fold/__init__.py,sha256=tDH231EyZAQfzwksobIQgtaval7wZwaI78ZAIqNmsZw,487
fold/base/__init__.py,sha256=YQWenRxbDJx4eO6tM42QqeV_tRc47hdHwdbNPmw0ilw,257
fold/base/classes.py,sha256=6kQkb3f9OIFJWjaZinITUZUyUcG0eeISlIwxlvAl3GU,14705
fold/base/scoring.py,sha256=7OI_-UYUua6UYeLtYaB6xC9aJI1BnqxmKE8Pq0WQ3DU,2392
fold/base/utils.py,sha256=ocWAQ8WkJvhjFklekxfgdeYP6ovoaK_87iTQor-VMyc,2509
fold/composites/__init__.py,sha256=SzQeC_0jN_Urf32MPnfJ9uHtU4CJ62yjgIC5HwkrEsE,429
fold/composites/cache.py,sha256=QAEFOb5bVWxNLQwaolP3gBVgBCg228Qhe9gULgZ1peM,5853
fold/composites/columns.py,sha256=TEKnxCbpFIpfd4VDWWbicPA1QanTo9yw_HsJx8hTTh8,12243
fold/composites/concat.py,sha256=DvzVt6zLvPhLS-f1BeQgdSYuEYWK1n3tSEsodnAVE9Q,5902
fold/composites/ensemble.py,sha256=B9rpUhhMFmt_spd9UTRWT-BAXuWjwvykohAOqWfktxI,3420
fold/composites/metalabeling.py,sha256=EA9atqHTsKl_RtGIAARqvG-5eka-PnEWvo14G_1U1og,6947
fold/composites/optimize.py,sha256=0vxc66YloGBODXPYVsnZppdD1pVojYlaoj21KX4RV2I,4830
fold/composites/residual.py,sha256=E9SKZ-EQI1_dp95flS9jb72CD2eJctvVZ0X0c8u0vsc,5387
fold/composites/sample.py,sha256=6r5W5JTni-2yYPocG1Llcjvo8W5liNYRDKWaFTkJkf8,3127
fold/composites/select.py,sha256=KozYmYsXuU-qahpVTPM9oRfEtxgkb14GLnRnvSSC8dE,3715
fold/composites/target.py,sha256=NQ0L5COj54nmb5nyeEhMUCkL4MDNwIrJZNZFT27ZJmo,5367
fold/composites/utils.py,sha256=TGDP13p8ftuHhNa_EQdigkIfdx5dYnb84jtIRblUlzI,2478
fold/events/__init__.py,sha256=kcah88yUvDXSFZNrN5SNLAOSH47J7vZnzX70RQRA1vU,1145
fold/events/filters/__init__.py,sha256=MNbVgiBMa-4BrjL41K4_KS3WANcWbtFxUDxaASYYWMM,68
fold/events/filters/everynth.py,sha256=tvCbH0EDe5hbkPEjw5dQ1aUgLAnQ2VTxVkzTf_8vjqM,241
fold/events/filters/no.py,sha256=NY0Fp8I6lgFjQCwknEIwmTDc9goM0bQhcyedE3d2ySs,315
fold/events/labeling/__init__.py,sha256=f15ApnbFeJjZAtW-ge5xfv0EQtU1M5QHjbFOzDdoBEA,63
fold/events/labeling/fixed.py,sha256=7t1fhnhKClQUzya6pcemPXskSqEgZmRb4zxJPJ2mBgk,3456
fold/events/labeling/strategies.py,sha256=S_4YF1qPZwgrpfC_oEhu3ZpAagaAouaoHKIW529J0vk,546
fold/events/utils.py,sha256=NIs-E2lt2HtiA4ivgXFA3pSMbNcSiz3Z84jQfnQK7UE,241
fold/events/weights/__init__.py,sha256=4CIUf6kMAgi0GemHleGJ5Xnnvg2kn2aaDG6vBFyP_c8,293
fold/events/weights/max.py,sha256=h35qX7xwfN9WF7cfWkBkduzTNWotPTzg6c59Ej0Ydsk,1589
fold/loop/__init__.py,sha256=prUUNQshhOlELSdnEP7MDpgYG_SMXAjHUzuLC2fP-7E,319
fold/loop/backend/__init__.py,sha256=IltypDjZu3XE6o58yCVlq5A0yFeMOsjNUziBcqUxb2g,1145
fold/loop/backend/joblib.py,sha256=kOVJ8iMNUq7zhBEkgLHX72Tm9SyQ1dzbtfW3CVOogDI,3176
fold/loop/backend/pathos.py,sha256=auPnwKAEPRkhWUsdJN-5B_x4UFmbmfnbO523WxJ-2DU,2341
fold/loop/backend/ray.py,sha256=Am4csSd8mMxjKy15aBUXih6qWF9sVii95Tch0M7WCQI,4442
