diff --git a/.github/workflows/ci-tests.yaml b/.github/workflows/ci-tests.yaml
index c966d89..d107aaa 100644
--- a/.github/workflows/ci-tests.yaml
+++ b/.github/workflows/ci-tests.yaml
@@ -10,6 +10,7 @@ jobs:
   # tests the libraries that our projects depend on
   library-ci-tests:
     runs-on: ubuntu-latest
+    if: github.event.pull_request.draft == false
     permissions:
       packages: read
     container:
diff --git a/libs/trainer/deepclean/trainer/trainer.py b/libs/trainer/deepclean/trainer/trainer.py
index 0120658..07a9104 100644
--- a/libs/trainer/deepclean/trainer/trainer.py
+++ b/libs/trainer/deepclean/trainer/trainer.py
@@ -285,7 +285,7 @@ def train(
         batch_size=batch_size,
         chunk_length=chunk_length,
         num_chunks=num_chunks,
-        shuffle=False,
+        shuffle=True,
         device=device,
     )
 
@@ -423,6 +423,7 @@ def train(
 
     # generate some analyses of our model
     logging.info("Performing post-hoc analysis on trained model")
+    train_data.batch_size = 32
     gradients, coherences = analyze_model(train_data, model, sample_rate)
     history.update(
         {
@@ -452,4 +453,4 @@ def train(
     nn = PrePostDeepClean(model)
     nn.fit(X, y)
     torch.save(nn.state_dict(), weights_path)
-    # return history
+    return history
diff --git a/projects/sandbox/pyproject.toml b/projects/sandbox/pyproject.toml
index 82a5fb5..1cea07d 100644
--- a/projects/sandbox/pyproject.toml
+++ b/projects/sandbox/pyproject.toml
@@ -95,6 +95,45 @@ verbose = "${base.verbose}"
 # architecture subcommands
 commands.autoencoder = "${base.autoencoder}"
 
+[tool.typeo.scripts.search]
+output_directory = "${PROJECT_DIR}"
+data_path = "${DATA_DIR}"
+
+# data parameters
+channels = "${base.channels}"
+t0 = "${base.train_t0}"
+duration = "${base.train_duration}"
+valid_frac = 0.25
+
+# data loading parameters
+sample_rate = "${base.sample_rate}"
+kernel_length = 8
+kernel_stride = 0.25
+chunk_length = 0
+
+# preprocessing parameters
+freq_low = "${base.freq_low}"
+freq_high = "${base.freq_high}"
+filter_order = 8
+
+# optimization parameters
+batch_size = 64
+max_epochs = 500
+num_trials = 10
+patience = 8
+factor = 0.2
+early_stop = 50
+
+# criterion parameters
+fftlength = 2
+overlap = 1
+alpha = 1.0
+
+# miscellaneous parameters
+profile = false
+verbose = "${base.verbose}"
+
+
 [tool.typeo.scripts.export-model]
 repository_directory = "${MODEL_REPOSITORY}"
 output_directory = "${PROJECT_DIR}"
diff --git a/projects/sandbox/train/poetry.lock b/projects/sandbox/train/poetry.lock
index 93e8f80..53d0e83 100644
--- a/projects/sandbox/train/poetry.lock
+++ b/projects/sandbox/train/poetry.lock
@@ -1,3 +1,14 @@
+[[package]]
+name = "aiosignal"
+version = "1.2.0"
+description = "aiosignal: a list of registered asynchronous callbacks"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+frozenlist = ">=1.1.0"
+
 [[package]]
 name = "astropy"
 version = "4.3.1"
@@ -27,7 +38,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 name = "attrs"
 version = "22.1.0"
 description = "Classes Without Boilerplate"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.5"
 
@@ -37,11 +48,41 @@ docs = ["furo", "sphinx", "zope.interface", "sphinx-notfound-page"]
 tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "zope.interface", "cloudpickle"]
 tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "cloudpickle"]
 
+[[package]]
+name = "certifi"
+version = "2022.6.15"
+description = "Python package for providing Mozilla's CA Bundle."
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
+name = "charset-normalizer"
+version = "2.1.0"
+description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
+category = "main"
+optional = false
+python-versions = ">=3.6.0"
+
+[package.extras]
+unicode_backport = ["unicodedata2"]
+
+[[package]]
+name = "click"
+version = "8.0.4"
+description = "Composable command line interface toolkit"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+colorama = {version = "*", markers = "platform_system == \"Windows\""}
+
 [[package]]
 name = "colorama"
 version = "0.4.5"
 description = "Cross-platform colored terminal text."
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
@@ -163,6 +204,48 @@ torch = "^1.0"
 type = "directory"
 url = "../../../libs/trainer"
 
