Welcome!¶

Welcome to Samlab: the Sandia Machine Learning Laboratory. Samlab provides a set of tools for creating, monitoring, and analyzing machine learning experiments.

Documentation¶

Installation¶

Using Pip / Easy Install¶

If your package manager doesn’t support Samlab, or doesn’t have the latest version, your next option should be Python setup tools like pip. You can always install the latest stable version of Samlab and its required dependencies using:

$ pip install samlab

… following that, you’ll be able to use all of Samlab’s features.

From Source¶

Finally, if you want to work with the latest, bleeding-edge Samlab goodness, you can install it using the source code:

$ git clone https://github.com/sandialabs/samlab
$ cd samlab
$ sudo python setup.py install

The setup script installs Samlab’s required dependencies and copies Samlab into your Python site-packages directory, ready to go.

Overview¶

Samlab provides a set of tools that you can use to create, monitor, and analyze your machine learning experiments:

Command Line Tools¶

samlab-gputop provides a colorful, updating display of how hard your GPUs are working.

Dashboard¶

The Samlab dashboard is a web server providing a graphical user interface for annotating images, monitoring experiments, and analyzing results. Unlike comparable tools (Tensorboard, Visdom, Vott, …), Samlab adapts to your data instead of forcing you to store it in databases, binary records, or other organizations. In most cases, a Samlab data adapter can be written in fewer lines of code than you’d need to convert your data to a tool-specific format, and avoids the pitfalls of data duplication.

Interaction¶

Samlab functions make it easy to see your experiments’ progress, and interrupt an experiment gracefully, without data loss.

Notebooks¶

Samlab provides convenience functions to simplify displaying data in Jupyter notebooks.

Torch¶

Samlab provides convenience functions for working with PyTorch, such as a function to automatically choose a Torch device based on load, making it easy to run multiple experiments simultaneously without accidentally selecting the same device.

API Reference¶

samlab module¶

Tools for managing machine learning experiments.

exception samlab.DeprecationWarning[source]¶: Bases: Warning

Warning

exception ‘samlab.DeprecationWarning’ undocumented

samlab.deprecated(message)[source]¶: Warning

function ‘samlab.deprecated’ undocumented

samlab.dashboard module¶

Warning

module ‘samlab.dashboard’ undocumented

class samlab.dashboard.AllowConverter(map, *items)[source]¶

Bases: werkzeug.routing.BaseConverter

Warning

class ‘samlab.dashboard.AllowConverter’ undocumented

to_python(value)[source]¶: Warning

method ‘samlab.dashboard.AllowConverter.to_python’ undocumented

class samlab.dashboard.ExcludeConverter(map, *items)[source]¶

Bases: werkzeug.routing.BaseConverter

Warning

class ‘samlab.dashboard.ExcludeConverter’ undocumented

to_python(value)[source]¶: Warning

method ‘samlab.dashboard.ExcludeConverter.to_python’ undocumented

samlab.dashboard.require_auth(f)[source]¶: Warning

function ‘samlab.dashboard.require_auth’ undocumented

samlab.dashboard.require_permissions(permissions)[source]¶: Warning

function ‘samlab.dashboard.require_permissions’ undocumented

samlab.dashboard.acl module¶

Warning

module ‘samlab.dashboard.acl’ undocumented

class samlab.dashboard.acl.ForbidAll[source]¶

Bases: object

Access control list strategy that prevents anyone from doing anything.

class samlab.dashboard.acl.List(**permissions)[source]¶

Bases: object

Access control list strategy based on lists of usernames.

class samlab.dashboard.acl.PermitAll[source]¶

Bases: object

Access control list strategy that allows anyone to do anything.

samlab.dashboard.authentication module¶

Warning

module ‘samlab.dashboard.authentication’ undocumented

class samlab.dashboard.authentication.Basic(realm)[source]¶

Bases: object

Instruct clients to provide basic authentication.

