Repository: sustainable-processes/summit (language: python)

Issue:
Prevent naming variables python keywords
Python keywords such as `yield` should not be used as variable names due to the use of the eval() syntax in `MultitoSingleObjective`.


Discussion / hints:

Fix patch:
diff --git a/poetry.lock b/poetry.lock
index 09c36199..b7fedce4 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -84,17 +84,17 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [[package]]
 name = "attrs"
-version = "20.3.0"
+version = "21.2.0"
 description = "Classes Without Boilerplate"
 category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
 [package.extras]
-dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "zope.interface", "furo", "sphinx", "pre-commit"]
-docs = ["furo", "sphinx", "zope.interface"]
-tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "zope.interface"]
-tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six"]
+dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "zope.interface", "furo", "sphinx", "sphinx-notfound-page", "pre-commit"]
+docs = ["furo", "sphinx", "zope.interface", "sphinx-notfound-page"]
+tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "zope.interface"]
+tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins"]
 
 [[package]]
 name = "autograd"
@@ -110,7 +110,7 @@ numpy = ">=1.12"
 
 [[package]]
 name = "babel"
-version = "2.9.0"
+version = "2.9.1"
 description = "Internationalization utilities"
 category = "main"
 optional = true
@@ -214,20 +214,20 @@ python-versions = "*"
 
 [[package]]
 name = "boto3"
-version = "1.17.53"
+version = "1.17.72"
 description = "The AWS SDK for Python"
 category = "main"
 optional = true
 python-versions = ">= 2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
 
 [package.dependencies]
-botocore = ">=1.20.53,<1.21.0"
+botocore = ">=1.20.72,<1.21.0"
 jmespath = ">=0.7.1,<1.0.0"
-s3transfer = ">=0.3.0,<0.4.0"
+s3transfer = ">=0.4.0,<0.5.0"
 
 [[package]]
 name = "botocore"
-version = "1.20.53"
+version = "1.20.72"
 description = "Low-level, data-driven core of boto 3."
 category = "main"
 optional = true
@@ -239,7 +239,7 @@ python-dateutil = ">=2.1,<3.0.0"
 urllib3 = ">=1.25.4,<1.27"
 
 [package.extras]
-crt = ["awscrt (==0.10.8)"]
+crt = ["awscrt (==0.11.15)"]
 
 [[package]]
 name = "botorch"
@@ -319,7 +319,7 @@ python-versions = "*"
 
 [[package]]
 name = "cachetools"
-version = "4.2.1"
+version = "4.2.2"
 description = "Extensible memoizing collections and decorators"
 category = "main"
 optional = true
@@ -354,11 +354,14 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
 [[package]]
 name = "click"
-version = "7.1.2"
+version = "8.0.0"
 description = "Composable command line interface toolkit"
 category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = ">=3.6"
+
+[package.dependencies]
+colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [[package]]
 name = "cma"
@@ -528,32 +531,34 @@ smmap = ">=3.0.1,<5"
 
 [[package]]
 name = "gitpython"
-version = "3.1.14"
+version = "3.1.16"
 description = "Python Git Library"
 category = "main"
 optional = true
-python-versions = ">=3.4"
+python-versions = ">=3.5"
 
 [package.dependencies]
 gitdb = ">=4.0.1,<5"
+typing-extensions = {version = ">=3.7.4.0", markers = "python_version < \"3.8\""}
 
 [[package]]
 name = "gpy"
-version = "1.9.9"
+version = "1.10.0"
 description = "The Gaussian Process Toolbox"
 category = "main"
 optional = false
 python-versions = "*"
 
 [package.dependencies]
+cython = ">=0.29"
 numpy = ">=1.7"
 paramz = ">=0.9.0"
-scipy = ">=0.16"
+scipy = ">=1.3.0"
 six = "*"
 
 [package.extras]
 docs = ["sphinx"]
-notebook = ["jupyter-client (>=4.0.6)", "ipywidgets (>=4.0.3)", "ipykernel (>=4.1.0)", "notebook (>=4.0.5)"]
+notebook = ["jupyter_client (>=4.0.6)", "ipywidgets (>=4.0.3)", "ipykernel (>=4.1.0)", "notebook (>=4.0.5)"]
 optional = ["mpi4py", "ipython (>=4.0.0)"]
 plotting = ["matplotlib (>=3.0)", "plotly (>=1.8.6)"]
 
@@ -641,7 +646,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [[package]]
 name = "importlib-metadata"
-version = "3.10.1"
+version = "4.0.1"
 description = "Read metadata from Python packages"
 category = "main"
 optional = false
@@ -669,7 +674,7 @@ toml = {version = ">=0.10.2", markers = "python_version > \"3.6\""}
 
 [[package]]
 name = "ipykernel"
-version = "5.5.3"
+version = "5.5.5"
 description = "IPython Kernel for Jupyter"
 category = "main"
 optional = true
@@ -687,7 +692,7 @@ test = ["pytest (!=5.3.4)", "pytest-cov", "flaky", "nose", "jedi (<=0.17.2)"]
 
 [[package]]
 name = "ipython"
-version = "7.22.0"
+version = "7.23.1"
 description = "IPython: Productive Interactive Computing"
 category = "main"
 optional = false
@@ -699,6 +704,7 @@ backcall = "*"
 colorama = {version = "*", markers = "sys_platform == \"win32\""}
 decorator = "*"
 jedi = ">=0.16"
+matplotlib-inline = "*"
 pexpect = {version = ">4.3", markers = "sys_platform != \"win32\""}
 pickleshare = "*"
 prompt-toolkit = ">=2.0.0,<3.0.0 || >3.0.0,<3.0.1 || >3.0.1,<3.1.0"
@@ -745,11 +751,11 @@ test = ["pytest (>=3.6.0)", "pytest-cov", "mock"]
 
 [[package]]
 name = "itsdangerous"
-version = "1.1.0"
-description = "Various helpers to pass data to untrusted environments and back."
+version = "2.0.0"
+description = "Safely pass data to untrusted environments and back."
 category = "main"
 optional = true
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=3.6"
 
 [[package]]
 name = "jedi"
@@ -920,15 +926,15 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "markupsafe"
-version = "1.1.1"
+version = "2.0.0"
 description = "Safely add untrusted strings to HTML/XML markup."
 category = "main"
 optional = true
-python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*"
+python-versions = ">=3.6"
 
 [[package]]
 name = "matplotlib"
-version = "3.4.1"
+version = "3.4.2"
 description = "Python plotting package"
 category = "main"
 optional = false
@@ -942,6 +948,17 @@ pillow = ">=6.2.0"
 pyparsing = ">=2.2.1"
 python-dateutil = ">=2.7"
 
+[[package]]
+name = "matplotlib-inline"
+version = "0.1.2"
+description = "Inline Matplotlib backend for Jupyter"
+category = "main"
+optional = false
+python-versions = ">=3.5"
+
+[package.dependencies]
+traitlets = "*"
+
 [[package]]
 name = "mistune"
 version = "0.8.4"
@@ -1052,15 +1069,15 @@ test = ["check-manifest", "fastjsonschema", "testpath", "pytest", "pytest-cov"]
 
 [[package]]
 name = "nbsphinx"
-version = "0.7.1"
+version = "0.8.5"
 description = "Jupyter Notebook Tools for Sphinx"
 category = "main"
 optional = true
-python-versions = ">=3"
+python-versions = ">=3.6"
 
