Merge pull request #193 from resibots/fix-quickstart [ci skip]

Fix quickstart

docs/tutorials/quick_start.rst

@@ -35,6 +35,7 @@ For Ubuntu / Debian:
   ./configure -with-cxx --enable-shared --without-python --without-matlab --without-octave
   sudo make install
   sudo ldconfig
+  cd ..
 
 For OSX:
 ::
@@ -43,6 +44,7 @@ For OSX:
   tar -zxvf nlopt-2.4.2.tar.gz && cd nlopt-2.4.2
   ./configure --with-cxx --enable-shared --without-python --without-matlab --without-octave
   sudo make install
+  cd ..
 
 
 For more options and troubleshooting, see the :ref:`Compilation tutorial <compilation-tutorial>`.
@@ -50,6 +52,9 @@ For more options and troubleshooting, see the :ref:`Compilation tutorial <compil
 Compile Limbo
 -----------------
 
+To get **limbo**, simply clone the source code from https://github.com/resibots/limbo with git, or download it
+as a zip. To compile it:
+   
 ::
 
   ./waf configure

waf_tools/exp_template.cpp

@@ -26,7 +26,7 @@ struct Params {
 #endif
 
     struct bayes_opt_bobase : public defaults::bayes_opt_bobase {
-        @BAYES_OPT_BOBASE_STATS_ENABLED
+        @BAYES_OPT_BOBASE_STATS_DISABLED
     };
 
     struct kernel_exp : public defaults::kernel_exp {

waf_tools/limbo.py

@@ -65,7 +65,7 @@ def add_create_options(opt):
     opt.add_option('--dim_in', type='int', dest='dim_in', help='Number of dimensions for the function to optimize [default: 1]')
     opt.add_option('--dim_out', type='int', dest='dim_out', help='Number of dimensions for the function to optimize [default: 1]')
     opt.add_option('--bayes_opt_boptimizer_noise', type='float', dest='bayes_opt_boptimizer_noise', help='Acquisition noise of the function to optimize [default: 1e-6]')
-    opt.add_option('--bayes_opt_bobase_stats_enabled', action='store_true', dest='bayes_opt_bobase_stats_enabled', help='Enable statistics [default: true]')
+    opt.add_option('--bayes_opt_bobase_stats_disabled', action='store_true', dest='bayes_opt_bobase_stats_disabled', help='Disable statistics [default: false]')
     opt.add_option('--init_randomsampling_samples', type='int', dest='init_randomsampling_samples', help='Number of samples used for the initialization [default: 10]')
     opt.add_option('--stop_maxiterations_iterations', type='int', dest='stop_maxiterations_iterations', help='Number of iterations performed before stopping the optimization [default: 190]')
 
@@ -117,7 +117,7 @@ def create_exp(name, opt):
 
     cpp_params = {}
     cpp_params['BAYES_OPT_BOPTIMIZER_NOISE'] = '    BO_PARAM(double, noise, ' + str(opt.bayes_opt_boptimizer_noise) + ');\n    ' if opt.bayes_opt_boptimizer_noise and opt.bayes_opt_boptimizer_noise >= 0 else ''
-    cpp_params['BAYES_OPT_BOBASE_STATS_ENABLED'] = '' if opt.bayes_opt_bobase_stats_enabled else '    BO_PARAM(bool, stats_enabled, false);\n    '
+    cpp_params['BAYES_OPT_BOBASE_STATS_DISABLED'] = '    BO_PARAM(bool, stats_enabled, false);\n    ' if opt.bayes_opt_bobase_stats_disabled else ''
     cpp_params['INIT_RANDOMSAMPLING_SAMPLES'] = '    BO_PARAM(int, samples, ' + str(opt.init_randomsampling_samples) + ');\n    ' if opt.init_randomsampling_samples and opt.init_randomsampling_samples > 0  else ''
     cpp_params['STOP_MAXITERATIONS_ITERATIONS'] = '    BO_PARAM(int, iterations, ' + str(opt.stop_maxiterations_iterations) + ');\n    ' if opt.stop_maxiterations_iterations and opt.stop_maxiterations_iterations > 0 else ''