PerceptiLabs
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v0.11
Getting Started
References
Use Cases
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
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
Last modified 1yr ago
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