Augment pandas DataFrame with methods for machine learning
Project description
pytorch extension for pandas-ml-utils
Adds a PytorchModel
to the pandas ml utils suite. While a regular class extending nn.Module
is sufficient,
there is also a special class PytorchNN
which can be extended as well. Using this class has the following
advantages:
- allows to use L1, L2 regularization -> example
- allows different forward path for training and prediction (useful i.e. for reparameterization trick) -> example
- allows to implement auto-encoders easily by just providing the encode/decode functions
- added loss functions like
SoftDTW
(fit time series) loss orHeteroscedasticityLoss
(fit Normal Distribution) -> example
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Close
Hashes for pandas-ml-utils-torch-0.2.6.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 29946e5b7f35a632a9fa5dae8625b6d61d66e2168c0f55d6d689786b77376057 |
|
MD5 | 4d485fd8b7b7129d0399fb9a92e28d56 |
|
BLAKE2b-256 | 34c8e41d9ad45b1900036112ccfb445d87d9577e92418e783739aab8656c1a13 |