CHANGELOG.md,sha256=_SCmIkEz-tW052BEmbpiaI8Hr1rxJhD63hqWFYLN20w,12672
CODE_OF_CONDUCT.md,sha256=ofXvcO_WykhvuhaVLaxcsToFMkoYifPF7ZZO45QsY6I,5219
CONTRIBUTING.md,sha256=VAevrYc2xMPzdxMbIZ3Z2TTz4nnvdsITmvh9rxUHHps,12674
README.md,sha256=pJzCvDMcpPsL7I_FKrLvYEPivsvGy88AKhYMhTzfYL0,9594
slickml/__init__.py,sha256=bUrAKBSLYIye6U5xLXLuU6vloTsfd2W3G7GAC379Np0,73
slickml/base/__init__.py,sha256=RaqnOuAwOrWG9sB13TL1G8sHjKh728TuBGhTV2dhzV0,221
slickml/base/_enum.py,sha256=Y-wrpowosHvZdHtURhYmCiWAcYhcDDvYGzy8M4qT5xE,1637
slickml/base/_estimator.py,sha256=aQBN1TiI3Z2CUGD-yztWjd9Cj2ZYzCPN6ntY-LXykVs,11007
slickml/base/_metrics.py,sha256=tLXaL7B6VgXd-nH02ydXO4zMDNK2900ViyTcghczpBA,1038
slickml/beta/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
slickml/classification/__init__.py,sha256=yf4UEM3pTiacfVoWqGiz0-NQgXnEeo5X1dEj9Zgj84A,283
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slickml/classification/_xgboost.py,sha256=Za_ap-TIRWAwVZdnQJEtmq9dq4Z83ZlURQMQeg752q8,26996
slickml/classification/_xgboostcv.py,sha256=MFfUY2SL0U8aYvl6mhwl1_IXR91NOBkZM2L3rtU4Fk0,17225
slickml/cli/__init__.py,sha256=eSaO8s7EeRGyRcG9K0-hHQYrxbyHf2kSBE7DTN8uAtc,59
slickml/cli/_cli.py,sha256=v7cBm256S5tgPJ_pgfwxEBdRSVb-QVqjvh9mZ2q-pXc,4545
slickml/metrics/__init__.py,sha256=sCpeaiIgsie-Fwt6V7k2zX6N3mGcffYlVRKcDllhU1U,205
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slickml/metrics/_regression.py,sha256=Xv57a1usppHysxnK6S_kcH2dk7-EQM14v0PKmlyYSQ0,17806
slickml/optimization/__init__.py,sha256=aNNIonzpkw_6c5z9KlpxTA7x0eWCE1U6jKrTA65uAiY,212
slickml/optimization/_bayesianopt.py,sha256=lCsmAPum6mmWw-uadrU_0X3-Fv2OsgM6rHaQ0-WZkYs,20608
slickml/optimization/_hyperopt.py,sha256=hDcwbfQtqkNYvi6JFWtEdSu_Hgda5wNtSz1iumHka80,16936
slickml/py.typed,sha256=s-RN_T2-TWN0sI9l9UE78Vv5CLXAQavZYuiQrVmy7TQ,55
slickml/regression/__init__.py,sha256=z2lHg4qiW1IxkSv9so5LBOMhruay8AiN1mkq5k2dQX8,265
slickml/regression/_glmnet.py,sha256=0BdSiJSBQjdZ2uDGeQ7fjQfb4AwtPJi-JO_F6eoZtNQ,40847
slickml/regression/_xgboost.py,sha256=iSxLS4JgUV7MvX2DS6rKD5U1j--Vs5G8vCtMMirtmYA,24130
slickml/regression/_xgboostcv.py,sha256=TQGYK716piU_IP7xmnnfZeOqlPYEk5q3pHjmS3IN1qY,15682
slickml/selection/__init__.py,sha256=YVkA1yxQSySWyzOP498CJ0Ts4gWVGseodZifxVmvg8U,107
slickml/selection/_xgboost.py,sha256=oIcdRWqi6xAfb5UqeODWP2yWgd8StjylgbDpv9i31PY,38687
slickml/utils/__init__.py,sha256=CxkWB00cqlloTO6PfBU4hu9VLL-Exbh04w9RVPqA44Y,404
slickml/utils/_annotations.py,sha256=hp8I9EZm69qEWOWqtve2TGwbeF3NyIGV10UCAmnowyc,2817
slickml/utils/_format.py,sha256=aVYF4ZDJay5iQycWiW3HYlgoOvDbdQ5wWgXy8e73NDY,1750
slickml/utils/_transform.py,sha256=RGlmKk-kIA2R8m2tveadoMIBf51tkZ8aIF5_DMiWHI4,6944
slickml/utils/_validation.py,sha256=GqJMPgArBj3iwL2k129XeNzFsqzCPpCrvoCsHDVJn38,4195
slickml/visualization/__init__.py,sha256=iuNJvhaUGGha0pUH6jmGjjGzR0k-1-meuc0KCxLOtmI,818
slickml/visualization/_glmnet.py,sha256=KPUAMs0uSkMkL5gU4Ex4Y-q4Sc9Jw0AytpQj9knTNYU,14072
slickml/visualization/_metrics.py,sha256=kRejumXj3zcds3514X2ecRe_rJsOIhRRWvLpMl_azf8,17207
slickml/visualization/_selection.py,sha256=z3nhntfeHMHr95svWmi-CXfcWd_rp0Zc7WLDuGE8CJg,9819
slickml/visualization/_shap.py,sha256=qhp3mUSBDO4FcsigAiN7Vg3pK2h5GehYxmfk8KMIleU,14632
slickml/visualization/_xgboost.py,sha256=v94ZhbsIfHbmdWmynFbzDnCvuFAi30A-jhevQJlH4Rs,10735
slickml-0.3.0.dist-info/LICENSE,sha256=jFyCGQIdhkF4Shqpj2cJrMzMNPNMJMG0jFvJeFEbIGE,1079
slickml-0.3.0.dist-info/METADATA,sha256=BnDMYTEo-FLrRmQV6PZY56e7KV9IjPciWsJsjFNURiY,11253
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slickml-0.3.0.dist-info/entry_points.txt,sha256=kADiDxL987xitLrM0RydDFbLsz4xq3nTTV7ggaVDXYY,43
slickml-0.3.0.dist-info/RECORD,,