 [package.dependencies]
 docutils = "*"
-jinja2 = "*"
+jinja2 = ">=2.11,<3.0"
 nbconvert = "!=5.4"
 nbformat = "*"
 sphinx = ">=1.8"
@@ -1140,7 +1157,7 @@ numpy = ">=1.15"
 
 [[package]]
 name = "numpy"
-version = "1.20.2"
+version = "1.20.3"
 description = "NumPy is the fundamental package for array computing with Python."
 category = "main"
 optional = false
@@ -1161,12 +1178,15 @@ signedtoken = ["cryptography", "pyjwt (>=1.0.0)"]
 
 [[package]]
 name = "opencv-python"
-version = "4.5.1.48"
+version = "4.5.2.52"
 description = "Wrapper package for OpenCV python bindings."
 category = "main"
 optional = true
 python-versions = ">=3.6"
 
+[package.dependencies]
+numpy = ">=1.13.3"
+
 [[package]]
 name = "packaging"
 version = "20.9"
@@ -1325,7 +1345,7 @@ wcwidth = "*"
 
 [[package]]
 name = "protobuf"
-version = "3.15.8"
+version = "3.17.0"
 description = "Protocol Buffers"
 category = "main"
 optional = true
@@ -1352,7 +1372,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [[package]]
 name = "pyarrow"
-version = "3.0.0"
+version = "4.0.0"
 description = "Python library for Apache Arrow"
 category = "main"
 optional = true
@@ -1389,7 +1409,7 @@ testing = ["pytest"]
 
 [[package]]
 name = "pygments"
-version = "2.8.1"
+version = "2.9.0"
 description = "Pygments is a syntax highlighting package written in Python."
 category = "main"
 optional = false
@@ -1397,7 +1417,7 @@ python-versions = ">=3.5"
 
 [[package]]
 name = "pyjwt"
-version = "2.0.1"
+version = "2.1.0"
 description = "JSON Web Token implementation in Python"
 category = "main"
 optional = true
@@ -1620,7 +1640,7 @@ dev = ["pytest"]
 
 [[package]]
 name = "s3transfer"
-version = "0.3.7"
+version = "0.4.2"
 description = "An Amazon S3 Transfer Manager"
 category = "main"
 optional = true
@@ -1629,9 +1649,12 @@ python-versions = "*"
 [package.dependencies]
 botocore = ">=1.12.36,<2.0a.0"
 
+[package.extras]
+crt = ["botocore[crt] (>=1.20.29,<2.0a.0)"]
+
 [[package]]
 name = "scikit-learn"
-version = "0.24.1"
+version = "0.24.2"
 description = "A set of python modules for machine learning and data mining"
 category = "main"
 optional = false
@@ -1678,7 +1701,7 @@ python-versions = ">=2.5, !=3.0.*, !=3.1.*, !=3.2.*"
 
 [[package]]
 name = "six"
-version = "1.15.0"
+version = "1.16.0"
 description = "Python 2 and 3 compatibility utilities"
 category = "main"
 optional = false
@@ -1945,7 +1968,7 @@ widechars = ["wcwidth"]
 
 [[package]]
 name = "terminado"
-version = "0.9.4"
+version = "0.9.5"
 description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library."
 category = "main"
 optional = true
@@ -1953,7 +1976,7 @@ python-versions = ">=3.6"
 
 [package.dependencies]
 ptyprocess = {version = "*", markers = "os_name != \"nt\""}
-pywinpty = {version = ">=0.5", markers = "os_name == \"nt\""}
+pywinpty = {version = ">=0.5,<1", markers = "os_name == \"nt\""}
 tornado = ">=4"
 
 [package.extras]
@@ -2051,7 +2074,7 @@ python-versions = "*"
 
 [[package]]
 name = "typing-extensions"
-version = "3.7.4.3"
+version = "3.10.0.0"
 description = "Backported and Experimental Type Hints for Python 3.5+"
 category = "main"
 optional = false
@@ -2098,7 +2121,7 @@ test = ["pytest (>=2.2.3)", "flake8 (>=2.4.0)", "isort (>=4.2.2)"]
 
 [[package]]
 name = "watchdog"
-version = "2.0.2"
+version = "2.1.1"
 description = "Filesystem events monitoring"
 category = "main"
 optional = true
@@ -2133,7 +2156,7 @@ python-versions = "*"
 
 [[package]]
 name = "websocket-client"
-version = "0.58.0"
+version = "0.59.0"
 description = "WebSocket client for Python with low level API options"
 category = "main"
 optional = true
@@ -2144,14 +2167,13 @@ six = "*"
 
 [[package]]
 name = "werkzeug"
-version = "1.0.1"
+version = "2.0.0"
 description = "The comprehensive WSGI web application library."
 category = "main"
 optional = true
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = ">=3.6"
 
 [package.extras]
-dev = ["pytest", "pytest-timeout", "coverage", "tox", "sphinx", "pallets-sphinx-themes", "sphinx-issues"]
 watchdog = ["watchdog"]
 
 [[package]]
@@ -2194,7 +2216,7 @@ experiments = ["neptune-client", "hiplot", "paramiko", "pyrecorder", "xlrd", "st
 [metadata]
 lock-version = "1.1"
 python-versions = "^3.7"
-content-hash = "79c853ecb2ba5622b26fdb52692ad445c71cb537cfffb3685918121e92270f31"
+content-hash = "4124f8be241179b92e51b3b0b0578fe9bd0244a4f6a406193e2538ddedf7cb1d"
 
