com.intel.analytics.zoo.models.anomalydetection
The input shape of features.
Units of hidden layers of LSTM.
Fraction of the input units to drop out. Float between 0 and 1.
Override this method to define a model.
Override this method to define a model.
Fraction of the input units to drop out.
Fraction of the input units to drop out. Float between 0 and 1.
The input shape of features.
Units of hidden layers of LSTM.
The defined model, either from buildModel() or loaded from file.
The defined model, either from buildModel() or loaded from file.
Predict for classes.
Predict for classes. By default, label predictions start from 0.
Prediction data, RDD of Sample.
Number of samples per batch. Default is 32.
Boolean. Whether result labels start from 0. Default is true. If false, result labels start from 1.
Save the model to the specified path.
Save the model to the specified path.
The path to save the model. Local file system, HDFS and Amazon S3 are supported. HDFS path should be like "hdfs://[host]:[port]/xxx". Amazon S3 path should be like "s3a://bucket/xxx".
The path to save weights. Default is null.
Whether to overwrite the file if it already exists. Default is false.
Set the model to be in evaluate status, i.e.
Set the model to be in evaluate status, i.e. remove the effect of Dropout, etc.
Print out the summary of the model.
Print out the summary of the model.
(Since version 0.3.0) please use recommended saveModule(path, overWrite)
The anomaly detector model for sequence data based on LSTM.
Numeric type of parameter(e.g. weight, bias). Only support float/double now.