use of org.knime.base.node.mine.treeensemble.data.TreeMetaData in project knime-core by knime.
the class RegressionTreeModel method load.
/**
* Loads and returns new ensemble model, input is NOT closed afterwards.
*
* @param in ...
* @param exec ...
* @return ...
* @throws IOException ...
* @throws CanceledExecutionException ...
*/
public static RegressionTreeModel load(final InputStream in, final ExecutionMonitor exec) throws IOException, CanceledExecutionException {
// wrapping the argument (zip input) stream in a buffered stream
// reduces read operation from, e.g. 42s to 2s
TreeModelDataInputStream input = new TreeModelDataInputStream(new BufferedInputStream(new NonClosableInputStream(in)));
int version = input.readInt();
if (version > 20140201) {
throw new IOException("Tree Ensemble version " + version + " not supported");
}
TreeType type = TreeType.load(input);
TreeMetaData metaData = TreeMetaData.load(input);
boolean isRegression = metaData.isRegression();
TreeModelRegression model;
try {
model = TreeModelRegression.load(input, metaData);
if (input.readByte() != 0) {
throw new IOException("Model not terminated by 0 byte");
}
} catch (IOException e) {
throw new IOException("Can't read tree model. " + e.getMessage(), e);
}
// does not close the method argument stream!!
input.close();
return new RegressionTreeModel(metaData, model, type);
}
use of org.knime.base.node.mine.treeensemble.data.TreeMetaData in project knime-core by knime.
the class TreeEnsembleModel method load.
/**
* Loads and returns new ensemble model, input is NOT closed afterwards.
*
* @param in ...
* @param exec ...
* @return ...
* @throws IOException ...
* @throws CanceledExecutionException ...
*/
public static TreeEnsembleModel load(final InputStream in, final ExecutionMonitor exec) throws IOException, CanceledExecutionException {
// wrapping the argument (zip input) stream in a buffered stream
// reduces read operation from, e.g. 42s to 2s
TreeModelDataInputStream input = new TreeModelDataInputStream(new BufferedInputStream(new NonClosableInputStream(in)));
int version = input.readInt();
if (version > 20140201) {
throw new IOException("Tree Ensemble version " + version + " not supported");
}
TreeType type = TreeType.load(input);
TreeMetaData metaData = TreeMetaData.load(input);
int nrModels = input.readInt();
boolean containsClassDistribution;
if (version == 20121019) {
containsClassDistribution = true;
} else {
containsClassDistribution = input.readBoolean();
}
input.setContainsClassDistribution(containsClassDistribution);
AbstractTreeModel[] models = new AbstractTreeModel[nrModels];
boolean isRegression = metaData.isRegression();
for (int i = 0; i < nrModels; i++) {
AbstractTreeModel singleModel;
try {
singleModel = isRegression ? TreeModelRegression.load(input, metaData) : TreeModelClassification.load(input, metaData);
if (input.readByte() != 0) {
throw new IOException("Model not terminated by 0 byte");
}
} catch (IOException e) {
throw new IOException("Can't read tree model " + (i + 1) + "/" + nrModels + ": " + e.getMessage(), e);
}
models[i] = singleModel;
}
// does not close the method argument stream!!
input.close();
return new TreeEnsembleModel(metaData, models, type, containsClassDistribution);
}
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