0.9.0

PyPI

adanet

adanet is a lightweight and scalable TensorFlow AutoML framework for training and deploying adaptive neural networks using the AdaNet algorithm [Cortes et al. ICML 2017](https://arxiv.org/abs/1607.01097).

Published9 Jul 2020

Direct dependencies8

Transitive dependenciesNot calculated

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Declared dependencies 8

Native requirements

8 direct targetsNot calculated transitive count

Package / target	Requirement	Relationship
absl-py Environment { "extras": "", "marker": null, "requires_python": "", "evaluation": "NOT_EVALUATED" }	`absl-py (<1.0,>=0.7)`	runtime
six Environment { "extras": "", "marker": null, "requires_python": "", "evaluation": "NOT_EVALUATED" }	`six (<2.0,>=1.11)`	runtime
numpy Environment { "extras": "", "marker": null, "requires_python": "", "evaluation": "NOT_EVALUATED" }	`numpy (<2.0,>=1.15)`	runtime
nose Environment { "extras": "", "marker": null, "requires_python": "", "evaluation": "NOT_EVALUATED" }	`nose (<2.0,>=1.3)`	runtime
rednose Environment { "extras": "", "marker": null, "requires_python": "", "evaluation": "NOT_EVALUATED" }	`rednose (<2.0,>=1.3)`	runtime
coverage Environment { "extras": "", "marker": null, "requires_python": "", "evaluation": "NOT_EVALUATED" }	`coverage (<5.0,>=4.5)`	runtime
protobuf Environment { "extras": "", "marker": null, "requires_python": "", "evaluation": "NOT_EVALUATED" }	`protobuf (<4.0,>=3.6)`	runtime
mock Environment { "extras": "", "marker": null, "requires_python": "", "evaluation": "NOT_EVALUATED" }	`mock (<4.0,>=3.0)`	runtime