 [metadata.files]
 alabaster = [
@@ -2244,15 +2266,15 @@ atomicwrites = [
     {file = "atomicwrites-1.4.0.tar.gz", hash = "sha256:ae70396ad1a434f9c7046fd2dd196fc04b12f9e91ffb859164193be8b6168a7a"},
 ]
 attrs = [
-    {file = "attrs-20.3.0-py2.py3-none-any.whl", hash = "sha256:31b2eced602aa8423c2aea9c76a724617ed67cf9513173fd3a4f03e3a929c7e6"},
-    {file = "attrs-20.3.0.tar.gz", hash = "sha256:832aa3cde19744e49938b91fea06d69ecb9e649c93ba974535d08ad92164f700"},
+    {file = "attrs-21.2.0-py2.py3-none-any.whl", hash = "sha256:149e90d6d8ac20db7a955ad60cf0e6881a3f20d37096140088356da6c716b0b1"},
+    {file = "attrs-21.2.0.tar.gz", hash = "sha256:ef6aaac3ca6cd92904cdd0d83f629a15f18053ec84e6432106f7a4d04ae4f5fb"},
 ]
 autograd = [
     {file = "autograd-1.3.tar.gz", hash = "sha256:a15d147577e10de037de3740ca93bfa3b5a7cdfbc34cfb9105429c3580a33ec4"},
 ]
 babel = [
-    {file = "Babel-2.9.0-py2.py3-none-any.whl", hash = "sha256:9d35c22fcc79893c3ecc85ac4a56cde1ecf3f19c540bba0922308a6c06ca6fa5"},
-    {file = "Babel-2.9.0.tar.gz", hash = "sha256:da031ab54472314f210b0adcff1588ee5d1d1d0ba4dbd07b94dba82bde791e05"},
+    {file = "Babel-2.9.1-py2.py3-none-any.whl", hash = "sha256:ab49e12b91d937cd11f0b67cb259a57ab4ad2b59ac7a3b41d6c06c0ac5b0def9"},
+    {file = "Babel-2.9.1.tar.gz", hash = "sha256:bc0c176f9f6a994582230df350aa6e05ba2ebe4b3ac317eab29d9be5d2768da0"},
 ]
 backcall = [
     {file = "backcall-0.2.0-py2.py3-none-any.whl", hash = "sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255"},
@@ -2288,12 +2310,12 @@ blinker = [
     {file = "blinker-1.4.tar.gz", hash = "sha256:471aee25f3992bd325afa3772f1063dbdbbca947a041b8b89466dc00d606f8b6"},
 ]
 boto3 = [
-    {file = "boto3-1.17.53-py2.py3-none-any.whl", hash = "sha256:3bf3305571f3c8b738a53e9e7dcff59137dffe94670046c084a17f9fa4599ff3"},
-    {file = "boto3-1.17.53.tar.gz", hash = "sha256:1d26f6e7ae3c940cb07119077ac42485dcf99164350da0ab50d0f5ad345800cd"},
+    {file = "boto3-1.17.72-py2.py3-none-any.whl", hash = "sha256:ee3317fd79b443ef102469fac393a1ffb650ea51ac4fc27464013872c5e1ce31"},
+    {file = "boto3-1.17.72.tar.gz", hash = "sha256:3317722a1e9acbfc0d30cdf273d1708c823ceb19309e9cd91cac8a3604762341"},
 ]
 botocore = [
-    {file = "botocore-1.20.53-py2.py3-none-any.whl", hash = "sha256:d5e70d17b91c9b5867be7d6de0caa7dde9ed789bed62f03ea9b60718dc9350bf"},
-    {file = "botocore-1.20.53.tar.gz", hash = "sha256:e303500c4e80f6a706602da53daa6f751cfa8f491665c99a24ee732ab6321573"},
+    {file = "botocore-1.20.72-py2.py3-none-any.whl", hash = "sha256:2aaf439e3683e4ac7e0a4f5fc3cd6779418456f3bd6f40b3e474cb151bbceab9"},
+    {file = "botocore-1.20.72.tar.gz", hash = "sha256:0fa93a2e2daad5791c63ee526ada66896cc483d04cb2d32bfcadfeb881203453"},
 ]
 botorch = [
     {file = "botorch-0.3.3-py3-none-any.whl", hash = "sha256:d8883101dcf37051223bec5913c3f0600995f76d90e655edca4ecab6aa669ed4"},
@@ -2341,8 +2363,8 @@ cached-property = [
     {file = "cached_property-1.5.2-py2.py3-none-any.whl", hash = "sha256:df4f613cf7ad9a588cc381aaf4a512d26265ecebd5eb9e1ba12f1319eb85a6a0"},
 ]
 cachetools = [
-    {file = "cachetools-4.2.1-py3-none-any.whl", hash = "sha256:1d9d5f567be80f7c07d765e21b814326d78c61eb0c3a637dffc0e5d1796cb2e2"},
-    {file = "cachetools-4.2.1.tar.gz", hash = "sha256:f469e29e7aa4cff64d8de4aad95ce76de8ea1125a16c68e0d93f65c3c3dc92e9"},
+    {file = "cachetools-4.2.2-py3-none-any.whl", hash = "sha256:2cc0b89715337ab6dbba85b5b50effe2b0c74e035d83ee8ed637cf52f12ae001"},
+    {file = "cachetools-4.2.2.tar.gz", hash = "sha256:61b5ed1e22a0924aed1d23b478f37e8d52549ff8a961de2909c69bf950020cff"},
 ]
 certifi = [
     {file = "certifi-2020.12.5-py2.py3-none-any.whl", hash = "sha256:719a74fb9e33b9bd44cc7f3a8d94bc35e4049deebe19ba7d8e108280cfd59830"},
@@ -2392,8 +2414,8 @@ chardet = [
     {file = "chardet-4.0.0.tar.gz", hash = "sha256:0d6f53a15db4120f2b08c94f11e7d93d2c911ee118b6b30a04ec3ee8310179fa"},
 ]
 click = [
-    {file = "click-7.1.2-py2.py3-none-any.whl", hash = "sha256:dacca89f4bfadd5de3d7489b7c8a566eee0d3676333fbb50030263894c38c0dc"},
-    {file = "click-7.1.2.tar.gz", hash = "sha256:d2b5255c7c6349bc1bd1e59e08cd12acbbd63ce649f2588755783aa94dfb6b1a"},
+    {file = "click-8.0.0-py3-none-any.whl", hash = "sha256:e90e62ced43dc8105fb9a26d62f0d9340b5c8db053a814e25d95c19873ae87db"},
+    {file = "click-8.0.0.tar.gz", hash = "sha256:7d8c289ee437bcb0316820ccee14aefcb056e58d31830ecab8e47eda6540e136"},
 ]
 cma = [
     {file = "cma-2.7.0-py2.py3-none-any.whl", hash = "sha256:136e457c97e837152404b868c4ec6f163dee923fcee8b94ff446d13d4242b227"},
@@ -2501,23 +2523,21 @@ gitdb = [
     {file = "gitdb-4.0.7.tar.gz", hash = "sha256:96bf5c08b157a666fec41129e6d327235284cca4c81e92109260f353ba138005"},
 ]
 gitpython = [
-    {file = "GitPython-3.1.14-py3-none-any.whl", hash = "sha256:3283ae2fba31c913d857e12e5ba5f9a7772bbc064ae2bb09efafa71b0dd4939b"},
-    {file = "GitPython-3.1.14.tar.gz", hash = "sha256:be27633e7509e58391f10207cd32b2a6cf5b908f92d9cd30da2e514e1137af61"},
+    {file = "GitPython-3.1.16-py3-none-any.whl", hash = "sha256:37ac36cacf2e2be5e88f0810187c5833e71c1a2a8cf81588f5699d1b70183baa"},
+    {file = "GitPython-3.1.16.tar.gz", hash = "sha256:2bfcd25e6b81fe431fa3ab1f0975986cfddabf7870a323c183f3afbc9447c0c5"},
 ]
 gpy = [
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diff --git a/pyproject.toml b/pyproject.toml
index e74dac1c..e8727f8b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -42,7 +42,7 @@ neptune-client = {version= "^0.4.115", optional = true}
 hiplot = {version= "^0.1.12", optional = true}
 paramiko = {version="^2.7.1", optional=true}    
 sphinx = {version="^3.2.1", optional=true}
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 sphinx-rtd-theme = {version="^0.5.0", optional=true}
 pyrecorder = {version="^0.1.8", optional=true}
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diff --git a/summit/benchmarks/data/baumgartner_aniline_cn_crosscoupling.csv b/summit/benchmarks/data/baumgartner_aniline_cn_crosscoupling.csv
index a68d48ea..d670333a 100644
--- a/summit/benchmarks/data/baumgartner_aniline_cn_crosscoupling.csv
+++ b/summit/benchmarks/data/baumgartner_aniline_cn_crosscoupling.csv
@@ -1,4 +1,4 @@
-,catalyst,base,base_equivalents,temperature,t_res,yield
+,catalyst,base,base_equivalents,temperature,t_res,yld
 TYPE,DATA,DATA,DATA,DATA,DATA,DATA
 0,tBuXPhos,DBU,2.183015499,30,328.7178016,0.042832638
 1,tBuXPhos,BTMG,2.190881556,100,73.33119392,0.959689589
diff --git a/summit/benchmarks/data/reizman_suzuki_case_1.csv b/summit/benchmarks/data/reizman_suzuki_case_1.csv
index ecaec48d..88bf3dc9 100644
--- a/summit/benchmarks/data/reizman_suzuki_case_1.csv
+++ b/summit/benchmarks/data/reizman_suzuki_case_1.csv
@@ -1,4 +1,4 @@
-NAME,catalyst,t_res,temperature,catalyst_loading,ton,yield
+NAME,catalyst,t_res,temperature,catalyst_loading,ton,yld
 TYPE,DATA,DATA,DATA,DATA,DATA,DATA
 0,P1-L3,600,30,0.498,1.1,0.6
 1,P1-L6,600,30,2.515,0.2,0.6
diff --git a/summit/benchmarks/data/reizman_suzuki_case_2.csv b/summit/benchmarks/data/reizman_suzuki_case_2.csv
index 8fa8480d..faa2aad4 100644
--- a/summit/benchmarks/data/reizman_suzuki_case_2.csv
+++ b/summit/benchmarks/data/reizman_suzuki_case_2.csv
@@ -1,4 +1,4 @@
-NAME,catalyst,t_res,temperature,catalyst_loading,ton,yield
+NAME,catalyst,t_res,temperature,catalyst_loading,ton,yld
 TYPE,DATA,DATA,DATA,DATA,DATA,DATA
 0,P1-L6,600,110,2.49,0,0.1
 1,P1-L5,60,110,0.51,0.2,0.1
diff --git a/summit/benchmarks/data/reizman_suzuki_case_3.csv b/summit/benchmarks/data/reizman_suzuki_case_3.csv
index ec0ed208..2cc7daf0 100644
--- a/summit/benchmarks/data/reizman_suzuki_case_3.csv
+++ b/summit/benchmarks/data/reizman_suzuki_case_3.csv
@@ -1,4 +1,4 @@
-NAME,catalyst,t_res,temperature,catalyst_loading,ton,yield
+NAME,catalyst,t_res,temperature,catalyst_loading,ton,yld
 TYPE,DATA,DATA,DATA,DATA,DATA,DATA
 0,P1-L4,60,30,2.513,0.1,0.2
 1,P1-L1,60,30,0.51,0.3,0.2
diff --git a/summit/benchmarks/data/reizman_suzuki_case_4.csv b/summit/benchmarks/data/reizman_suzuki_case_4.csv
index d29f9fa5..fb2ae4db 100644
--- a/summit/benchmarks/data/reizman_suzuki_case_4.csv
+++ b/summit/benchmarks/data/reizman_suzuki_case_4.csv
@@ -1,4 +1,4 @@
-NAME,catalyst,t_res,temperature,catalyst_loading,ton,yield
+NAME,catalyst,t_res,temperature,catalyst_loading,ton,yld
 TYPE,DATA,DATA,DATA,DATA,DATA,DATA
 0,P1-L6,600,110,2.504,11.7,29.4
 1,P1-L5,600,110,2.499,21.4,53.6
diff --git a/summit/benchmarks/experimental_emulator.py b/summit/benchmarks/experimental_emulator.py
index f7edd0c1..d31f9896 100644
--- a/summit/benchmarks/experimental_emulator.py
+++ b/summit/benchmarks/experimental_emulator.py
@@ -1608,7 +1608,7 @@ def setup_domain():
 
