sha256=rgtvbDAEx0BQKp5Uf46Fn4FtaE9M_xCy0Gy9foqRqq0,4522
vectrix/global_model/panel.py,sha256=Uh4SswHAmDGZKT0E5h8g-NEHvhWSf9vJyxTuZxzorjE,4299
vectrix/hierarchy/__init__.py,sha256=pucbVFzbLNfuMVxvhJ8TrRXAHE2Rnoyvnt7YPb1iqvs,323
vectrix/hierarchy/reconciliation.py,sha256=zqSt-_bcDWpAPW4oQJVNKCfkq6k1t9k37QMsvM6olBM,6078
vectrix/intervals/__init__.py,sha256=zQt6qHEt6enCVei5OJx_vD_00JPv4M9dSNFmzRq2baY,566
vectrix/intervals/bootstrap.py,sha256=SN8n33TwCWJMF1mVIRBb-hJnfCpxox1_1uazgGqNDvU,2721
vectrix/intervals/conformal.py,sha256=O4G80Kah8zS0hzJMuz4g2mycI1hEMa3LvJa3g1qbSWw,4913
vectrix/intervals/distributions.py,sha256=-I9h_2YZkNtMWba8ed-hI3v6qLjJX4CynboWif4FP6Q,10249
vectrix/ml/__init__.py,sha256=nHGisAPV-HoP4qK8NdOZd6_oam3gGsxHXcOqQqb61jQ,1187
vectrix/ml/chronos_model.py,sha256=ZlzidVqnAE_dg-AHG5c5s8Mn9EzEu73H2SV952zf0So,6526
vectrix/ml/lightgbm_model.py,sha256=yuI6jEyOxcGVJUKz4zdizbO-pMkquQP8jZtc6pokEmg,3495
vectrix/ml/neuralforecast_model.py,sha256=x7-E6J9CJpWSE6EXb8e-vaGtDpsfPP36k1NdYUoTZIU,6613
vectrix/ml/sklearn_model.py,sha256=NV01Gxk9X71ISX11Ueg92FqCibLjwbAsoFhPOWPOpfc,3063
vectrix/ml/timesfm_model.py,sha256=6mQU9BvfkZFQueGRYaGCL0uQnXMHWlmcuoRXRzBFGYI,8565
vectrix/ml/xgboost_model.py,sha256=gRQAoGfIYkoc9vSbYInBEgRgJ6RXiP48PtEsyq4So2M,3456
vectrix/models/__init__.py,sha256=hZVQEeGBcEM2CCrRbNW_azvOJr55i_U2arMrL-ZqbEo,111
vectrix/models/selector.py,sha256=kHyRCYAN40VEw2zJJFt4XXdenJirwPheTZWmL1ZrERI,8279
vectrix/models/ensemble/__init__.py,sha256=aKPfVu-vcmQdpy35NhZMhCczXPeEq8H0ysuWLhzil68,141
vectrix/models/ensemble/variabilityEnsemble.py,sha256=__nA42I-aVzKxwKktoeOKemiqT2qWyS9odqj80KPshw,10421
vectrix/regression/__init__.py,sha256=2Zfw1POE79UzxO2IEc33WE7ccrMNgpSNLhFq4T55_W8,2216
vectrix/regression/diagnostics.py,sha256=ojRnIFwzAmmbkXGJ5WORktr1L4YX-SFdhXa1IrWzAcY,31419
vectrix/regression/features.py,sha256=keufqtBsxhJI5lbcG55e753M7KNhHlF5ONv24un6unU,7186
vectrix/regression/inference.py,sha256=jsDDhco5bg15sNh1zh0yESeFuWgzpGvCdhmK6gps_EA,19159
vectrix/regression/linear.py,sha256=zIQt_4EMXJ7RmxNeN6LyQDt4uL1tg3G4athUYddcF24,6187
vectrix/regression/reduction.py,sha256=Bw_7DJlN0S6T1x3EpPC5ZUPFrrkcuCOlLNXeceOi2Ts,6055
vectrix/regression/robust.py,sha256=qxIhEydivdLZCjchSOLQhBMVu_qQfv2gpr_7Dk_6OoE,17765
vectrix/regression/selection.py,sha256=j7PX5Qj7rQTPsz5bUE1z2j7aOsq2ulSJzocPImDvUmQ,28268
vectrix/regression/timeseries_regression.py,sha256=l1ar_piPvovUkhpjif-GjJ29poRpePVDDjtW1LFsEH0,29540
vectrix/tsframe/__init__.py,sha256=ebdQudMAZy1D3wfE-EzAAHLxdtvEzVpw5EmLKIFevOg,261
vectrix/tsframe/tsframe.py,sha256=aEveB8HYOQGdSSccARD4VRU-aZzDNpCE5TnV-UJ4RiI,9040
vectrix-0.0.3.dist-info/METADATA,sha256=MNDQF6fxV5jYRLSpJsZtU7xk_OdKuafNO2yasQwQ8XY,18409
vectrix-0.0.3.dist-info/WHEEL,sha256=QccIxa26bgl1E6uMy58deGWi-0aeIkkangHcxk2kWfw,87
vectrix-0.0.3.dist-info/licenses/LICENSE,sha256=1B6pOxeLdVyhHoS7zUOO_DZJGqHZo8z4pxyCmjihkC4,1098
vectrix-0.0.3.dist-info/RECORD,,
