Reputation: 17
I have built an ML model in Python, and I want to use it in a web app. Given the situation, I am trying to use tensorflowjs to convert the model into JSON. I used pip install tensorflowjs
to install the package, but I am getting errors related to tensorflow_decision_forest
:
ERROR: Could not find a version that satisfies the requirement tensorflow_decision_forests (from versions: none)
ERROR: No matching distribution found for tensorflow_decision_forests
Failure to load the inference.so custom c++ tensorflow ops. This error is likely caused the version of TensorFlow and TensorFlow Decision Forests are not compatible.
My configurations-
made a virtual environment using conda with Python version 3.8 (tried with 3.10, yet the problem persists).
tensorboard == 2.13.0
tensorboard-data-server == 0.7.2
tensorflow == 2.13.0
tensorflow-estimator == 2.13.0
tensorflow-intel == 2.13.0
tensorflow-io-gcs-filesystem == 0.31.0
Tried installing tensorflowjs version - latest (4.17), 4.15, 4.2.0 and few very old versions
I have tried searching for the solution but there's not an exact solution just got to know that tensorflow
decision
forest
is only available for linux. I have also tried various combinations of TensorFlow libraries that I have found online, yet nothing has worked. (referred this)
Upvotes: 1
Views: 275