scikit_llm-1.4.2.dist-info/licenses/LICENSE,sha256=1Cv-XjNLxZLodoI7xK63KNRvevmcRSKRZT6gZmZVzhM,1077
skllm/__init__.py,sha256=lTRhR04gauRHL4vTcfspZXrp7j6fhETuMrbD0ZeOgWk,74
skllm/classification.py,sha256=Z9fGB3ar3RU1-VklyBhFdiCg16qhfiUhZp0s5gNEvhc,653
skllm/config.py,sha256=pqsFZiU_BlMsD9Oij20cjJELuXsFarsf_dazpt27G7s,5960
skllm/model_constants.py,sha256=nAO7l-gdqX1yt7JvBsdRuPJGYSeuOFZTRovhCDws24k,283
skllm/text2text.py,sha256=M9s__T-qmdFdkuBVeZFGcovSGN3MRrS3hmr6_xGB2po,291
skllm/vectorization.py,sha256=h-IO8iqIxM4lwmmMtUP89rUXW8iyFzYZE33vyLJDpEI,57
skllm/datasets/__init__.py,sha256=_I-r6iR1ScsVAxlgDXQSEH1cBv0GLV6kB72t0xY27fo,273
skllm/datasets/multi_class.py,sha256=MWFf95DLig1eRIiJlHB0e_-0h2u-tMICAccXmA6eKRc,5870
skllm/datasets/multi_label.py,sha256=WsU7OKa0x-2-UuF_u7xmAvo9_zHeLCdfmufI1UgiPv0,1438
skllm/datasets/summarization.py,sha256=6Lxi1itlqsVZ7udtSFqWqPSgd0875Ucv7E8gNY3pEbc,2729
skllm/datasets/translation.py,sha256=BpaZSK-KdiAXbqStb-sRB7K2GfIJI4bbZ2OnAHcWUM8,818
skllm/llm/base.py,sha256=h3lkO470zbs-doQZrGvYwq3c-bxhPhyt68MYD9EOR0g,901
skllm/llm/anthropic/completion.py,sha256=D_yFZ4PxRspaY_OZFj6K2d0PEjiecQiXf3VjDbL3Ee4,2056
skllm/llm/anthropic/credentials.py,sha256=GnArrNARy4MD-CDPhph8bIQxCRhBzrYa8GT5w--h6VY,244
skllm/llm/anthropic/mixin.py,sha256=hYYlBTQSfYimaV1rAGC_Uar7mKMcc1tCkqWoc6kxebM,3511
skllm/llm/gpt/completion.py,sha256=-_aCrFS6TGIdU_n7DkBOUoYCLq8roBiJz4wOpnnwcNo,1544
skllm/llm/gpt/embedding.py,sha256=vrcFGPo5-6dmvTM4ptiv8xaQPhsiWyEIdAk_xl06hLc,903
skllm/llm/gpt/mixin.py,sha256=3EIm7MrGhSSlMqMXaxvaF_IPM3UJOU-rjaZD8h3MOdw,8261
skllm/llm/gpt/utils.py,sha256=JUEpcGTrUocgqJxk3rxUGKQDY9eXqDzfHz38u3yG89M,386
skllm/llm/gpt/clients/llama_cpp/completion.py,sha256=BhKp83VVPa_e-x08L9eP8BqKWe1UHMBeFS0u2TNpDTM,384
skllm/llm/gpt/clients/llama_cpp/handler.py,sha256=_7cEKNKSHts8jmyuQ61tHj41GZjgXHawJodgn10cCZ4,5862
skllm/llm/gpt/clients/openai/completion.py,sha256=AzTa-3Nc9zh3a1X7zUhysLVoaqMfo9Ufd5PJDvmGtg0,1575
skllm/llm/gpt/clients/openai/credentials.py,sha256=oQ_hnirrbZL28OXzpVR6uuqib_l55OqQACYBlC02l6g,992
skllm/llm/gpt/clients/openai/embedding.py,sha256=eU-pkUztpvCwvdN-tV13RmGAcLl6AY3PpctRXAJ_-ZM,1539
skllm/llm/gpt/clients/openai/tuning.py,sha256=5Ow3pkICArkHtOuVoDaY6K1umZyjrK2l-1t0iuOpT2Q,2168
skllm/llm/vertex/completion.py,sha256=N1N-zvnSxgYztGnURY83D9KuO34FDykLgARuerCPZzk,1094
skllm/llm/vertex/mixin.py,sha256=P8XkUMMPjj9Rgx-nAFbe8uuoz9EhDpyeeLAtqj-g-qI,3188
skllm/llm/vertex/tuning.py,sha256=do4e_Z5RrPfzDtjOkv82wTf7tWHdz9Hg_tFEi_s1CrE,490
skllm/memory/__init__.py,sha256=NoungozD3wPFrXKzQ7AgfRMTgjWFBphRhty9fGcnu7M,56
skllm/memory/_annoy.py,sha256=zOpSZpqhC8QG2UpYVlbd-QwFYnga4yR1uxLZttU9RdQ,3816
skllm/memory/_sklearn_nn.py,sha256=0FyR9e_FyqymY7qHaO5qzGKQ3uhdxDei4hdmoWVSEW0,1871
skllm/memory/base.py,sha256=RyoCfzpTo1ULbROmChMaAd3jWwhMflL4vc6OGSvsu0s,1279
skllm/models/_base/classifier.py,sha256=bJGgEybksKlxiOvcVpYZBLoIxk3Z-PPqchfdxD9qsWM,18891