         des_6 = "Yield"
         domain += ContinuousVariable(
-            name="yield",
+            name="yld",
             description=des_6,
             bounds=[0, 100],
             is_objective=True,
@@ -1793,7 +1793,7 @@ def setup_domain(include_cost=False):
 
         des_6 = "Yield"
         domain += ContinuousVariable(
-            name="yield",
+            name="yld",
             description=des_6,
             bounds=[0.0, 1.0],
             is_objective=True,
diff --git a/summit/benchmarks/models/baumgartner_aniline_cn_crosscoupling/baumgartner_aniline_cn_crosscoupling.json b/summit/benchmarks/models/baumgartner_aniline_cn_crosscoupling/baumgartner_aniline_cn_crosscoupling.json
index bff08445..5442f966 100644
--- a/summit/benchmarks/models/baumgartner_aniline_cn_crosscoupling/baumgartner_aniline_cn_crosscoupling.json
+++ b/summit/benchmarks/models/baumgartner_aniline_cn_crosscoupling/baumgartner_aniline_cn_crosscoupling.json
@@ -128,7 +128,7 @@
     {
       "type"        : "ContinuousVariable",
       "is_objective": true,
-      "name"        : "yield",
+      "name"        : "yld",
       "description" : "Yield",
       "units"       : null,
       "bounds"      : [
@@ -162,7 +162,7 @@
         "DATA"
       ],
       [
-        "yield",
+        "yld",
         "DATA"
       ],
       [
@@ -187,7 +187,7 @@
     "n_examples"           : 96,
     "descriptors_features" : [],
     "output_variable_names": [
-      "yield"
+      "yld"
     ],
     "predictors"           : [
       {
diff --git a/summit/benchmarks/models/baumgartner_aniline_cn_crosscoupling_descriptors/baumgartner_aniline_cn_crosscoupling_descriptors.json b/summit/benchmarks/models/baumgartner_aniline_cn_crosscoupling_descriptors/baumgartner_aniline_cn_crosscoupling_descriptors.json
index a9e050d3..1562b326 100644
--- a/summit/benchmarks/models/baumgartner_aniline_cn_crosscoupling_descriptors/baumgartner_aniline_cn_crosscoupling_descriptors.json
+++ b/summit/benchmarks/models/baumgartner_aniline_cn_crosscoupling_descriptors/baumgartner_aniline_cn_crosscoupling_descriptors.json
@@ -1,1 +1,369 @@
-{"domain": [{"type": "CategoricalVariable", "is_objective": false, "name": "catalyst", "description": "Catalyst type", "units": null, "levels": ["tBuXPhos", "tBuBrettPhos", "AlPhos"], "ds": {"index": ["tBuXPhos", "tBuBrettPhos", "AlPhos"], "columns": [["area_cat", "DATA"], ["M2_cat", "DATA"]], "data": [[460.7543, 67.2057], [518.8408, 89.8738], [819.933, 129.0808]]}}, {"type": "CategoricalVariable", "is_objective": false, "name": "base", "description": "Base", "units": null, "levels": ["DBU", "BTMG", "TMG", "TEA"], "ds": {"index": ["TEA", "TMG", "BTMG", "DBU"], "columns": [["area", "DATA"], ["M2", "DATA"]], "data": [[162.2992, 25.8165], [165.5447, 81.4847], [227.3523, 30.554], [192.4693, 59.8367]]}}, {"type": "ContinuousVariable", "is_objective": false, "name": "base_equivalents", "description": "Base equivalents", "units": null, "bounds": [1.0, 2.5]}, {"type": "ContinuousVariable", "is_objective": false, "name": "temperature", "description": "Temperature in degrees Celsius (\u00baC)", "units": null, "bounds": [30.0, 100.0]}, {"type": "ContinuousVariable", "is_objective": false, "name": "t_res", "description": "residence time in seconds (s)", "units": null, "bounds": [60.0, 1800.0]}, {"type": "ContinuousVariable", "is_objective": true, "name": "yield", "description": "Yield", "units": null, "bounds": [0.0, 1.0]}], "name": "ExperimentalEmulator", "data": {"index": [], "columns": [["catalyst", "DATA"], ["base", "DATA"], ["base_equivalents", "DATA"], ["temperature", "DATA"], ["t_res", "DATA"], ["yield", "DATA"], ["computation_t", "METADATA"], ["experiment_t", "METADATA"], ["strategy", "METADATA"]], "data": []}, "experiment_params": {"model_name": "baumgartner_aniline_cn_crosscoupling_descriptors", "regressor_name": "ANNRegressor", "n_features": 7, "n_examples": 96, "descriptors_features": ["catalyst", "base"], "output_variable_names": ["yield"], "predictors": [{"input_preprocessor": {"num": {"mean_": [1.6559957171333333, 69.63333333333334, 675.2387380961666], "var_": [0.24093575016750415, 906.7308888888889, 253625.04696145264], "scale_": [0.4908520654611776, 30.11197251740392, 503.6120004144586], "n_samples_seen_": 60}}, "output_preprocessor": {"mean_": [0.5805532822851092], "var_": [0.1785550681951766], "scale_": [0.42255776906261777], "n_samples_seen_": 60}}, {"input_preprocessor": {"num": {"mean_": [1.683371605967213, 74.62295081967213, 715.8182047760656], "var_": [0.24120375329778332, 866.5532437516797, 223573.2988868711], "scale_": [0.49112498745002103, 29.43727643230059, 472.83538243967223], "n_samples_seen_": 61}}, "output_preprocessor": {"mean_": [0.6254036210660563], "var_": [0.16832977557768586], "scale_": [0.4102801184284779], "n_samples_seen_": 61}}, {"input_preprocessor": {"num": {"mean_": [1.6615540930327868, 69.30163934426228, 681.7872910763934], "var_": [0.24927125858022928, 924.5657350174685, 269346.5438305566], "scale_": [0.49927072674074263, 30.40667254103067, 518.9860728676219], "n_samples_seen_": 61}}, "output_preprocessor": {"mean_": [0.5703947171110844], "var_": [0.18538124205880477], "scale_": [0.43055922015305254], "n_samples_seen_": 61}}, {"input_preprocessor": {"num": {"mean_": [1.628605248, 72.78196721311477, 735.1206038822951], "var_": [0.24907596673949953, 907.5027895726955, 244282.01121683227], "scale_": [0.4990751113204299, 30.124786963108892, 494.24893648528194], "n_samples_seen_": 61}}, "output_preprocessor": {"mean_": [0.6131021287750269], "var_": [0.17856050759065348], "scale_": [0.4225642052879698], "n_samples_seen_": 61}}, {"input_preprocessor": {"num": {"mean_": [1.6073154240819671, 73.0311475409836, 743.0736161352461], "var_": [0.2525966705755136, 848.4237839290512, 251362.03663802444], "scale_": [0.5025899626688873, 29.12771504819853, 501.3601865306263], "n_samples_seen_": 61}}, "output_preprocessor": {"mean_": [0.564398883872467], "var_": [0.18049929808199283], "scale_": [0.4248520896523787], "n_samples_seen_": 61}}]}, "extras": []}
\ No newline at end of file
+{
+  "domain"           : [
+    {
+      "type"        : "CategoricalVariable",
+      "is_objective": false,
+      "name"        : "catalyst",
+      "description" : "Catalyst type",
+      "units"       : null,
+      "levels"      : [
+        "tBuXPhos",
+        "tBuBrettPhos",
+        "AlPhos"
+      ],
+      "ds"          : {
+        "index"  : [
+          "tBuXPhos",
+          "tBuBrettPhos",
+          "AlPhos"
+        ],
+        "columns": [
+          [
+            "area_cat",
+            "DATA"
+          ],
+          [
+            "M2_cat",
+            "DATA"
+          ]
+        ],
+        "data"   : [
+          [
+            460.7543,
+            67.2057
+          ],
+          [
+            518.8408,
+            89.8738
+          ],
+          [
+            819.933,
+            129.0808
+          ]
+        ]
+      }
+    },
+    {
+      "type"        : "CategoricalVariable",
+      "is_objective": false,
+      "name"        : "base",
+      "description" : "Base",
+      "units"       : null,
+      "levels"      : [
+        "DBU",
+        "BTMG",
+        "TMG",
+        "TEA"
+      ],
+      "ds"          : {
+        "index"  : [
+          "TEA",
+          "TMG",
+          "BTMG",
+          "DBU"
+        ],
+        "columns": [
+          [
+            "area",
+            "DATA"
+          ],
+          [
+            "M2",
+            "DATA"
+          ]
+        ],
+        "data"   : [
+          [
+            162.2992,
+            25.8165
+          ],
+          [
+            165.5447,
+            81.4847
+          ],
+          [
+            227.3523,
+            30.554
+          ],
+          [
+            192.4693,
+            59.8367
+          ]
+        ]
+      }
+    },
+    {
+      "type"        : "ContinuousVariable",
