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Author:
K.Court
License:
Summary:
Synthetic Data Metrics is a Python library for evaluating synthetic data quality across a wide range of data types (image, tabular, time series, language) and approaches to evaluation.
Latest version:
0.0.1
Required dependencies:
absl-py
|
astunparse
|
cachetools
|
certifi
|
charset-normalizer
|
flatbuffers
|
gast
|
google-auth
|
google-auth-oauthlib
|
google-pasta
|
grpcio
|
h5py
|
idna
|
imageio
|
joblib
|
keras
|
libclang
|
markdown
|
markupsafe
|
matplotlib
|
networkx
|
numpy
|
oauthlib
|
opt-einsum
|
packaging
|
pandas
|
pillow
|
protobuf
|
pyasn1
|
pyasn1-modules
|
python-dateutil
|
pytz
|
pywavelets
|
requests
|
requests-oauthlib
|
rsa
|
scikit-image
|
scikit-learn
|
scipy
|
six
|
tensorboard
|
tensorboard-data-server
|
tensorboard-plugin-wit
|
tensorflow
|
tensorflow-estimator
|
tensorflow-io-gcs-filesystem
|
termcolor
|
threadpoolctl
|
tifffile
|
typing-extensions
|
urllib3
|
werkzeug
|
wrapt
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