skllm/models/_base/tagger.py,sha256=HE5WgfLD2j7zKQfNixKvGN92s4AoLdpwULcsASJcvFc,4834
skllm/models/_base/text2text.py,sha256=xrgGjg8KXHmmU6uou3UseNbCvqQIwMwdoPuO0fPtaN8,5400
skllm/models/_base/vectorizer.py,sha256=_zzct6K2kHeYIYZa0bMSMuF7kwgoH3haVUTzP5Lp_Lo,2636
skllm/models/anthropic/classification/few_shot.py,sha256=gi8wuXD4uojbe4anLjSF5LGdPIsOMh8QmPCuRsClMTs,5282
skllm/models/anthropic/classification/zero_shot.py,sha256=IT6uYR8qfUWdIb_ge8yyiRbhFFf5c-lSNC1ogzneQro,4301
skllm/models/anthropic/tagging/ner.py,sha256=q_tD2a43h1C59QtDFc-bjb4xNwm5UYnWQgsnDJ269g8,1694
skllm/models/anthropic/text2text/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
skllm/models/anthropic/text2text/summarization.py,sha256=kbCjXcf837h5NMuSv09vY_owdfX-ab65VlaCGHWD0g4,1263
skllm/models/anthropic/text2text/translation.py,sha256=TjDUWwUP28kQe8jYkgcQ13Evxun81DaKLDJp4w2kfAA,1269
skllm/models/gpt/vectorization.py,sha256=rsUdI-w_SqV69TJb3nGGxt2IcE3pJUgw2N7NzwWmVbc,1118
skllm/models/gpt/classification/few_shot.py,sha256=GMKvC22LkYcgSROPvEB8Z4vtWq53xZ4y3znk8LNnLmU,5562
skllm/models/gpt/classification/tunable.py,sha256=hPRmickmYj0DGPbnePXwhJZC0Cu9UDYWMCq9Nm6knEU,3935
skllm/models/gpt/classification/zero_shot.py,sha256=1y-7_qGorklEKXnOsgP6LaAO3_xLYsCLYLkLH0UQnGg,4463
skllm/models/gpt/tagging/ner.py,sha256=AeWoWXVkn-MMm2WwxYkopUlf3iNo1MNHoe71jHCHrzI,1762
skllm/models/gpt/text2text/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
skllm/models/gpt/text2text/summarization.py,sha256=_sMZ1gXTCKRGXz7jp2Zd2uRzNI--jhHLyhi34BaQsJI,1297
skllm/models/gpt/text2text/translation.py,sha256=CQgTIFRXuPRaSTZ2kDnU6R98FEpVGnqUjgy1Fq7_Tek,1205
skllm/models/gpt/text2text/tunable.py,sha256=Sk5S84x4Q11jYCYpN6y4Z-fLohEgaf55SqLx-xoDTdk,1527
skllm/models/vertex/classification/tunable.py,sha256=5hq0lJzHdtu7SMfMLFgvNBrZYFnOtMI-suBdPJj-7BY,1346
skllm/models/vertex/classification/zero_shot.py,sha256=vjl2LQ5Pv3HjBC9pUiYvtUmBJtySZelmuTUtc6xpO0s,2363
skllm/models/vertex/text2text/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
skllm/models/vertex/text2text/tunable.py,sha256=sVmNSBdG77RkUaO_WgI_kAARWVLhSx_7TsT_TLGIQ1w,909
skllm/prompts/builders.py,sha256=nChL9nDXWqjsHVEBaNRBhIEvJ5-Wa5ZkYq8-Af01mBk,5662
skllm/prompts/templates.py,sha256=oihUdmE5QvRfFmzC9hyupK9fSBNGRRkGovmCVedmWlk,11088
skllm/utils/__init__.py,sha256=3L5gSIx4FrabAmimliXluTr6OxBrXNG_DuqdAVTMeYw,3181
skllm/utils/rendering.py,sha256=tHqx8JTQyFOlnNWFVq81xqLMp-n-_sVQ_gfxOb813cg,5344
skllm/utils/xml.py,sha256=lnAnXl1WPWLy4LqXdwOxDu0bEPkc9G4fqO65EtRpxa4,1936
scikit_llm-1.4.2.dist-info/METADATA,sha256=As8Y6gzd4jQGTgZZpVmw3YqatMRv3Pi8fXQcxs-FnGQ,4282
scikit_llm-1.4.2.dist-info/WHEEL,sha256=_zCd3N1l69ArxyTb8rzEoP9TpbYXkqRFSNOD5OuxnTs,91
scikit_llm-1.4.2.dist-info/top_level.txt,sha256=ztSzeUgZgHzUHsEw71UlMPVBC99SYNk91HO4hWruvBM,6
scikit_llm-1.4.2.dist-info/RECORD,,
