Hey guys!
I am having some trouble running the CT_Foundation_Demo on Google Colab.
When I run the instalation cell (pip commands), I get a buch of conflicts:
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. dopamine-rl 4.1.2 requires tf-keras>=2.18.0, but you have tf-keras 2.15.0 which is incompatible. grpcio-status 1.71.0 requires protobuf<6.0dev,>=5.26.1, but you have protobuf 4.25.6 which is incompatible. ydf 0.11.0 requires protobuf<6.0.0,>=5.29.1, but you have protobuf 4.25.6 which is incompatible. jax 0.5.2 requires ml_dtypes>=0.4.0, but you have ml-dtypes 0.2.0 which is incompatible. tensorflow-decision-forests 1.11.0 requires tensorflow==2.18.0, but you have tensorflow 2.14.1 which is incompatible. tensorflow-decision-forests 1.11.0 requires tf-keras~=2.17, but you have tf-keras 2.15.0 which is incompatible. tensorstore 0.1.73 requires ml_dtypes>=0.3.1, but you have ml-dtypes 0.2.0 which is incompatible. thinc 8.3.6 requires numpy<3.0.0,>=2.0.0, but you have numpy 1.26.4 which is incompatible.
I have tried to solve the conflicts by upgrading some dependencies, but I couldn't make it work.
Running the next cell I get an error in the import pandas as pd line:
ValueError: numpy.dtype size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject
Are you getting the same errors?
Thanks in advance!
Hey guys!
I am having some trouble running the CT_Foundation_Demo on Google Colab.
When I run the instalation cell (pip commands), I get a buch of conflicts:
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. dopamine-rl 4.1.2 requires tf-keras>=2.18.0, but you have tf-keras 2.15.0 which is incompatible. grpcio-status 1.71.0 requires protobuf<6.0dev,>=5.26.1, but you have protobuf 4.25.6 which is incompatible. ydf 0.11.0 requires protobuf<6.0.0,>=5.29.1, but you have protobuf 4.25.6 which is incompatible. jax 0.5.2 requires ml_dtypes>=0.4.0, but you have ml-dtypes 0.2.0 which is incompatible. tensorflow-decision-forests 1.11.0 requires tensorflow==2.18.0, but you have tensorflow 2.14.1 which is incompatible. tensorflow-decision-forests 1.11.0 requires tf-keras~=2.17, but you have tf-keras 2.15.0 which is incompatible. tensorstore 0.1.73 requires ml_dtypes>=0.3.1, but you have ml-dtypes 0.2.0 which is incompatible. thinc 8.3.6 requires numpy<3.0.0,>=2.0.0, but you have numpy 1.26.4 which is incompatible.I have tried to solve the conflicts by upgrading some dependencies, but I couldn't make it work.
Running the next cell I get an error in the
import pandas as pdline:ValueError: numpy.dtype size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject
Are you getting the same errors?
Thanks in advance!