verticapy/__init__.py,sha256=SZolfB37pvuxhOX12gMPcafHqVCH3_oR4mWPPWc44MQ,3693
verticapy/_help.py,sha256=Q0m4srjOcoC82agm5D8TZ-9GL0T1CwKhlzlgPGlwMf0,3917
verticapy/_typing.py,sha256=JTY6pTQYVCz8vAXnDFYM_GjUMgNDJNg_Mu58bImVbGg,2160
verticapy/_config/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/_config/config.py,sha256=BFX2h6Bel3rtkxrvfN0N5Kt0RMiwpWtrrwfXB0sZuwU,6070
verticapy/_config/validators.py,sha256=KLxs_BaIHS5dORBuDy1Uhy5C2vYgr8YlvSFkgYwL4LQ,2493
verticapy/_utils/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/_utils/_display.py,sha256=sPrmo_lGfcEJi1mbOTC8ZMPgUq44YN0C8jZNymgfI28,12398
verticapy/_utils/_gen.py,sha256=_CFmmhR6FUSf0EbYKP1x82MAvCJJujg7LKOEy7Y2VVc,1707
verticapy/_utils/_logo.py,sha256=42DXz5m9ND7qhCJPttWDmIXYncS0Oy3CpN4lSgVQ_HI,73985
verticapy/_utils/_map.py,sha256=KImqmRg6pWE9bLXAqqbIF5R-BV0CZqD2lv9z_C9QKfM,4401
verticapy/_utils/_object.py,sha256=1ky3uDdqWuAlmJnJoGSYkOm9cMSqUgFEPxAAbtefrqY,1758
verticapy/_utils/_parsers.py,sha256=z6PptQXglJNh732PM-PDnm-LSVraXdtIWMIFIoXIeL0,2292
verticapy/_utils/_sql/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/_utils/_sql/_cast.py,sha256=gfeunqKY5fvcmQ5k1EWUGcG0PRLNz5Odc0neF4wYAt0,3789
verticapy/_utils/_sql/_check.py,sha256=3w6iZw06IT1H6zxVfsCxJmx_e5rYq5OBM-6i66vtCu0,1272
verticapy/_utils/_sql/_collect.py,sha256=5zWi6C_hrdZGb28KWtRw4-pNZwtaIMoju9OOWGUXO2k,5564
verticapy/_utils/_sql/_dblink.py,sha256=WY8lyXwTE3UyljDcDvtMP3Lx6LPKtZ0SRO4NMjrkx_Y,3847
verticapy/_utils/_sql/_display.py,sha256=OmuC9q0Ft-DMFA6EbHs6G1jnHY0P2NRTGUfu7uNElKE,1797
verticapy/_utils/_sql/_format.py,sha256=gYXfqOrORntp49ultFzSXSn4agsYPNIqWo8eIXMId8E,11105
verticapy/_utils/_sql/_merge.py,sha256=XkdoNCRKq5yclXwT7BhkhtsqbMaH07jgGzd8B9mUEGQ,9319
verticapy/_utils/_sql/_random.py,sha256=IryJIf2pGEMO-4j4f2Zng5KST7QLmthHxtRPlkQlQ8s,1399
verticapy/_utils/_sql/_sys.py,sha256=YXayedKg_utn5xZF1LOjCSeTtPeH611cTMidKyS7fgI,2652
verticapy/_utils/_sql/_vertica_version.py,sha256=g67XZ0bIR2DVXWkpEfBSChAk-WhLyU04UDPeaauRKbA,4935
verticapy/connection/__init__.py,sha256=wGbm40E3hvBrN_676-tTa63wFi2AxzokF8ZbnKwk_UI,1079
verticapy/connection/connect.py,sha256=nXNgiO8j1XKQqP2WO0I_XDPYVB7NvOsXBNGi-WK2nwU,6355
verticapy/connection/external.py,sha256=NjxbMsnPY2ZqU_XwOkKDrVUE3L9whIRUxCSrl_hgucQ,1598
verticapy/connection/global_connection.py,sha256=YTjkA9Cw0IHpFkkPsmfzrjq6iaF3_nyLl3A1cNK2paA,3244
verticapy/connection/read.py,sha256=XcbFykEMP24gl4oyO_snn8dQZ8HUw4JvfkcE_yC_oD8,5113
verticapy/connection/utils.py,sha256=i7zSeI8RKUXSXg5np-4QopPGbBN3N4peaFNHaj0kJ7M,1734
verticapy/connection/write.py,sha256=9g6RBLcnmypgVcfA1uvBxNQKVy2VRi0S7UMNpRpdCjE,5715
verticapy/core/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/core/parsers/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/core/parsers/_utils.py,sha256=cZ6RxZXRLzEICEN6a_8aqbbKvSODDEUFnJD6ra6-9E4,2152
verticapy/core/parsers/all.py,sha256=I1e6kv2wSM9zZrULO8n8-TZR4M2Ve0WCtf60Hkjhhn0,10436
verticapy/core/parsers/avro.py,sha256=QEJcKiywQ9nmw3GsPYuLbElmls60vipU1q0wPPrJcJw,5484
verticapy/core/parsers/csv.py,sha256=b2RyfM2EqJMsorAljYaK7gCH2bzZAdQOlz4ir_VHshk,20468
verticapy/core/parsers/json.py,sha256=91hZ7bc-SKDtY7_ZqwO5QKtjwzm3H6fRMsm1TzA_71A,18799
verticapy/core/parsers/pandas.py,sha256=EJEYi78j8OAyryka-GDA_-twoHUbtTIFP-f56rN1K-w,6878
verticapy/core/parsers/shp.py,sha256=EGAnlcGPlu4AR3jwGfuenBsoGF561toCRSeywaVf_tc,2563
verticapy/core/string_sql/__init__.py,sha256=yKeUKAxHZ7ABoY0rF6yzl0npeetRYBo5q2g7a5J2OZ4,667
verticapy/core/string_sql/base.py,sha256=K9P4nYfRugtke29yaX9temxlQ33Y7Ru9r-pkMqttUTE,9906
verticapy/core/tablesample/__init__.py,sha256=wOzugKaoABDntLjG1k56PxoDYeLvAUhLzsDICtdfrE0,670
verticapy/core/tablesample/base.py,sha256=LTuw4rRQC3PtVVnZXwWp5CBKMVT9YJUgrBaCSwmyfyo,22392
verticapy/core/vdataframe/__init__.py,sha256=6O7SF00A_WoAfduqUu1JEDP28Q3g963Ls0NOn-NO1vA,681
verticapy/core/vdataframe/_aggregate.py,sha256=OhcpgKZULUczmkcYcUEJfm06T5Uy_1anLsSju_Fhzs4,86125
verticapy/core/vdataframe/_corr.py,sha256=9ni3EwJWtcbuKJ1JoS8V4Lei5Zox0GDvF6tgQN-gjQ0,74311
verticapy/core/vdataframe/_encoding.py,sha256=mF4ayhnf3dc-jwJjFAaDfSIofwLn8bOFjA4kdHNxj6M,24460
verticapy/core/vdataframe/_eval.py,sha256=Me5H8ovFJbkuZl8kgeKSvWUwcHdeWiEG852buGnEXMk,5346
verticapy/core/vdataframe/_fill.py,sha256=GY1GLSl6NJXOWCk1PVqK8ccJECrrfY5FwBDXaeRCvsU,20773
verticapy/core/vdataframe/_filter.py,sha256=9AfLEwg_1mElYePbeDJDnXmh1-1BQ0uN-Vn_ExRm9xQ,28652
verticapy/core/vdataframe/_io.py,sha256=60SiExJ6JXCxey4XWAtViN-XGWfQgO9qPSmxlxs1q1o,30554
verticapy/core/vdataframe/_join_union_sort.py,sha256=7_Wohresk9Vy3k_ykumw56f1T0KnERTIEULQ5YPSHEo,11984
verticapy/core/vdataframe/_machine_learning.py,sha256=6auPCirngxtuFZLSAAIMl6kzFiw_7qhDe04NMO-zkjA,35973
verticapy/core/vdataframe/_math.py,sha256=wFWLbS9UW54zC7XiVGSWND7NxBh3iBxjif0_pz76POY,33120
verticapy/core/vdataframe/_multiprocessing.py,sha256=qoLY4JzfuWn_lXKliyOmxMqbsJOdWZVjQn8Uy7DD86w,1716
verticapy/core/vdataframe/_normalize.py,sha256=tZudtUYNAnHDl-zU5dCXqWVES_GBo66K9C4xwQ_MCvU,17839
verticapy/core/vdataframe/_pivot.py,sha256=UpswoCmB5uGCE04lpS3X5h6a4IGq630NOFYvwBrYmKY,9053
verticapy/core/vdataframe/_plotting.py,sha256=cNvk6_yyJrUar0dulMh5ohlKi9cQOjZWhUq7Qi9I6mw,76758
verticapy/core/vdataframe/_plotting_animated.py,sha256=0jQb7IhDYuZMVt5I4krsPicSOMhD0klq9P7z_uJBCto,16513
verticapy/core/vdataframe/_read.py,sha256=rirEWlqY6fJGz7oQLOx3gj_2r2bIv7MLuIXQhdI9qwk,21629
verticapy/core/vdataframe/_rolling.py,sha256=uyh_K_GAqTxRyKp2AQ5sAEmfHsHbpBMOlNtspCDXshs,15755
verticapy/core/vdataframe/_sys.py,sha256=nCrK5shDjdkZ9NLsx50i59_-hZRlYyTLils2C6Nkd2I,27363
verticapy/core/vdataframe/_text.py,sha256=cRfkgzZYZTwo6Pnuv39UKeUYv9_IX-Jm6eiRBZ5YqmI,7350
verticapy/core/vdataframe/_typing.py,sha256=qv00y6LWIKZQnSrCD0U8HVd2nYLgoH-z5X-cCxGM3Rk,13021
verticapy/core/vdataframe/_utils.py,sha256=skHyauCMA_OIBHgkqOui9fTBj0q-JklHTAbaPwU7PKM,7342
verticapy/core/vdataframe/base.py,sha256=-Uf7fn7hqXzfwX7cxsJbz-dt4Rml7maQn-XX4AzwzIg,15648
verticapy/datasets/__init__.py,sha256=ty-Fm0-_7a4dXT3FGCb2P-x1Kt_J2lLxn--Nw4DQ9rQ,1093
