Bayesian optimization tests

NazBen · Oct 25, 2017 · 46f2a2f · 46f2a2f
1 parent 59693ad
commit 46f2a2f
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Showing 6 changed files with 50,416 additions and 768 deletions.
diff --git a/.gitignore b/.gitignore
@@ -234,3 +234,4 @@ _Pvt_Extensions/
 ModelManifest.xml
 *.pyperf
 *.hdf5
+.cache/v/cache
diff --git a/examples/bayesian-optimization-dependencies.ipynb b/examples/bayesian-optimization-dependencies.ipynb
diff --git a/examples/bayesian-optimization.ipynb b/examples/bayesian-optimization.ipynb
@@ -1463,17 +1463,17 @@
     }
    ],
    "source": [
-    "n_random_start = 50\n",
+    "n_random_starts = 50\n",
     "n_iter = 100\n",
     "n_estimators = 200\n",
-    "min_samples_split = max(2, int(n_random_start/10))\n",
+    "min_samples_split = max(2, int(n_random_starts/10))\n",
     "rfq = ModifiedRandomForestQuantileRegressor(n_estimators, min_samples_split=min_samples_split, n_jobs=7)\n",
     "n_calls = n_random_start + n_iter\n",
     "space = [(xmin, xmax)]\n",
     "acq_func = 'EI'\n",
     "\n",
     "opt_res = forest_minimize(func, space, acq_func=acq_func, base_estimator=rfq,\n",
-    "                      n_calls=n_calls, n_random_starts=n_random_start, n_jobs=7, verbose=True)"
+    "                      n_calls=n_calls, n_random_starts=n_random_starts, n_jobs=7, verbose=True)"
    ]
   },
   {
@@ -1822,7 +1822,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.6.2"
   }
  },
  "nbformat": 4,

diff --git a/examples/dep_bayesian_optim_ns_1000_niter_10_EI.gif b/examples/dep_bayesian_optim_ns_1000_niter_10_EI.gif
diff --git a/examples/dep_bayesian_optim_ns_10_niter_5_EI.gif b/examples/dep_bayesian_optim_ns_10_niter_5_EI.gif
diff --git a/examples/dep_bayesian_optim_ns_50_niter_50_EI.gif b/examples/dep_bayesian_optim_ns_50_niter_50_EI.gif