+      "is_objective": false,
+      "name"        : "base_equivalents",
+      "description" : "Base equivalents",
+      "units"       : null,
+      "bounds"      : [
+        1.0,
+        2.5
+      ]
+    },
+    {
+      "type"        : "ContinuousVariable",
+      "is_objective": false,
+      "name"        : "temperature",
+      "description" : "Temperature in degrees Celsius (\u00baC)",
+      "units"       : null,
+      "bounds"      : [
+        30.0,
+        100.0
+      ]
+    },
+    {
+      "type"        : "ContinuousVariable",
+      "is_objective": false,
+      "name"        : "t_res",
+      "description" : "residence time in seconds (s)",
+      "units"       : null,
+      "bounds"      : [
+        60.0,
+        1800.0
+      ]
+    },
+    {
+      "type"        : "ContinuousVariable",
+      "is_objective": true,
+      "name"        : "yld",
+      "description" : "Yield",
+      "units"       : null,
+      "bounds"      : [
+        0.0,
+        1.0
+      ]
+    }
+  ],
+  "name"             : "ExperimentalEmulator",
+  "data"             : {
+    "index"  : [],
+    "columns": [
+      [
+        "catalyst",
+        "DATA"
+      ],
+      [
+        "base",
+        "DATA"
+      ],
+      [
+        "base_equivalents",
+        "DATA"
+      ],
+      [
+        "temperature",
+        "DATA"
+      ],
+      [
+        "t_res",
+        "DATA"
+      ],
+      [
+        "yld",
+        "DATA"
+      ],
+      [
+        "computation_t",
+        "METADATA"
+      ],
+      [
+        "experiment_t",
+        "METADATA"
+      ],
+      [
+        "strategy",
+        "METADATA"
+      ]
+    ],
+    "data"   : []
+  },
+  "experiment_params": {
+    "model_name"           : "baumgartner_aniline_cn_crosscoupling_descriptors",
+    "regressor_name"       : "ANNRegressor",
+    "n_features"           : 7,
+    "n_examples"           : 96,
+    "descriptors_features" : [
+      "catalyst",
+      "base"
+    ],
+    "output_variable_names": [
+      "yld"
+    ],
+    "predictors"           : [
+      {
+        "input_preprocessor" : {
+          "num": {
+            "mean_"          : [
+              1.6559957171333333,
+              69.63333333333334,
+              675.2387380961666
+            ],
+            "var_"           : [
+              0.24093575016750415,
+              906.7308888888889,
+              253625.04696145264
+            ],
+            "scale_"         : [
+              0.4908520654611776,
+              30.11197251740392,
+              503.6120004144586
+            ],
+            "n_samples_seen_": 60
+          }
+        },
+        "output_preprocessor": {
+          "mean_"          : [
+            0.5805532822851092
+          ],
+          "var_"           : [
+            0.1785550681951766
+          ],
+          "scale_"         : [
+            0.42255776906261777
+          ],
+          "n_samples_seen_": 60
+        }
+      },
+      {
+        "input_preprocessor" : {
+          "num": {
+            "mean_"          : [
+              1.683371605967213,
+              74.62295081967213,
+              715.8182047760656
+            ],
+            "var_"           : [
+              0.24120375329778332,
+              866.5532437516797,
+              223573.2988868711
+            ],
+            "scale_"         : [
+              0.49112498745002103,
+              29.43727643230059,
+              472.83538243967223
+            ],
+            "n_samples_seen_": 61
+          }
+        },
+        "output_preprocessor": {
+          "mean_"          : [
+            0.6254036210660563
+          ],
+          "var_"           : [
+            0.16832977557768586
+          ],
+          "scale_"         : [
+            0.4102801184284779
+          ],
+          "n_samples_seen_": 61
+        }
+      },
+      {
+        "input_preprocessor" : {
+          "num": {
+            "mean_"          : [
+              1.6615540930327868,
+              69.30163934426228,
+              681.7872910763934
+            ],
+            "var_"           : [
+              0.24927125858022928,
+              924.5657350174685,
+              269346.5438305566
+            ],
+            "scale_"         : [
+              0.49927072674074263,
+              30.40667254103067,
+              518.9860728676219
+            ],
+            "n_samples_seen_": 61
+          }
+        },
+        "output_preprocessor": {
+          "mean_"          : [
+            0.5703947171110844
+          ],
+          "var_"           : [
+            0.18538124205880477
+          ],
+          "scale_"         : [
+            0.43055922015305254
+          ],
+          "n_samples_seen_": 61
+        }
+      },
+      {
+        "input_preprocessor" : {
+          "num": {
+            "mean_"          : [
+              1.628605248,
+              72.78196721311477,
+              735.1206038822951
+            ],
+            "var_"           : [
+              0.24907596673949953,
+              907.5027895726955,
+              244282.01121683227
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+            "scale_"         : [
+              0.4990751113204299,
+              30.124786963108892,
+              494.24893648528194
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+            "n_samples_seen_": 61
+          }
+        },
+        "output_preprocessor": {
+          "mean_"          : [
+            0.6131021287750269
+          ],
+          "var_"           : [
+            0.17856050759065348
+          ],
+          "scale_"         : [
+            0.4225642052879698
+          ],
+          "n_samples_seen_": 61
+        }
+      },
+      {
+        "input_preprocessor" : {
+          "num": {
+            "mean_"          : [
+              1.6073154240819671,
+              73.0311475409836,
+              743.0736161352461
+            ],
+            "var_"           : [
+              0.2525966705755136,
+              848.4237839290512,
+              251362.03663802444
+            ],
+            "scale_"         : [
+              0.5025899626688873,
+              29.12771504819853,
+              501.3601865306263
+            ],
+            "n_samples_seen_": 61
+          }
+        },
+        "output_preprocessor": {
+          "mean_"          : [
+            0.564398883872467
+          ],
+          "var_"           : [
+            0.18049929808199283
+          ],
+          "scale_"         : [
+            0.4248520896523787
+          ],
+          "n_samples_seen_": 61
+        }
+      }
+    ]
+  },
+  "extras"           : []
+}
\ No newline at end of file
diff --git a/summit/benchmarks/models/reizman_suzuki_case_1/reizman_suzuki_case_1.json b/summit/benchmarks/models/reizman_suzuki_case_1/reizman_suzuki_case_1.json
index 1ba0ff44..90b4be1f 100644
--- a/summit/benchmarks/models/reizman_suzuki_case_1/reizman_suzuki_case_1.json
+++ b/summit/benchmarks/models/reizman_suzuki_case_1/reizman_suzuki_case_1.json
@@ -1,1 +1,319 @@
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diff --git a/summit/benchmarks/models/reizman_suzuki_case_2/reizman_suzuki_case_2.json b/summit/benchmarks/models/reizman_suzuki_case_2/reizman_suzuki_case_2.json
index 3b7ded58..9ecd6448 100644
--- a/summit/benchmarks/models/reizman_suzuki_case_2/reizman_suzuki_case_2.json
+++ b/summit/benchmarks/models/reizman_suzuki_case_2/reizman_suzuki_case_2.json
@@ -1,1 +1,319 @@
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diff --git a/summit/benchmarks/models/reizman_suzuki_case_3/reizman_suzuki_case_3.json b/summit/benchmarks/models/reizman_suzuki_case_3/reizman_suzuki_case_3.json
index 06e29487..c8d98110 100644
--- a/summit/benchmarks/models/reizman_suzuki_case_3/reizman_suzuki_case_3.json
+++ b/summit/benchmarks/models/reizman_suzuki_case_3/reizman_suzuki_case_3.json