verticapy/datasets/generators.py,sha256=aseIj_wEdN6W5dzJnZPcH0DDNPFsjAwsBE4LDr3zEMs,9821
verticapy/datasets/loaders.py,sha256=FIPwvWO5biMoISo_wVhZnMpxP__dwtJdknh41-_5K60,18855
verticapy/datasets/tests_loaders.py,sha256=5HVFOhUok_vy8B6DCiepJY3pZBUcHi3eQgbG8_09UpE,4390
verticapy/datasets/data/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/datasets/data/airline_passengers.csv,sha256=Z0K3WUKr_b-KD4sYjtkH38GjCXJVaG4v8NcV1D4t3J0,2617
verticapy/datasets/data/amazon.csv,sha256=KzMDlS8rM8YETHkAoEJ_HDxfbariK0LVyFmQ7znjEPk,174821
verticapy/datasets/data/cities.csv,sha256=VjRkiNrzYrreasdzGfcH13DFkSekcqvHTlf-rZ56MFA,10701
verticapy/datasets/data/commodities.csv,sha256=8J_0_SNIZQ_uZT4d3SD77_4BhlFHEv0cds-t7SppX1Y,40378
verticapy/datasets/data/gapminder.csv,sha256=fGzg_bBChS6vMiCaROlKy8yAwMyrmxcsSE7Jpp89cXU,82078
verticapy/datasets/data/iris.csv,sha256=YArETyPC5uCuN9qsjOsrq6Tflj76WA6zGztXayjjTFU,5107
verticapy/datasets/data/market.csv,sha256=jhaYSPCXDSYyCfaI6ZvdGl0Eh0cSZXs85PGG-sh-YH4,11566
verticapy/datasets/data/pop_growth.csv,sha256=4L2MTdmb6XWMaTMPN0L0xVfEDwMWYYAXdbZSFOjmfIg,400878
verticapy/datasets/data/smart_meters.csv,sha256=xHuIXDcUSGziLwi5Q6HppqptjPz2PC35tuDL2cCSLA4,367185
verticapy/datasets/data/titanic.csv,sha256=2235ZmgYxpp1PNhddD4BUCyFGLAFebaq2g1PxaZsy50,116752
verticapy/datasets/data/winequality.csv,sha256=1puqKIIzCGo1siZ2nbTwsXPF6RsvcwC_ERbg32GZaTQ,406287
verticapy/datasets/data/world.csv,sha256=SRvHWZmP70UA2OIYeHpJqzd6nQ2gyrJo9BAYKsq-T8g,390866
verticapy/errors/__init__.py,sha256=YvKNiovY9O3Cgp2QlxnVua_ZcE1ApbWfDp-knzZ-ErA,1159
verticapy/geo/__init__.py,sha256=m1uDz4AT0Gn8RntCU5TNISgJVrLiAjM3KADTri9TqJ4,817
verticapy/hchart/__init__.py,sha256=-vl9VYhACa-ZAuyuTGJY-ErERqIPafznmk6djkYXlkQ,690
verticapy/jupyter/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/jupyter/_javascript.py,sha256=SJwEYUR5x1H68FAe8C7A0sAbpkuiUaagynRB-lZd_qo,8964
verticapy/jupyter/extensions/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/jupyter/extensions/_utils.py,sha256=kkD0z1TzGeTJ-obqPes-rReQGaKDg-S4KLAy9LD1XaY,1862
verticapy/jupyter/extensions/chart_magic.py,sha256=kpc_03pGCSnLmvid1CqVMSLq5RtYs30Fa67d8oVKIhc,9823
verticapy/jupyter/extensions/sql_magic.py,sha256=dxh5iU8nIG3uKVGoFm5ySVHJCiZI66gUZrMxPwikWjU,11909
verticapy/learn/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/learn/cluster/__init__.py,sha256=A-_rNWKcTDebDHPbkZeabuzqi3uREU5ndHdEfoJO_U0,735
verticapy/learn/decomposition/__init__.py,sha256=RayLOiJOdrlfYGIu4J4v69IF9J8n_d-xzUD5FX7KLcg,689
verticapy/learn/delphi/__init__.py,sha256=yMGbaSPTLpZryKInUI3b1oFVBWMoL1yP_pWxOUbc1-I,842
verticapy/learn/ensemble/__init__.py,sha256=tOpiJl3UMrJobVCpN14Trh1w27umWB99nToHYvgdt5Q,787
verticapy/learn/linear_model/__init__.py,sha256=3shrdXspEEGPt1nTGMegDrd8oXUiwHasem-DC_JTKTY,762
verticapy/learn/memmodel/__init__.py,sha256=nxxQgqBWmuePUc1wS44Lc6amyrt6CjRQX6xz4NUzMJ8,681
verticapy/learn/metrics/__init__.py,sha256=8h4SMNFRfCtZt2fMggN_Z8uQlyLDJxNFybxDS3punTo,2933
verticapy/learn/model_selection/__init__.py,sha256=4CIwuUN7Um0s63_mxiB7hK3wvo3bODzqeOsd7lqLuaY,1281
verticapy/learn/naive_bayes/__init__.py,sha256=e9IO4r4GWlKTnp0gzLC3QjqYn6PPS_6f3_Gyi4hgwUA,764
verticapy/learn/neighbors/__init__.py,sha256=-z3EyPn7hTqFTCTEtQQ0R2sNnOHM0PfeGkAplCL-zGQ,840
verticapy/learn/pipeline/__init__.py,sha256=-3x8A33VNoMTHnu2Vwgjaegl4lgMAxjpba0AJX_yNYI,679
verticapy/learn/preprocessing/__init__.py,sha256=dSkz23SKs9GhZ94tQqj5d_VQhqDh0clNsew1ktwSOS8,800
verticapy/learn/svm/__init__.py,sha256=j37-xRCWtwUCvj2sbFOesvbkZy9vxSQIMH129yJhvjQ,686
verticapy/learn/tools/__init__.py,sha256=fvltZmiATTKQGutHrnFYa9v_d2KaJNKZiA4uBpdCwZs,689
verticapy/learn/tree/__init__.py,sha256=R7Ex2hty7k_vG1UF9r-QTkpPuiMShDGUunsrExeIUCw,774
verticapy/learn/tsa/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/learn/vmodel/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/machine_learning/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/machine_learning/memmodel/__init__.py,sha256=s6vOr8tt2dNSc3K0nsQ5XUutSguBUnrc6q2VqV2hWrM,1522
verticapy/machine_learning/memmodel/base.py,sha256=KKhHGXTiDD_TGUZjWSo-5ElpB8KIhG10v98hJ-9KHHM,4229
verticapy/machine_learning/memmodel/cluster.py,sha256=teNlkJrcjt-iCY5JlNcHUWDwrzjC0zF9Kuk0ACgrE4c,23033
verticapy/machine_learning/memmodel/decomposition.py,sha256=27oqvdoJ4s5gzTswdaxnwWBcL06VzVUbjA9Fw5JV7K8,7028
verticapy/machine_learning/memmodel/ensemble.py,sha256=VYJ6_dA34YeFc2_X_NwpTVHHxI5K5VVGXdwv8bENIGE,13555
verticapy/machine_learning/memmodel/linear_model.py,sha256=eBXf5IyooDqt-h1AjnbYJ6laj6Fv8vEaDs_U9xL-Q-Y,5733
verticapy/machine_learning/memmodel/naive_bayes.py,sha256=4ebWqutDBAOa1gfsHb00mgDfjD7q6WE6abDX8jsLbnM,7937
verticapy/machine_learning/memmodel/preprocessing.py,sha256=TbKXXahU2BdtXUJLJnKWtr1QqD3_umxvrZnIeiSWcl0,7846
verticapy/machine_learning/memmodel/tree.py,sha256=m2KbCUVcIuLjz-SJeFO9vBGWJ_W1qf17xIQEcSwiK_A,32737
verticapy/machine_learning/metrics/__init__.py,sha256=Y6F4CP9flhASJ0s6857Gpc_iQDNOZac0Djiwta3tGJc,4202
verticapy/machine_learning/metrics/classification.py,sha256=GbIAhjG8twC8MDiwreVXax-nONjsjaN4IwSCF4s9ics,86231
verticapy/machine_learning/metrics/plotting.py,sha256=Nl6EMuuV3sj8QDC7ZufNDklkuhZ8JVvQcZn52VlGWLw,9212
verticapy/machine_learning/metrics/regression.py,sha256=29FA2gRM0GVdMm1onjknuKuM7JQvR-9q_ibD2jcVdiw,15560
verticapy/machine_learning/model_selection/__init__.py,sha256=EcahM8RoZ8SNLG_GOZNGg2qWaXPsm4hdkcXLphvtkqE,1335
verticapy/machine_learning/model_selection/kmeans.py,sha256=hP2oO62LnXGtu_mdODvqyffDT7_akJnAVd2r7_NHDeg,10248
verticapy/machine_learning/model_selection/model_validation.py,sha256=siXZOVSwjy2HVQi-9ISBNeJFnIwUmvw62_qcrP5KmnM,19250
verticapy/machine_learning/model_selection/variables_selection.py,sha256=uqXMFNN8vPH5tbfCzC8VMjMn4ZHxM28X6mo50804DSM,21088
verticapy/machine_learning/model_selection/hp_tuning/__init__.py,sha256=ufzzz5fJQAZp7V3KcT3ltWS120h0q2MNRqqrDkdEw9E,1015
verticapy/machine_learning/model_selection/hp_tuning/cv.py,sha256=s_5PV-gLJ9RkbhICmQ5maQdNsisHkPTabP4yybwaE7I,32727
