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Merge pull request #8 from MindFoundry/1.3.5
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Upgrade to v1.3.5
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csymeonides-mf authored Nov 30, 2018
2 parents c6ab905 + fefb500 commit 5bd0d72
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2 changes: 1 addition & 1 deletion Dockerfile
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Expand Up @@ -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/[email protected].4')"
RUN Rscript -e "options(unzip = 'internal'); devtools::install_github('MindFoundry/[email protected].5')"

CMD ["jupyter", "notebook", "--ip", "0.0.0.0"]
4 changes: 1 addition & 3 deletions notebooks/R/02. Multi Objective.ipynb
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Expand Up @@ -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:[email protected]\">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."
]
},
{
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4 changes: 1 addition & 3 deletions notebooks/python/05. Multi Objective.ipynb
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Expand Up @@ -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:[email protected]\">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)."
]
},
{
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2 changes: 1 addition & 1 deletion requirements.txt
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@@ -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

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