+[[package]]
+name = "distlib"
+version = "0.3.5"
+description = "Distribution utilities"
+category = "main"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "filelock"
+version = "3.8.0"
+description = "A platform independent file lock."
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+docs = ["furo (>=2022.6.21)", "sphinx (>=5.1.1)", "sphinx-autodoc-typehints (>=1.19.1)"]
+testing = ["covdefaults (>=2.2)", "coverage (>=6.4.2)", "pytest (>=7.1.2)", "pytest-cov (>=3)", "pytest-timeout (>=2.1)"]
+
+[[package]]
+name = "frozenlist"
+version = "1.3.1"
+description = "A list-like structure which implements collections.abc.MutableSequence"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[[package]]
+name = "grpcio"
+version = "1.43.0"
+description = "HTTP/2-based RPC framework"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+six = ">=1.5.2"
+
+[package.extras]
+protobuf = ["grpcio-tools (>=1.43.0)"]
+
 [[package]]
 name = "hermes.typeo"
 version = "0.1.5"
@@ -174,6 +257,29 @@ python-versions = ">=3.8,<4.0"
 [package.dependencies]
 toml = ">=0.10.2,<0.11.0"
 
+[[package]]
+name = "idna"
+version = "3.3"
+description = "Internationalized Domain Names in Applications (IDNA)"
+category = "main"
+optional = false
+python-versions = ">=3.5"
+
+[[package]]
+name = "importlib-resources"
+version = "5.9.0"
+description = "Read resources from Python packages"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
+
+[package.extras]
+docs = ["sphinx", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "jaraco.tidelift (>=1.4)"]
+testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)"]
+
 [[package]]
 name = "iniconfig"
 version = "1.1.1"
@@ -182,6 +288,32 @@ category = "dev"
 optional = false
 python-versions = "*"
 
+[[package]]
+name = "jsonschema"
+version = "4.9.1"
+description = "An implementation of JSON Schema validation for Python"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+attrs = ">=17.4.0"
+importlib-resources = {version = ">=1.4.0", markers = "python_version < \"3.9\""}
+pkgutil-resolve-name = {version = ">=1.3.10", markers = "python_version < \"3.9\""}
+pyrsistent = ">=0.14.0,<0.17.0 || >0.17.0,<0.17.1 || >0.17.1,<0.17.2 || >0.17.2"
+
+[package.extras]
+format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"]
+format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=1.11)"]
+
+[[package]]
+name = "msgpack"
+version = "1.0.4"
+description = "MessagePack serializer"
+category = "main"
+optional = false
+python-versions = "*"
+
 [[package]]
 name = "numpy"
 version = "1.22.4"
@@ -201,6 +333,46 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 [package.dependencies]
 pyparsing = ">=2.0.2"
 
+[[package]]
+name = "pandas"
+version = "1.4.3"
+description = "Powerful data structures for data analysis, time series, and statistics"
+category = "main"
+optional = false
+python-versions = ">=3.8"
+
+[package.dependencies]
+numpy = [
+    {version = ">=1.18.5", markers = "platform_machine != \"aarch64\" and platform_machine != \"arm64\" and python_version < \"3.10\""},
+    {version = ">=1.19.2", markers = "platform_machine == \"aarch64\" and python_version < \"3.10\""},
+    {version = ">=1.20.0", markers = "platform_machine == \"arm64\" and python_version < \"3.10\""},
+]
+python-dateutil = ">=2.8.1"
+pytz = ">=2020.1"
+
+[package.extras]
+test = ["hypothesis (>=5.5.3)", "pytest (>=6.0)", "pytest-xdist (>=1.31)"]
+
+[[package]]
+name = "pkgutil-resolve-name"
+version = "1.3.10"
+description = "Resolve a name to an object."
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
+name = "platformdirs"
+version = "2.5.2"
+description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+docs = ["furo (>=2021.7.5b38)", "proselint (>=0.10.2)", "sphinx-autodoc-typehints (>=1.12)", "sphinx (>=4)"]
+test = ["appdirs (==1.4.4)", "pytest-cov (>=2.7)", "pytest-mock (>=3.6)", "pytest (>=6)"]
+
 [[package]]
 name = "pluggy"
 version = "1.0.0"
@@ -213,6 +385,14 @@ python-versions = ">=3.6"
 dev = ["pre-commit", "tox"]
 testing = ["pytest", "pytest-benchmark"]
 