verticapy/machine_learning/model_selection/hp_tuning/param_gen.py,sha256=CVZV17mGR0PC36hWdX35o4zGKMGGcIpIJ13WJkjIqMM,27013
verticapy/machine_learning/model_selection/hp_tuning/plotting.py,sha256=TGY8hMOjJEkNJ5e7vVt6QNDJ-CVTTD9YRzYrqCjM_2Q,9934
verticapy/machine_learning/model_selection/statistical_tests/__init__.py,sha256=ySF6LDklG9izNctuw7HjHNV3yQgCNWfcWNyCdafTT4U,1145
verticapy/machine_learning/model_selection/statistical_tests/norm.py,sha256=k3Y7KrO82KUM6v2YiItHDqUQgedO7v3hdTRGOUIpHWo,4364
verticapy/machine_learning/model_selection/statistical_tests/ols.py,sha256=IrgZzssB7I-yUjdMJw7RFhJ8g7l0Jh--uXFgN1JbOrw,10547
verticapy/machine_learning/model_selection/statistical_tests/tsa.py,sha256=TAy1Cbw8mDeVubx90d9tuJbdgYnb0dAfqleg5s5qBAk,26038
verticapy/machine_learning/vertica/__init__.py,sha256=N7f4rXc1vHamQhSBS5fXwwnuZkNB2JgZgnldbkwnuS0,2015
verticapy/machine_learning/vertica/base.py,sha256=8YeVm_LlmfUpPf-eodmC8tLf5tfx4x_JZCR-C_6FDOY,103188
verticapy/machine_learning/vertica/cluster.py,sha256=OYxwHobSnY0qDi-UGdnZi3vbvfTcb7nFJsh6Phv6rC4,39896
verticapy/machine_learning/vertica/decomposition.py,sha256=xCdk4EoUTtyMJnWnpg76t-1UPmfZ5Y1RB1Xu4IHkPV4,27104
verticapy/machine_learning/vertica/ensemble.py,sha256=iEDIBzzppC7v6R5nxL8I-xFZ6Pg00ALFdHBnnAG__Tc,49711
verticapy/machine_learning/vertica/linear_model.py,sha256=ZMKrQXBeNMxQVJLe5YGk8eJyDHMP-FSBPsui3AQMyC0,23579
verticapy/machine_learning/vertica/model_management.py,sha256=YgDNYGchDUlDM2LycaIqgfxDl9FNFG9m5ZeRiVSTud8,6681
verticapy/machine_learning/vertica/naive_bayes.py,sha256=FwZc9jUOk0vChoaq6F2_XCoxiDPqIHz41uBjwRxogKo,8350
verticapy/machine_learning/vertica/neighbors.py,sha256=_-GGWu2KFR0aso26llco3aeXDcOpgmsLOcECttxWkTY,50135
verticapy/machine_learning/vertica/pipeline.py,sha256=4x33qrm57F-IhmFFI1rsoHYccanUZ-0X_4Klxb0myKw,12552
verticapy/machine_learning/vertica/preprocessing.py,sha256=3Kw2Hd32hpwquPtHSvzA5aAWZ1GnWfFjHKfVuBdNOYM,31920
verticapy/machine_learning/vertica/svm.py,sha256=f3nVf4cKzkBarSej5I8CE2rhaIhLmpEiGerndXHK8vg,9083
verticapy/machine_learning/vertica/tree.py,sha256=WLEp166_BHFOCnEY9Xv3LcUw9oeYRsM5DuOsR5s06mg,8120
verticapy/machine_learning/vertica/automl/__init__.py,sha256=yMGbaSPTLpZryKInUI3b1oFVBWMoL1yP_pWxOUbc1-I,842
verticapy/machine_learning/vertica/automl/clustering.py,sha256=aqPCzTEpzFUzkAt0wsuGxfUMuIGkT64N497AnIzycHs,7970
verticapy/machine_learning/vertica/automl/dataprep.py,sha256=lIgxpy-gIoe2ia10XuhfxLWOlbu5sg6wyRmpla2JYWE,15428
verticapy/machine_learning/vertica/automl/supervised.py,sha256=IlkF2Z5eT0RvGmwx0hOQlDaivzIxpQpgqypk5ld_yfI,29079
verticapy/plotting/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/plotting/_utils.py,sha256=WmNBRYdst_mglqdP0AETR0dG11DVsOHiBbTAHlLZJkg,4961
verticapy/plotting/base.py,sha256=tDdLnTbgEC6CIFliUxIHSIyI7yj6QGe1DKLl7tKzWYw,63624
verticapy/plotting/sql.py,sha256=zxDo1DJG1RFjSOGqTrZZ5bEKnEwBDpECw-Nba449TKQ,11132
verticapy/plotting/_highcharts/__init__.py,sha256=pOYaf9WFckoauKQfbiJcKMkwG8V8pwhspmpSYgSmS3o,2708
verticapy/plotting/_highcharts/acf.py,sha256=6PvEGucQxS2WzDQgjuiXOFfJx0TLi5XO9YOFyolB49g,4804
verticapy/plotting/_highcharts/bar.py,sha256=DcO5SIUVY_DRAoAEZcWE1If3UOZjRnGtz_gBb45n-io,6048
verticapy/plotting/_highcharts/barh.py,sha256=uv5fzCYrB3YuIedxWJQsIDUmeZ5FT4MwnlPcGXgdvUI,6711
verticapy/plotting/_highcharts/base.py,sha256=kHybFoJ-SHBak5H8gdrCPTKWa_EbFJVdQAHU--O0pT8,1852
verticapy/plotting/_highcharts/boxplot.py,sha256=zSNKBvADmMn2MPtRnnOjzVCU3BdziUBHNLeLAEqFvJc,3164
verticapy/plotting/_highcharts/candlestick.py,sha256=CxmD9VBHqZ5zj-1ajGJHukxy7lNg4aqonZhigdBLyfI,2828
verticapy/plotting/_highcharts/contour.py,sha256=UK7T7JPn6Pd3lm0cOZvZyZSjfr-I2uBC_gE-abYP9A4,3726
verticapy/plotting/_highcharts/density.py,sha256=aWbo1MoCSDIjfrqt7bXOIUkKARYbdqe-sM0OH9LYMMM,4185
verticapy/plotting/_highcharts/heatmap.py,sha256=IKF70gRC-nIninRsScHfR0y3akaEUJFo-6DEDqNalKg,5629
verticapy/plotting/_highcharts/line.py,sha256=spmbTCVEOl6thVckGAWdiu979PQUWUXNbtdvcZkELPc,6941
verticapy/plotting/_highcharts/outliers.py,sha256=qfKkwMT9DReZYm8TJRvePFOoWymntX6ylOJiZFBv7ro,4046
verticapy/plotting/_highcharts/pie.py,sha256=HHAm_pbDPoWPwo91d28tLn8Wz_oC-eNm3pNtqNkdBOg,8272
verticapy/plotting/_highcharts/range.py,sha256=J_eyZbMZb2uwoSBfuWOMjSDvYaRD7jFoSoisLZfakCc,2910
verticapy/plotting/_highcharts/scatter.py,sha256=bIqgOyc3v7OfyF2JZfjz5r5mNXpeVcOaWaut9GHjDXw,5549
verticapy/plotting/_highcharts/spider.py,sha256=IIv8B_sVYWLs1vS5s0OZDdr7a51xIKq3HED7WJYv-yo,2857
verticapy/plotting/_highcharts/machine_learning/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/plotting/_highcharts/machine_learning/champion_challenger.py,sha256=dkynu0ISJz3VZ-FHZ0M21yvJLYjBibg2Js2D45I3Kgk,3201
verticapy/plotting/_highcharts/machine_learning/elbow.py,sha256=1Vc4kU9Do60GZvd6Kfnt-m3ajZIkXVCfGYlYEM-UNR8,2406
verticapy/plotting/_highcharts/machine_learning/importance.py,sha256=N217Kfeo_KIcS0MWJ55yilKnzGoJwe1xVVlGfm0Jx3M,2898
verticapy/plotting/_highcharts/machine_learning/lof.py,sha256=h4vlWX_xUf938xBOkzIrZiBIMwK4wAITyUHUEBG2YT0,4062
verticapy/plotting/_highcharts/machine_learning/logistic_reg.py,sha256=EnqeowAaiPISEupwwIS5d4SqUlHhmQWAMs-3W3WY-bA,3047
verticapy/plotting/_highcharts/machine_learning/model_evaluation.py,sha256=cTdwHX_OhKxPlNwtVvB5L5Lq547tSYTySLoGk_DLUOE,5761
verticapy/plotting/_highcharts/machine_learning/pca.py,sha256=nhjbfZIubVWrJztiEC47M03Tv2ifkyuzjF90Lv6srbo,9000
verticapy/plotting/_highcharts/machine_learning/regression.py,sha256=shLenP2HwoORdM9W7DiKXLASR4aL4KPTCaWmn9fp-KA,3899
verticapy/plotting/_highcharts/machine_learning/regression_tree.py,sha256=4ZUGsFUrmpXy8BOpBANTAtZQEuSYSE8odYiRT89bYeY,2145
verticapy/plotting/_highcharts/machine_learning/stepwise.py,sha256=zvpd8ExHoDuRjivMRJ0Sf1NZd8yvxdK2pZmTqleAyFo,5058
verticapy/plotting/_highcharts/machine_learning/svm.py,sha256=z9q7ASXxi--sfxscV1Rjm1d7RL1mkDSO2LCbI8CF5Nc,4680
verticapy/plotting/_matplotlib/__init__.py,sha256=DpU76ilHHPtnUwAjq7Nx5yYH3LseNnc7XIgHqOx-daI,3120
verticapy/plotting/_matplotlib/acf.py,sha256=2Hx2REbsHlc003luaH1zpumhEu73EjAcf4r8_kYaDDk,5810
