关于“Applying Contextual Bandits for Recommendations with Tensorflow and TF-Agents”的评价

Lourdes Alejandra H. · 已于 over 1 year前审核

Vijayakumar D B. · 已于 over 1 year前审核

Kai Nang K. · 已于 over 1 year前审核

Joshua T. · 已于 over 1 year前审核

Bretsko D. · 已于 over 1 year前审核

Tony J. · 已于 over 1 year前审核

Very disappointed in Google. The quality has noticeably gone downhill in the last 6 months. Many labs no longer work and the python code is no longer compatible.

Sylvain C. · 已于 over 1 year前审核

Lab outdated, the libraries are incompatible, I get the initial error: ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. apache-beam 2.46.0 requires cloudpickle~=2.2.1, but you have cloudpickle 3.0.0 which is incompatible. apache-beam 2.46.0 requires numpy<1.25.0,>=1.14.3, but you have numpy 1.26.4 which is incompatible. apache-beam 2.46.0 requires protobuf<4,>3.12.2, but you have protobuf 4.25.4 which is incompatible. google-api-core 1.34.1 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<4.0.0dev,>=3.19.5, but you have protobuf 4.25.4 which is incompatible. google-cloud-bigtable 1.7.3 requires protobuf<4.0.0dev, but you have protobuf 4.25.4 which is incompatible. google-cloud-datastore 1.15.5 requires protobuf<4.0.0dev, but you have protobuf 4.25.4 which is incompatible. google-cloud-language 1.3.2 requires protobuf<4.0.0dev, but you have protobuf 4.25.4 which is incompatible. google-cloud-videointelligence 1.16.3 requires protobuf<4.0.0dev, but you have protobuf 4.25.4 which is incompatible. numba 0.56.4 requires numpy<1.24,>=1.18, but you have numpy 1.26.4 which is incompatible. tensorboardx 2.6 requires protobuf<4,>=3.8.0, but you have protobuf 4.25.4 which is incompatible. tensorflow-metadata 0.14.0 requires protobuf<4,>=3.7, but you have protobuf 4.25.4 which is incompatible. tensorflow-transform 0.14.0 requires absl-py<2,>=0.7, but you have absl-py 2.1.0 which is incompatible. tensorflow-transform 0.14.0 requires protobuf<4,>=3.7, but you have protobuf 4.25.4 which is incompatible. ydata-profiling 4.5.1 requires numpy<1.24,>=1.16.0, but you have numpy 1.26.4 which is incompatible. ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. apache-beam 2.46.0 requires cloudpickle~=2.2.1, but you have cloudpickle 3.0.0 which is incompatible. apache-beam 2.46.0 requires numpy<1.25.0,>=1.14.3, but you have numpy 1.26.4 which is incompatible. apache-beam 2.46.0 requires protobuf<4,>3.12.2, but you have protobuf 4.25.4 which is incompatible. tensorflow-transform 0.14.0 requires absl-py<2,>=0.7, but you have absl-py 2.1.0 which is incompatible. tensorflow-transform 0.14.0 requires protobuf<4,>=3.7, but you have protobuf 4.25.4 which is incompatible. ydata-profiling 4.5.1 requires numpy<1.24,>=1.16.0, but you have numpy 1.26.4 which is incompatible. Everything got errors after that: AttributeError: module 'keras._tf_keras.keras' has no attribute '__internal__'

Juan M. · 已于 over 1 year前审核

Mohankumar B. · 已于 over 1 year前审核

Savannah H. · 已于 over 1 year前审核

imports broken as hell

Krzysztof S. · 已于 over 1 year前审核

Eduardo H. · 已于 over 1 year前审核

Ashenafi K. · 已于 over 1 year前审核

Rafael F. · 已于 over 1 year前审核

Raja S. · 已于 over 1 year前审核

Muhammad K. · 已于 over 1 year前审核

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borhen y. · 已于 over 1 year前审核

ismail L. · 已于 over 1 year前审核

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Slamet S. · 已于 over 1 year前审核

Yuchieh Cheng 鄭宇傑 E. · 已于 over 1 year前审核

Mayank A. · 已于 over 1 year前审核

aninda b. · 已于 over 1 year前审核