+[[package]]
+name = "protobuf"
+version = "3.20.1"
+description = "Protocol Buffers"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
 [[package]]
 name = "py"
 version = "1.11.0"
@@ -247,6 +427,14 @@ python-versions = ">=3.6.8"
 [package.extras]
 diagrams = ["railroad-diagrams", "jinja2"]
 
+[[package]]
+name = "pyrsistent"
+version = "0.18.1"
+description = "Persistent/Functional/Immutable data structures"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
 [[package]]
 name = "pytest"
 version = "6.2.5"
@@ -268,6 +456,91 @@ toml = "*"
 [package.extras]
 testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"]
 
+[[package]]
+name = "python-dateutil"
+version = "2.8.2"
+description = "Extensions to the standard Python datetime module"
+category = "main"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+
+[package.dependencies]
+six = ">=1.5"
+
+[[package]]
+name = "pytz"
+version = "2022.1"
+description = "World timezone definitions, modern and historical"
+category = "main"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "pyyaml"
+version = "6.0"
+description = "YAML parser and emitter for Python"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
+name = "ray"
+version = "1.13.0"
+description = "Ray provides a simple, universal API for building distributed applications."
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+aiosignal = "*"
+attrs = "*"
+click = ">=7.0,<=8.0.4"
+filelock = "*"
+frozenlist = "*"
+grpcio = ">=1.28.1,<=1.43.0"
+jsonschema = "*"
+msgpack = ">=1.0.0,<2.0.0"
+numpy = [
+    {version = ">=1.16", markers = "python_version < \"3.9\""},
+    {version = ">=1.19.3", markers = "python_version >= \"3.9\""},
+]
+pandas = {version = "*", optional = true, markers = "extra == \"tune\""}
+protobuf = ">=3.15.3,<4.0.0"
+pyyaml = "*"
+requests = "*"
+tabulate = {version = "*", optional = true, markers = "extra == \"tune\""}
+tensorboardX = {version = ">=1.9", optional = true, markers = "extra == \"tune\""}
+virtualenv = "*"
+
+[package.extras]
+all = ["aiohttp-cors", "opentelemetry-api (==1.1.0)", "scikit-image", "pyyaml", "aiorwlock", "kubernetes", "requests", "fastapi", "kopf", "dm-tree", "ray-cpp (==1.13.0)", "tensorboardX (>=1.9)", "prometheus-client (>=0.7.1,<0.14.0)", "pyarrow (>=6.0.1,<7.0.0)", "colorful", "starlette", "opentelemetry-sdk (==1.1.0)", "py-spy (>=0.2.0)", "scipy", "lz4", "aiohttp (>=3.7)", "smart-open", "tabulate", "gpustat (>=1.0.0b1)", "gym (<0.22)", "opentelemetry-exporter-otlp (==1.1.0)", "fsspec", "opencensus", "urllib3", "numpy (>=1.20)", "pandas", "uvicorn (==0.16.0)", "matplotlib (!=3.4.3)"]
+cpp = ["ray-cpp (==1.13.0)"]
+data = ["pandas", "pyarrow (>=6.0.1,<7.0.0)", "fsspec", "numpy (>=1.20)"]
+default = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "py-spy (>=0.2.0)", "requests", "gpustat (>=1.0.0b1)", "opencensus", "prometheus-client (>=0.7.1,<0.14.0)", "smart-open"]
+k8s = ["kubernetes", "urllib3", "kopf"]
+observability = ["opentelemetry-api (==1.1.0)", "opentelemetry-sdk (==1.1.0)", "opentelemetry-exporter-otlp (==1.1.0)"]
+rllib = ["pandas", "tabulate", "tensorboardX (>=1.9)", "requests", "dm-tree", "gym (<0.22)", "lz4", "matplotlib (!=3.4.3)", "scikit-image", "pyyaml", "scipy"]
+serve = ["opencensus", "aiohttp-cors", "prometheus-client (>=0.7.1,<0.14.0)", "aiohttp (>=3.7)", "aiorwlock", "colorful", "uvicorn (==0.16.0)", "requests", "fastapi", "starlette", "smart-open", "py-spy (>=0.2.0)", "gpustat (>=1.0.0b1)"]
+tune = ["pandas", "tabulate", "tensorboardX (>=1.9)", "requests"]
+
+[[package]]
+name = "requests"
+version = "2.28.1"
+description = "Python HTTP for Humans."
+category = "main"
+optional = false
+python-versions = ">=3.7, <4"
+
+[package.dependencies]
+certifi = ">=2017.4.17"
+charset-normalizer = ">=2,<3"
+idna = ">=2.5,<4"
+urllib3 = ">=1.21.1,<1.27"
+
+[package.extras]
+socks = ["PySocks (>=1.5.6,!=1.5.7)"]
+use_chardet_on_py3 = ["chardet (>=3.0.2,<6)"]
+
 [[package]]
 name = "scipy"
 version = "1.7.3"
@@ -279,6 +552,37 @@ python-versions = ">=3.7,<3.11"
 [package.dependencies]
 numpy = ">=1.16.5,<1.23.0"
 