verticapy/plotting/_matplotlib/bar.py,sha256=D8dkkZelcVAo5sr_ln5A6jZ8OD7Pz2tgm98de6riO2M,4727
verticapy/plotting/_matplotlib/barh.py,sha256=6t705cBBrBjCpZt-n_RhnvUPejQXVLut55qmAcbYQR8,6737
verticapy/plotting/_matplotlib/base.py,sha256=XpLEw6zZ4s_YBulTmcPCdmH-vcf0ATz8GXgxRtwIL_Q,2963
verticapy/plotting/_matplotlib/boxplot.py,sha256=3gG9bKMk0_F5BTd9VA0msjDFJ7a8KjVbqnLqP7DPkKU,3602
verticapy/plotting/_matplotlib/contour.py,sha256=Wxo9w9HODM7Jk5etnJ9M8NBu-BCEw-7HJHdzyYhN7M4,3001
verticapy/plotting/_matplotlib/density.py,sha256=QUkOjAzBNPywGvPMrOQRcWNE1dymzg2RVfv140YlQb4,5108
verticapy/plotting/_matplotlib/heatmap.py,sha256=IKSEslqEWQelsa8PGqsRLGMEXzQheHCb1mEhS0HR75s,4164
verticapy/plotting/_matplotlib/hexbin.py,sha256=peONWE0JigihvtU3WpmTTxa6IEhK_eCzrF8KetKb41I,3102
verticapy/plotting/_matplotlib/hist.py,sha256=5653AChL1XTBu6gRlJhfHuseR84HtrPJaMid-1d6njA,2369
verticapy/plotting/_matplotlib/line.py,sha256=gxnBsqzzZalsidl85F7s4RKAdXp-3VgPXjhO13G3XbY,7993
verticapy/plotting/_matplotlib/outliers.py,sha256=Ev55mlRIpYe0UfRGAt_pRG4UzEmH2sRjULgAo79Q5Dg,4846
verticapy/plotting/_matplotlib/pie.py,sha256=e_I7MeUeyNhD2FePtHBpg_2GZPwE7V4TdETaD5Ug8Yk,10252
verticapy/plotting/_matplotlib/range.py,sha256=99x6l5e21qpR3hcQ90PGLzFXu6qYutcuePq5bNmvnc4,3849
verticapy/plotting/_matplotlib/scatter.py,sha256=kpkmtJtBnSWVu5mJHmcr6J0JVbqX854rZhtwbTagK3c,6893
verticapy/plotting/_matplotlib/spider.py,sha256=9Y-0srPJtFjCJA8wZJzp32Y81qBM-LPIL_fHv30QQY4,3238
verticapy/plotting/_matplotlib/animated/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/plotting/_matplotlib/animated/bar.py,sha256=0BZs8TKYsl1j0irrtO7WIWagXgGAe7W2KtJtn35iyQ0,7746
verticapy/plotting/_matplotlib/animated/base.py,sha256=Yw-An2ib2pOiLl0EhqQ3_ZCj7tcH-xkPw3Ko0SBDNbU,1214
verticapy/plotting/_matplotlib/animated/bubble.py,sha256=Dg5JQI56RNxQscMvH0qriZqhaWlazAFySKAtrgpaAvM,12197
verticapy/plotting/_matplotlib/animated/line.py,sha256=ipTVvAwLroqAvj39YFXJDhOMr4B23aiWenlImpaROzo,4330
verticapy/plotting/_matplotlib/animated/pie.py,sha256=igS30GulUonYj2F3OirQoEgfaPM5W0A8scMY0ZV-ncw,3273
verticapy/plotting/_matplotlib/machine_learning/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/plotting/_matplotlib/machine_learning/champion_challenger.py,sha256=nrrYSS-RzAxkc0yZUwUwUvzrLMFVV6w-NTT-eJfCIBI,8289
verticapy/plotting/_matplotlib/machine_learning/elbow.py,sha256=rjHtbFRADfRA_8nzw5IAFzjf7-HSsSs5gCOAJB8F9KY,1902
verticapy/plotting/_matplotlib/machine_learning/importance.py,sha256=bH1o_5kGTFufjolak_tWycbQhvgQR1iWi1rklOasqbk,2852
verticapy/plotting/_matplotlib/machine_learning/kmeans.py,sha256=AWFfLtmes3_r5ZTqSj04f1G1m76QRNt0WYGnev2TBl4,3986
verticapy/plotting/_matplotlib/machine_learning/lof.py,sha256=8twQCo0zFFrqjkfWCwpMSM-IpuqB6eH1Z5A7BVQ9gho,4719
verticapy/plotting/_matplotlib/machine_learning/logistic_reg.py,sha256=H7Ra4HSfKwnbkYmLQyYHJy2OSl9O2TNkRfPTK0GPRRY,6360
verticapy/plotting/_matplotlib/machine_learning/model_evaluation.py,sha256=cwDbyfFRtsVLoGPOv_r5j4NCdOA0Glbtu1K3B6x6pvM,7466
verticapy/plotting/_matplotlib/machine_learning/pca.py,sha256=DEQT8GjeTeVsuDmkF7ch2zrU7VNEFSL6Z9oeiecb8BQ,8952
verticapy/plotting/_matplotlib/machine_learning/regression.py,sha256=XREb7QQJehvdV0n7ZWwaVffjvgGLr0gnJWaMx6i1fl0,4184
verticapy/plotting/_matplotlib/machine_learning/regression_tree.py,sha256=zu_uDzdAApNQgky3pEhBBHUrlYH99u73eskBkPKXzk0,2595
verticapy/plotting/_matplotlib/machine_learning/stepwise.py,sha256=8nZa_4_IGV3sJJ65roD4jkynPOP8v_sM6mpN2Q7MgyE,4928
verticapy/plotting/_matplotlib/machine_learning/svm.py,sha256=eRRS0FoxIQZnu630FJlV_lE6kfdA-BXmSvKmDtMqKAE,6883
verticapy/plotting/_plotly/__init__.py,sha256=0Yj0Tp5omUztQnQW2y_td0HmFn7DwbVn4zSsEo6niNU,2795
verticapy/plotting/_plotly/acf.py,sha256=DWRy_Q5tUW9PqYNvtPenoDpRMYJq1FV7ZfiFpzguwFw,3573
verticapy/plotting/_plotly/bar.py,sha256=oedtcgUKJhoigu8gRZIYf64LS-Axr6XRIkrE1TtWzDg,3472
verticapy/plotting/_plotly/barh.py,sha256=BUGjVFR2GUq6ZEATeSozS1_OI_k7fHWGOI_GslouseQ,3561
verticapy/plotting/_plotly/base.py,sha256=xO2p_FSPeyTGKKh8A6vripRvuu4odryIiLCs2DJEr6E,3687
verticapy/plotting/_plotly/boxplot.py,sha256=2QCNPrfGLgjzW66oUMgfUYYzp3JNeimxmQ03xDD-XXo,7408
verticapy/plotting/_plotly/contour.py,sha256=VOxLtOzMF_jl6DkK9h4ZA1wCRCoZ8GujI1dR1ZkQIKU,3273
verticapy/plotting/_plotly/density.py,sha256=T_RMO9GvYVpxUYSTDvyy1ctkY33YLFU2w9oc1IWkEXs,2832
verticapy/plotting/_plotly/heatmap.py,sha256=m9AmI4f801b1n0kMVm1iq7uP4-vaEySwqMBYBqYnTGw,4714
verticapy/plotting/_plotly/hist.py,sha256=3lmL7SaNE6rRT4i7TdX1F235pESKXtuYkvq2kuDlfvg,2072
verticapy/plotting/_plotly/line.py,sha256=O1AmH1bqF9-waBowhgFTaGw_p9rPo5gUqffyg73MJcw,3596
verticapy/plotting/_plotly/outliers.py,sha256=TBGVUIeyqKrLsHgbWXaV5P7HTbyPDfpzL-6biVVMwsc,6022
verticapy/plotting/_plotly/pie.py,sha256=aj3-Snoms2i0xq1xVCHmYEbmFS7FUaa-NB_-B1Y8oj4,4011
verticapy/plotting/_plotly/range.py,sha256=zVJJrBW19O8jndr2HoeU0a1lUCMAPQSUw2DW5b0mTBs,2749
verticapy/plotting/_plotly/scatter.py,sha256=kqismR5JYgiyTZQpUW7-EalULFGSAYVgi36_Q5QVHos,3654
verticapy/plotting/_plotly/spider.py,sha256=d_uTQvp1QRknxyzg6vgfxi8bNG6nuGQMMbV5R98ghEU,2701
verticapy/plotting/_plotly/machine_learning/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/plotting/_plotly/machine_learning/champion_challenger.py,sha256=0IKMDsyePfBdmpq0jvkhwf8N7kCoDKIfcnepo6Zy9aY,5175
verticapy/plotting/_plotly/machine_learning/elbow.py,sha256=lx1yyt1nPgPkYaOuA-4guj8xBjp1nJCdZdTVRaF2cXY,2022
verticapy/plotting/_plotly/machine_learning/importance.py,sha256=vARJOd4ohpmwJGPV9-Zxtaf2vastMSB5EivT2RHAqa8,2856
verticapy/plotting/_plotly/machine_learning/kmeans.py,sha256=ep1koS7Ezl0fSisiaeS_JoLF0b9xwEbvm7IBcLbDA8A,6804
verticapy/plotting/_plotly/machine_learning/lof.py,sha256=SxE2kXDjKIwYbmD9u1RVvaHaUK_pP_ML5-CX65SRFbI,5301
verticapy/plotting/_plotly/machine_learning/logistic_reg.py,sha256=fGiutV9VUBOeXAxZGsUkcmT7fNANOXqczXzzFsanVdI,5965
verticapy/plotting/_plotly/machine_learning/model_evaluation.py,sha256=uhpVnZQyOvlKWMsulGNrzYMP7poPU9DmnzhjQfePrks,6764
verticapy/plotting/_plotly/machine_learning/pca.py,sha256=8-cwMtQP3g3SLdTev7xnUkpYwtiWLjYh68AUIbrDjTQ,2752