class samlab.dashboard.authentication.Null[source]¶: Bases: object

Warning

class ‘samlab.dashboard.authentication.Null’ undocumented

samlab.dashboard.backend module¶

Warning

module ‘samlab.dashboard.backend’ undocumented

samlab.dashboard.backend.documents module¶

Warning

module ‘samlab.dashboard.backend.documents’ undocumented

class samlab.dashboard.backend.documents.Directory(*, name, root, pattern='.*\\.(html|txt)')[source]¶

Bases: samlab.dashboard.backend.documents.DocumentCollection, watchdog.events.FileSystemEventHandler

Warning

class ‘samlab.dashboard.backend.documents.Directory’ undocumented

get(index)[source]¶

Return a document by index.

Parameters: index (int, required) – The index of the image to return.
Returns: image – If str, the filesystem path of the image.
Return type: str or numpy.ndarray

property name¶: Warning

property ‘samlab.dashboard.backend.documents.Directory.name’ undocumented

on_any_event(event)[source]¶

Catch-all event handler.

Parameters: event (FileSystemEvent) – The event object representing the file system event.

reload()[source]¶: Warning

method ‘samlab.dashboard.backend.documents.Directory.reload’ undocumented

class samlab.dashboard.backend.documents.DocumentCollection[source]¶

Bases: abc.ABC

Warning

class ‘samlab.dashboard.backend.documents.DocumentCollection’ undocumented

abstract get(index)[source]¶

Return a document by index.

Parameters: index (int, required) – The index of the image to return.
Returns: image – If str, the filesystem path of the image.
Return type: str or numpy.ndarray

abstract property name¶: Warning

property ‘samlab.dashboard.backend.documents.DocumentCollection.name’ undocumented

property service¶: Warning

property ‘samlab.dashboard.backend.documents.DocumentCollection.service’ undocumented

samlab.dashboard.backend.favorites module¶

Warning

module ‘samlab.dashboard.backend.favorites’ undocumented

class samlab.dashboard.backend.favorites.Favorites[source]¶

Bases: abc.ABC

Warning

class ‘samlab.dashboard.backend.favorites.Favorites’ undocumented

abstract create(service, name, label)[source]¶

Mark an item as a favorite.

Parameters

service (str, required) – Service type.
name (str, required.) – Service name of the item to be favorited.
label (str, required.) – Human-readable label for the favorite.

abstract delete(service, name)[source]¶

Un-favorite an item.

Parameters

service (str, required) – Service type.
name (str, required.) – Service name of the item to be un-favorited.

abstract get()[source]¶: Return a sequence of favorites.

property name¶: Return the name of this backend.

property service¶: Return the service type implemented by this backend.

class samlab.dashboard.backend.favorites.JSONFile(storage)[source]¶

Bases: samlab.dashboard.backend.favorites.Favorites

Warning

class ‘samlab.dashboard.backend.favorites.JSONFile’ undocumented

create(service, name, label)[source]¶

Mark an item as a favorite.

Parameters

service (str, required) – Service type.
name (str, required.) – Service name of the item to be favorited.
label (str, required.) – Human-readable label for the favorite.

delete(service, name)[source]¶

Un-favorite an item.

Parameters

service (str, required) – Service type.
name (str, required.) – Service name of the item to be un-favorited.

get()[source]¶: Return a sequence of favorites.

samlab.dashboard.backend.images module¶

Warning

module ‘samlab.dashboard.backend.images’ undocumented

class samlab.dashboard.backend.images.COCO(*, name, annotations, images)[source]¶

Bases: samlab.dashboard.backend.images.ImageCollection

Warning

class ‘samlab.dashboard.backend.images.COCO’ undocumented

bboxes(index)[source]¶

Return a list of bounding box annotations for an image.