+[[package]]
+name = "six"
+version = "1.16.0"
+description = "Python 2 and 3 compatibility utilities"
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+
+[[package]]
+name = "tabulate"
+version = "0.8.10"
+description = "Pretty-print tabular data"
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+
+[package.extras]
+widechars = ["wcwidth"]
+
+[[package]]
+name = "tensorboardx"
+version = "2.5.1"
+description = "TensorBoardX lets you watch Tensors Flow without Tensorflow"
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+numpy = "*"
+protobuf = ">=3.8.0,<=3.20.1"
+
 [[package]]
 name = "toml"
 version = "0.10.2"
@@ -306,12 +610,55 @@ category = "main"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "urllib3"
+version = "1.26.11"
+description = "HTTP library with thread-safe connection pooling, file post, and more."
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, <4"
+
+[package.extras]
+brotli = ["brotlicffi (>=0.8.0)", "brotli (>=1.0.9)", "brotlipy (>=0.6.0)"]
+secure = ["pyOpenSSL (>=0.14)", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "certifi", "ipaddress"]
+socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
+
+[[package]]
+name = "virtualenv"
+version = "20.16.3"
+description = "Virtual Python Environment builder"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+distlib = ">=0.3.5,<1"
+filelock = ">=3.4.1,<4"
+platformdirs = ">=2.4,<3"
+
+[package.extras]
+docs = ["proselint (>=0.13)", "sphinx (>=5.1.1)", "sphinx-argparse (>=0.3.1)", "sphinx-rtd-theme (>=1)", "towncrier (>=21.9)"]
+testing = ["coverage (>=6.2)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=21.3)", "pytest (>=7.0.1)", "pytest-env (>=0.6.2)", "pytest-freezegun (>=0.4.2)", "pytest-mock (>=3.6.1)", "pytest-randomly (>=3.10.3)", "pytest-timeout (>=2.1)"]
+
+[[package]]
+name = "zipp"
+version = "3.8.1"
+description = "Backport of pathlib-compatible object wrapper for zip files"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+docs = ["sphinx", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "jaraco.tidelift (>=1.4)"]
+testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.3)", "jaraco.itertools", "func-timeout", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)"]
+
 [metadata]
 lock-version = "1.1"
 python-versions = "^3.8,<3.10"
-content-hash = "052bfe6cae6f1ef29413b915eafc7ea0e12fd7a51f13d8ea280468389901642a"
+content-hash = "884277ab6d4ca7bcf9557d389aa68f325bc16d76ccca4953d6039ed806a082d8"
 
