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doc
doc
 
 
sh
sh
 
 
.gitignore
.gitignore
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 
R_fixed_datasizes_shuffled.m
R_fixed_datasizes_shuffled.m
 
 
R_fixed_datasizes_test_on_cores.m
R_fixed_datasizes_test_on_cores.m
 
 
R_mixed_datasizes_shuffled.m
R_mixed_datasizes_shuffled.m
 
 
R_mixed_datasizes_test_on_cores.m
R_mixed_datasizes_test_on_cores.m
 
 
R_query_comparison.m
R_query_comparison.m
 
 
build_ernest_matrix.m
build_ernest_matrix.m
 
 
clear_outliers.m
clear_outliers.m
 
 
clear_outliers_ncores.m
clear_outliers_ncores.m
 
 
compare_accuracy.m
compare_accuracy.m
 
 
compare_accuracy_big.m
compare_accuracy_big.m
 
 
compare_accuracy_one_col.m
compare_accuracy_one_col.m
 
 
compare_prediction_errors.m
compare_prediction_errors.m
 
 
compute_chi.m
compute_chi.m
 
 
compute_waves_prediction.m
compute_waves_prediction.m
 
 
ernest_cases.m
ernest_cases.m
 
 
find_configurations.m
find_configurations.m
 
 
funky_prediction.m
funky_prediction.m
 
 
get_all_data_from_dirs.m
get_all_data_from_dirs.m
 
 
learn_ernest_from_summary.m
learn_ernest_from_summary.m
 
 
learn_ernest_model.m
learn_ernest_model.m
 
 
learn_spark_model.m
learn_spark_model.m
 
 
learning_curves.m
learning_curves.m
 
 
make_table_ernest.m
make_table_ernest.m
 
 
model_selection.m
model_selection.m
 
 
model_selection_weights.m
model_selection_weights.m
 
 
model_selection_with_thresholds.m
model_selection_with_thresholds.m
 
 
my_scatter.m
my_scatter.m
 
 
optimize_configuration_ds4c.m
optimize_configuration_ds4c.m
 
 
optimize_configuration_span.m
optimize_configuration_span.m
 
 
parse_framework_results.m
parse_framework_results.m
 
 
plot_MSE.m
plot_MSE.m
 
 
plot_R.m
plot_R.m
 
 
plot_comparing_models.m
plot_comparing_models.m
 
 
plot_learning_curves.m
plot_learning_curves.m
 
 
predict_via_ernest.m
predict_via_ernest.m
 
 
preliminary_prediction_plot.m
preliminary_prediction_plot.m
 
 
print_R_2D.m
print_R_2D.m
 
 
print_R_plot.m
print_R_plot.m
 
 
print_dagsim_results.m
print_dagsim_results.m
 
 
print_learning_curve.m
print_learning_curve.m
 
 
read_csv_table.m
read_csv_table.m
 
 
read_data.m
read_data.m
 
 
read_from_directory.m
read_from_directory.m
 
 
real_configuration_span.m
real_configuration_span.m
 
 
relative_error.m
relative_error.m
 
 
rescale.m
rescale.m
 
 
retrieve_response_times_with_formula.m
retrieve_response_times_with_formula.m
 
 
skeleton_query_Q.m
skeleton_query_Q.m
 
 
skeleton_query_Q_all_datasize.m
skeleton_query_Q_all_datasize.m
 
 
skeleton_query_comparison.m
skeleton_query_comparison.m
 
 
split_sample.m
split_sample.m
 
 
template.tex
template.tex
 
 

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Hadoop SVM

A collection of Octave scripts and functions to apply Support Vector Regression to Hadoop jobs, in order to obtain a performance model. These m-files depend on LIBSVM. All code in this repository is licensed under the Apache License, version 2.0.

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