verticapy/plotting/_plotly/machine_learning/regression.py,sha256=wn9u7x86Sw4u8M2fc5fHMAxwRUm6UjgmUzfK_aLwQ6k,2753
verticapy/plotting/_plotly/machine_learning/regression_tree.py,sha256=ZgJGpNRzUTFN-s7Czc-W7uwd92lMOcugXYpkRG1BfT8,2820
verticapy/plotting/_plotly/machine_learning/stepwise.py,sha256=YLVNSdxndPaGiveapUpPU42NPgoizp7FOWJ8U3UogWI,4588
verticapy/plotting/_plotly/machine_learning/svm.py,sha256=HUpym_81216fhNF5yQ-o78l4-o-bF4wXFdOzz6FmDBo,6756
verticapy/sdk/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/sdk/vertica/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/sdk/vertica/udf/__init__.py,sha256=S7FSOKwnkTRLc7KXJlU5kb10A_p0g3gPVjGjOdnaq58,745
verticapy/sdk/vertica/udf/gen.py,sha256=xKZ_uEf6JvjRmAVN-5sHwkIdZUHjYFdXDAgN6RchOdk,11279
verticapy/sdk/vertica/udf/load.py,sha256=vawQYB-gq3GHB62vu40mR5hoT1LDTZW7o6zpCGD_3-I,3376
verticapy/sdk/vertica/udf/utils.py,sha256=AbkWrbhsByfdGgLf-SOlW6dXgybIlzPDskZkPV1jQuE,2937
verticapy/sql/__init__.py,sha256=GvXPzypX6T6oeN2j9LXwG5dzdb0BLt0ne5_3_gLU-TQ,935
verticapy/sql/create.py,sha256=EAkdrVa5qmWF6Zju9KU_Hs6YPcc4iVhj5nN_4CY4r_4,3629
verticapy/sql/drop.py,sha256=eBn4-cXP7f3TVAZu1Z_J3jxmYWao9UPFivGrGYSvnrI,6474
verticapy/sql/dtypes.py,sha256=cI4whJGWAovCJek2-IaIEALeGBZuTrr2zA9waSKH-lM,6418
verticapy/sql/flex.py,sha256=3xI2rRsEm6YP0uQWcRxz17OVfl_et6aLVJnka4Vo06M,6144
verticapy/sql/insert.py,sha256=25JbQWNDc0nm3eR8m329-G3TNLkQ617dCbdmyXWjbiE,4698
verticapy/sql/sys.py,sha256=N2kzeIGu9qsA8_A3qiITsk7FBoInGgy0rrO80cxkCZM,1183
verticapy/sql/functions/__init__.py,sha256=pnp-vWGgqkBwIeiTHqJkm_m_NcRPIPrexWEx2XheNTg,2244
verticapy/sql/functions/analytic.py,sha256=94lkoDxlawTuVnHIXC4OJvxq6iXzdsYjlexkLxNLa8o,8563
verticapy/sql/functions/conditional.py,sha256=FXe7o6wKqxpDIFy4uoIAhrAVsbxiwzLkng6kU0jihAM,2994
verticapy/sql/functions/date.py,sha256=DdMwB3vxFK-SD9vYewqOr_nEJvlckCnVpl6XpRMmCBU,9095
verticapy/sql/functions/math.py,sha256=v4yed6uYhhwi2DJ-DsdnRxU0G7CQILb-98zMU8lNHoE,14963
verticapy/sql/functions/null_handling.py,sha256=lcbiZDiULPdBDJvdsojM9zfCxxILp122ujF3xtHOSoM,2085
verticapy/sql/functions/random.py,sha256=7PUeVEzN3Tcj8DsdPeJCMq4nFXA-amZnHIebz9TnVqc,1478
verticapy/sql/functions/regexp.py,sha256=3OFwgq9Lk6ENxES_29qVD27z_OUywVRJRcpV_0DkwQ0,5681
verticapy/sql/functions/string.py,sha256=JJ3n4pBsu6cmCqrf7rLB5e_nExb54HhtRn9rFRJTAhI,5182
verticapy/sql/geo/__init__.py,sha256=m1uDz4AT0Gn8RntCU5TNISgJVrLiAjM3KADTri9TqJ4,817
verticapy/sql/geo/functions.py,sha256=0Nv4j-PGUaVzNG8mKh5hsasiiHzT90bfDoIfltGVKj4,5887
verticapy/sql/geo/index.py,sha256=hatis7aKf1k6aydxPwyg_SMRyZXKYU9430KzkvCF3zY,5225
verticapy/stats/__init__.py,sha256=xbRUVpDR11HHCB7gl-XCJmO_HiQl14DTdPdJD1cRgg4,2776
verticapy/tests/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests/base.py,sha256=Bt1_uI-GUQ9jfaZPt8zdnYsVpjSKrRbsRyj1IGonINI,7393
verticapy/tests/conftest.py,sha256=M4In6-lMnXD0M1-3OnBQBytLc6Q30NuXZZff4Qk4tGA,2467
verticapy/tests/connect/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests/connect/test_connect.py,sha256=q0rwJ5rzbJy-gDuLf_yOmUfAPu8v3g989rckJDXvY7c,2395
verticapy/tests/datasets/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests/datasets/test_datasets.py,sha256=4GgxfgBeR7g5pYTSYMaSJZfmqfc4yEPawatdAN7go00,3745
verticapy/tests/geo/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests/geo/test_geo.py,sha256=xGWgKGpZC3L4A8EBokHC7nE9dcBeBzgjLvb8_PuMYII,153945
verticapy/tests/hchart/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests/hchart/test_hchart.py,sha256=L7j9oMyrhR2wkXwQJyzOQREuVkOkG7cpSPJs_RTMTGE,5088
verticapy/tests/sql/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests/sql/test_sql.py,sha256=xXY8TIa1CTqKUHy4GvS1-llh7mxjo4nRAVTZhBdi5D4,7742
verticapy/tests/stats/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests/stats/test_stats.py,sha256=eqdsC4zLFLb0ujMJnpAIx2z490yjhagCEf3U5EycGYg,23086
verticapy/tests/udf/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests/udf/pmath.py,sha256=Kd2rJEvuvDP2NEMyL1GhhDemBZv4H_lMADVU_PwQbow,91
verticapy/tests/udf/test_udf.py,sha256=rb7vIIahN_xaR-buKGYtVVG8waIpgqLkIcy0vA2O1Q8,2489
verticapy/tests/utilities/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests/utilities/csv_test1.csv,sha256=2TM522kJUN6SuDNnaXauTSq-_WEFC4dwh3JMLeZ7Ty0,39
verticapy/tests/utilities/csv_test2.csv,sha256=NhrC5_5s9r8b9kVzVOPuHoe-uFxILIHNkokWbO0cad8,39
verticapy/tests/utilities/csv_test3.csv,sha256=8igf68wxGXg6UdU-dLo5wD_8DlEoCNjibIdr5o1ktew,39
verticapy/tests/utilities/test_utilities.py,sha256=Kct-NS8HYjn4w17eAjgb5Mq7CeFNVJOc0gwoqSHB9LY,38095
verticapy/tests/utilities/titanic-passengers.json,sha256=f3wPCiIBy3i38UJy6bU3hc4Wbl5zDRZEizfXI7ETgjk,315639
verticapy/tests/utils/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests/utils/log.py,sha256=Uy21KuqF5VEc_DgC4_Ttsz9ZOd1yqyo2eH3w3sVl5Yk,1501
verticapy/tests/utils/os_utils.py,sha256=4CCPLC-eELWNyUZNAN-dzTIPzvLcanRHelJDY-CzYMc,2273
verticapy/tests/vDataFrame/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests/vDataFrame/test_vDF_combine_join_sort.py,sha256=y05bAeNSgi_6CL4TuQtxEEIbEG3-MJbn5rmx2DnEsAw,13815
verticapy/tests/vDataFrame/test_vDF_correlation.py,sha256=j2GLoNp4KCL3GuXjv1NOzBQjfLV0Mr7e76nG1TAHbmY,21816
verticapy/tests/vDataFrame/test_vDF_create.py,sha256=MjOXAgoSW09_BHSGfK5lK4Iksb1qBz_13YOC1jmR2mU,3778
verticapy/tests/vDataFrame/test_vDF_descriptive_statistics.py,sha256=k7Htaer62Uto2aTcfV_mU_M_ZP8Efjtx__20biSB-YE,39755
verticapy/tests/vDataFrame/test_vDF_feature_engineering.py,sha256=baMWTL7xaminbHZMuzFawOYwpJLYklyxl1NnaSxorAE,31699
verticapy/tests/vDataFrame/test_vDF_filter_sample.py,sha256=sZPA-WufQeQ8NcjRpmaRx8CO7qUNWIZw7H_wJN4jXGg,6817
verticapy/tests/vDataFrame/test_vDF_plot.py,sha256=aj2IQ4zG5auACHBv3EGIbKYncib8Qkxh3e2rE29FQFQ,28742
verticapy/tests/vDataFrame/test_vDF_plot_plotly.py,sha256=YwiHNAfhqUZPVIRwr4SxIXiXf72jFPKJRxGZQn0gvj4,89903
verticapy/tests/vDataFrame/test_vDF_preprocessing.py,sha256=oh5evMvvdEiYdycQVES-f8crphytiPpkAe1IIVZYyYQ,18302
verticapy/tests/vDataFrame/test_vDF_utilities.py,sha256=NDA721-D4rB4yLQBHGKZUmPDznQ255NJMQZOjhoNg3E,23013