 [metadata.files]
+aiosignal = []
 astropy = [
     {file = "astropy-4.3.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:a0764d7f68034c584dda8d1c9cc4357ade05cec4c1134db43bce804fcf656ff1"},
     {file = "astropy-4.3.1-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:ce1095e385ec74c655866eacd1853535fbc2dd2c42a8188503fe9a68b8a98ea0"},
@@ -332,6 +679,12 @@ astropy = [
 ]
 atomicwrites = []
 attrs = []
+certifi = [
+    {file = "certifi-2022.6.15-py3-none-any.whl", hash = "sha256:fe86415d55e84719d75f8b69414f6438ac3547d2078ab91b67e779ef69378412"},
+    {file = "certifi-2022.6.15.tar.gz", hash = "sha256:84c85a9078b11105f04f3036a9482ae10e4621616db313fe045dd24743a0820d"},
+]
+charset-normalizer = []
+click = []
 colorama = [
     {file = "colorama-0.4.5-py2.py3-none-any.whl", hash = "sha256:854bf444933e37f5824ae7bfc1e98d5bce2ebe4160d46b5edf346a89358e99da"},
     {file = "colorama-0.4.5.tar.gz", hash = "sha256:e6c6b4334fc50988a639d9b98aa429a0b57da6e17b9a44f0451f930b6967b7a4"},
@@ -343,23 +696,108 @@ colorama = [
 "deepclean.logging" = []
 "deepclean.signal" = []
 "deepclean.trainer" = []
+distlib = []
+filelock = []
+frozenlist = []
+grpcio = [
+    {file = "grpcio-1.43.0-cp310-cp310-linux_armv7l.whl", hash = "sha256:a4e786a8ee8b30b25d70ee52cda6d1dbba2a8ca2f1208d8e20ed8280774f15c8"},
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+    {file = "PyYAML-6.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:055d937d65826939cb044fc8c9b08889e8c743fdc6a32b33e2390f66013e449b"},
+    {file = "PyYAML-6.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e61ceaab6f49fb8bdfaa0f92c4b57bcfbea54c09277b1b4f7ac376bfb7a7c174"},
+    {file = "PyYAML-6.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d67d839ede4ed1b28a4e8909735fc992a923cdb84e618544973d7dfc71540803"},
+    {file = "PyYAML-6.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cba8c411ef271aa037d7357a2bc8f9ee8b58b9965831d9e51baf703280dc73d3"},
+    {file = "PyYAML-6.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:40527857252b61eacd1d9af500c3337ba8deb8fc298940291486c465c8b46ec0"},
+    {file = "PyYAML-6.0-cp39-cp39-win32.whl", hash = "sha256:b5b9eccad747aabaaffbc6064800670f0c297e52c12754eb1d976c57e4f74dcb"},
+    {file = "PyYAML-6.0-cp39-cp39-win_amd64.whl", hash = "sha256:b3d267842bf12586ba6c734f89d1f5b871df0273157918b0ccefa29deb05c21c"},
+    {file = "PyYAML-6.0.tar.gz", hash = "sha256:68fb519c14306fec9720a2a5b45bc9f0c8d1b9c72adf45c37baedfcd949c35a2"},
+]
+ray = []
+requests = []
 scipy = [
     {file = "scipy-1.7.3-1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:c9e04d7e9b03a8a6ac2045f7c5ef741be86727d8f49c45db45f244bdd2bcff17"},
     {file = "scipy-1.7.3-1-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:b0e0aeb061a1d7dcd2ed59ea57ee56c9b23dd60100825f98238c06ee5cc4467e"},
@@ -434,9 +918,18 @@ scipy = [
     {file = "scipy-1.7.3-cp39-cp39-win_amd64.whl", hash = "sha256:3f78181a153fa21c018d346f595edd648344751d7f03ab94b398be2ad083ed3e"},
     {file = "scipy-1.7.3.tar.gz", hash = "sha256:ab5875facfdef77e0a47d5fd39ea178b58e60e454a4c85aa1e52fcb80db7babf"},
 ]
+six = [
+    {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
+    {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
+]
+tabulate = []
+tensorboardx = []
 toml = [
     {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
     {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
 ]
 torch = []
 typing-extensions = []
+urllib3 = []
+virtualenv = []
+zipp = []
diff --git a/projects/sandbox/train/pyproject.toml b/projects/sandbox/train/pyproject.toml
index 120063c..887a56b 100644
--- a/projects/sandbox/train/pyproject.toml
+++ b/projects/sandbox/train/pyproject.toml
@@ -6,7 +6,8 @@ authors = ["Alec Gunny <alec.gunny@gmail.com>"]
 readme = "README.md"
 
 [tool.poetry.scripts]
-train = "train:main"
+train = "train:get_data"
+search = "train:hp_search"
 
 [tool.poetry.dependencies]
 python = "^3.8,<3.10"
@@ -14,6 +15,7 @@ python = "^3.8,<3.10"
 "deepclean.gwftools" = {path = "../../../libs/gwftools", develop = true}
 "deepclean.logging" = {path = "../../../libs/logging", develop = true}
 "deepclean.trainer" = {path = "../../../libs/trainer", develop = true, extras=["wrapper"]}
+ray = {version = "^1.13", extras=["tune"]}
 