Parameters: index (int, required) – Index of the image.
Returns: bboxes – Sequence of dict, one per bounding box. Each dict must have “left”, “top”, “width”, “height”, “category”, and “color” keys.
Return type: list

property categories¶

Return a list of existing categories for the collection.

Returns: categories – Sequence of str, one per category, with a unique category name.
Return type: list

get(index)[source]¶

Return an image.

Parameters: index (int, required) – The index of the image to return.
Returns: image – If str, the filesystem path of the image.
Return type: str

metadata(index)[source]¶: Warning

method ‘samlab.dashboard.backend.images.COCO.metadata’ undocumented

property name¶: Warning

property ‘samlab.dashboard.backend.images.COCO.name’ undocumented

tags(index)[source]¶: Warning

method ‘samlab.dashboard.backend.images.COCO.tags’ undocumented

class samlab.dashboard.backend.images.Directory(*, name, root, pattern='.*\\.(png|jpg|jpeg|PNG|JPG|JPEG)')[source]¶

Bases: samlab.dashboard.backend.images.ImageCollection

Warning

class ‘samlab.dashboard.backend.images.Directory’ undocumented

get(index)[source]¶

Return an image.

Parameters: index (int, required) – The index of the image to return.
Returns: image – If str, the filesystem path of the image.
Return type: str

property name¶: Warning

property ‘samlab.dashboard.backend.images.Directory.name’ undocumented

tags(index)[source]¶: Warning

method ‘samlab.dashboard.backend.images.Directory.tags’ undocumented

class samlab.dashboard.backend.images.ImageCollection[source]¶

Bases: abc.ABC

Warning

class ‘samlab.dashboard.backend.images.ImageCollection’ undocumented

bboxes(index)[source]¶

Return a list of bounding box annotations for an image.

Parameters: index (int, required) – Index of the image.
Returns: bboxes – Sequence of dict, one per bounding box. Each dict must have “left”, “top”, “width”, “height”, “category”, and “color” keys.
Return type: list

property categories¶

Return a list of existing categories for the collection.

Returns: categories – Sequence of str, one per category, with a unique category name.
Return type: list

abstract get(index)[source]¶

Return an image.

Parameters: index (int, required) – The index of the image to return.
Returns: image – If str, the filesystem path of the image.
Return type: str

metadata(index)[source]¶: Warning

method ‘samlab.dashboard.backend.images.ImageCollection.metadata’ undocumented

abstract property name¶: Warning

property ‘samlab.dashboard.backend.images.ImageCollection.name’ undocumented

put_bboxes(index, bboxes)[source]¶: Warning

method ‘samlab.dashboard.backend.images.ImageCollection.put_bboxes’ undocumented

put_tags(index, tags)[source]¶: Warning

method ‘samlab.dashboard.backend.images.ImageCollection.put_tags’ undocumented

property service¶: Warning

property ‘samlab.dashboard.backend.images.ImageCollection.service’ undocumented

tags(index)[source]¶: Warning

method ‘samlab.dashboard.backend.images.ImageCollection.tags’ undocumented

class samlab.dashboard.backend.images.ImageNet(*, name, root, split)[source]¶

Bases: samlab.dashboard.backend.images.ImageCollection

Warning

class ‘samlab.dashboard.backend.images.ImageNet’ undocumented

get(index)[source]¶

Return an image.

Parameters: index (int, required) – The index of the image to return.
Returns: image – If str, the filesystem path of the image.
Return type: str

