Included Packages
PerceptiLabs allows you to write custom Python code within the components of your model and currently includes the packages listed below:
PerceptiLabs 0.11.13 and Above
Python Packages | Version |
tensorflow | 2.4.1 |
onnx | 1.6.0 |
tf2onnx | 1.7.2 |
keras2onnx | 1.7.0 |
astor | >=0.8.0 |
azure-eventhub | 5.1.0 |
azure-storage-blob | 12.6.0 |
boltons | >=19.3.0 |
boto3 | >=1.9.233 |
boto | >=2.49.0 |
cryptography | >=2.8 |
dask[array] | 2.6.0 |
dask[dataframe] | 2.6.0 |
fsspec | >=0.6.0 |
gputil | >=1.4.0 |
h5py | 2.10.0 |
jinja2 | >=2.10.3 |
jsonschema | 3.2.0 |
numpy | >=1.18.5, <=1.19.2 |
opencv-python | 4.5.1.48 |
pandas | >=0.25.0 |
pillow | 7.0.0 |
psutil | >=5.6.3 |
scikit-image | 0.17.2 |
scikit-learn | >=0.22.1 |
scipy | >=1.3.0 |
six | >=1.14.0 |
PerceptiLabs 0.11.11 and Below
Python Packages | Version |
tensorflow as tf | 1.13.1 or 1.15 |
numpy as np | >=1.16.4 |
pandas as pb | >=0.25.0 |
gym | >=0.16.0 |
json | - |
os | - |
skimage | >=0.15.0 |
dask.array as da | >=2.6.0 |
dask.dataframe as dd | >=2.6.0 |
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