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Merge pull request #8 from MindFoundry/1.3.5
Upgrade to v1.3.5
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@@ -11,6 +11,6 @@ COPY --chown=1000 . ${HOME} | |
WORKDIR ${HOME} | ||
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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')" | ||
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CMD ["jupyter", "notebook", "--ip", "0.0.0.0"] |
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@@ -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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@@ -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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@@ -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 |