@@ -1,1 +1,319 @@
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diff --git a/summit/benchmarks/models/reizman_suzuki_case_4/reizman_suzuki_case_4.json b/summit/benchmarks/models/reizman_suzuki_case_4/reizman_suzuki_case_4.json
index 072b8f28..6b27dab7 100644
--- a/summit/benchmarks/models/reizman_suzuki_case_4/reizman_suzuki_case_4.json
+++ b/summit/benchmarks/models/reizman_suzuki_case_4/reizman_suzuki_case_4.json
@@ -1,1 +1,319 @@
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\ No newline at end of file
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+      "type"        : "ContinuousVariable",
+      "is_objective": false,
+      "name"        : "temperature",
+      "description" : "Reactor temperature in degrees Celsius (\u00baC)",
+      "units"       : null,
+      "bounds"      : [
+        30.0,
+        110.0
+      ]
+    },
+    {
+      "type"        : "ContinuousVariable",
+      "is_objective": false,
+      "name"        : "catalyst_loading",
+      "description" : "Catalyst loading in mol%",
+      "units"       : null,
+      "bounds"      : [
+        0.5,
+        2.5
+      ]
+    },
+    {
+      "type"        : "ContinuousVariable",
+      "is_objective": true,
+      "name"        : "ton",
+      "description" : "Turnover number - moles product generated divided by moles catalyst used",
+      "units"       : null,
+      "bounds"      : [
+        0.0,
+        200.0
+      ]
+    },
+    {
+      "type"        : "ContinuousVariable",
+      "is_objective": true,
+      "name"        : "yld",
+      "description" : "Yield",
+      "units"       : null,
+      "bounds"      : [
+        0.0,
+        100.0
+      ]
+    }
+  ],
+  "name"             : "ExperimentalEmulator",
+  "data"             : {
+    "index"  : [],
+    "columns": [
+      [
+        "catalyst",
+        "DATA"
+      ],
+      [
+        "t_res",
+        "DATA"
+      ],
+      [
+        "temperature",
+        "DATA"
+      ],
+      [
+        "catalyst_loading",
+        "DATA"
+      ],
+      [
+        "ton",
+        "DATA"
+      ],
+      [
+        "yld",
+        "DATA"
+      ],
+      [
+        "computation_t",
+        "METADATA"
+      ],
+      [
+        "experiment_t",
+        "METADATA"
+      ],
+      [
+        "strategy",
+        "METADATA"
+      ]
+    ],
+    "data"   : []
+  },
+  "experiment_params": {
+    "model_name"           : "reizman_suzuki_case_4",
+    "regressor_name"       : "ANNRegressor",
+    "n_features"           : 11,
+    "n_examples"           : 97,
+    "descriptors_features" : [],
+    "output_variable_names": [
+      "ton",
+      "yld"
+    ],
+    "predictors"           : [
+      {
+        "input_preprocessor" : {
+          "num": {
+            "mean_"          : [
+              361.3918032786886,
+              83.57868852459015,
+              1.6783114754098363
+            ],
+            "var_"           : [
+              51894.334195108844,
+              538.3793818865896,
+              0.5491226079011019
+            ],
+            "scale_"         : [
+              227.80327959691195,
+              23.203003725522038,
+              0.7410280749749647
+            ],
+            "n_samples_seen_": 61
+          }
+        },
+        "output_preprocessor": {
+          "mean_"          : [
+            46.508196917469384,
+            68.03934463113546
+          ],
+          "var_"           : [
+            965.1315826947083,
+            914.6086297925623
+          ],
+          "scale_"         : [
+            31.066566960234088,
+            30.24249708262468
+          ],
+          "n_samples_seen_": 61
+        }
+      },
+      {
+        "input_preprocessor" : {
+          "num": {
+            "mean_"          : [
+              328.1016393442623,
+              85.09344262295082,
+              1.6505737704918035
+            ],
+            "var_"           : [
+              48394.58081698467,
+              625.0373340499864,
+              0.5491268675087343
+            ],
+            "scale_"         : [
+              219.98768333019163,
+              25.00074666984941,
+              0.7410309490896682
+            ],
+            "n_samples_seen_": 61
+          }
+        },
+        "output_preprocessor": {
+          "mean_"          : [
+            46.657377005111975,
+            65.44754103485678
+          ],
+          "var_"           : [
+            1047.2663762907757,
+            1006.2438135523288
+          ],
+          "scale_"         : [
+            32.361495272789476,
+            31.721346338898176
+          ],
+          "n_samples_seen_": 61
+        }
+      },
+      {
+        "input_preprocessor" : {
+          "num": {
+            "mean_"          : [
+              347.89193548387095,
+              83.9274193548387,
+              1.7433870967741936
+            ],
+            "var_"           : [
+              49269.6665478668,
+              637.4981191467223,
+              0.5718076566077004
+            ],
+            "scale_"         : [
+              221.96771510259504,
+              25.24872509943269,
+              0.7561796457242819
+            ],
+            "n_samples_seen_": 62
+          }
+        },
+        "output_preprocessor": {
+          "mean_"          : [
+            41.432258085618095,
+            63.55322592477164
+          ],
+          "var_"           : [
+            939.911529020917,
+            1141.7537632219253
+          ],
+          "scale_"         : [
+            30.65797659697908,
+            33.78984704348224
+          ],
+          "n_samples_seen_": 62
+        }
+      },
+      {
+        "input_preprocessor" : {
+          "num": {
+            "mean_"          : [
+              354.1322580645161,
+              83.4241935483871,
+              1.6983064516129034
+            ],
+            "var_"           : [
+              49819.123798126966,
+              571.1295759625391,
+              0.5281285996357961
+            ],
+            "scale_"         : [
+              223.2019798257331,
+              23.8983174295292,
+              0.7267245693079298
+            ],
+            "n_samples_seen_": 62
+          }
+        },
+        "output_preprocessor": {
+          "mean_"          : [
+            44.380645274635285,
+            65.95000013060147
+          ],
+          "var_"           : [
+            961.0954115775323,
+            1026.6679600015764
+          ],
+          "scale_"         : [
+            31.0015388582169,
+            32.041659757284364
+          ],
+          "n_samples_seen_": 62
+        }
+      },
+      {
+        "input_preprocessor" : {
+          "num": {
+            "mean_"          : [
+              348.53225806451616,
+              86.98064516129034,
+              1.7053709677419355
+            ],
+            "var_"           : [
+              55211.68863683663,
+              514.798657648283,
+              0.5502617172216441
+            ],
+            "scale_"         : [
+              234.97167624383292,
+              22.68917490012105,
+              0.7417962774385188
+            ],
+            "n_samples_seen_": 62
+          }
+        },
+        "output_preprocessor": {
+          "mean_"          : [
+            46.59516116447987,
+            67.53709707745621
+          ],
+          "var_"           : [
+            961.811094079407,
+            888.484573507381
+          ],
+          "scale_"         : [
+            31.013079403364753,
+            29.807458353696997
+          ],
+          "n_samples_seen_": 62
+        }
+      }
+    ]
+  },
+  "extras"           : []
+}
\ No newline at end of file
diff --git a/summit/domain.py b/summit/domain.py
index 539909e8..45f86910 100644
--- a/summit/domain.py
+++ b/summit/domain.py
@@ -98,17 +98,57 @@ def from_dict():
 
