# pool_size : 1 # =LoadLeveler= # Specify parameters for the loadl backend for the cluster. # By default the total number of available CPUs is used. # See: # external_nodes = # = # = Operation specific options = # = # WEKA operation # The java class path used for WEKA # weka_class_path: ~weka-3-6-0/weka.jar:/home/user/weka-additional # = # = Backend specific options = # = # =Local= # Number of used CPUs for parallelization. # Note, that still double naming is forbidden and crashes the software. # Furthermore, the corresponding path is added to the local system path. # Default: empty list # external_nodes: #python_path: # - /usr/lib/python2.5/site-packages # - /usr/lib/python2.5/lib-dynload/ # - /usr/lib/python2.5 # - /var/lib/python-support/python2.5/ # - /usr/lib/python2.5/lib-tk/ # = # = Node specific options = # = # If you want to have your own nodes outside the normal pySPACE structure # this parameter lists external folders which where also scanned for nodes. file_log_level : logging.INFO # The Python path that should be used during the experiment # Paths normally available in Python do not have to be mentioned # This part of setting paths is especially good to use alternative libraries, # since the paths here get priority. # Be careful, that the file can get quite large when using DEBUG or INFO. # This file can be then found in your currently result folder.
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console_log_level : logging.WARNING # The minimum level, log message must have to be written to the operation log file. # If you get to much output, just use 'logging.CRITICAL'. # When using backends like the loadl backend the stdout is redirected to a file. # Levels are based on the Python logging package # possible levels are logging. # Default: $home_dir/pySPACEcenter/specs spec_dir : ~/pySPACEcenter/specs/ # The minimum level, log message must have to be printed to the stdout.
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# Default: $home_dir/pySPACEcenter/storage storage : ~/pySPACEcenter/storage # The directory in which the configuration/specification files for operations, # operation chains, WEKA and pySPACE related options are stored. # To specify this directory is very very important. # The directory from which data is loaded and stored to. # The others are only relevant for special components. # = # = Main Parameters = # = # These parameters are the most important for pySPACE. # Normally the default is quite useful und you won't have to change something, # especially, when using the pySPACEcenter default configuration file. # Each possible parameter is mentioned here and its default value. # This is the standard default configuration file. Which are described by mathematical programsĬurrently needed only for PCA, ICA, FDA but more could be integratedĬollection of slight modifications by the pySPACE developers
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Optimization toolbox, used for the construction of some classifiers, If you have access use modified version in external repository. Module and can be used like normal nodes.īe careful that the Python bindings are installed correctly. Many scikit algorithms are available wrapped via the multi_resultset_full ( 0, comparison_col )) print ( tester. header ( comparison_col )) print ( tester. resultmatrix = matrix comparison_col = data. load_file ( result ) from weka.experiments import Tester, ResultMatrix matrix = ResultMatrix ( classname = "" ) tester = Tester ( classname = "" ) tester. loader_for_file ( result ) data = loader. Datasets = classifiers = result = "exp.arff" from weka.experiments import SimpleCrossValidationExperiment exp = SimpleCrossValidationExperiment ( classification = True, runs = 10, folds = 10, datasets = datasets, classifiers = classifiers, result = result ) exp.