Batch size
Batch size
Trains TensorFlow model for multi-class text classification
Trains TensorFlow model for multi-class text classification
Dropout coefficient
Dropout coefficient
Maximum number of epochs to train
Maximum number of epochs to train
Feature scaling method.
Feature scaling method. Possible values are 'zscore', 'minmax' or empty (no scaling)
Fix the imbalance in the training set by replicating examples of under represented categories
Fix the imbalance in the training set by replicating examples of under represented categories
From entity start position
From entity end position
To entity label
Batch size
Batch size
Dropout coefficient
Dropout coefficient
Get feature scaling method
Get feature scaling method
Fix imbalance in training set
Fix imbalance in training set
Get from entity begging
Get from entity end
Get from entity label
Column with label per each document
Column with label per each document
Learning Rate
Learning Rate
Maximum number of epochs to train
Maximum number of epochs to train
Model file name
Model file name
Get output logs path
Get output logs path
Get to entity begging
Get to entity end
Get to entity label
Choose the proportion of training dataset to be validated against the model on each Epoch.
Choose the proportion of training dataset to be validated against the model on each Epoch. The value should be between 0.0 and 1.0 and by default it is 0.0 and off.
Input annotator type : SENTENCE_EMBEDDINGS
Input annotator type : SENTENCE_EMBEDDINGS
Column with label per each document
Column with label per each document
Learning Rate
Learning Rate
Location of file of the model used for classification
Location of file of the model used for classification
Output annotator type : CATEGORY
Output annotator type : CATEGORY
Path to folder to output logs.
Path to folder to output logs. If no path is specified, no logs are generated
Batch size
Batch size
Dropout coefficient
Dropout coefficient
Maximum number of epochs to train
Maximum number of epochs to train
Set the feature scaling method.
Set the feature scaling method. Possible values are 'zscore', 'minmax' or empty (no scaling)
Fix imbalance of training set
Fix imbalance of training set
Set from
entity
Column with label per each document
Column with label per each document
Set the model file name
Set the model file name
Set the output log path
Set the output log path
Set to
entity
Choose the proportion of training dataset to be validated against the model on each Epoch.
Choose the proportion of training dataset to be validated against the model on each Epoch. The value should be between 0.0 and 1.0 and by default it is 0.0 and off.
Learning Rate
Learning Rate
To entity start position
To entity end position
To entity label
Choose the proportion of training dataset to be validated against the model on each Epoch.
Choose the proportion of training dataset to be validated against the model on each Epoch. The value should be between 0.0 and 1.0 and by default it is 0.0 and off.