fold/loop/backend/sequential.py,sha256=a-938D3bA0vijY3QR24_e9e4FVU4j1jnUvTD2CmuPO4,2605
fold/loop/backend/thread.py,sha256=49mZKEhlqQ9jcNphNxfu3CA_uXINQ8L0upnSK5qAPho,2378
fold/loop/backtesting.py,sha256=nCMpI1xxHyg7qNfmeG-Q6rpUXRkPe9b2NYsSjpoGfBM,3973
fold/loop/checks.py,sha256=Odx3jLsmCGo4CMN_ZGu1znBQwGNkRClAGoD4WKr2RiA,972
fold/loop/common.py,sha256=_he4q1JANUxg-wnoU4PUz_NaFeodElMEkeNZOfRrDVU,20325
fold/loop/encase.py,sha256=CxcwGuuJ1V-jprsXQyWH8FZCPUoKKLt9lcm00xyvIVA,9860
fold/loop/inference.py,sha256=8-NNbJul2GePSA_QyykECVNrmwvdpwsd9TroEFhDOac,1976
fold/loop/memory.py,sha256=p9220NcEjLLCGnv5flJ_Rv091dDmQlAqXoZleKT-Jew,4469
fold/loop/process/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
fold/loop/process/process_inner_loop.py,sha256=kCeMNdTa1ug4FXkvfvv1rkMl2PWnvNNA8gfGvZdu4Bs,2338
fold/loop/process/process_minibatch.py,sha256=cprgwGaT3xN0-pNa0JS2QGT0tFCRL6fIOqvBS0qgYPY,3813
fold/loop/training.py,sha256=uQOTdvRGz8cynzK7fsoCSwgSuBDnNJcfEcfxq6CLNP8,9176
fold/loop/types.py,sha256=RQCj-el2SYM66nNLNxCxJZZca8O_ZL4ZSEyReRVHkM0,1820
fold/loop/updating.py,sha256=sQ1t6zwb_aa0urC-PpdlO6GO3WwLwKQiIKcuugW0qF0,1660
fold/loop/utils.py,sha256=nD7jgSBorR8YTsX4LTkNbL2sK9xA71wwdmE2_9WOn70,2778
fold/loop/wrap.py,sha256=6rvza_2hXqJAJpPnglCqiXt-wUqO-3amxWqcci7ZeUg,2754
fold/models/__init__.py,sha256=34QcvK6K0WKInJJdE0K92sFGfRZyMgwehNfqZDKmePs,286
fold/models/ar.py,sha256=qXxUTcjBVt1dzS--J0CgAHUjVAS6MIcu_8n5SC36Zgg,3506
fold/models/arima.py,sha256=OTQAb2tXiEp7EvGlQU_bv6eKVUFOrDyJJ99GadREui0,2252
fold/models/base.py,sha256=4vvbZMLXr6suEMoTgl6290VIaG1gDtnqBHsR6D2TLms,3890
fold/models/baseline.py,sha256=M1DPIlEgCWm7T6R6wFyR1N4OhyZpDSMuL9VxV0DymFY,5918
fold/models/dummy.py,sha256=GPRQeQLbGLDAWA1BT16i3Y8yE0CB1H4lfkQncY8elG0,4775
fold/models/garch.py,sha256=9KVPXDNWdMIhtltz1d65ClV5um463IoTpDPTGARGylI,1381
fold/models/random.py,sha256=PX-zTdABaw-Ss1yLugCdApGqJ5AAl7tscTLftZYIMg0,4295
fold/models/sklearn.py,sha256=v-giO-qZg8NnJDyxfwmG0AbD-HXE-O5qzGMUGrlc1Bk,5697
fold/models/wrappers/__init__.py,sha256=g4bMGvMcckie3yxJ7U-0V0NfDaQ2bIsgR4kbajWMoNo,141
fold/models/wrappers/arch.py,sha256=rxpVD5GVx_aDBDnI9mvvgzgxu2mI2Ir_PLUOZ_g-yaQ,2133
fold/models/wrappers/convenience.py,sha256=1873WMrP8PbiHs182qb87hy2Zm-9rsGECUPCB4uDdFU,1352
fold/models/wrappers/gbd.py,sha256=daB98CPDt_5lXmWum-RBTsFJ_Y0-l2XG8dnzJVS2_uU,5659
fold/models/wrappers/neuralforecast.py,sha256=LfHhhNhvO-an0XouW-ucyglhBz2LQBW_vmTkamR0BYs,2918
fold/models/wrappers/prophet.py,sha256=Mhb8rolimUWkehE03w0CBccENLOdgh_jPoo1FMfgIdw,3234
fold/models/wrappers/sktime.py,sha256=W2Pp2F2qwlQ8RbwujRFDFh-yS_jWC9O3kEXMmASH_Z0,3185
