Image Classifier (Experimental)¶
Skorch Binary Image Classifier https://skorch.readthedocs.io/en/stable/classifier.html
Documentation¶
Attributes¶
- Model training history
Model training history
Definition¶
Output ports¶
- model model
Model
Configuration¶
- Batch size (batch_size)
Mini-batch size. If batch size is -1, a single batch with all the data will be used during training and validation.
- Cross validation (cross_validation)
Cross validation
- Early stopping (early_stopping)
Early stopping
- Learning rate (lr)
Learning rate
- Maximum number of epochs (max_epochs)
The number of epochs to train for each fit.
- Optimizer (optimizer)
The optimizer (update rule) used to optimize the module
Implementation¶
- class node_neuralnetwork.BinaryImageClassifier[source]