Wheelodex » Projects » turboml-sdk

turboml-sdk

View on PyPI — Reverse Dependencies (0)

0.1.5 turboml_sdk-0.1.5-py3-none-any.whl

Wheel Details

Project: turboml-sdk
Version: 0.1.5
Filename: turboml_sdk-0.1.5-py3-none-any.whl
Download: [link]
Size: 91747
MD5: 039653a2c7481158fdc01a59e918ac19
SHA256: fc48f1d4b206fb3bea8999e3b95d0798daaf6790746b275512f9052f01345e25
Uploaded: 2025-01-23 13:21:02 +0000

dist-info

METADATA · WHEEL · RECORD

METADATA

Metadata-Version: 2.1
Name: turboml-sdk
Version: 0.1.5
Summary: Python SDK for TurboML
Author: TurboML, Inc.
Author-Email: hello[at]turboml.com
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.11,<3.12
Requires-Dist: cloudpickle (<4,>=3)
Requires-Dist: datafusion (<37.0.0,>=36.0.0)
Requires-Dist: duckdb (<2.0.0,>=1.1.3)
Requires-Dist: frozendict (<3.0.0,>=2.3.10)
Requires-Dist: ibis-framework (<10.0.0,>=9.5.0)
Requires-Dist: pandas (<3.0.0,>=2.2.3)
Requires-Dist: plotly (<6.0.0,>=5.18.0)
Requires-Dist: protobuf (<6.0.0,>=5.28.3)
Requires-Dist: protobuf-to-pydantic (<0.4.0,>=0.3.0)
Requires-Dist: psycopg2-binary (<3.0.0,>=2.9.9)
Requires-Dist: psycopg[binary] (<4.0.0,>=3.1.18)
Requires-Dist: psycopg_pool (<4.0.0,>=3.2.1)
Requires-Dist: pyarrow (<18.0.0)
Requires-Dist: pyarrow-hotfix (<0.7,>=0.6)
Requires-Dist: pydantic (<3.0.0,>=2.5.3)
Requires-Dist: pydantic-settings (<3.0.0,>=2.3.4)
Requires-Dist: pyjwt[crypto] (<3.0.0,>=2.8.0)
Requires-Dist: requests (<3.0.0,>=2.31.0)
Requires-Dist: risingwave (<0.2.0,>=0.1.1)
Requires-Dist: scikit-learn (<2.0.0,>=1.5.2)
Requires-Dist: tenacity (<10.0.0,>=9.0.0)
Requires-Dist: tqdm (<5.0.0,>=4.66.5)
Requires-Dist: turboml_bindings (<0.2.0,>=0.1.0)
Description-Content-Type: text/markdown
[Description omitted; length: 50 characters]

