Freeze the model from the bottom up to the layers specified by names (inclusive).
Freeze the model from the bottom up to the layers specified by names (inclusive).
This is useful for finetune a model
Specify a seq of nodes as output and return a new graph using the existing nodes
Specify a node as output and return a new graph using the existing nodes
Return the node in the graph as specified by the name
Return the nodes in the graph as specified by the names
Return the nodes in the graph as specified by the names
The default batchPerThread is 4.
The default batchPerThread is 4. For DistributedTextSet, the total batchSize is batchPerThread * rdd.getNumPartitions. For LocalTextSet, the total batchSize is batchPerThread * numOfCores.
Prediction data, TextSet.
Use a model to do prediction on TextSet.
Use a model to do prediction on TextSet.
Prediction data, TextSet.
The total batch size is batchPerThread * rdd.getNumPartitions(distributed mode) or batchPerThread * numOfCores(local mode)
The default batchPerThread is 4.
The default batchPerThread is 4. For DistributedImageSet, the total batchSize is batchPerThread * rdd.getNumPartitions. For LocalImageSet, the total batchSize is batchPerThread * numOfCores.
Prediction data, ImageSet.
Use a model to do prediction on ImageSet.
Use a model to do prediction on ImageSet.
Prediction data, ImageSet.
The total batch size is batchPerThread * rdd.getNumPartitions(distributed mode) or batchPerThread * numOfCores(local mode)
Use a model to do prediction in local mode.
Use a model to do prediction in local mode. The total batch size is batchPerThread * numOfCores, and batchPerThread is 4 by default.
Prediction data, array of Sample.
Use a model to do prediction in local mode.
Use a model to do prediction in local mode.
Prediction data, array of Sample.
The total batchSize is batchPerThread * numOfCores.
Use a model to do prediction in local mode.
Use a model to do prediction in local mode. The total batch size is batchPerThread * numOfCores, and batchPerThread is 4 by default.
Prediction data, LocalDataSet.
Use a model to do prediction in local mode.
Use a model to do prediction in local mode.
Prediction data, LocalDataSet.
The total batchSize is batchPerThread * numOfCores.
Use a model to do prediction for RDD.
Use a model to do prediction for RDD. The default batchPerThread is 4, and the total batchSize is batchPerThread * rdd.getNumPartitions.
Prediction data, RDD of Sample.
Use a model to do prediction for RDD.
Use a model to do prediction for RDD.
Prediction data, RDD of Sample.
The total batchSize is batchPerThread * rdd.getNumPartitions.
Use a model to predict for classes.
Use a model to predict for classes. By default, label predictions start from 0.
Prediction data, RDD of Sample.
The default batchPerThread is 4, and the total batchSize is batchPerThread * rdd.getNumPartitions.
Boolean. Whether result labels start from 0. Default is true. If false, result labels start from 1.
(Since version 0.3.0) please use recommended saveModule(path, overWrite)