verticapy/tests/vModel/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests/vModel/test_balance.py,sha256=WsbWhD8n4KhP6peEVEtmbXxjwHNZoTNqlWzm_eqpdnE,2931
verticapy/tests/vModel/test_bisecting_kmeans.py,sha256=Yg8SolZEMlKBzkX2IOMJ2mx6mdVkNBel8pIitSYI3zk,9141
verticapy/tests/vModel/test_countvectorizer.py,sha256=9G53EBpxoS3x0HF_j13OEkGGAqqn0KrpWnhDaco8duQ,4631
verticapy/tests/vModel/test_dbscan.py,sha256=ezlC3I78hdxAs6pZgNoxCgXtIqVaG-BoM89gt9HjwPY,3365
verticapy/tests/vModel/test_decision_tree_classifier.py,sha256=MyDCw22FRQ8lwXYLwf-1_PXjU5m2s6ekpKN0o8lL6V8,19096
verticapy/tests/vModel/test_decision_tree_regressor.py,sha256=nTUHIHTVjKyVpKHmWWAeV4UcVaMoKTqJ4MzV0uOAPxw,12759
verticapy/tests/vModel/test_delphi.py,sha256=ScvpvEC5PyZiArYidMH-vko-90pjZz7nME9m7bb3qQQ,5009
verticapy/tests/vModel/test_dummy_tree_classifier.py,sha256=wJHDiBC3V8neYnixpF68WMzShg7Bc9jR1GJCpbI8LjA,18686
verticapy/tests/vModel/test_dummy_tree_regressor.py,sha256=Ey7DOsxkgTkDwAU16Of6X0TW1amxwjx3xfoqNzlqw6s,12340
verticapy/tests/vModel/test_elastic_net.py,sha256=oRSTty0K2fTXxJ-pf_epO3ixb39Ylj-6rBfF-c5465k,12735
verticapy/tests/vModel/test_iforest.py,sha256=xnKgSmGDaeJ5tvBZ603NCw8PH90fB0aiurRLFgdgu4Q,10448
verticapy/tests/vModel/test_kde.py,sha256=YZNE_mKZP-Y-0vkhec7pZVfHMGJWATrveNvy9OFEY-s,3825
verticapy/tests/vModel/test_kmeans.py,sha256=ipJEp5aaitXQcbivpfIre3bA1zM6a70l1Y-9FyzudNo,8659
verticapy/tests/vModel/test_knn_classifier.py,sha256=EPGpHufrE8VAApnu_EcUPj90KClC_A7wgszLJvQZsO4,8857
verticapy/tests/vModel/test_knn_regressor.py,sha256=Xek9JMvxMmW7gis3aZ2pHHuc2zeZzATuyQoAa8reiG4,7290
verticapy/tests/vModel/test_kprototypes.py,sha256=3s2TRhcAZ7QhvYXr-ImzrqVt-8lPKU9LTG7TdLjxQ_w,8100
verticapy/tests/vModel/test_lasso.py,sha256=dAt0sF5F8hwBK0T53LMhnrc7wszOzjVpsmv_uXIhMWY,12691
verticapy/tests/vModel/test_linear_regression.py,sha256=rywi3xrCSnbNKnkN9aPlDbc0GLfTeVB-_UteqZk8ccU,13474
verticapy/tests/vModel/test_linear_svc.py,sha256=h_-kBJcmSCrZYF6kF7tpuimw9f0mi5k3zpYy54usWdw,16487
verticapy/tests/vModel/test_linear_svr.py,sha256=ZO5FbMqhK-ZAxZuTiIjaBNoX4eVmYOb_VmhoY9mzU1Q,11833
verticapy/tests/vModel/test_lof.py,sha256=ZXM47pAJS7us8zXodbNOP0DLOd-kAHMjV_jn3q3YHMY,3944
verticapy/tests/vModel/test_logistic_regression.py,sha256=AVYgC2HZ9H288zL39F6uXau-nRrs3ZSipxJ3_h-qRgc,17848
verticapy/tests/vModel/test_mca.py,sha256=gp3kEB_J1IdrC-s1FqBk5zJLKzqBJa5kmWrrlH4p1qU,7815
verticapy/tests/vModel/test_memmodel.py,sha256=cdJS1kEnj9CPfjtxLvkIBBqbiIwSVhn0pz0492JjPtQ,62066
verticapy/tests/vModel/test_model_selection.py,sha256=CbvaFaoi57A2GE4bDWNKunp4Rwu85D4wPujgzWL2AF8,15146
verticapy/tests/vModel/test_naive_bayes.py,sha256=58vt5N5uQpQz_PPPct_Ilw3wWsuwt-Rv2_4eAYbRxWQ,19111
verticapy/tests/vModel/test_nearestcentroid.py,sha256=NA9G5IBiJiOzdTyVmHJfRm6leShqdHbDX7ctuVpuNzQ,10069
verticapy/tests/vModel/test_normalizer.py,sha256=glpRL0u1HI7M7s8MkPZk9BYUHAUkjNdwa6UF3OuHs_g,15958
verticapy/tests/vModel/test_onehotencoder.py,sha256=lj6rr9sPtv9_dLaGWSjAA4Sgyzi_zQEWgluB7MIkBHI,8902
verticapy/tests/vModel/test_pca.py,sha256=TkMmH8RHrso5kz3Er8i2J7ey0NzeMbQrpZrO_UdJgM4,9303
verticapy/tests/vModel/test_pipeline.py,sha256=WOlu9h3ZmFtq6dmSgFCsB9amOVwVhLbLMxhodVVNt_E,11513
verticapy/tests/vModel/test_randomforest_classifier.py,sha256=9uJEKCVxsy0mm3RVj7zcbxbEkF4AwR-MdK1cflzA_Tc,19515
verticapy/tests/vModel/test_randomforest_regressor.py,sha256=3kZNE326-6DlRk4SrQYn7AeRyvRCW3Dm0CY0zP4pYXc,13874
verticapy/tests/vModel/test_ridge.py,sha256=Z56ZQ9GbDmFJjPSHXZtnKVDz_32CnR63gYKd6F18aso,12844
verticapy/tests/vModel/test_svd.py,sha256=tDxejqYOEq9FPaK1uRB2CfaSq2Y0kyu9wxCetYUBIWs,8835
verticapy/tests/vModel/test_tools.py,sha256=qSWQa7EvNnswM3rqLZLI0lZLxWxVWvQS-jZWBBNlqa8,10874
verticapy/tests/vModel/test_xgb_classifier.py,sha256=xWm3oe5ElfVq3PS1yImDLwXcxBeXvvi2CvsPaXPjjEg,22862
verticapy/tests/vModel/test_xgb_regressor.py,sha256=E51lLvQ3iMuSCaUVYJgCLn2GqsNpthKiBV2bPcstRqA,18216
verticapy/tests_new/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests_new/conftest.py,sha256=iBtqymsOmRhDF3hLXWox475qRufLnpb7i3P76bLAH0Y,11711
verticapy/tests_new/config/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests_new/connection/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests_new/datasets/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests_new/jupyter/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests_new/jupyter/extensions/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests_new/machine_learning/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests_new/machine_learning/memmodel/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests_new/machine_learning/metrics/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests_new/machine_learning/metrics/test_classification_metrics.py,sha256=uoXrOZ8PvjhztOuwrYOpEUJa22sPpn45vdbNgXaZZ8A,18299
verticapy/tests_new/machine_learning/metrics/test_regression_metrics.py,sha256=11XiGPjnNlml5pk3W5v9Y5ENQUzXSj1FYz99WNM7yuA,10239
verticapy/tests_new/machine_learning/model_selection/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests_new/machine_learning/vertica/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests_new/machine_learning/vertica/linear_model/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
verticapy/tests_new/machine_learning/vertica/linear_model/test_linear_regression.py,sha256=nXdwfOsbviQCXhRXLma9xSQjUnBZ_ZiKgRb-oPE_A80,21152
verticapy/tests_new/plotting/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests_new/plotting/base_test_files.py,sha256=QuTY8_e6u2IaLZVvkSISGYXa8dnF1GQNrjyzQy6dciI,56294
verticapy/tests_new/plotting/conftest.py,sha256=UZRz6qIyRtP0v6ZhLUXj8_fCMPiOKKv5GhxoM81wMs8,1644
verticapy/tests_new/plotting/highcharts/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests_new/plotting/highcharts/conftest.py,sha256=mqqcHC0eQBdBccKrwGWm1WnEAkNBVPV-v5_8AzOHE6k,1183
verticapy/tests_new/plotting/highcharts/test_highcharts_acf.py,sha256=V-LcGpQXLvBvvFml2P91zaJvnOsZQfQzjcThw9sIsxc,1683
