diff --git a/README.md b/README.md index d598897..56ae65b 100644 --- a/README.md +++ b/README.md @@ -44,6 +44,9 @@ chopin2 --dimensionality 10000 \ --levels 100 \ --retrain 10 \ --pickle ../dataset/isolet/isolet.pkl \ + --psplit_training 80 \ + --dump \ + --nproc 4 \ --verbose ``` @@ -53,6 +56,7 @@ chopin2 --dimensionality 10000 \ --levels 100 \ --retrain 10 \ --pickle ../dataset/isolet/isolet.pkl \ + --psplit_training 80 \ --dump \ --spark \ --slices 10 \ @@ -64,17 +68,15 @@ chopin2 --dimensionality 10000 \ List of standard arguments: ``` --dimensionality -- Dimensionality of the HD model (default 10000) ---levels -- Number of level hypervectors +--levels -- Number of level hypervectors (default 2) --retrain -- Number of retraining iterations (default 0) --stop -- Stop retraining if the error rate does not change (default False) --dataset -- Path to the dataset file --fieldsep -- Field separator (default ",") ---training -- Percentage of observations that will be used to train the model. - The remaining percentage will be used to test the classification model (default 80.0) ---k_folds -- Number of folds for cross validation. +--psplit_training -- Percentage of observations that will be used to train the model. + The remaining percentage will be used to test the classification model +--crossv_k -- Number of folds for cross validation. Cross validate HD models if --k_folds greater than 1 ---auto_folds -- Automatically estimate the number of folds for cross validation. - It automatically override --k_folds --seed -- Seed for reproducing random sampling of the observations in the dataset and build both the training and test set (default 0) --pickle -- Path to the pickle file. If specified, "--dataset", "--fieldsep", and "--training" parameters are not used