property name¶: Warning

property ‘samlab.dashboard.backend.images.ImageNet.name’ undocumented

tags(index)[source]¶: Warning

method ‘samlab.dashboard.backend.images.ImageNet.tags’ undocumented

samlab.dashboard.backend.layouts module¶

Warning

module ‘samlab.dashboard.backend.layouts’ undocumented

class samlab.dashboard.backend.layouts.JSONFile(storage)[source]¶

Bases: samlab.dashboard.backend.layouts.Layouts

Warning

class ‘samlab.dashboard.backend.layouts.JSONFile’ undocumented

get(*, lid)[source]¶: Warning

method ‘samlab.dashboard.backend.layouts.JSONFile.get’ undocumented

put(*, content)[source]¶: Warning

method ‘samlab.dashboard.backend.layouts.JSONFile.put’ undocumented

class samlab.dashboard.backend.layouts.Layouts[source]¶

Bases: abc.ABC

Warning

class ‘samlab.dashboard.backend.layouts.Layouts’ undocumented

abstract get(*, lid)[source]¶: Warning

method ‘samlab.dashboard.backend.layouts.Layouts.get’ undocumented

property name¶: Warning

property ‘samlab.dashboard.backend.layouts.Layouts.name’ undocumented

abstract put(*, content)[source]¶: Warning

method ‘samlab.dashboard.backend.layouts.Layouts.put’ undocumented

property service¶: Warning

property ‘samlab.dashboard.backend.layouts.Layouts.service’ undocumented

samlab.dashboard.backend.timeseries module¶

Warning

module ‘samlab.dashboard.backend.timeseries’ undocumented

class samlab.dashboard.backend.timeseries.Directory(*, name, root, pattern='.*\\.(csv|CSV)')[source]¶

Bases: samlab.dashboard.backend.timeseries.TimeseriesCollection, watchdog.events.FileSystemEventHandler

Warning

class ‘samlab.dashboard.backend.timeseries.Directory’ undocumented

get(index)[source]¶

Return a timeseries by index.

Parameters: index (int, required) – The index of the timeseries to return.
Returns: timeseries – Numpy array containing timeseries fields.
Return type: numpy.ndarray

property name¶: Warning

property ‘samlab.dashboard.backend.timeseries.Directory.name’ undocumented

on_any_event(event)[source]¶

Catch-all event handler.

Parameters: event (FileSystemEvent) – The event object representing the file system event.

reload()[source]¶: Warning

method ‘samlab.dashboard.backend.timeseries.Directory.reload’ undocumented

class samlab.dashboard.backend.timeseries.TimeseriesCollection[source]¶

Bases: abc.ABC

Warning

class ‘samlab.dashboard.backend.timeseries.TimeseriesCollection’ undocumented

abstract get(index)[source]¶

Return a timeseries by index.

Parameters: index (int, required) – The index of the timeseries to return.
Returns: timeseries – Numpy array containing timeseries fields.
Return type: numpy.ndarray

abstract property name¶: Warning

property ‘samlab.dashboard.backend.timeseries.TimeseriesCollection.name’ undocumented

property service¶: Warning

property ‘samlab.dashboard.backend.timeseries.TimeseriesCollection.service’ undocumented

samlab.dashboard.credentials module¶

Warning

module ‘samlab.dashboard.credentials’ undocumented

class samlab.dashboard.credentials.ExactMatch(username='test', password='test')[source]¶

Bases: object

Allow credentials that match the given username and password.

class samlab.dashboard.credentials.ForbidAll[source]¶

Bases: object

Forbid all credentials.

class samlab.dashboard.credentials.LDAP(server, user_dn, timeout=5)[source]¶

Bases: object

Check credentials against an LDAP server.

class samlab.dashboard.credentials.PermitAll[source]¶

Bases: object

Permit all non-empty credentials.

class samlab.dashboard.credentials.PermitAny[source]¶

Bases: object

Permit any credentials, including empty.