verticapy/tests_new/plotting/highcharts/test_highcharts_bar.py,sha256=3jNqtiTIbY9HD-weTx9-9d0MhyArk4kHIVu8DQgTa0g,2551
verticapy/tests_new/plotting/highcharts/test_highcharts_barh.py,sha256=BaNHyDtSe5o6BbZuistN6gzNISUs6VKYgXiD2W0b3VE,1948
verticapy/tests_new/plotting/highcharts/test_highcharts_base.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests_new/plotting/highcharts/test_highcharts_boxplot.py,sha256=i8zKqnqGrMG4AJzaS3olGLSqnn08KcgDDs1-yTVm3Ac,1478
verticapy/tests_new/plotting/highcharts/test_highcharts_candlestick.py,sha256=CMFrc8Q3tCYhXUmSSfvefnwgG9GYnCWgVZHw6gu3tRc,1909
verticapy/tests_new/plotting/highcharts/test_highcharts_contour.py,sha256=PAr_os5Vnfr0VyeZjyTGiBlR20zg_dY09bO9Gevf6Bc,831
verticapy/tests_new/plotting/highcharts/test_highcharts_density.py,sha256=394LtVUjGTAM7I8aV5IjiFgF-0sgJzRaNvEl-R0ozt0,1201
verticapy/tests_new/plotting/highcharts/test_highcharts_heatmap.py,sha256=raAhAUCxu0B6bfPLmW83JMsVTf01lsm2mAogNeyNCVM,1055
verticapy/tests_new/plotting/highcharts/test_highcharts_hist.py,sha256=IT52SJXazG3LcXU861WunnhVnR-JzsEXyXvMzPO6c5I,1178
verticapy/tests_new/plotting/highcharts/test_highcharts_line.py,sha256=UcbC10oy1rsA33c-3pok0QawHCbnql8mxKCTwex1keg,1382
verticapy/tests_new/plotting/highcharts/test_highcharts_outliers.py,sha256=2vyurW6dawDreYjP49S6Ihlk3Hm2-73VuHTN8VL5dEY,1550
verticapy/tests_new/plotting/highcharts/test_highcharts_pie.py,sha256=88MuzvjuQxzZw91SMnLs-8SEqVqOtRld22m5HOIac7A,1563
verticapy/tests_new/plotting/highcharts/test_highcharts_range.py,sha256=p-Mqxudr-XPSt0W9pNhL0jIug15c4q81di0aECuPopI,1045
verticapy/tests_new/plotting/highcharts/test_highcharts_scatter.py,sha256=iJJSsr4oqY1LhS7MOu4hPhSuggpDUgkwraRcfClz5Jw,2639
verticapy/tests_new/plotting/highcharts/test_highcharts_spider.py,sha256=CMqKvsxd_coyjD95soHMVSVKlCvDIxL0RJjgQbp5F6o,1195
verticapy/tests_new/plotting/highcharts/machine_learning/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests_new/plotting/highcharts/machine_learning/test_highcharts_champion_challenger.py,sha256=CsphN6cm383A-_s00tRkt4NImI0JugfNF4Fx837pOMI,868
verticapy/tests_new/plotting/highcharts/machine_learning/test_highcharts_elbow.py,sha256=85ram3pUeppDGVo1aI9cwfLjIe3-dwr841XeIEW3SOM,836
verticapy/tests_new/plotting/highcharts/machine_learning/test_highcharts_importance.py,sha256=T8B7_oHv99L79nEAr64BunqsJnZozRx3Pl7ff9g5PSM,1137
verticapy/tests_new/plotting/highcharts/machine_learning/test_highcharts_lof.py,sha256=fK4L_-WJHhygvr4ZJtYXsHosv3lFKf2WAK1dhFpnKHQ,1045
verticapy/tests_new/plotting/highcharts/machine_learning/test_highcharts_logistic_reg.py,sha256=G2z2dASaGVSc3sFXSQgsOSocM9oxm8luMIBSyNCIGaY,1341
verticapy/tests_new/plotting/highcharts/machine_learning/test_highcharts_model_evaluation.py,sha256=q8V9bkzsk3T6sIhD8QW-ZRGUT3irPOKZ_eYCjH6S4v8,1598
verticapy/tests_new/plotting/highcharts/machine_learning/test_highcharts_pca.py,sha256=hpNGpT3xpnevFCbkiay8hZSUKPwEeKwhRbqTH9G-H14,832
verticapy/tests_new/plotting/highcharts/machine_learning/test_highcharts_regression.py,sha256=mKzEW1Xn3nvFualBghS4vHUlPGD7TJWcGLCOaZaqz08,1188
verticapy/tests_new/plotting/highcharts/machine_learning/test_highcharts_regression_tree.py,sha256=Gu6hUXAkmG_dOO88_q8ZkBGyn1wh2Em5-h-eqDcPe-g,856
verticapy/tests_new/plotting/highcharts/machine_learning/test_highcharts_stepwise.py,sha256=VF_oBnLVS8_GH_IiFmot52_ZFQLQDIymCdHvCOlhnYc,827
verticapy/tests_new/plotting/highcharts/machine_learning/test_highcharts_svm.py,sha256=WXC4L6YzbbP0yQMnRbDYspYIZmZnd08ByC85muitmEU,1303
verticapy/tests_new/plotting/matplotlib/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests_new/plotting/matplotlib/conftest.py,sha256=wreVESvCJg-ehlIkaAnnmLl6SpH2P5wwEePHvYJu-LA,1151
verticapy/tests_new/plotting/matplotlib/test_matplotlib_acf.py,sha256=xpwv7v-p5OXR-JtXrSv4WDI93-8iRR0iDBDrZ3cPvxE,1896
verticapy/tests_new/plotting/matplotlib/test_matplotlib_bar.py,sha256=1XPho6UL-lczoHQwyJzRBuYpr1RJ9XQlSUKiu-HuVyQ,2949
verticapy/tests_new/plotting/matplotlib/test_matplotlib_barh.py,sha256=0nzPLhwW0ULa6e_GpYMJ5NEfdFE5IQ6HSFtToOeJTsE,3186
verticapy/tests_new/plotting/matplotlib/test_matplotlib_base.py,sha256=EXuydiGExh6zrXH9zPr0vQZyqUy-Pxe8qWlmFII5gWE,1950
verticapy/tests_new/plotting/matplotlib/test_matplotlib_boxplot.py,sha256=oqkwgevuHIJ9-uO4CvBP-_IJ-WRaKLokYoKqYv52E0U,1433
verticapy/tests_new/plotting/matplotlib/test_matplotlib_contour.py,sha256=uQdJmNPgbSgH1VEi8uvXeISG-CScwdcLWKJamUhFhug,831
verticapy/tests_new/plotting/matplotlib/test_matplotlib_density.py,sha256=L06z7sjcvmVvb_ZKhGUFXWSQret6844-M6O2988dia8,1519
verticapy/tests_new/plotting/matplotlib/test_matplotlib_heatmap.py,sha256=U8olvJ4QGPB659IHjboZR27pIfSigkOqkMUdnwFMrxs,1653
verticapy/tests_new/plotting/matplotlib/test_matplotlib_hexbin.py,sha256=V1LkWn1sW2f-MR4HCIaRcx9bNm0oFR46765x9UTFY5A,4109
verticapy/tests_new/plotting/matplotlib/test_matplotlib_hist.py,sha256=7Psuvijuqx1IyCL7yqelc1UYlideyVeVGZVjgaIEmL4,1012
verticapy/tests_new/plotting/matplotlib/test_matplotlib_line.py,sha256=l4ZS1PrTc1wa6877nshdytyGAqy9uuQJKFmNJ7ZfgrU,1510
verticapy/tests_new/plotting/matplotlib/test_matplotlib_outliers.py,sha256=m4WlKS1nyy9cD6UZAwVCvtQ2_ZhRerjcvqAmfnAeI70,979
verticapy/tests_new/plotting/matplotlib/test_matplotlib_pie.py,sha256=MQ8Kb4OPe42ssEpC7BKvjVFMEvBGe2mQYBPagVSiGR8,1890
verticapy/tests_new/plotting/matplotlib/test_matplotlib_range.py,sha256=Kn0jvLuG21d_rej0ih5p10OwoiOwJCsLT-3pDvUAsAQ,1490
verticapy/tests_new/plotting/matplotlib/test_matplotlib_scatter.py,sha256=gh1rxqcMPsJHQzGxYL5ZF7pkBAEkmGNCDboQlTlw1Hw,2675
verticapy/tests_new/plotting/matplotlib/test_matplotlib_spider.py,sha256=BJRY7IcRUovH0o_0tSW728QvKHEnmEBl31BtgLEZ-5I,1352
verticapy/tests_new/plotting/matplotlib/machine_learning/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests_new/plotting/matplotlib/machine_learning/test_matplotlib_champion_challenger.py,sha256=FPMOgTt0JkZjgAADz3ao_hzT5E96GUkGOr7SYaVlZAM,860
verticapy/tests_new/plotting/matplotlib/machine_learning/test_matplotlib_elbow.py,sha256=85ram3pUeppDGVo1aI9cwfLjIe3-dwr841XeIEW3SOM,836