WHEEL

Wheel-Version: 1.0
Generator: poetry-core 1.9.1
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
turboml/__init__.py sha256=7NF89-8z36PzMouZCr1O_83b6GFSwA5qvHPtoYekwYc 137
turboml/common/__init__.py sha256=dqtRTEogFphXRisEmUvreO5hO1j1zjksAQdFs_EPKYI 18280
turboml/common/api.py sha256=HqgPtrbtUM2oEcsz53RWjTlkHAoBdRekkc_KQ4XJeyc 7519
turboml/common/concurrent.py sha256=OVuOqxsG1CxgDSlgt39eBsLbY0wooOcNpYRwG7sBKQI 494
turboml/common/dataloader.py sha256=VJfJgKI6uFGlsXZx1LHDcgCg4-uy6l1nbqPrPSnewQE 14687
turboml/common/datasets.py sha256=2Dv-MEtWOg_0fVfoUTJxM3UTxBVQ7DSdnee18zPw-QA 28152
turboml/common/default_model_configs.py sha256=c13BAXxTL-wBLL7JjNapdPrceS9SbsUi9Fx8KLRBi7U 11822
turboml/common/env.py sha256=w4Xfbcl-1NZ8slnrUMsJG6Bx2UeBZbhCh1BiKzjvLpA 874
turboml/common/feature_engineering.py sha256=b6mSl5LTOLWtfeeKUGes8Gig7M2T_9FWxzATCCokIqs 56919
turboml/common/internal.py sha256=OQMKZJbPBi-_W_QdsBcy_ln2j_5ngWJb0De6w_dDI28 9251
turboml/common/llm.py sha256=c10c5z_galwgfKfD3Tpu_SaOmiOzJea9OuvnDD03w-c 2881
turboml/common/ml_algs.py sha256=43-ijrcCpRP4FyROFq_OV9yIUzL9qVdlYsjhpSbY2Ww 66387
turboml/common/model_comparison.py sha256=Sk9ma3p9pqFlqDRniqbFeUZOiMp9rVANGX_YOM4K8mY 1745
turboml/common/models.py sha256=qRS3Aq3eKbiP7kTrf4ViKMA9NrVstOR7WtSHMBC3D9g 30229
turboml/common/namespaces.py sha256=yxAhKN_89X4_koPDsjw0n1hjCKSh2-pqYin_JJGj-oY 1197
turboml/common/protos/__init__.py sha256=n8vSjAqPMxzROUsw2M-iSA7V6zXGgZNA98s9YY14ALg 65
turboml/common/protos/config_pb2.py sha256=WQ21gD-0XvdwSNaLupnSLq3NQ3GinOI_nqzgZJJYfu0 20387
turboml/common/protos/config_pb2.pyi sha256=QDURQHJNVWblLTX-12K8aaSZJY9JXtAVK2BUz_ULItA 38374
turboml/common/protos/flink_pb2.py sha256=_t2QE-plzEJwa6g1i6xM1qY5YWUnkcpTYpDRMXU8RoQ 7306
turboml/common/protos/flink_pb2.pyi sha256=FFn4uWKk_8O_n4u2nqZbR4AXy_YakE3utjqSC_Uw2NQ 9143
turboml/common/protos/flink_pb2_grpc.py sha256=_UJduSCXpjmGbm1MWzgqoOM7vXEipDYYDV1ntygnIDQ 5107
turboml/common/protos/input_pb2.py sha256=sh69l8-rLo0bdP1_VU6pGcQ-V9Ufa1QWlqyJZBcGnLw 1216
turboml/common/protos/input_pb2.pyi sha256=dNm6Mo83VtA3wRwAURwzbNDZMo1HMGlDwpAM1-eYg4I 1261
turboml/common/protos/metrics_pb2.py sha256=DhmFA6kwT4x_C6BNniSgXowrmtTASxYO_Icohxz8vbI 1041
turboml/common/protos/metrics_pb2.pyi sha256=XcqmaqWZz2furvgUdWi73SoVGXHQ4NnfORP7FSB6FpY 485
turboml/common/protos/ml_service_pb2.py sha256=5n0l5a1XjIiJ4GJ7fT4OSGc-GmH3hAkJXSb69aHWB4c 1311
turboml/common/protos/ml_service_pb2.pyi sha256=GTxInz5lW-RdKkfCruY7-wldJ89QTBwauuytLaqPKR8 334
turboml/common/protos/ml_service_pb2_grpc.py sha256=lo0G5tqx4yB8LgjlBdTf0B23WABrDvpfEfA2MGRTYmo 4984
turboml/common/protos/output_pb2.py sha256=YwRaopDFAN1XTPsLEhnjf4vM6Wt70FhQpfdxFQih0xc 1264
turboml/common/protos/output_pb2.pyi sha256=Yv1VNh4TFkg-yCH1ulP0JcEh9btk2w_SbfdauX0jhxc 1361
turboml/common/protos/sources_pb2.py sha256=WaWlMy4tCuA4S9x6C6OcI-31lMkuS--hmtn5CEwRl8c 4863
turboml/common/protos/sources_pb2.pyi sha256=55ho2PDKpnQ1oHgS4dQgnB9VXXEiRP3mnZ0Zv7TerQI 6850
turboml/common/pymodel.py sha256=fgoJH4699DtpS95MbSaciXJzA1tkPhdQHuA--ZRqvU4 47
turboml/common/pytypes.py sha256=JskTsduv5tk0Nip-v0RX2ta7JTtFcOFmWwQb9phrxBQ 47
turboml/common/sources/__init__.py sha256=GcMQtcdzXFnlXMAH9Zm3l1mGiYiTQgirIVOf6GJQhlE 404
turboml/common/sources/sources_p2p.py sha256=6MrE8bNwmkYAuM-3DpopSWSEtFuFfGCf7FyjfZO6cjc 3247
turboml/common/types.py sha256=ooaW9vBTr93VQ5KWA9FbnlAkQTEq5tx72DV-8kdfdrg 615
turboml/common/udf.py sha256=_m7sJQ6YLVj6kjfWPZDJV-4Z1LxPfkpsisxQB0TPdpY 2212
turboml/common/util.py sha256=T5C3mGb81pPQjAjLE5hIo_fYzQKoVkIbW0JhJ6wU_RU 5870
turboml_sdk-0.1.5.dist-info/METADATA sha256=ZYGiZHgSNN7H2gHMUCfTnL3HVtwc71x99b5JvNml_Ng 1361
turboml_sdk-0.1.5.dist-info/WHEEL sha256=Nq82e9rUAnEjt98J6MlVmMCZb-t9cYE2Ir1kpBmnWfs 88
turboml_sdk-0.1.5.dist-info/RECORD — —