     @staticmethod
     def _check_name(name: str):
+        # Check string
         if type(name) != str:
             raise ValueError(
                 f"""{name} is not a string. Variable names must be strings."""
             )
 
+        # No spaces
         test_name = name
         if name != test_name.replace(" ", ""):
             raise ValueError(
                 f"""Error with variable name "{name}". Variable names cannot have spaces. Try replacing spaces with _ or -"""
             )
 
+        # No python keywords
+        kwds = [
+            "as",
+            "assert",
+            "break",
+            "class",
+            "continue",
+            "def",
+            "del",
+            "elif",
+            "else",
+            "except",
+            "False",
+            "finally",
+            "for",
+            "from",
+            "global",
+            "if",
+            "import",
+            "in",
+            "is",
+            "lambda",
+            "None",
+            "nonlocal",
+            "pass",
+            "raise",
+            "return",
+            "True",
+            "try",
+            "while",
+            "with",
+            "yield",
+        ]
+        if name in kwds:
+            raise ValueError(
+                f"Variable names cannot be python keywords ({name}). For a full list of python keywords, see https://www.w3schools.com/python/python_ref_keywords.asp"
+            )
+
     def __repr__(self):
         return f"Variable(name={self.name}, description={self.description})"
 
diff --git a/summit/strategies/entmoot.py b/summit/strategies/entmoot.py
index 68975cb3..1c39b154 100644
--- a/summit/strategies/entmoot.py
+++ b/summit/strategies/entmoot.py
@@ -50,7 +50,7 @@ class ENTMOOT(Strategy):
     >>> domain += ContinuousVariable(name='temperature', description='reaction temperature in celsius', bounds=[50, 100])
     >>> domain += CategoricalVariable(name='flowrate_a', description='flow of reactant a in mL/min', levels=[1,2,3,4,5])
     >>> domain += ContinuousVariable(name='flowrate_b', description='flow of reactant b in mL/min', bounds=[0.1, 0.5])
-    >>> domain += ContinuousVariable(name='yield', description='yield of reaction', bounds=[0,100], is_objective=True)
+    >>> domain += ContinuousVariable(name="yld", description='yield of reaction', bounds=[0,100], is_objective=True)
     >>> # strategy = ENTMOOT(domain)
     >>> # next_experiments = strategy.suggest_experiments(5)
 
