Package | Description |
---|---|
deepnetts.data |
Data structures to store example data used for building machine learning models.
|
deepnetts.data.norm |
Data normalization methods, used to scale data to specific range, in order to make them suitable for use by a neural network.
|
deepnetts.net |
Neural network architectures with their corresponding builders.
|
Class and Description |
---|
MaxScaler
Performs max normalization, rescales data to corresponding max value in each column.
|
MinMaxScaler
Performs Min Max normalization on the given data set.
|
Class and Description |
---|
AbstractScaler
Base class to simplify implementation of custom normalization procedure.
|
Class and Description |
---|
AbstractScaler
Base class to simplify implementation of custom normalization procedure.
|
Copyright © 2022. All rights reserved.