 [tool.poetry.dev-dependencies]
 pytest = "^6.2"
diff --git a/projects/sandbox/train/train.py b/projects/sandbox/train/train.py
index b6218f1..f029111 100644
--- a/projects/sandbox/train/train.py
+++ b/projects/sandbox/train/train.py
@@ -1,12 +1,18 @@
+import logging
 from pathlib import Path
 from typing import Optional
 
 import numpy as np
+import torch
+from ray import tune
 
+from deepclean.architectures import DeepCleanAE
 from deepclean.gwftools.channels import ChannelList, get_channels
 from deepclean.gwftools.io import find as find_data
 from deepclean.logging import configure_logging
+from deepclean.trainer.trainer import train
 from deepclean.trainer.wrapper import trainify
+from hermes.typeo import typeo
 
 
 # note that this function decorator acts both to
@@ -17,7 +23,7 @@
 # from deepclean.trainer.trainer.train to command line
 # execution and parsing
 @trainify
-def main(
+def get_data(
     channels: ChannelList,
     t0: float,
     duration: float,
@@ -129,5 +135,113 @@ def main(
     return train_X, train_y, valid_X, valid_y
 
 
+@typeo
+def hp_search(
+    output_directory: Path,
+    # data params
+    channels: ChannelList,
+    t0: float,
+    duration: float,
+    sample_rate: float,
+    kernel_length: float,
+    kernel_stride: float,
+    valid_frac: Optional[float] = None,
+    # data loading params
+    data_path: Optional[Path] = None,
+    force_download: bool = False,
+    chunk_length: float = 0,
+    num_chunks: int = 1,
+    # preproc params
+    freq_low: float = 55.0,
+    freq_high: float = 65.0,
+    filter_order: int = 8,
+    # optimization params
+    num_trials: int = 10,
+    cpus_per_trial: int = 8,
+    batch_size: int = 32,
+    max_epochs: int = 40,
+    init_weights: Optional[Path] = None,
+    patience: Optional[int] = None,
+    factor: float = 0.1,
+    early_stop: int = 20,
+    # criterion params
+    fftlength: float = 2,
+    overlap: Optional[float] = None,
+    alpha: float = 1.0,
+    # misc params
+    profile: bool = False,
+    use_amp: bool = False,
+    verbose: bool = False,
+):
+    def trainable(config):
+        data = get_data(
+            channels=channels,
+            t0=t0,
+            duration=duration,
+            sample_rate=sample_rate,
+            output_directory=output_directory,
+            data_path=data_path,
+            valid_frac=valid_frac,
+            force_download=force_download,
+            verbose=verbose,
+        )
+        if valid_frac is not None:
+            X, y, valid_X, valid_y = data
+            valid_data = (valid_X, valid_y)
+        else:
+            X, y = data
+            valid_data = None
+
+        history = train(
+            architecture=DeepCleanAE,
+            output_directory=tune.get_trial_dir(),
+            X=X,
+            y=y,
+            kernel_length=kernel_length,
+            kernel_stride=kernel_stride,
+            sample_rate=sample_rate,
+            chunk_length=chunk_length,
+            valid_data=valid_data,
+            freq_low=freq_low,
+            freq_high=freq_high,
+            filter_order=filter_order,
+            batch_size=batch_size,
+            max_epochs=max_epochs,
+            init_weights=init_weights,
+            lr=config["learning_rate"],
+            weight_decay=config["weight_decay"],
+            patience=patience,
+            factor=factor,
+            early_stop=early_stop,
+            fftlength=fftlength,
+            overlap=overlap,
+            alpha=alpha,
+            device="cuda" if torch.cuda.is_available() else "cpu",
+            profile=profile,
+            use_amp=use_amp,
+        )
+        return {"score": min(history["valid_loss"])}
+
+    space = {
+        "learning_rate": tune.loguniform(1e-3, 1e-1),
+        "weight_decay": tune.loguniform(1e-6, 1e-3),
+    }
+
+    output_directory = Path(output_directory)
+    results = tune.run(
+        trainable,
+        config=space,
+        num_samples=num_trials,
+        mode="min",
+        resources_per_trial={"cpu": cpus_per_trial, "gpu": 1},
+        local_dir=output_directory.parent,
+        name=output_directory.name,
+        trial_name_creator=lambda trial: trial.trial_id,
+    )
+
+    best_trial = results.get_best_trial("score", "min")
+    logging.info(f"Best ASDR: {best_trial.last_result}")
+
+
 if __name__ == "__main__":
-    main()
+    get_data()