samlab.dashboard.service module¶

Warning

module ‘samlab.dashboard.service’ undocumented

samlab.dashboard.service.register_backend(backend)[source]¶: Warning

function ‘samlab.dashboard.service.register_backend’ undocumented

samlab.dashboard.service.require_backend(service, name=None)[source]¶: Warning

function ‘samlab.dashboard.service.require_backend’ undocumented

samlab.dashboard.service.asynchronous module¶

Warning

module ‘samlab.dashboard.service.asynchronous’ undocumented

samlab.dashboard.service.asynchronous.connect()[source]¶: Warning

function ‘samlab.dashboard.service.asynchronous.connect’ undocumented

samlab.dashboard.service.asynchronous.disconnect()[source]¶: Warning

function ‘samlab.dashboard.service.asynchronous.disconnect’ undocumented

samlab.dashboard.service.asynchronous.test()[source]¶: Warning

function ‘samlab.dashboard.service.asynchronous.test’ undocumented

samlab.dashboard.service.backends module¶

Warning

module ‘samlab.dashboard.service.backends’ undocumented

samlab.dashboard.service.backends.get_backends()[source]¶: Warning

function ‘samlab.dashboard.service.backends.get_backends’ undocumented

samlab.dashboard.service.basic module¶

Warning

module ‘samlab.dashboard.service.basic’ undocumented

samlab.dashboard.service.basic.get_identity()[source]¶: Warning

function ‘samlab.dashboard.service.basic.get_identity’ undocumented

samlab.dashboard.service.basic.get_index()[source]¶: Warning

function ‘samlab.dashboard.service.basic.get_index’ undocumented

samlab.dashboard.service.basic.get_permissions()[source]¶: Warning

function ‘samlab.dashboard.service.basic.get_permissions’ undocumented

samlab.dashboard.service.basic.get_ready()[source]¶: Warning

function ‘samlab.dashboard.service.basic.get_ready’ undocumented

samlab.dashboard.service.basic.get_server()[source]¶: Warning

function ‘samlab.dashboard.service.basic.get_server’ undocumented

samlab.dashboard.service.documents module¶

Warning

module ‘samlab.dashboard.service.documents’ undocumented

samlab.dashboard.service.documents.get_document(name, index)[source]¶: Warning

function ‘samlab.dashboard.service.documents.get_document’ undocumented

samlab.dashboard.service.documents.get_document_count(name)[source]¶: Warning

function ‘samlab.dashboard.service.documents.get_document_count’ undocumented

samlab.dashboard.service.favorites module¶

Warning

module ‘samlab.dashboard.service.favorites’ undocumented

samlab.dashboard.service.favorites.get_favorites()[source]¶: Warning

function ‘samlab.dashboard.service.favorites.get_favorites’ undocumented

samlab.dashboard.service.favorites.put_delete_favorites_service_name(service, name)[source]¶: Warning

function ‘samlab.dashboard.service.favorites.put_delete_favorites_service_name’ undocumented

samlab.dashboard.service.images module¶

Warning

module ‘samlab.dashboard.service.images’ undocumented

samlab.dashboard.service.images.get_image(name, index)[source]¶: Warning

function ‘samlab.dashboard.service.images.get_image’ undocumented

samlab.dashboard.service.images.get_image_collection(name)[source]¶: Warning

function ‘samlab.dashboard.service.images.get_image_collection’ undocumented

samlab.dashboard.service.images.get_image_collection_categories(name)[source]¶: Warning

function ‘samlab.dashboard.service.images.get_image_collection_categories’ undocumented

samlab.dashboard.service.images.get_image_metadata(name, index)[source]¶: Warning

function ‘samlab.dashboard.service.images.get_image_metadata’ undocumented

samlab.dashboard.service.images.get_put_image_bboxes(name, index)[source]¶: Warning

function ‘samlab.dashboard.service.images.get_put_image_bboxes’ undocumented

samlab.dashboard.service.images.get_put_image_tags(name, index)[source]¶: Warning

function ‘samlab.dashboard.service.images.get_put_image_tags’ undocumented

samlab.dashboard.service.layouts module¶

Warning

module ‘samlab.dashboard.service.layouts’ undocumented

samlab.dashboard.service.layouts.get_layouts_lid(lid)[source]¶: Warning

function ‘samlab.dashboard.service.layouts.get_layouts_lid’ undocumented

samlab.dashboard.service.layouts.get_post_layouts()[source]¶: Warning

function ‘samlab.dashboard.service.layouts.get_post_layouts’ undocumented

samlab.dashboard.service.notify module¶

Warning

module ‘samlab.dashboard.service.notify’ undocumented

samlab.dashboard.service.notify.post_notify()[source]¶: Warning

function ‘samlab.dashboard.service.notify.post_notify’ undocumented

samlab.dashboard.service.timeseries module¶

samlab.debounce module¶

Adapted from https://github.com/salesforce/decorator-operations.

