Avoid unicode issues caused by unicode in GE13 test set file names.
Updated unicode fix to survive also cases where id == None.
First work for integrating scikit-learn.
Predicting finally works after setting n_features in load_svmlight_file.
Predicting probabilities works.
An optional debug-parameter can be given when initializing a remote
connection.
Scikit-learn's SVM can now be used through a remote connection.
Working on generalizing the wrapper.
Removed OptionParser to enable non-predefined argument types.
At least the Perceptron works. Apparently random forests can't us sparse
data.
More classifiers
Load any scikit classifier.
Remove the directory parameter from the job names.
The Python-ELM classifier.
Allow including Python code in scikit classifier parameters by using
eval. Code string parameters mean that ":"-characters can appear in
parameters as non-delimiters (for example in Python dictionaries) so
Utils.Parameters is updated to ignore delimiters within parentheses,
brackets and curly braces. Taking this into account, the job id strings
generated from parameters in Classifiers.ExternalClassifier are
sanitized to include only characters valid for filenames.
Use named arguments with two consecutive hyphens for scikit-learn
wrapper's own parameters.
Testing transform.
Reverted back to previous.
Uncommitted changes.
BioNLP'13 corpora probably won't change anymore, so a pre-converted
package can be used to speed up the install process.