Class TensorflowCheckpointModel<T extends Output<T>>

java.lang.Object

org.tribuo.Model<T>

org.tribuo.interop.tensorflow.TensorflowCheckpointModel<T>

All Implemented Interfaces:

com.oracle.labs.mlrg.olcut.provenance.Provenancable<ModelProvenance>, Closeable, Serializable, AutoCloseable

public class TensorflowCheckpointModel<T extends Output<T>>
extends Model<T>
implements Closeable

TensorFlow support is experimental, and may change without a major version bump.

This model encapsulates a simple model with a single input tensor (labelled TensorflowModel.INPUT_NAME), and produces a single output tensor (labelled TensorflowModel.OUTPUT_NAME).

It accepts an ExampleTransformer that converts an example's features into a Tensor, and an OutputTransformer that converts a Tensor into a Prediction.

The model's serialVersionUID is set to the major Tensorflow version number times 100.

N.B. Tensorflow support is experimental and may change without a major version bump.

See Also:

• Serialized Form

Field Summary

Fields inherited from class org.tribuo.Model

ALL_OUTPUTS, BIAS_FEATURE, featureIDMap, generatesProbabilities, name, outputIDInfo, provenance, provenanceOutput

Method Summary

Modifier and Type	Method	Description
void	close()
protected TensorflowCheckpointModel<T>	copy(String newName, ModelProvenance newProvenance)	Copies a model, replacing it's provenance and name with the supplied values.
Optional<Excuse<T>>	getExcuse(Example<T> example)	Deep learning models don't do excuses.
Map<String, List<com.oracle.labs.mlrg.olcut.util.Pair<String,Double>>>	getTopFeatures(int n)	Deep learning models don't do feature rankings.
Prediction<T>	predict(Example<T> example)	Uses the model to predict the output for a single example.

Methods inherited from class org.tribuo.Model

copy, generatesProbabilities, getExcuses, getFeatureIDMap, getName, getOutputIDInfo, getProvenance, innerPredict, predict, predict, setName, toString, validate

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Method Details

predict

public Prediction<T> predict(Example<T> example)

Description copied from class: Model

Uses the model to predict the output for a single example.

predict does not mutate the example.

Throws IllegalArgumentException if the example has no features or no feature overlap with the model.

Specified by:

predict in class Model<T extends Output<T>>

Parameters:

example - the example to predict.

Returns:

the result of the prediction.

getTopFeatures

public Map<String, List<com.oracle.labs.mlrg.olcut.util.Pair<String,Double>>> getTopFeatures(int n)

Deep learning models don't do feature rankings. Use an Explainer.

This method always returns the empty map.

Specified by:

getTopFeatures in class Model<T extends Output<T>>

Parameters:

n - the number of features to return.

Returns:

The empty map.

getExcuse

public Optional<Excuse<T>> getExcuse(Example<T> example)

Deep learning models don't do excuses. Use an Explainer.

This method always returns Optional.empty().

Specified by:

getExcuse in class Model<T extends Output<T>>

Parameters:

example - The input example.

Returns:

Optional.empty().

copy

protected TensorflowCheckpointModel<T> copy(String newName,
 ModelProvenance newProvenance)

Description copied from class: Model

Copies a model, replacing it's provenance and name with the supplied values.

Used to provide the provenance removal functionality.

Specified by:

copy in class Model<T extends Output<T>>

Parameters:

newName - The new name.

newProvenance - The new provenance.

Returns:

A copy of the model.

close

public void close()

Specified by:

close in interface AutoCloseable

Specified by:

close in interface Closeable