samlab.debounce.debounce(wait)[source]¶: Warning

function ‘samlab.debounce.debounce’ undocumented

samlab.interactive module¶

Utilities to simplify user interaction during experiments.

class samlab.interactive.Progress(desc=None, unit=None)[source]¶

Bases: object

Display a graphical progress bar while iterating over a sequence.

class samlab.interactive.Stop(timeout=5.0)[source]¶

Bases: object

Handle interrupts so training can be interrupted gracefully.

Create an instance of samlab.interactive.Stop and check its triggered property periodically during training. If triggered is True then the user has interrupted the process, either with CTRL-C or the Jupyter Interrupt Kernel button.

trigger()[source]¶: Programmatically trigger an interruption.

property triggered¶: True if the user has interrupted the process, False otherwise.

samlab.notebook module¶

Integration with Jupyter notebooks.

class samlab.notebook.Progress(desc=None, unit=None)[source]¶

Bases: object

Display a graphical progress bar while iterating over a sequence.

samlab.notebook.gallery(paths, captions=None, row_height='auto')[source]¶: Warning

function ‘samlab.notebook.gallery’ undocumented

samlab.torch module¶

Functionality for simplifying work with Pytorch.

samlab.torch.select_device()[source]¶

Automatically choose a Torch device to be used for subsequent computation.

Automatically chooses GPUs over CPUs, prioritizing GPUs that are lightly loaded.

Note

Always returns a valid device, but there is no guarantee that a given device will have sufficient resources for a given computation.

samlab.train module¶

Utilities to simplify training artifacts.

class samlab.train.EarlyStop(patience=10, delta=0)[source]¶

Bases: object

Stop training if a loss doesn’t improve within N iterations.

Parameters: patience (integer, optional) –

property triggered¶: Warning

property ‘samlab.train.EarlyStop.triggered’ undocumented

class samlab.train.Loss(delta=0)[source]¶

Bases: object

Keeps track of whether a loss value has improved.

improved(loss)[source]¶: Warning

method ‘samlab.train.Loss.improved’ undocumented

property value¶: Warning

property ‘samlab.train.Loss.value’ undocumented

samlab.train.k_fold(dataset, n=5, k=2, validation=0.2, count=None)[source]¶: Return sets of indices partitioning a dataset for K-fold cross validation.

samlab.train.random_split(dataset, split=0.1)[source]¶: Return indices that randomly partition a dataset into two sets.

samlab.train.train_validate_test_split(dataset, test=0.2, validation=0.2)[source]¶: Return indices that randomly partition a dataset into training, validation, and test sets.

Compatibility¶

A quick disclaimer on backwards-compatibility for Samlab users:

Samlab follows the Semantic Versioning standard for assigning version numbers in a way that has specific meaning. As of this writing Samlab releases are still in the 0.y.z development phase, which means (among other things) that the API may change at any time. We try not to be abusive about it, but you should be prepared for the occasional bump on the road to the 1.0 release.

Developers¶

Even if you’re not in a position to contribute code to Samlab, there are many ways you can help the project out:

If you use Samlab let us know about it!
Even better, cite Samlab when you publish your work.
Let us know if there are any problems.
Help us document Samlab.
Spread the word!

Getting Started¶

If you haven’t already, you’ll want to get familiar with the Samlab repository at http://github.com/sandialabs/samlab … there, you’ll find the Samlab sources, issue tracker, and wiki.

