Applying Contextual Bandits for Recommendations with Tensorflow and TF-Agents recensioni

I think that this topic is too deep to be processed in a single lab. I felt like it lacked some explanation in the videos to address this properly. However the amount of information is really helpful I couldn't import the tf_agents.bandits from tensorflow, it seem like a version conflict

Nicolás E. · Recensione inserita oltre un anno fa

Viktor K. · Recensione inserita oltre un anno fa

The lab is out-of-date and didn't compile without a lot of trials and errors. It works for me after I did the following in the terminal: pip uninstall keras pip install keras==2.3.1 pip install protobuf==3.20 pip install tensorflow-probability==0.19.0 pip install tf-agents==0.17.0 pip install tensorflow==2.12 Hope this helps some other people.

Hing T. · Recensione inserita oltre un anno fa

Nasuh K. · Recensione inserita oltre un anno fa

Muhammad Hamza A. · Recensione inserita oltre un anno fa

Pedro A. · Recensione inserita oltre un anno fa

Pradeep G. · Recensione inserita oltre un anno fa

Imports don't work.

Scott S. · Recensione inserita oltre un anno fa

Loya J. · Recensione inserita oltre un anno fa

Aayush J. · Recensione inserita oltre un anno fa

Noel S. · Recensione inserita oltre un anno fa

Version of the pip is conflicting and cannot be done

Qi Rong L. · Recensione inserita oltre un anno fa

Lourdes Alejandra H. · Recensione inserita oltre un anno fa

Vijayakumar D B. · Recensione inserita oltre un anno fa

Kai Nang K. · Recensione inserita oltre un anno fa

Joshua T. · Recensione inserita oltre un anno fa

Bretsko D. · Recensione inserita oltre un anno fa

Tony J. · Recensione inserita oltre un anno fa

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. · Recensione inserita oltre un anno fa

Lab outdated, the libraries are incompatible, I get the initial error: ERROR: pip's dependency resolver does not currently take into account all the packages that are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. · Recensione inserita oltre un anno fa

Mohankumar B. · Recensione inserita oltre un anno fa

Savannah H. · Recensione inserita oltre un anno fa

imports broken as hell

Krzysztof S. · Recensione inserita oltre un anno fa

Eduardo H. · Recensione inserita oltre un anno fa

Ashenafi K. · Recensione inserita oltre un anno fa