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| auxmvc_DAG | |||
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auxmvc_analysis_job A basic auxmvc job class. |
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build_auxmvc_vectors_job Job for building auxmvc feature vectors. |
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build_auxmvc_vectors_node Dag node for building auxmvc feature vector. |
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prepare_training_auxmvc_samples_job Job for preparing training auxmvc samples. |
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prepare_training_auxmvc_samples_node Node for preparing training auxmvc samples job. |
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add_file_to_cache_job Job for preparing training auxmvc samples. |
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add_file_to_cache_node Node for preparing training auxmvc samples job. |
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train_forest_job Training job for random forest (MVSC). |
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train_forest_node Dag node for training the random forest (MVSC). |
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use_forest_job Job using random forest to evaluate unclassified data. |
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use_forest_node Node for radnom forest evaluation job. |
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forest_add_excluded_vars_job A simple fix job that adds the variables excluded by forest (MVSC) from classification into the output file. |
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forest_add_excluded_vars_node Node for forest_add_excluded_vars_job. |
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plot_channels_significance_job Job that makes verious plots and histograms using significance of the axuiloary channels. |
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plot_channels_significance_node Node for plot_channels_significance_job. |
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result_plots_job Job that makes plots based on results of evaluation e.g. |
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result_plots_node Node for result_plots_job. |
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| use_svm_job | |||
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use_svm_node Node for SVM evaluation job. |
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train_svm_job Training job for svm. |
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train_svm_node Node for SVM train job. |
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convert_annfile_job Job for converting pat files to FANN type files. |
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convert_annfile_node Dag node for converting pat files to FANN type files. |
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train_ann_job Training job for Artifical Neural Networks (ANN) with iRPROP- algorithm. |
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train_ann_node Dag node for training the Artificial Neural Networks (ANN) with iRPROP- algorithm. |
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use_ann_job Job using ANN to evaluate unclassified data. |
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use_ann_node Node for ANN evaluation job. |
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