Next, you’ll need to install Samlab’s dependencies, which you can find in setup.py. Then, you’ll be ready to get Samlab’s source code and use setuptools to install it. To do this, you’ll almost certainly want to use “develop mode”. Develop mode is a a feature provided by setuptools that links the Samlab source code into the install directory instead of copying it … that way you can edit the source code in your git sandbox, and you don’t have to re-install it to test your changes:

$ git clone https://github.com/sandialabs/samlab.git
$ cd samlab
$ python setup.py develop

Versioning¶

Samlab version numbers follow the Semantic Versioning standard.

Coding Style¶

The Samlab source code follows the PEP-8 Style Guide for Python Code.

Running Regression Tests¶

To run the Samlab test suite, simply run regression.py from the top-level source directory:

$ cd samlab
$ python regression.py

The tests will run, providing feedback on successes / failures.

Test Coverage¶

When you run the test suite with regression.py, it also automatically generates code coverage statistics. To see the coverage results, open .cover/index.html in a web browser.

Building the Documentation¶

To build the documentation, run:

$ cd samlab/docs
$ make html

Note that significant subsets of the documentation are written using Jupyter notebooks, so the docs/setup.py script requires Jupyter to convert the notebooks into restructured text files for inclusion with the rest of the documentation.

Once the documentation is built, you can view it by opening docs/_build/html/index.html in a web browser.

Support¶

The Samlab documentation:

http://samlab.readthedocs.io

Visit our GitHub repository for access to source code, issue tracker, regression tests, and the wiki:

http://github.com/sandialabs/samlab

And here are our test coverage stats, updated automatically when modifications are committed:

https://coveralls.io/r/sandialabs/samlab

For Samlab questions, comments, or suggestions, get in touch with the team at:

https://github.com/sandialabs/samlab/discussions

Otherwise, you can contact Tim directly:

Timothy M. Shead - tshead@sandia.gov

Release Notes¶

Samlab 0.2.0 - October 13th, 2021¶

Complete rewrite of the dashboard server, replacing the MongoDB storage with a more flexible system of backend data adapters - now, Samlab adjusts to work with your data, instead of the other way around.

Samlab 0.1.0 - May 24th, 2018¶

Initial Release

Welcome!¶

Documentation¶

Installation¶

Using Pip / Easy Install¶

From Source¶

Overview¶

Command Line Tools¶

Dashboard¶

Interaction¶

Notebooks¶

Torch¶

API Reference¶

samlab module¶

samlab.dashboard module¶

samlab.dashboard.acl module¶

samlab.dashboard.authentication module¶

samlab.dashboard.backend module¶

samlab.dashboard.backend.documents module¶

samlab.dashboard.backend.favorites module¶

samlab.dashboard.backend.images module¶

samlab.dashboard.backend.layouts module¶

samlab.dashboard.backend.timeseries module¶

samlab.dashboard.credentials module¶

samlab.dashboard.service module¶

samlab.dashboard.service.asynchronous module¶

samlab.dashboard.service.backends module¶

samlab.dashboard.service.basic module¶

samlab.dashboard.service.documents module¶

samlab.dashboard.service.favorites module¶

samlab.dashboard.service.images module¶

samlab.dashboard.service.layouts module¶

samlab.dashboard.service.notify module¶

samlab.dashboard.service.timeseries module¶

samlab.debounce module¶

samlab.interactive module¶

samlab.notebook module¶

samlab.torch module¶

samlab.train module¶

Compatibility¶

Developers¶

Getting Started¶

Versioning¶

Coding Style¶

Running Regression Tests¶

Test Coverage¶

Building the Documentation¶

Support¶

Release Notes¶

Samlab 0.2.0 - October 13th, 2021¶

Samlab 0.1.0 - May 24th, 2018¶

Indices and tables¶