verticapy/tests_new/plotting/matplotlib/machine_learning/test_matplotlib_importance.py,sha256=501XZjzFFN8cshUeUBgKaXPkbvQ4nNTCj5T7GK13JC0,1401
verticapy/tests_new/plotting/matplotlib/machine_learning/test_matplotlib_kmeans.py,sha256=fyAWgALejbPAs2iWotLvAJkD6aLhIZwR38lzx2EY62s,3267
verticapy/tests_new/plotting/matplotlib/machine_learning/test_matplotlib_lof.py,sha256=1j4-PWqpwdYdPyNWxt7NV1UZTLUUoTqn-WWjBIsXbO0,950
verticapy/tests_new/plotting/matplotlib/machine_learning/test_matplotlib_logistic_reg.py,sha256=yjD7XxdG7ksyuZ0o65AYipIQ96jAzpU2tHUeuGMZGQI,1638
verticapy/tests_new/plotting/matplotlib/machine_learning/test_matplotlib_model_evaluation.py,sha256=7asrpDXCH8zSb3T2PKachDC7lOSQgL8wzTt-LZ--lx4,1278
verticapy/tests_new/plotting/matplotlib/machine_learning/test_matplotlib_pca.py,sha256=Ar-QhCrl3YL5OT1BCiUQ7d5c3D5xoIrnWHmTxxwMPwE,832
verticapy/tests_new/plotting/matplotlib/machine_learning/test_matplotlib_regression.py,sha256=M_FxPL1WitmgrAzfB7jXstKXcUNpZ2AEvJyWqhMV0rE,1199
verticapy/tests_new/plotting/matplotlib/machine_learning/test_matplotlib_regression_tree.py,sha256=uCOsGi2MAV3noiPUOY_tYqkE6TeAHapYvJ8hFhO2Umc,856
verticapy/tests_new/plotting/matplotlib/machine_learning/test_matplotlib_stepwise.py,sha256=tMFFvLK7Wmjf4fnp7GQORiDay9z5q79qpKj448xnreE,827
verticapy/tests_new/plotting/matplotlib/machine_learning/test_matplotlib_svm.py,sha256=9pCYrbdpH26OG-ggDy3dbrYO1hjE1kwtRVoVQMQhR4Q,1392
verticapy/tests_new/plotting/plotly/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests_new/plotting/plotly/conftest.py,sha256=HxSJzErdDQQuyHeNSHOkeAdhaLYty4BNW-bXswEB0nE,1072
verticapy/tests_new/plotting/plotly/test_plotly_acf.py,sha256=K2gL1-C27khMkjloWBqI76T6YjTmG8GMYv8o-aspVok,2707
verticapy/tests_new/plotting/plotly/test_plotly_bar.py,sha256=T1bZuBNNE7ubmtswi8Z3ILCmN7RxrcA9ZGR0MPk6yOc,2958
verticapy/tests_new/plotting/plotly/test_plotly_barh.py,sha256=AfyOUknUOO9VrNdrAQqY_3ztQM4Rkk-Y_fPfjMC9Pwc,3992
verticapy/tests_new/plotting/plotly/test_plotly_base.py,sha256=ZE0i4SQk7EeVy0RsfE-bvjXM0ogqBxJxTonnu3TZTSo,4706
verticapy/tests_new/plotting/plotly/test_plotly_boxplot.py,sha256=L-bPRSE95lJn3a7NGuvV6WdruZ9XeFV_nBibztOZTlk,6427
verticapy/tests_new/plotting/plotly/test_plotly_contour.py,sha256=PPB7ea3LWvPb8Eb0hwVLlowyqESGqFJfSNmdNF_c6G4,2063
verticapy/tests_new/plotting/plotly/test_plotly_density.py,sha256=BII1Yv46b3LO4EwWwQ7zLsV_Kw17oRPpOO35UdPLLmg,1673
verticapy/tests_new/plotting/plotly/test_plotly_heatmap.py,sha256=VFeswf0q6gwfThs52Yh3697RrLrcVxLSf06EvcJWY3U,3151
verticapy/tests_new/plotting/plotly/test_plotly_hist.py,sha256=qdjIUk2JN0x13CKZhLGWbAWi7aq0-EWyomCsBXy-Eww,1330
verticapy/tests_new/plotting/plotly/test_plotly_line.py,sha256=9ppNJokm-oSswrTvwazXMdCivOLWc8DrWrM-n92_rCI,2647
verticapy/tests_new/plotting/plotly/test_plotly_outliers.py,sha256=9i1nwkLvOOXDICgPVgxPEHYUfKuVBf114ib1V0Y__sA,2869
verticapy/tests_new/plotting/plotly/test_plotly_pie.py,sha256=NLCLDIuY9aiTBKhLYSkSLptpBwPEb2qOsn4Pcdldfgg,3011
verticapy/tests_new/plotting/plotly/test_plotly_range.py,sha256=nf-OyaYH3QsMiHSoITQ_4ueemp7hcYw38ZU4KXPAVzs,2779
verticapy/tests_new/plotting/plotly/test_plotly_scatter.py,sha256=OF1eL6DaPa7vTG5jJ6dl1GBYUwAOp_xHNp2F70rr2Lc,5600
verticapy/tests_new/plotting/plotly/test_plotly_spider.py,sha256=3gMtfhyxOZ1E7Xmv8Ullvwm4YARzEF9XbU57nzl250I,1873
verticapy/tests_new/plotting/plotly/machine_learning/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests_new/plotting/plotly/machine_learning/test_plotly_champion_challenger.py,sha256=1beSYY2b0fy7pe5lKFUom8GcCD1dXy4hEblpqSSrhoQ,864
verticapy/tests_new/plotting/plotly/machine_learning/test_plotly_elbow.py,sha256=slAanvvHJrVZdI3lwv15RO8qMoI2rN5hvpQZhrBD9XU,1186
verticapy/tests_new/plotting/plotly/machine_learning/test_plotly_importance.py,sha256=Nfm_1ouh--hAttiHL1PZRA_1c-GhXH64IkcfPyqQbbs,1270
verticapy/tests_new/plotting/plotly/machine_learning/test_plotly_kmeans.py,sha256=HR7PnNdFEEnBF1IMGbqP0jqQ1vRHdrr_DPBGaQZchRI,1155
verticapy/tests_new/plotting/plotly/machine_learning/test_plotly_lof.py,sha256=pA8Lu2fQ1Y-9DwkChLwIbLdPe8M9eoOwwFL41qevRRw,1696
verticapy/tests_new/plotting/plotly/machine_learning/test_plotly_logistic_reg.py,sha256=-dgUxXzqWe2zi7LQ9dnTkHae1jtiCi01883dFS2QUb0,1626
verticapy/tests_new/plotting/plotly/machine_learning/test_plotly_model_evaluation.py,sha256=xuICHXwanrXRb0Sc7p6QIbffUk_oc3z455bGmldV2DY,2297
verticapy/tests_new/plotting/plotly/machine_learning/test_plotly_pca.py,sha256=oIm738lpdSL3PCpByMpTC7u0_E3vGVC3-nqP0N8VHNk,1066
verticapy/tests_new/plotting/plotly/machine_learning/test_plotly_regression.py,sha256=6Shn0XRzHMsTcwtHQbAQqXLFGZmxmuiX5nTBy938XmU,1472
verticapy/tests_new/plotting/plotly/machine_learning/test_plotly_regression_tree.py,sha256=j0bfy2T58SMr0GrfYO0KHtrVp75HKSbKMYSyjkOYjCU,2092
verticapy/tests_new/plotting/plotly/machine_learning/test_plotly_stepwise.py,sha256=3ke8dfR8MsTgVHfzbkmkIJ14T8YBT5Y3_qP5Gww0gHw,1569
verticapy/tests_new/plotting/plotly/machine_learning/test_plotly_svm.py,sha256=DZW_Al9d9OMZSq82vcqN1NsOPcBYKRrHObGtX_0KQCA,2846
verticapy/tests_new/sdk/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests_new/sql/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests_new/sql/functions/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests_new/sql/geo/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/tests_new/utils/__init__.py,sha256=okE8MgatvqNxAGDI_Q8ul9VNl8CqoxwIEIRrVk33RyU,614
verticapy/udf/__init__.py,sha256=_afffEhgrZbMWQBPPS01BoqAYRdHNKNuAonu_oYed3A,685
verticapy/utilities/__init__.py,sha256=qPsDZHbx23a_IU7hzByHmxASR0FyGFl_Ec9pN3trEk0,1542
verticapy/vdataframe/__init__.py,sha256=6O7SF00A_WoAfduqUu1JEDP28Q3g963Ls0NOn-NO1vA,681
verticapy-1.0.0b2.dist-info/LICENSE.txt,sha256=LgHIzYa4ceA7STHs7ZZzm29YfJ3hLm4RfMjqud9qYfE,11342
verticapy-1.0.0b2.dist-info/METADATA,sha256=4wwWcpVrnj0lXjejqvyCEmHVtITNrYDQIEXpiDhVTxI,20589
verticapy-1.0.0b2.dist-info/WHEEL,sha256=pkctZYzUS4AYVn6dJ-7367OJZivF2e8RA9b_ZBjif18,92
verticapy-1.0.0b2.dist-info/top_level.txt,sha256=n49zTIPqzTWqc3QxYDvFx1F4UkWhaxEl5H0GLU9u2bk,10
verticapy-1.0.0b2.dist-info/RECORD,,
