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Xpdeep Platform Access#

If you do not have access to the Xpdeep platform and would like to request it, please fill out this form.

πŸ“© Contact support: support@xpdeep.com

1. πŸ” Getting Started#

1.1 Creating and Managing Users (Admin role)#

  1. Click the User menu (bottom-left of the screen), then select Settings.
  2. Open XpViz Users (this page may take a few seconds to load).
  3. Click Create user, enter the new user’s email address, then confirm with Create.

1.2 Inviting Users to a Project#

  1. Click the User menu (bottom-left of the screen), then select Settings.
  2. Open Project Users.
  3. Under Roles & Permissions, select the target project.
  4. Click Add Users to invite a user to the selected project.
  5. To change a user’s role, use the drop-down menu in the Role column.

1.3 Technical Documentation#

Consult our full documentation

⚠️ For users who have previously accessed the Xpdeep documentation, please clear your browser cache or use private browsing to ensure you are viewing the latest version.

Useful sections:

  • Installing the Xpdeep package – Installation of the xpdeep package.
  • Sota-to-Xpdeep tutorial – Transitioning from a classic PyTorch model to an explainable deep Xpdeep model.
  • Case studies – Concrete implementations on tabular and temporal data.
  • Explain an Existing Model – Examples of how to explain existing models.

1.3 API Key Generation#

From the XpViz interface:

οΈ™ β†’ My Account β†’ Settings β†’ API Keys

Use the SaaS API key for your first request.

⚠️ This environment is reserved for tests on medium-sized datasets.

1.4 Limitations#

Given the test environment:

  • Training and inference times may not be representative of real performance.
  • The number of grouped inferences is limited to 200.

2. πŸ” Exploration of Models and Their Explanations (XpViz)#

2.1 Viewing a Trained Model#

Select a model, then click Explain to explore its explanations.

2.2 Generating and Explaining Inferences#

  1. Go to Model for Inference.
  2. Select a dataset, then click Edit.
  3. Choose one or more samples of interest.
  4. Start generating predictions and the associated explanations.

2.3 Navigation Help#

In the XpViz interface, from: οΈ™ β†’ My Account β†’ XpViz Tutorial, you have access to:

  • A presentation video of several core Xpdeep features using the AdultIncome model.

3. πŸ“Š Advanced Analyses#

3.1 Prescriptive Analysis (How-to)#

Automatically calibrates input data to evolve an initial prediction toward a target prediction.

Example: Identify how to adjust sensors to extend the time before a failure, moving from a forecast of 6 hours to 48 hours.

3.2 Comparative Analysis#

Identifies the factors the model uses similarly or differently when predicting results for two groups of interest.

3.3 Notes#

  • These two analyses are currently available for tabular data.
  • Prescriptive analysis is also available for temporal data (classification).
  • Their generalization to all types of data and tasks is being deployed (you will be informed as soon as they are available).

4. πŸ’Ό Access to the XpAct Business Interface#

We also provide access to XpAct, the business-oriented interface, for the Axa and Prostate-Cancer models, from οΈ™ β†’ My Account β†’ XpAct. The generalization of this interface to other models is in progress.

5. 🧩 Explainable Models Available in XpViz#

Tabular Data

Model Name Data Type AI Task Advanced Analysis
Adult Income Tabular Classification How-To, Comparative Analysis
Bike Tabular Regression How-To, Comparative Analysis
Axa Tabular Multi-target regression How-To, Comparative Analysis
Prostate-Cancer Tabular Classification How-To, Comparative Analysis

Temporal Data

Model Name Data Type AI Task Advanced Analysis
Human Activity Recognition Multivariate Time Series Classification How-To, Comparative Analysis
Air Quality Multivariate Time Series Forecasting Ongoing
Scania Multivariate Time Series Anomaly Detection, Classification How-To
Virtual Sensors Multivariate Time Series Multi-target regression Ongoing

Images Data

Model Name Data Type AI Task Advanced Analysis
Kitti Images Object Detection Ongoing
Wolf-Husky Images Classification Ongoing
MNIST Images Classification Ongoing