Merge pull request #8 from MindFoundry/1.3.5

Upgrade to v1.3.5
MindFoundry · Nov 30, 2018 · 5bd0d72 · 5bd0d72
2 parents c6ab905 + fefb500
commit 5bd0d72
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Showing 4 changed files with 4 additions and 8 deletions.
diff --git a/Dockerfile b/Dockerfile
@@ -11,6 +11,6 @@ COPY --chown=1000 . ${HOME}
 WORKDIR ${HOME}
 
 RUN pip install -r requirements.txt
-RUN Rscript -e "options(unzip = 'internal'); devtools::install_github('MindFoundry/optaas-r-client@1.3.4')"
+RUN Rscript -e "options(unzip = 'internal'); devtools::install_github('MindFoundry/optaas-r-client@1.3.5')"
 
 CMD ["jupyter", "notebook", "--ip", "0.0.0.0"]
diff --git a/notebooks/R/02. Multi Objective.ipynb b/notebooks/R/02. Multi Objective.ipynb
@@ -8,9 +8,7 @@
     "\n",
     "### <span style=\"color:red\">Note:</span> To run this notebook, you need an API Key. You can get one <a href=\"mailto:charles.brecque@mindfoundry.ai\">here</a>.\n",
     "\n",
-    "OPTaaS can optimize multiple objectives within a single Task. Your scoring function should return a named list of scores for each objective.\n",
-    "\n",
-    "Please note: `ChoiceParameters` and any parameter with `optional=TRUE` are not currently supported for multi-objective tasks."
+    "OPTaaS can optimize multiple objectives within a single Task. Your scoring function should return a named list of scores for each objective."
    ]
   },
   {

diff --git a/notebooks/python/05. Multi Objective.ipynb b/notebooks/python/05. Multi Objective.ipynb
@@ -8,9 +8,7 @@
     "\n",
     "### <span style=\"color:red\">Note:</span> To run this notebook, you need an API Key. You can get one <a href=\"mailto:charles.brecque@mindfoundry.ai\">here</a>.\n",
     "\n",
-    "OPTaaS can optimize multiple objectives within a single Task. Your scoring function should return a dictionary of scores for each objective. You can also optionally return a dictionary of variances for each objective (i.e. return a tuple of dictionaries).\n",
-    "\n",
-    "Please note: `ChoiceParameters` and any parameter with `optional=True` are not currently supported for multi-objective tasks."
+    "OPTaaS can optimize multiple objectives within a single Task. Your scoring function should return a dictionary of scores for each objective. You can also optionally return a dictionary of variances for each objective (i.e. return a tuple of dictionaries)."
    ]
   },
   {

diff --git a/requirements.txt b/requirements.txt
@@ -1,4 +1,4 @@
 scikit-learn>=0.19.2
 pandas>=0.23.4
 matplotlib>=2.2.3
-mindfoundry-optaas-client==1.3.4
+mindfoundry-optaas-client==1.3.5