fold/models/wrappers/statsforecast.py,sha256=dR7Vbv053eoLmdxW50IohGuEKdc6bISr5IKPyRXLn9g,3142
fold/models/wrappers/statsmodels.py,sha256=Qu4vZwk4rSXQ33cC-cggK2KfnJrP-3cgfMkAVY9HV-c,2835
fold/models/wrappers/types.py,sha256=BHWsB4eegn3q12eVnflr6oXJ3K9WFWRivygadHOwdgc,168
fold/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
fold/splitters.py,sha256=E4VUPRpEXgqlK2pAqh6DzyfU7gsxytup7Ynycx7D2mw,9643
fold/transformations/__init__.py,sha256=V0OXq_xAzfUUysFABxLhgTg6iwDSNx7FwZ0Y3Jo__7E,458
fold/transformations/columns.py,sha256=XBpOiB3pG2EtCEdWD3gZu7WN6SLTtOPY2Wl60kAy1C8,7690
fold/transformations/date.py,sha256=vGYhr2OmRmWlGUmrF4Uxj0h1lgWgubqyo0AqWQEGV7E,8726
fold/transformations/dev.py,sha256=evLhP3455aV31HsfNCqzdOYwbxIyDkT8DwbkrzYrH_U,5526
fold/transformations/difference.py,sha256=n7fRGzqe190RMxs-yWzpuH2T-PmGtoW3J5xJEmkBIwY,6654
fold/transformations/features.py,sha256=wSIH7Qp2OlUDZfp_wRAh4AX1rYiCdTaSbV6LWtcC4mY,11163
fold/transformations/function.py,sha256=W7lbrkfhKvyVZ8Lqx2mLJr3vTnTBDhG1-hGCtriHDZc,1684
fold/transformations/holidays.py,sha256=jyGl-ALtlwc2CibS0Bx0yYy7RT4PYoMsXtdfCBvykNw,9895
fold/transformations/lags.py,sha256=079iwi6JoDKMMcfxldZ_QIgappP_Z6wWtbGnAITHUh8,6211
fold/transformations/math.py,sha256=z2ikjiCmfNAAP5njG-KaK6Tp7jz2g_tlDDU2Bub4Wbc,8848
fold/transformations/scaling.py,sha256=lkz_-AKTgGN2uIu24DSWV1iNHzgHMoGRpU_dA1AUZf0,3820
fold/transformations/sklearn.py,sha256=NZ8AacJErNy2VLukp5O-IrNFO4g4mzO4WDtcfNOBooc,8465
fold/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
fold/utils/checks.py,sha256=Ch5V8L1Bf-FsagCaKEO-rVDM2n7s8qZ3R0DSjq5pDoM,3821
fold/utils/dataframe.py,sha256=ZWtCibmpqyqv-mjMmsVxLrzGoYNdPSw0nbdk503-dJE,5472
fold/utils/dataset.py,sha256=m6zVVkONIJDRaOENBrm6mAgcN10l9bziiTxO9YwnpiE,1872
fold/utils/enums.py,sha256=GTwrFUJXXHEZGB3aZFvxqmepCtdU_dURYcyK3-6KrTs,455
fold/utils/forward.py,sha256=cjLZC4BS6CVLk8ebR9Odds4puudUTVD82nkt7dRDffA,596
fold/utils/functional.py,sha256=DtoNKExSZFf3Pj589YlYudanHM-Klsz3hvzhwgW77kk,194
fold/utils/introspection.py,sha256=JEx3zNuwkSblXgr9dher6Wc3I_5g_cxTwfLNd0YPuKU,221
fold/utils/list.py,sha256=cc201fY7qrhavYIUyT4HyUAYySo9McWyDXCIT5dF9eg,2935
fold/utils/test_utils.py,sha256=betkfYpDJGcpYxY0g32aWTMrkcDN6Vmr9eD9z53Q2jc,770
fold/utils/tests.py,sha256=M0F9fXaC9RHuKH4GnBiZMDPd-7946i7H2XQs8YFhovo,4953
fold/utils/trim.py,sha256=By_rnHkmUUxPkYlzNEUodtE5ldIu2YLhbtyOJ0WTMkI,2307
fold_core-1.0.2.dist-info/LICENSE,sha256=s4SkVXyMEv0exwol3m79PgwyHeZfhI4YiZsdAJxpaKc,3870
fold_core-1.0.2.dist-info/METADATA,sha256=v6sACeppbt2KlNcsdVrDmL_UrwezmfGftkAxzC_8fwQ,13140
fold_core-1.0.2.dist-info/WHEEL,sha256=d2fvjOD7sXsVzChCqf0Ty0JbHKBaLYwDbGQDwQTnJ50,88
fold_core-1.0.2.dist-info/RECORD,,