diff --git a/summit/strategies/multitask.py b/summit/strategies/multitask.py
index 47be6d71..66a34c28 100644
--- a/summit/strategies/multitask.py
+++ b/summit/strategies/multitask.py
@@ -364,7 +364,7 @@ class STBO(Strategy):
     >>> domain = Domain()
     >>> domain += ContinuousVariable(name='temperature', description='reaction temperature in celsius', bounds=[0, 1])
     >>> domain += ContinuousVariable(name='flowrate_a', description='flow of reactant a in mL/min', bounds=[0, 1])
-    >>> domain += ContinuousVariable(name='yield', description='relative conversion to xyz', bounds=[0,100], is_objective=True, maximize=True)
+    >>> domain += ContinuousVariable(name="yld", description='relative conversion to xyz', bounds=[0,100], is_objective=True, maximize=True)
     >>> strategy = NelderMead(domain)
     >>> next_experiments  = strategy.suggest_experiments()
     >>> print(next_experiments)
diff --git a/summit/strategies/neldermead.py b/summit/strategies/neldermead.py
index bd90f6b4..1f5f9e4f 100644
--- a/summit/strategies/neldermead.py
+++ b/summit/strategies/neldermead.py
@@ -68,7 +68,7 @@ class NelderMead(Strategy):
     >>> domain = Domain()
     >>> domain += ContinuousVariable(name='temperature', description='reaction temperature in celsius', bounds=[0, 1])
     >>> domain += ContinuousVariable(name='flowrate_a', description='flow of reactant a in mL/min', bounds=[0, 1])
-    >>> domain += ContinuousVariable(name='yield', description='relative conversion to xyz', bounds=[0,100], is_objective=True, maximize=True)
+    >>> domain += ContinuousVariable(name="yld", description='relative conversion to xyz', bounds=[0,100], is_objective=True, maximize=True)
     >>> strategy = NelderMead(domain)
     >>> next_experiments  = strategy.suggest_experiments()
     >>> print(next_experiments)
diff --git a/summit/strategies/snobfit.py b/summit/strategies/snobfit.py
index 37e75860..2e30413d 100644
--- a/summit/strategies/snobfit.py
+++ b/summit/strategies/snobfit.py
@@ -44,8 +44,8 @@ class SNOBFIT(Strategy):
     >>> domain += ContinuousVariable(name='temperature', description='reaction temperature in celsius', bounds=[0, 100])
     >>> domain += ContinuousVariable(name='flowrate_a', description='flow of reactant a in mL/min', bounds=[0, 1])
     >>> domain += ContinuousVariable(name='flowrate_b', description='flow of reactant b in mL/min', bounds=[0.1, 0.9])
-    >>> domain += ContinuousVariable(name='yield', description='relative conversion to xyz', bounds=[0,100], is_objective=True, maximize=True)
-    >>> d = {'temperature': [50,40,70,30], 'flowrate_a': [0.6,0.3,0.2,0.1], 'flowrate_b': [0.1,0.3,0.2,0.1], 'yield': [0.7,0.6,0.3,0.1]}
+    >>> domain += ContinuousVariable(name="yld", description='relative conversion to xyz', bounds=[0,100], is_objective=True, maximize=True)
+    >>> d = {'temperature': [50,40,70,30], 'flowrate_a': [0.6,0.3,0.2,0.1], 'flowrate_b': [0.1,0.3,0.2,0.1], 'yld': [0.7,0.6,0.3,0.1]}
     >>> df = pd.DataFrame(data=d)
     >>> initial = DataSet.from_df(df)
     >>> strategy = SNOBFIT(domain)
diff --git a/summit/strategies/sobo.py b/summit/strategies/sobo.py
index 92f39405..f6851726 100644
--- a/summit/strategies/sobo.py
+++ b/summit/strategies/sobo.py
@@ -57,7 +57,7 @@ class SOBO(Strategy):
     >>> domain += ContinuousVariable(name='temperature', description='reaction temperature in celsius', bounds=[50, 100])
     >>> domain += CategoricalVariable(name='flowrate_a', description='flow of reactant a in mL/min', levels=[1,2,3,4,5])
     >>> domain += ContinuousVariable(name='flowrate_b', description='flow of reactant b in mL/min', bounds=[0.1, 0.5])
-    >>> domain += ContinuousVariable(name='yield', description='yield of reaction', bounds=[0,100], is_objective=True)
+    >>> domain += ContinuousVariable(name="yld", description='yield of reaction', bounds=[0,100], is_objective=True)
     >>> strategy = SOBO(domain)
     >>> next_experiments = strategy.suggest_experiments(5)
 


Test patch:
diff --git a/tests/test_benchmarks.py b/tests/test_benchmarks.py
index a3954ea1..5104d02d 100644
--- a/tests/test_benchmarks.py
+++ b/tests/test_benchmarks.py
@@ -64,7 +64,7 @@ def test_train_experimental_emulator():
     assert r2 > 0.8
 
     # Test plotting
-    fig, ax = exp.parity_plot(output_variables="yield", include_test=True)
+    fig, ax = exp.parity_plot(output_variables="yld", include_test=True)
 
     # Test saving/loading
     exp.save("test_ee")
@@ -80,7 +80,7 @@ def test_train_experimental_emulator():
         exp.y_test,
     )
     res = exp_2.test(X_test=exp.X_test, y_test=exp.y_test)
-    exp.parity_plot(output_variables="yield", include_test=True)
+    exp.parity_plot(output_variables="yld", include_test=True)
     r2 = res["test_r2"].mean()
     assert r2 > 0.8
     shutil.rmtree("test_ee")
@@ -107,7 +107,7 @@ def test_reizman_emulator(show_plots=False):
             assert str(results[name].iloc[0]) == value[0]
         else:
             assert float(results[name].iloc[0]) == value[0]
-    assert np.isclose(float(results["yield"]), 0.6, atol=15)
+    assert np.isclose(float(results["yld"]), 0.6, atol=15)
     assert np.isclose(float(results["ton"]), 1.1, atol=15)
 
     # Test serialization
@@ -142,7 +142,7 @@ def test_baumgartner_CC_emulator(use_descriptors, include_cost, show_plots=False
     assert str(results["base"].iloc[0]) == values["base"][0]
     assert float(results["t_res"]) == values["t_res"][0]
     assert float(results["temperature"]) == values["temperature"][0]
-    assert np.isclose(float(results["yield"]), 0.042832638, atol=0.15)
+    assert np.isclose(float(results["yld"]), 0.042832638, atol=0.15)
 
     # Test serialization
     d = b.to_dict()
diff --git a/tests/test_domain.py b/tests/test_domain.py
index 61eb74b8..1f145e26 100644
--- a/tests/test_domain.py
+++ b/tests/test_domain.py
@@ -141,7 +141,7 @@ def test_domain():
     )
     var5 = CategoricalVariable("solvent", "solvent descriptors", descriptors=solvent_ds)
     var6 = ContinuousVariable(
-        name="yield",
+        name="yld",
         description="yield of reaction",
         bounds=[0, 100],
         is_objective=True,
@@ -210,6 +210,16 @@ def test_domain():
     with pytest.raises(ValueError):
         domain = Domain(variables=[var1, var1])
 
+    # Test naming a variable a python keyword
+    with pytest.raises(ValueError):
+        ContinuousVariable(
+            name="yield",
+            description="yield of reaction",
+            bounds=[0, 100],
+            is_objective=True,
+            maximize=True,
+        )
+
     # Test serialization
     domain = Domain(variables=[var1, var2, var3, var4, var5, var6], constraints=[c])
     ser = domain.to_dict()